Difference between revisions of "User:Shawndouglas/sandbox/sublevel13"

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==Feed testing laboratories, their roles, and information management==
==Feed testing laboratories, their roles, and information management==
A feed testing [[laboratory]] can operate within a number of different production, research and development (R&D&#59; academic and industry), and [[public health]] contexts. They can<ref name="WardObtain24">{{cite web |url=https://animal.ifas.ufl.edu/media/animalifasufledu/dairy-website/ruminant-nutrition-symposium/archives/12.-WardRNS2024.pdf |format=PDF |author=Ward, R. |title=Obtaining value from a feed/forage lab engagement |work=Florida Ruminant Nutrition Symposium |date=27 February 2024 |accessdate=22 May 2024}}</ref>:
A feed testing [[laboratory]] can operate within a number of different production, research and development (R&D&#59; academic and industry), and [[public health]] contexts. They can<ref name="WardObtain24">{{cite web |url=https://animal.ifas.ufl.edu/media/animalifasufledu/dairy-website/ruminant-nutrition-symposium/archives/12.-WardRNS2024.pdf |format=PDF |author=Ward, R. |title=Obtaining value from a feed/forage lab engagement |work=Florida Ruminant Nutrition Symposium |date=27 February 2024 |accessdate=28 May 2024}}</ref>:


*act as a third-party consultant, interpreting analytical data;
*act as a third-party consultant, interpreting analytical data;
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*report accurate and timely results to stakeholders, including those responsible for monitoring public health.
*report accurate and timely results to stakeholders, including those responsible for monitoring public health.


This wide variety of roles further highlights the already obvious cross-disciplinary nature of analyzing animal feed ingredients and products, and interpreting the resulting data. The human [[Biology|biological]] sciences, [[Veterinary medicine|veterinary sciences]], [[environmental science]]s, [[chemistry]], [[microbiology]], [[radiochemistry]], [[botany]], [[epidemiology]], and more may be involved within a given animal feed analysis laboratory.<ref>{{Cite journal |last=Schnepf |first=Anne |last2=Hille |first2=Katja |last3=van Mark |first3=Gesine |last4=Winkelmann |first4=Tristan |last5=Remm |first5=Karen |last6=Kunze |first6=Katrin |last7=Velleuer |first7=Reinhard |last8=Kreienbrock |first8=Lothar |date=2024-02-06 |title=Basis for a One Health Approach—Inventory of Routine Data Collections on Zoonotic Diseases in Lower Saxony, Germany |url=https://www.mdpi.com/2813-0227/4/1/7 |journal=Zoonotic Diseases |language=en |volume=4 |issue=1 |pages=57–73 |doi=10.3390/zoonoticdis4010007 |issn=2813-0227}}</ref><ref name="PFPLSWHumanAnim18">{{cite web |url=https://www.aphl.org/programs/food_safety/APHL%20Documents/LBPM_Dec2018.pdf |format=PDF |title=Human and Animal Food Testing Laboratories Best Practices Manual |author=Partnership for Food Protection Laboratory Science Workgroup |date=December 2018 |accessdate=22 May 2024}}</ref><ref name=":0">{{Cite journal |last=Wood |first=Hannah |last2=O'Connor |first2=Annette |last3=Sargeant |first3=Jan |last4=Glanville |first4=Julie |date=2018-12 |title=Information retrieval for systematic reviews in food and feed topics: A narrative review |url=https://onlinelibrary.wiley.com/doi/10.1002/jrsm.1289 |journal=Research Synthesis Methods |language=en |volume=9 |issue=4 |pages=527–539 |doi=10.1002/jrsm.1289 |issn=1759-2879}}</ref> Given this significant cross-disciplinarity, it's arguably more challenging for software developers to create [[laboratory informatics]] solutions like a [[laboratory information management system]] (LIMS) that have the breadth to cover the production, R&D, and public health contexts of animal feed testing. In fact, an industry lab performing [[quality control]] (QC) work for a company will likely have zero interest in public health-driven reporting functionality (e.g., as per the [[Food and Drug Administration]]'s Animal Food Regulatory Program Standards [AFRPS]<ref name="FDAAFRPS23">{{cite web |url=https://www.fda.gov/media/136030/download?attachment |format=PDF |title=Animal Food Regulatory Program Standards |author=Office of Regulatory Affairs |publisher=U.S. Food and Drug Administration |date=2023 |accessdate=25 May 2024}}</ref>), and a LIMS that focuses on QC [[workflow]]s may be more highly desirable.  
This wide variety of roles further highlights the already obvious cross-disciplinary nature of analyzing animal feed ingredients and products, and interpreting the resulting data. The human [[Biology|biological]] sciences, [[Veterinary medicine|veterinary sciences]], [[environmental science]]s, [[chemistry]], [[microbiology]], [[radiochemistry]], [[botany]], [[epidemiology]], and more may be involved within a given animal feed analysis laboratory.<ref>{{Cite journal |last=Schnepf |first=Anne |last2=Hille |first2=Katja |last3=van Mark |first3=Gesine |last4=Winkelmann |first4=Tristan |last5=Remm |first5=Karen |last6=Kunze |first6=Katrin |last7=Velleuer |first7=Reinhard |last8=Kreienbrock |first8=Lothar |date=2024-02-06 |title=Basis for a One Health Approach—Inventory of Routine Data Collections on Zoonotic Diseases in Lower Saxony, Germany |url=https://www.mdpi.com/2813-0227/4/1/7 |journal=Zoonotic Diseases |language=en |volume=4 |issue=1 |pages=57–73 |doi=10.3390/zoonoticdis4010007 |issn=2813-0227}}</ref><ref name="PFPLSWHumanAnim18">{{cite web |url=https://www.aphl.org/programs/food_safety/APHL%20Documents/LBPM_Dec2018.pdf |format=PDF |title=Human and Animal Food Testing Laboratories Best Practices Manual |author=Partnership for Food Protection Laboratory Science Workgroup |date=December 2018 |accessdate=28 May 2024}}</ref><ref name=":0">{{Cite journal |last=Wood |first=Hannah |last2=O'Connor |first2=Annette |last3=Sargeant |first3=Jan |last4=Glanville |first4=Julie |date=2018-12 |title=Information retrieval for systematic reviews in food and feed topics: A narrative review |url=https://onlinelibrary.wiley.com/doi/10.1002/jrsm.1289 |journal=Research Synthesis Methods |language=en |volume=9 |issue=4 |pages=527–539 |doi=10.1002/jrsm.1289 |issn=1759-2879}}</ref> Given this significant cross-disciplinarity, it's arguably more challenging for software developers to create [[laboratory informatics]] solutions like a [[laboratory information management system]] (LIMS) that have the breadth to cover the production, R&D, and public health contexts of animal feed testing. In fact, an industry lab performing [[quality control]] (QC) work for a company will likely have zero interest in public health-driven reporting functionality (e.g., as per the [[Food and Drug Administration]]'s Animal Food Regulatory Program Standards [AFRPS]<ref name="FDAAFRPS23">{{cite web |url=https://www.fda.gov/media/136030/download?attachment |format=PDF |title=Animal Food Regulatory Program Standards |author=Office of Regulatory Affairs |publisher=U.S. Food and Drug Administration |date=2023 |accessdate=28 May 2024}}</ref>), and a LIMS that focuses on QC [[workflow]]s may be more highly desirable.  


That said, this Q&A article will examine LIMS functionality that broadly addresses the needs of all three contexts for animal feed analyses. Understand that the LIMS solution your feed lab may be looking for may not require some of the functionality addressed here, particularly in the specialty LIMS requirements section. But also understand the broader context of feed testing and how it highlights some of the challenges of finding a feed testing LIMS that is just right for your lab. This search may be further complicated by other informatics options. In a few cases, standalone formulation and [[enterprise resource planning]] (ERP) solutions for the feed industry exist.<ref name="FSHome">{{cite web |url=https://formatsolutions.com/ |title=FormatSolutions: At the Forefront of Feed |publisher=Format Solutions, Inc |accessdate=25 May 2024}}</ref> Some LIMS may have these sorts of features built-in already, so the choice of whether or not to adopt a LIMS in conjunction with other standalone solutions or find a LIMS that incorporates those formulation and ERP functions will have to be carefully considered. Also worth mentioning are systems such as the [[electronic laboratory notebook]] (ELN), [[laboratory execution system]] (LES), and [[manufacturing execution system]] (MES), which play a role in feed-based R&D and production contexts. Even here we find some cross-compatibility with LIMS functionality, and the question of integrating multiple systems or reducing IT and personnel overhead with a greater one-size-fits-all solution arises again. Ultimately it will be up to the organization to determine its needs and find an approach that works for them. Going forward, we'll focus on the LIMS, however.
That said, this Q&A article will examine LIMS functionality that broadly addresses the needs of all three contexts for animal feed analyses. Understand that the LIMS solution your feed lab may be looking for may not require some of the functionality addressed here, particularly in the specialty LIMS requirements section. But also understand the broader context of feed testing and how it highlights some of the challenges of finding a feed testing LIMS that is just right for your lab. This search may be further complicated by other informatics options. In a few cases, standalone formulation and [[enterprise resource planning]] (ERP) solutions for the feed industry exist.<ref name="FSHome">{{cite web |url=https://formatsolutions.com/ |title=FormatSolutions: At the Forefront of Feed |publisher=Format Solutions, Inc |accessdate=28 May 2024}}</ref> Some LIMS may have these sorts of features built-in already, so the choice of whether or not to adopt a LIMS in conjunction with other standalone solutions or find a LIMS that incorporates those formulation and ERP functions will have to be carefully considered. Also worth mentioning are systems such as the [[electronic laboratory notebook]] (ELN), [[laboratory execution system]] (LES), and [[manufacturing execution system]] (MES), which play a role in feed-based R&D and production contexts. Even here we find some cross-compatibility with LIMS functionality, and the question of integrating multiple systems or reducing IT and personnel overhead with a greater one-size-fits-all solution arises again. Ultimately it will be up to the organization to determine its needs and find an approach that works for them. Going forward, we'll focus on the LIMS, however.


==Base LIMS requirements for animal feed testing==
==Base LIMS requirements for animal feed testing==
Through its workflow management and traceability mechanisms, thoughtful implementation of a LIMS by the feed-based organization can provide a number of benefits to process management, stakeholder interactions, traceability of raw ingredients, and much more.<ref name="PFPLSWHumanAnim18" /><ref name="FAOTheFeed13" /><ref name="ThurstonFood09">{{cite web |url=https://www.americanlaboratory.com/914-Application-Notes/654-Food-Safety-The-Value-of-LIMS-in-This-Regulated-Environment/ |title=Food Safety: The Value of LIMS in This Regulated Environment |author=Thurston, C. |work=American Laboratory |date=28 May 2009 |accessdate=25 May 2024}}</ref> Given the importance of [[ISO/IEC 17025]]'s concepts to feed testing laboratories (whether accredited to the standard or not)<ref name="APHLBestPrac17">{{cite web |url=https://www.aphl.org/aboutAPHL/publications/Documents/FS-2017Jun-Best-Practices-Food-Feed-Data.pdf |format=PDF |title=Best Practices for Submission of Actionable Food and Feed Testing Data Generated in State and Local Laboratories |author=Association of Public Health Laboratories |date=June 2017 |accessdate=28 May 2024}}</ref>, a feed testing LIMS that provides functionality to assist with ISO/IEC 17025 criteria (as found in Appendix A of the Association of Public Health Laboratories' [APHL's] best practices guide for food and feed testing<ref name="APHLBestPrac17" />) provides even more benefits to the feed-based organization.<ref name="DouglasWhatLIMS23">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_to_better_comply_with_ISO/IEC_17025%3F |title=LIMS Q&A:What are the key elements of a LIMS to better comply with ISO/IEC 17025? |work=LIMSwiki |author=Douglas, S.E. |date=January 2023 |accessdate=28 May 2024}}</ref>
Through its workflow management and traceability mechanisms, thoughtful implementation of a LIMS by the feed-based organization can provide a number of benefits to process management, stakeholder interactions, traceability of raw ingredients, and much more.<ref name="PFPLSWHumanAnim18" /><ref name="FAOTheFeed13" /><ref name="ThurstonFood09">{{cite web |url=https://www.americanlaboratory.com/914-Application-Notes/654-Food-Safety-The-Value-of-LIMS-in-This-Regulated-Environment/ |title=Food Safety: The Value of LIMS in This Regulated Environment |author=Thurston, C. |work=American Laboratory |date=28 May 2009 |accessdate=28 May 2024}}</ref> Given the importance of [[ISO/IEC 17025]]'s concepts to feed testing laboratories (whether accredited to the standard or not)<ref name="APHLBestPrac17">{{cite web |url=https://www.aphl.org/aboutAPHL/publications/Documents/FS-2017Jun-Best-Practices-Food-Feed-Data.pdf |format=PDF |title=Best Practices for Submission of Actionable Food and Feed Testing Data Generated in State and Local Laboratories |author=Association of Public Health Laboratories |date=June 2017 |accessdate=28 May 2024}}</ref>, a feed testing LIMS that provides functionality to assist with ISO/IEC 17025 criteria (as found in Appendix A of the Association of Public Health Laboratories' [APHL's] best practices guide for food and feed testing<ref name="APHLBestPrac17" />) provides even more benefits to the feed-based organization.<ref name="DouglasWhatLIMS23">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_to_better_comply_with_ISO/IEC_17025%3F |title=LIMS Q&A:What are the key elements of a LIMS to better comply with ISO/IEC 17025? |work=LIMSwiki |author=Douglas, S.E. |date=January 2023 |accessdate=28 May 2024}}</ref>


What follows is a list of system functionality important to most any feed testing laboratory, with a majority of that functionality—including supportive ISO/IEC 17025 functionality<ref name="DouglasWhatLIMS23" />—found in many vendor software solutions.<ref name="WardObtain24" /><ref name="PFPLSWHumanAnim18" /><ref name="FDAAFRPS23" /><ref name="FAOTheFeed13">{{cite web |url=https://www.fao.org/4/i3535e/i3535e.pdf |format=PDF |title=The Feed Analysis Laboratory: Establishment and Quality Control |author=deJonge, L.H.; Jackson, F.S.; Makkar, H.P.S. |publisher=Food and Agriculture Organization of the United Nations |date=2013 |accessdate=25 May 2024}}</ref><ref name="OpenCoLIMS">{{cite web |url=https://www.openco.it/en/production-laboratory/ |title=ProLabQ - The LIMS system for your production laboratory |publisher=Open-Co S.r.l |accessdate=25 May 2024}}</ref><ref name="TNATCUSAPlants19">{{cite web |url=https://tnatc.org/assets/downloads/USAPlants-2019-05-01.pdf |format=PDF |title=USAPlants |publisher=NATC |date=01 May 2019 |accessdate=25 May 2024}}</ref><ref name="MCIAgric">{{cite web |url=https://www.mci-it.co.za/agricultural-seed-and-food |title=Agriculture, Seed and Food Laboratories |publisher=Mci IT Pty. Ltd |accessdate=25 May 2024}}</ref><ref name="LabWorksAgLIMS">{{cite web |url=https://labworks.com/lims-industries/agriculture/ |title=LIMS for Agriculture and Farming |publisher=Labworks, LLC |accessdate=25 May 2024}}</ref><ref name="QBenchLIMSAg">{{cite web |url=https://qbench.com/qbench-lims-agriculture-testing-labs |title=LIMS for Agriculture Testing Environments |publisher=QBench, Inc |accessdate=25 May 2024}}</ref><ref name="BESTMIXQuality">{{cite web |url=https://www.adifo.com/en/brands/bestmix-quality-control |title=BESTMIX Quality Control |publisher=Adifo NV |accessdate=25 May 2024}}</ref><ref name="TrouwRole20">{{cite web |url=https://www.trouwnutritionasiapacific.com/en-in/7.0-tn-In-news-and-events/highlighted-stories/2020/role-of-quality-control-laboratories-in-animal-feed-production/ |title=Role of Quality Control Laboratories in Animal Feed Production  |publisher=Trouw Nutrition |date=23 June 2020 |accessdate=25 May 2024}}</ref>
What follows is a list of system functionality important to most any feed testing laboratory, with a majority of that functionality—including supportive ISO/IEC 17025 functionality<ref name="DouglasWhatLIMS23" />—found in many vendor software solutions.<ref name="WardObtain24" /><ref name="PFPLSWHumanAnim18" /><ref name="FDAAFRPS23" /><ref name="FAOTheFeed13">{{cite web |url=https://www.fao.org/4/i3535e/i3535e.pdf |format=PDF |title=The Feed Analysis Laboratory: Establishment and Quality Control |author=deJonge, L.H.; Jackson, F.S.; Makkar, H.P.S. |publisher=Food and Agriculture Organization of the United Nations |date=2013 |accessdate=28 May 2024}}</ref><ref name="OpenCoLIMS">{{cite web |url=https://www.openco.it/en/production-laboratory/ |title=ProLabQ - The LIMS system for your production laboratory |publisher=Open-Co S.r.l |accessdate=28 May 2024}}</ref><ref name="TNATCUSAPlants19">{{cite web |url=https://tnatc.org/assets/downloads/USAPlants-2019-05-01.pdf |format=PDF |title=USAPlants |publisher=NATC |date=01 May 2019 |accessdate=28 May 2024}}</ref><ref name="MCIAgric">{{cite web |url=https://www.mci-it.co.za/agricultural-seed-and-food |title=Agriculture, Seed and Food Laboratories |publisher=Mci IT Pty. Ltd |accessdate=28 May 2024}}</ref><ref name="LabWorksAgLIMS">{{cite web |url=https://labworks.com/lims-industries/agriculture/ |title=LIMS for Agriculture and Farming |publisher=Labworks, LLC |accessdate=28 May 2024}}</ref><ref name="QBenchLIMSAg">{{cite web |url=https://qbench.com/qbench-lims-agriculture-testing-labs |title=LIMS for Agriculture Testing Environments |publisher=QBench, Inc |accessdate=28 May 2024}}</ref><ref name="BESTMIXQuality">{{cite web |url=https://www.adifo.com/en/brands/bestmix-quality-control |title=BESTMIX Quality Control |publisher=Adifo NV |accessdate=28 May 2024}}</ref><ref name="TrouwRole20">{{cite web |url=https://www.trouwnutritionasiapacific.com/en-in/7.0-tn-In-news-and-events/highlighted-stories/2020/role-of-quality-control-laboratories-in-animal-feed-production/ |title=Role of Quality Control Laboratories in Animal Feed Production  |publisher=Trouw Nutrition |date=23 June 2020 |accessdate=28 May 2024}}</ref>


'''Test, sample and result management'''
'''Test, sample and result management'''
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==Specialty LIMS requirements==
==Specialty LIMS requirements==
To be sure, a LIMS designed for animal feed testing must have pre-loaded and configurable tests and methods unique to the industry (mentioned above), making workflow management simpler for these labs, whether affiliated with production, R&D, or public health contexts. (Though, as mentioned prior, finding a LIMS that meets all the test and method needs of these three contexts may be more challenging.) However, there are other aspects of organizations testing animal feed that, with a few exceptions (e.g., the closely related food and beverage industry<ref name="DouglasWhatFood22">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_for_food_and_beverage_testing%3F |title=LIMS Q&A:What are the key elements of a LIMS for food and beverage testing? |author=Douglas, S.E. |work=LIMSwiki |date=September 2022 |accessdate=25 May 2024}}</ref>), are somewhat unique to their efforts. What follows are some of the specialty considerations LIMS developers may take with their feed testing LIMS.
To be sure, a LIMS designed for animal feed testing must have pre-loaded and configurable tests and methods unique to the industry (mentioned above), making workflow management simpler for these labs, whether affiliated with production, R&D, or public health contexts. (Though, as mentioned prior, finding a LIMS that meets all the test and method needs of these three contexts may be more challenging.) However, there are other aspects of organizations testing animal feed that, with a few exceptions (e.g., the closely related food and beverage industry<ref name="DouglasWhatFood22">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_for_food_and_beverage_testing%3F |title=LIMS Q&A:What are the key elements of a LIMS for food and beverage testing? |author=Douglas, S.E. |work=LIMSwiki |date=September 2022 |accessdate=28 May 2024}}</ref>), are somewhat unique to their efforts. What follows are some of the specialty considerations LIMS developers may take with their feed testing LIMS.


*'''Manage recipes, as well as master and batch production records''': This functionality is more in the domain of the LES or MES. However, a few LIMS vendors may extend their LIMS to provide these formulation features. Given that the HACCP rules, in particular, mandate the creation and management of batch production and in-process manufacturing material records, some feed production facilities testing batches and manufacturing materials may appreciate support for formula optimization, ingredient management, batch management, and more.<ref name="FSForumlation">{{cite web |url=https://formatsolutions.com/products/formulation-software |title=Formulation software |publisher=FormatSolutions, Inc |accessdate=25 May 2024}}</ref><ref name="BESTMIXFeed">{{cite web |url=https://www.adifo.com/en/brands/bestmix-for-feed-and-ration |title=BESTMIX Recipe Management (Feed) |publisher=Adifo NV |accessdate=25 May 2024}}</ref>
*'''Manage recipes, as well as master and batch production records''': This functionality is more in the domain of the LES or MES. However, a few LIMS vendors may extend their LIMS to provide these formulation features. Given that the HACCP rules, in particular, mandate the creation and management of batch production and in-process manufacturing material records, some feed production facilities testing batches and manufacturing materials may appreciate support for formula optimization, ingredient management, batch management, and more.<ref name="FSForumlation">{{cite web |url=https://formatsolutions.com/products/formulation-software |title=Formulation software |publisher=FormatSolutions, Inc |accessdate=28 May 2024}}</ref><ref name="BESTMIXFeed">{{cite web |url=https://www.adifo.com/en/brands/bestmix-for-feed-and-ration |title=BESTMIX Recipe Management (Feed) |publisher=Adifo NV |accessdate=28 May 2024}}</ref>


*'''Support molecular biology and nutritional testing workflows''': [[Molecular biology]] and nutritional testing are important tools in the research of improving animal feeds and their ingredients, as well as managing their quality. However, not all LIMS are ideally equipped to handle related workflow aspects such as nucleic acid extraction, protein and cell isolation, gene expression, and genotyping.<ref>{{Cite journal |last=Haq |first=Zulfqar ul |last2=Saleem |first2=Afnan |last3=Khan |first3=Azmat Alam |last4=Dar |first4=Mashooq Ahmad |last5=Ganaie |first5=Abdul Majeed |last6=Beigh |first6=Yasir Afzal |last7=Hamadani |first7=Heena |last8=Ahmad |first8=Syed Mudasir |date=2022-09 |title=Nutrigenomics in livestock sector and its human-animal interface-a review |url=https://linkinghub.elsevier.com/retrieve/pii/S2451943X22000333 |journal=Veterinary and Animal Science |language=en |volume=17 |pages=100262 |doi=10.1016/j.vas.2022.100262}}</ref> A lab using such techniques may have to do extra due diligence in finding a feed testing LIMS that also supports these workflow tasks.
*'''Support molecular biology and nutritional testing workflows''': [[Molecular biology]] and nutritional testing are important tools in the research of improving animal feeds and their ingredients, as well as managing their quality. However, not all LIMS are ideally equipped to handle related workflow aspects such as nucleic acid extraction, protein and cell isolation, gene expression, and genotyping.<ref>{{Cite journal |last=Haq |first=Zulfqar ul |last2=Saleem |first2=Afnan |last3=Khan |first3=Azmat Alam |last4=Dar |first4=Mashooq Ahmad |last5=Ganaie |first5=Abdul Majeed |last6=Beigh |first6=Yasir Afzal |last7=Hamadani |first7=Heena |last8=Ahmad |first8=Syed Mudasir |date=2022-09 |title=Nutrigenomics in livestock sector and its human-animal interface-a review |url=https://linkinghub.elsevier.com/retrieve/pii/S2451943X22000333 |journal=Veterinary and Animal Science |language=en |volume=17 |pages=100262 |doi=10.1016/j.vas.2022.100262}}</ref> A lab using such techniques may have to do extra due diligence in finding a feed testing LIMS that also supports these workflow tasks.
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*'''Provide a web-based portal for internal and external stakeholders''': Whether producing feed or conducting surveillance testing of feed, many stakeholders come into play, and giving them secure, ready access to aspects of the workflow (e.g., from pre-registering samples to checking final results) is useful. A secure web-based portal that allows authorized stakeholders role-based access to sections of the LIMS can further improve workflow efficiency and communication patterns for the feed testing lab.
*'''Provide a web-based portal for internal and external stakeholders''': Whether producing feed or conducting surveillance testing of feed, many stakeholders come into play, and giving them secure, ready access to aspects of the workflow (e.g., from pre-registering samples to checking final results) is useful. A secure web-based portal that allows authorized stakeholders role-based access to sections of the LIMS can further improve workflow efficiency and communication patterns for the feed testing lab.


*'''Develop and/or support regulatory-driven safety plans''': The HACCP quality control method is recommended or required for feed mills and other producers, and the integration of HACCP methods into the labs testing those feeds may also have value. (HACCP is also an influence on ISO/IEC 17025, which is a major accreditation standard for feed testing laboratories.)<ref name="RoembkeHow17">{{cite web |url=https://www.feedstrategy.com/animal-feed-manufacturing/feed-mill-management/article/15439075/how-testing-factors-into-feed-mill-haccp-plans |title=How testing factors into feed mill HACCP plans |author=Roembke, J. |work=FeedStrategy |date=20 February 2017 |accessdate=25 May 2024}}</ref> Some LIMS vendors have recognized this and integrated support for building HACCP steps into laboratory workflows. In some cases this may be as sophisticated as allowing the user to diagram HACCP in their lab or facility as a visualization tool. However, even if HACCP diagraming isn't integrated into a LIMS and its workflow tools, the LIMS should at least recognize HACCP-related testing as a specific test category, with its own requirements, including support for critical control point (CCP) specifications and limits.
*'''Develop and/or support regulatory-driven safety plans''': The HACCP quality control method is recommended or required for feed mills and other producers, and the integration of HACCP methods into the labs testing those feeds may also have value. (HACCP is also an influence on ISO/IEC 17025, which is a major accreditation standard for feed testing laboratories.)<ref name="RoembkeHow17">{{cite web |url=https://www.feedstrategy.com/animal-feed-manufacturing/feed-mill-management/article/15439075/how-testing-factors-into-feed-mill-haccp-plans |title=How testing factors into feed mill HACCP plans |author=Roembke, J. |work=FeedStrategy |date=20 February 2017 |accessdate=28 May 2024}}</ref> Some LIMS vendors have recognized this and integrated support for building HACCP steps into laboratory workflows. In some cases this may be as sophisticated as allowing the user to diagram HACCP in their lab or facility as a visualization tool. However, even if HACCP diagraming isn't integrated into a LIMS and its workflow tools, the LIMS should at least recognize HACCP-related testing as a specific test category, with its own requirements, including support for critical control point (CCP) specifications and limits.


*'''Provide mechanisms to make data and information more FAIR''': Like many other disciplines, modern academic and industrial research of feed ingredient selection, feed formulation, and feed production is plagued by interdisciplinary research data and information (i.e., objects) "in a broad range of [heterogeneous] information formats [that] involve inconsistent vocabulary and difficult‐to‐define concepts."<ref name=":0" /> This makes attractive data discovery options<ref name=":0" /> such as text mining, cluster searching, and [[artificial intelligence]] (AI) methods less effective, in turn hampering innovation, discovery, and improved health outcomes. As such, research labs of all sorts are increasingly turning to the FAIR principles, which encourage processes that make research objects more findable, accessible, interoperable, and reusable.<ref>{{Cite journal |last=Wilkinson |first=Mark D. |last2=Dumontier |first2=Michel |last3=Aalbersberg |first3=IJsbrand Jan |last4=Appleton |first4=Gabrielle |last5=Axton |first5=Myles |last6=Baak |first6=Arie |last7=Blomberg |first7=Niklas |last8=Boiten |first8=Jan-Willem |last9=da Silva Santos |first9=Luiz Bonino |last10=Bourne |first10=Philip E. |last11=Bouwman |first11=Jildau |date=2016-03-15 |title=The FAIR Guiding Principles for scientific data management and stewardship |url=https://www.nature.com/articles/sdata201618 |journal=Scientific Data |language=en |volume=3 |issue=1 |pages=160018 |doi=10.1038/sdata.2016.18 |issn=2052-4463}}</ref> A handful of software developers have become more attuned to this demand and have developed or modified their systems to produce research objects that are produced using [[metadata]]- and [[Semantics|semantic-driven]] technologies and frameworks.<ref name="DouglasWhyAre24">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:Why_are_the_FAIR_data_principles_increasingly_important_to_research_laboratories_and_their_software%3F |title=LIMS Q&A:Why are the FAIR data principles increasingly important to research laboratories and their software? |author=Douglas, S.E. |work=LIMSwiki |date=May 2024 |accessdate=22 May 2024}}</ref> Producing FAIR data is more important to the academic research and public health contexts of feed testing, but can still be useful to other industrial contexts, as having interoperable and reusable data in industry can lead to greater innovation and process improvement.<ref>{{Cite journal |last=van Vlijmen |first=Herman |last2=Mons |first2=Albert |last3=Waalkens |first3=Arne |last4=Franke |first4=Wouter |last5=Baak |first5=Arie |last6=Ruiter |first6=Gerbrand |last7=Kirkpatrick |first7=Christine |last8=da Silva Santos |first8=Luiz Olavo Bonino |last9=Meerman |first9=Bert |last10=Jellema |first10=Renger |last11=Arts |first11=Derk |date=2020-01 |title=The Need of Industry to Go FAIR |url=https://direct.mit.edu/dint/article/2/1-2/276-284/10011 |journal=Data Intelligence |language=en |volume=2 |issue=1-2 |pages=276–284 |doi=10.1162/dint_a_00050 |issn=2641-435X}}</ref> Of course, all animal feed testing labs can benefit from software systems that generate FAIRer data. For example, FAIR-driven, internationally accepted vocabulary and data descriptors for mycotoxin contamination data can be used in research and laboratory software, making that data more interoperable and reusable.<ref name=":1">{{Cite journal |last=Mesfin |first=Addisalem |last2=Lachat |first2=Carl |last3=Vidal |first3=Arnau |last4=Croubels |first4=Siska |last5=Haesaert |first5=Geert |last6=Ndemera |first6=Melody |last7=Okoth |first7=Sheila |last8=Belachew |first8=Tefera |last9=Boevre |first9=Marthe De |last10=De Saeger |first10=Sarah |last11=Matumba |first11=Limbikani |date=2022-02 |title=Essential descriptors for mycotoxin contamination data in food and feed |url=https://linkinghub.elsevier.com/retrieve/pii/S0963996921007833 |journal=Food Research International |language=en |volume=152 |pages=110883 |doi=10.1016/j.foodres.2021.110883}}</ref> This leads into...
*'''Provide mechanisms to make data and information more FAIR''': Like many other disciplines, modern academic and industrial research of feed ingredient selection, feed formulation, and feed production is plagued by interdisciplinary research data and information (i.e., objects) "in a broad range of [heterogeneous] information formats [that] involve inconsistent vocabulary and difficult‐to‐define concepts."<ref name=":0" /> This makes attractive data discovery options<ref name=":0" /> such as text mining, cluster searching, and [[artificial intelligence]] (AI) methods less effective, in turn hampering innovation, discovery, and improved health outcomes. As such, research labs of all sorts are increasingly turning to the FAIR principles, which encourage processes that make research objects more findable, accessible, interoperable, and reusable.<ref>{{Cite journal |last=Wilkinson |first=Mark D. |last2=Dumontier |first2=Michel |last3=Aalbersberg |first3=IJsbrand Jan |last4=Appleton |first4=Gabrielle |last5=Axton |first5=Myles |last6=Baak |first6=Arie |last7=Blomberg |first7=Niklas |last8=Boiten |first8=Jan-Willem |last9=da Silva Santos |first9=Luiz Bonino |last10=Bourne |first10=Philip E. |last11=Bouwman |first11=Jildau |date=2016-03-15 |title=The FAIR Guiding Principles for scientific data management and stewardship |url=https://www.nature.com/articles/sdata201618 |journal=Scientific Data |language=en |volume=3 |issue=1 |pages=160018 |doi=10.1038/sdata.2016.18 |issn=2052-4463}}</ref> A handful of software developers have become more attuned to this demand and have developed or modified their systems to produce research objects that are produced using [[metadata]]- and [[Semantics|semantic-driven]] technologies and frameworks.<ref name="DouglasWhyAre24">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:Why_are_the_FAIR_data_principles_increasingly_important_to_research_laboratories_and_their_software%3F |title=LIMS Q&A:Why are the FAIR data principles increasingly important to research laboratories and their software? |author=Douglas, S.E. |work=LIMSwiki |date=May 2024 |accessdate=28 May 2024}}</ref> Producing FAIR data is more important to the academic research and public health contexts of feed testing, but can still be useful to other industrial contexts, as having interoperable and reusable data in industry can lead to greater innovation and process improvement.<ref>{{Cite journal |last=van Vlijmen |first=Herman |last2=Mons |first2=Albert |last3=Waalkens |first3=Arne |last4=Franke |first4=Wouter |last5=Baak |first5=Arie |last6=Ruiter |first6=Gerbrand |last7=Kirkpatrick |first7=Christine |last8=da Silva Santos |first8=Luiz Olavo Bonino |last9=Meerman |first9=Bert |last10=Jellema |first10=Renger |last11=Arts |first11=Derk |date=2020-01 |title=The Need of Industry to Go FAIR |url=https://direct.mit.edu/dint/article/2/1-2/276-284/10011 |journal=Data Intelligence |language=en |volume=2 |issue=1-2 |pages=276–284 |doi=10.1162/dint_a_00050 |issn=2641-435X}}</ref> Of course, all animal feed testing labs can benefit from software systems that generate FAIRer data. For example, FAIR-driven, internationally accepted vocabulary and data descriptors for mycotoxin contamination data can be used in research and laboratory software, making that data more interoperable and reusable.<ref name=":1">{{Cite journal |last=Mesfin |first=Addisalem |last2=Lachat |first2=Carl |last3=Vidal |first3=Arnau |last4=Croubels |first4=Siska |last5=Haesaert |first5=Geert |last6=Ndemera |first6=Melody |last7=Okoth |first7=Sheila |last8=Belachew |first8=Tefera |last9=Boevre |first9=Marthe De |last10=De Saeger |first10=Sarah |last11=Matumba |first11=Limbikani |date=2022-02 |title=Essential descriptors for mycotoxin contamination data in food and feed |url=https://linkinghub.elsevier.com/retrieve/pii/S0963996921007833 |journal=Food Research International |language=en |volume=152 |pages=110883 |doi=10.1016/j.foodres.2021.110883}}</ref> This leads into...


*'''Support standardized and controlled vocabularies''': By extension, this gets into the matter of improved interoperability of feed testing results from different laboratories, particularly government labs in different jurisdictions responsible for monitoring contaminates in animal feed.<ref name="AAFCOSACStrat22">{{cite web |url=https://www.aafco.org/wp-content/uploads/2023/07/SAC_Strategic_Plan_2023-2025.pdf |format=PDF |title=Strategic Plan 2023-2025 - Objective 3.2 - Promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems |author=The Association of American Feed Control Officials, Strategic Affairs Committee |publisher=AAFCO |pages=10–15 |date=16 November 2022 |accessdate=22 May 2024}}</ref> The AAFCO Strategic Affairs Committee (SAC) highlights this in their Strategic Plan for 2023–2025, stating that in order to "promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems," the different LIMS used across various states demand a more integrated IT environment where "comparable results from different labs" can effectively be made.<ref name="AAFCOSACStrat22" /> As of 2024, a standardized, internationally recognized controlled vocabulary for animal feed isn't fully apparent. However, efforts such as the AAFCO Ingredient Definitions Committee (with their results published in the AAFCO ''OP'')<ref name="AAFCOIDC">{{cite web |url=https://www.aafco.org/about/committees/ingredient-definitions/ |title=Ingredient Definitions Committee ||publisher=Association of American Feed Control Officials |accessdate=25 May 2024}}</ref>, FEED<ref>{{Cite journal |last=Wall |first=Christine E. |last2=Vinyard |first2=Christopher J. |last3=Williams |first3=Susan H. |last4=Gapeyev |first4=Vladimir |last5=Liu |first5=Xianhua |last6=Lapp |first6=Hilmar |last7=German |first7=Rebecca Z. |date=2011-08 |title=Overview of FEED, the Feeding Experiments End-user Database |url=https://academic.oup.com/icb/article-lookup/doi/10.1093/icb/icr047 |journal=Integrative and Comparative Biology |language=en |volume=51 |issue=2 |pages=215–223 |doi=10.1093/icb/icr047 |issn=1557-7023 |pmc=PMC3135827 |pmid=21700574}}</ref>, Feedipedia<ref>{{Cite web |last=INRAE CIRAD AFZ and FAO |date=2022 |title=Feedipedia: An on-line encyclopedia of animal feeds |work=Feedipedia - Animal Feed Resources Information System |url=https://www.feedipedia.org/content/about-feedipedia |accessdate=25 May 2024}}</ref>, FoodOn<ref>{{Cite journal |last=Dooley |first=Damion M. |last2=Griffiths |first2=Emma J. |last3=Gosal |first3=Gurinder S. |last4=Buttigieg |first4=Pier L. |last5=Hoehndorf |first5=Robert |last6=Lange |first6=Matthew C. |last7=Schriml |first7=Lynn M. |last8=Brinkman |first8=Fiona S. L. |last9=Hsiao |first9=William W. L. |date=2018-12-18 |title=FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration |url=https://www.nature.com/articles/s41538-018-0032-6 |journal=npj Science of Food |language=en |volume=2 |issue=1 |pages=23 |doi=10.1038/s41538-018-0032-6 |issn=2396-8370 |pmc=PMC6550238 |pmid=31304272}}</ref>, and MYTOX-SOUTH<ref name=":1" /> have made inroads into the area of developing or extending controlled vocabularies that apply to feed testing, and a LIMS vendor that taps into one or more these works arguably has a leg up on vendors that do not.
*'''Support standardized and controlled vocabularies''': By extension, this gets into the matter of improved interoperability of feed testing results from different laboratories, particularly government labs in different jurisdictions responsible for monitoring contaminates in animal feed.<ref name="AAFCOSACStrat22">{{cite web |url=https://www.aafco.org/wp-content/uploads/2023/07/SAC_Strategic_Plan_2023-2025.pdf |format=PDF |title=Strategic Plan 2023-2025 - Objective 3.2 - Promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems |author=The Association of American Feed Control Officials, Strategic Affairs Committee |publisher=AAFCO |pages=10–15 |date=16 November 2022 |accessdate=28 May 2024}}</ref> The AAFCO Strategic Affairs Committee (SAC) highlights this in their Strategic Plan for 2023–2025, stating that in order to "promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems," the different LIMS used across various states demand a more integrated IT environment where "comparable results from different labs" can effectively be made.<ref name="AAFCOSACStrat22" /> As of 2024, a standardized, internationally recognized controlled vocabulary for animal feed isn't fully apparent. However, efforts such as the AAFCO Ingredient Definitions Committee (with their results published in the AAFCO ''OP'')<ref name="AAFCOIDC">{{cite web |url=https://www.aafco.org/about/committees/ingredient-definitions/ |title=Ingredient Definitions Committee ||publisher=Association of American Feed Control Officials |accessdate=28 May 2024}}</ref>, FEED<ref>{{Cite journal |last=Wall |first=Christine E. |last2=Vinyard |first2=Christopher J. |last3=Williams |first3=Susan H. |last4=Gapeyev |first4=Vladimir |last5=Liu |first5=Xianhua |last6=Lapp |first6=Hilmar |last7=German |first7=Rebecca Z. |date=2011-08 |title=Overview of FEED, the Feeding Experiments End-user Database |url=https://academic.oup.com/icb/article-lookup/doi/10.1093/icb/icr047 |journal=Integrative and Comparative Biology |language=en |volume=51 |issue=2 |pages=215–223 |doi=10.1093/icb/icr047 |issn=1557-7023 |pmc=PMC3135827 |pmid=21700574}}</ref>, Feedipedia<ref>{{Cite web |last=INRAE CIRAD AFZ and FAO |date=2022 |title=Feedipedia: An on-line encyclopedia of animal feeds |work=Feedipedia - Animal Feed Resources Information System |url=https://www.feedipedia.org/content/about-feedipedia |accessdate=28 May 2024}}</ref>, FoodOn<ref>{{Cite journal |last=Dooley |first=Damion M. |last2=Griffiths |first2=Emma J. |last3=Gosal |first3=Gurinder S. |last4=Buttigieg |first4=Pier L. |last5=Hoehndorf |first5=Robert |last6=Lange |first6=Matthew C. |last7=Schriml |first7=Lynn M. |last8=Brinkman |first8=Fiona S. L. |last9=Hsiao |first9=William W. L. |date=2018-12-18 |title=FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration |url=https://www.nature.com/articles/s41538-018-0032-6 |journal=npj Science of Food |language=en |volume=2 |issue=1 |pages=23 |doi=10.1038/s41538-018-0032-6 |issn=2396-8370 |pmc=PMC6550238 |pmid=31304272}}</ref>, and MYTOX-SOUTH<ref name=":1" /> have made inroads into the area of developing or extending controlled vocabularies that apply to feed testing, and a LIMS vendor that taps into one or more these works arguably has a leg up on vendors that do not.


*'''Provide tools that support [[quality management system]] (QMS) initiatives''': In the same AAFCO-SAC Strategic Plan is the recognition of the importance of a QMS to the feed testing lab, in particular in regards to how it should be integrated with laboratory technology such as LIMS and the workflows the LIMS can improve.<ref name="AAFCOSACStrat22" /> As such, a LIMS developed with feed testing in mind will ideally have a variety of tools and functionality that help the lab better achieve its QMS goals. At the farthest end of the scale could be a feed testing LIMS that essentially provides the full set of functionality of an electronic QMS so as to limit data duplication and extra integration considerations that come with using multiple electronic systems. This includes the LIMS providing document management, training management, equipment and maintenance management, workflow and method management, quality control and assessment tools, out-of-specification and incident management, batch management, qualification management, and other functionality.<ref name="FAOTheFeed13" /><ref name="TrouwRole20" /><ref name="AAFCOSACStrat22" /> Most of this functionality is listed in the base LIMS requirements above, but the combination of them all better supports the QMS needs of a feed testing lab compared to a system that only provides a few of those functionalities.
*'''Provide tools that support [[quality management system]] (QMS) initiatives''': In the same AAFCO-SAC Strategic Plan is the recognition of the importance of a QMS to the feed testing lab, in particular in regards to how it should be integrated with laboratory technology such as LIMS and the workflows the LIMS can improve.<ref name="AAFCOSACStrat22" /> As such, a LIMS developed with feed testing in mind will ideally have a variety of tools and functionality that help the lab better achieve its QMS goals. At the farthest end of the scale could be a feed testing LIMS that essentially provides the full set of functionality of an electronic QMS so as to limit data duplication and extra integration considerations that come with using multiple electronic systems. This includes the LIMS providing document management, training management, equipment and maintenance management, workflow and method management, quality control and assessment tools, out-of-specification and incident management, batch management, qualification management, and other functionality.<ref name="FAOTheFeed13" /><ref name="TrouwRole20" /><ref name="AAFCOSACStrat22" /> Most of this functionality is listed in the base LIMS requirements above, but the combination of them all better supports the QMS needs of a feed testing lab compared to a system that only provides a few of those functionalities.

Revision as of 16:22, 28 May 2024

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Title: What are the key elements of a LIMS for animal feed testing?

Author for citation: Shawn E. Douglas

License for content: Creative Commons Attribution-ShareAlike 4.0 International

Publication date: May 2024

Introduction

Safe, nutritional food is important all across the food chain, including for those animals we may eventually consume. As such, quality is a significant concept in feed-based organizations. Quality can be measured in a number of ways (e.g., is the feed nutritionally balanced and largely free of heavy metals?), but undoubtedly the laboratory plays a vital role in these efforts. With regulations tightening and demands for safer food and feed increasing, these labs find themselves needing to put a greater emphasis on traceability of produced feeds and their raw ingredients, necessitating software-based solutions like the laboratory information management system (LIMS) which can improve traceability.

This brief topical article will make a cursory examination of feed testing as found within three major contexts: production, R&D, and public health. A core set of functionality found in a LIMS developed for the industry will be described, as well as specialty functionality that LIMS developers may or may not address in their solutions.

Note: Any citation leading to a software vendor's site is not to be considered a recommendation for that vendor. The citation should however still stand as a representational example of what vendors are implementing in their systems.

Feed testing laboratories, their roles, and information management

A feed testing laboratory can operate within a number of different production, research and development (R&D; academic and industry), and public health contexts. They can[1]:

  • act as a third-party consultant, interpreting analytical data;
  • provide research and development support for new and revised formulations;
  • provide analytical support for nutrition and contaminant determinations;
  • provide development support for analytical methods;
  • ensure quality to specifications, accreditor standards, and regulations;
  • develop informative databases and data libraries for researchers;
  • manage in-house and remote sample collection, labeling, and registration, including on farms; and
  • report accurate and timely results to stakeholders, including those responsible for monitoring public health.

This wide variety of roles further highlights the already obvious cross-disciplinary nature of analyzing animal feed ingredients and products, and interpreting the resulting data. The human biological sciences, veterinary sciences, environmental sciences, chemistry, microbiology, radiochemistry, botany, epidemiology, and more may be involved within a given animal feed analysis laboratory.[2][3][4] Given this significant cross-disciplinarity, it's arguably more challenging for software developers to create laboratory informatics solutions like a laboratory information management system (LIMS) that have the breadth to cover the production, R&D, and public health contexts of animal feed testing. In fact, an industry lab performing quality control (QC) work for a company will likely have zero interest in public health-driven reporting functionality (e.g., as per the Food and Drug Administration's Animal Food Regulatory Program Standards [AFRPS][5]), and a LIMS that focuses on QC workflows may be more highly desirable.

That said, this Q&A article will examine LIMS functionality that broadly addresses the needs of all three contexts for animal feed analyses. Understand that the LIMS solution your feed lab may be looking for may not require some of the functionality addressed here, particularly in the specialty LIMS requirements section. But also understand the broader context of feed testing and how it highlights some of the challenges of finding a feed testing LIMS that is just right for your lab. This search may be further complicated by other informatics options. In a few cases, standalone formulation and enterprise resource planning (ERP) solutions for the feed industry exist.[6] Some LIMS may have these sorts of features built-in already, so the choice of whether or not to adopt a LIMS in conjunction with other standalone solutions or find a LIMS that incorporates those formulation and ERP functions will have to be carefully considered. Also worth mentioning are systems such as the electronic laboratory notebook (ELN), laboratory execution system (LES), and manufacturing execution system (MES), which play a role in feed-based R&D and production contexts. Even here we find some cross-compatibility with LIMS functionality, and the question of integrating multiple systems or reducing IT and personnel overhead with a greater one-size-fits-all solution arises again. Ultimately it will be up to the organization to determine its needs and find an approach that works for them. Going forward, we'll focus on the LIMS, however.

Base LIMS requirements for animal feed testing

Through its workflow management and traceability mechanisms, thoughtful implementation of a LIMS by the feed-based organization can provide a number of benefits to process management, stakeholder interactions, traceability of raw ingredients, and much more.[3][7][8] Given the importance of ISO/IEC 17025's concepts to feed testing laboratories (whether accredited to the standard or not)[9], a feed testing LIMS that provides functionality to assist with ISO/IEC 17025 criteria (as found in Appendix A of the Association of Public Health Laboratories' [APHL's] best practices guide for food and feed testing[9]) provides even more benefits to the feed-based organization.[10]

What follows is a list of system functionality important to most any feed testing laboratory, with a majority of that functionality—including supportive ISO/IEC 17025 functionality[10]—found in many vendor software solutions.[1][3][5][7][11][12][13][14][15][16][17]

Test, sample and result management

  • Sample log-in and management, with support for unique IDs
  • Sample batching
  • Barcode and RFID support
  • End-to-end sample and inventory tracking, through to reporting and disposition
  • Pre-defined and configurable industry-specific test and method management, including for bacteria (i.e., microbiology), heavy metals (i.e., chemistry), radionuclides (i.e., radiochemistry), and other substances such as micronutrients
  • Pre-defined and configurable industry-specific workflows, including for production, R&D, and public health contexts
  • Configurable screens and data fields
  • Specification management
  • Test, sampling, instrument, etc. scheduling and assignment
  • Test requesting
  • Data import and export
  • Raw data management
  • Robust query tools
  • Analytical tools, including data visualization, statistical analysis, and data mining tools
  • Document and image management
  • ELN support or functionality for R&D efforts
  • Version control
  • Project and experiment management
  • Method and protocol management
  • Investigation management
  • Multi-facility and -sampling site management
  • Storage management and monitoring

Quality, security, and compliance

  • Quality assurance / quality control mechanisms
  • Mechanisms supporting compliance with ISO/IEC 17025, hazard analysis and critical control points (HACCP), AFRPS, and the Association of American Feed Control Officials (AAFCO) Official Publication (OP)
  • Result, method, protocol, batch, and material validation, review, and release
  • Data validation
  • Trend and control charting for statistical analysis and measurement of uncertainty
  • User qualification, performance, and training management
  • Audit trails and chain of custody support
  • Configurable and granular role-based security
  • Configurable system access and use (i.e., authentication requirements, account usage rules, account locking, etc.)
  • Electronic signature support
  • Data encryption and secure communication protocols
  • Archiving and retention of data and information
  • Configurable data backups
  • Status updates and alerts
  • Environmental monitoring support
  • Incident and non-conformance notification, tracking, and management

Operations management and reporting

  • Configurable dashboards for monitoring, by product, process, facility, etc.
  • Customizable rich-text reporting, with multiple output formats that support state and local sample and field inspection reporting requirements from, e.g., AFRPS
  • Custom and industry-specific reporting, including certificates of analysis (CoAs)
  • Industry-compliant labeling
  • Email integration and other communication support for internal and external stakeholders
  • Instrument interfacing and data management, particularly for near-infrared spectroscopy (NIRS) instruments
  • Third-party software interfacing (e.g., LES, scientific data management system [SDMS], other databases)
  • Data import, export, and archiving
  • Instrument and equipment management, including calibration and maintenance tracking
  • Inventory and material management, including raw materials
  • Supplier/vendor/customer management
  • Flexible but secure client portal for pre-registering samples, printing labels, and viewing results
  • Integrated (or online) system help

Specialty LIMS requirements

To be sure, a LIMS designed for animal feed testing must have pre-loaded and configurable tests and methods unique to the industry (mentioned above), making workflow management simpler for these labs, whether affiliated with production, R&D, or public health contexts. (Though, as mentioned prior, finding a LIMS that meets all the test and method needs of these three contexts may be more challenging.) However, there are other aspects of organizations testing animal feed that, with a few exceptions (e.g., the closely related food and beverage industry[18]), are somewhat unique to their efforts. What follows are some of the specialty considerations LIMS developers may take with their feed testing LIMS.

  • Manage recipes, as well as master and batch production records: This functionality is more in the domain of the LES or MES. However, a few LIMS vendors may extend their LIMS to provide these formulation features. Given that the HACCP rules, in particular, mandate the creation and management of batch production and in-process manufacturing material records, some feed production facilities testing batches and manufacturing materials may appreciate support for formula optimization, ingredient management, batch management, and more.[19][20]
  • Support molecular biology and nutritional testing workflows: Molecular biology and nutritional testing are important tools in the research of improving animal feeds and their ingredients, as well as managing their quality. However, not all LIMS are ideally equipped to handle related workflow aspects such as nucleic acid extraction, protein and cell isolation, gene expression, and genotyping.[21] A lab using such techniques may have to do extra due diligence in finding a feed testing LIMS that also supports these workflow tasks.
  • Provide a web-based portal for internal and external stakeholders: Whether producing feed or conducting surveillance testing of feed, many stakeholders come into play, and giving them secure, ready access to aspects of the workflow (e.g., from pre-registering samples to checking final results) is useful. A secure web-based portal that allows authorized stakeholders role-based access to sections of the LIMS can further improve workflow efficiency and communication patterns for the feed testing lab.
  • Develop and/or support regulatory-driven safety plans: The HACCP quality control method is recommended or required for feed mills and other producers, and the integration of HACCP methods into the labs testing those feeds may also have value. (HACCP is also an influence on ISO/IEC 17025, which is a major accreditation standard for feed testing laboratories.)[22] Some LIMS vendors have recognized this and integrated support for building HACCP steps into laboratory workflows. In some cases this may be as sophisticated as allowing the user to diagram HACCP in their lab or facility as a visualization tool. However, even if HACCP diagraming isn't integrated into a LIMS and its workflow tools, the LIMS should at least recognize HACCP-related testing as a specific test category, with its own requirements, including support for critical control point (CCP) specifications and limits.
  • Provide mechanisms to make data and information more FAIR: Like many other disciplines, modern academic and industrial research of feed ingredient selection, feed formulation, and feed production is plagued by interdisciplinary research data and information (i.e., objects) "in a broad range of [heterogeneous] information formats [that] involve inconsistent vocabulary and difficult‐to‐define concepts."[4] This makes attractive data discovery options[4] such as text mining, cluster searching, and artificial intelligence (AI) methods less effective, in turn hampering innovation, discovery, and improved health outcomes. As such, research labs of all sorts are increasingly turning to the FAIR principles, which encourage processes that make research objects more findable, accessible, interoperable, and reusable.[23] A handful of software developers have become more attuned to this demand and have developed or modified their systems to produce research objects that are produced using metadata- and semantic-driven technologies and frameworks.[24] Producing FAIR data is more important to the academic research and public health contexts of feed testing, but can still be useful to other industrial contexts, as having interoperable and reusable data in industry can lead to greater innovation and process improvement.[25] Of course, all animal feed testing labs can benefit from software systems that generate FAIRer data. For example, FAIR-driven, internationally accepted vocabulary and data descriptors for mycotoxin contamination data can be used in research and laboratory software, making that data more interoperable and reusable.[26] This leads into...
  • Support standardized and controlled vocabularies: By extension, this gets into the matter of improved interoperability of feed testing results from different laboratories, particularly government labs in different jurisdictions responsible for monitoring contaminates in animal feed.[27] The AAFCO Strategic Affairs Committee (SAC) highlights this in their Strategic Plan for 2023–2025, stating that in order to "promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems," the different LIMS used across various states demand a more integrated IT environment where "comparable results from different labs" can effectively be made.[27] As of 2024, a standardized, internationally recognized controlled vocabulary for animal feed isn't fully apparent. However, efforts such as the AAFCO Ingredient Definitions Committee (with their results published in the AAFCO OP)[28], FEED[29], Feedipedia[30], FoodOn[31], and MYTOX-SOUTH[26] have made inroads into the area of developing or extending controlled vocabularies that apply to feed testing, and a LIMS vendor that taps into one or more these works arguably has a leg up on vendors that do not.
  • Provide tools that support quality management system (QMS) initiatives: In the same AAFCO-SAC Strategic Plan is the recognition of the importance of a QMS to the feed testing lab, in particular in regards to how it should be integrated with laboratory technology such as LIMS and the workflows the LIMS can improve.[27] As such, a LIMS developed with feed testing in mind will ideally have a variety of tools and functionality that help the lab better achieve its QMS goals. At the farthest end of the scale could be a feed testing LIMS that essentially provides the full set of functionality of an electronic QMS so as to limit data duplication and extra integration considerations that come with using multiple electronic systems. This includes the LIMS providing document management, training management, equipment and maintenance management, workflow and method management, quality control and assessment tools, out-of-specification and incident management, batch management, qualification management, and other functionality.[7][17][27] Most of this functionality is listed in the base LIMS requirements above, but the combination of them all better supports the QMS needs of a feed testing lab compared to a system that only provides a few of those functionalities.

Conclusion

Animal feed-related entities in the production, R&D, or public health contexts have many incentives to produce, develop, and monitor feed and ingredients that are safe for not only direct animal consumption but also for indirect human consumption. This safety is in large part ensured by the analytical testing of feed and raw ingredients. As regulations have tightened and demand for safer products has increased, paper-based systems have in part given way to electronic systems such as LIMS, ELN, LES, MES, and even the electronic QMS. The LIMS in particular is of high importance to laboratories conducting feed testing, requiring functionality that meets the essential and specialty needs of the industry. From industry-specific tests, methods, and workflows to clear and standardized reporting, a well-designed feed testing LIMS will address the essentials in most cases. However, specialty functionality such as support for molecular biology and nutritional testing workflows, HACCP planning, and full-featured quality management may not be found in every solution. Feed-related entities seeking such a LIMS would be wise to take a thoughtful approach to choosing a feed testing LIMS given the complexities of these three contexts, especially while recognizing the distinct multi-disciplinarity of the industry and its analytical obligations to quality.

References

  1. 1.0 1.1 Ward, R. (27 February 2024). "Obtaining value from a feed/forage lab engagement" (PDF). Florida Ruminant Nutrition Symposium. https://animal.ifas.ufl.edu/media/animalifasufledu/dairy-website/ruminant-nutrition-symposium/archives/12.-WardRNS2024.pdf. Retrieved 28 May 2024. 
  2. Schnepf, Anne; Hille, Katja; van Mark, Gesine; Winkelmann, Tristan; Remm, Karen; Kunze, Katrin; Velleuer, Reinhard; Kreienbrock, Lothar (6 February 2024). "Basis for a One Health Approach—Inventory of Routine Data Collections on Zoonotic Diseases in Lower Saxony, Germany" (in en). Zoonotic Diseases 4 (1): 57–73. doi:10.3390/zoonoticdis4010007. ISSN 2813-0227. https://www.mdpi.com/2813-0227/4/1/7. 
  3. 3.0 3.1 3.2 Partnership for Food Protection Laboratory Science Workgroup (December 2018). "Human and Animal Food Testing Laboratories Best Practices Manual" (PDF). https://www.aphl.org/programs/food_safety/APHL%20Documents/LBPM_Dec2018.pdf. Retrieved 28 May 2024. 
  4. 4.0 4.1 4.2 Wood, Hannah; O'Connor, Annette; Sargeant, Jan; Glanville, Julie (1 December 2018). "Information retrieval for systematic reviews in food and feed topics: A narrative review" (in en). Research Synthesis Methods 9 (4): 527–539. doi:10.1002/jrsm.1289. ISSN 1759-2879. https://onlinelibrary.wiley.com/doi/10.1002/jrsm.1289. 
  5. 5.0 5.1 Office of Regulatory Affairs (2023). "Animal Food Regulatory Program Standards" (PDF). U.S. Food and Drug Administration. https://www.fda.gov/media/136030/download?attachment. Retrieved 28 May 2024. 
  6. "FormatSolutions: At the Forefront of Feed". Format Solutions, Inc. https://formatsolutions.com/. Retrieved 28 May 2024. 
  7. 7.0 7.1 7.2 deJonge, L.H.; Jackson, F.S.; Makkar, H.P.S. (2013). "The Feed Analysis Laboratory: Establishment and Quality Control" (PDF). Food and Agriculture Organization of the United Nations. https://www.fao.org/4/i3535e/i3535e.pdf. Retrieved 28 May 2024. 
  8. Thurston, C. (28 May 2009). "Food Safety: The Value of LIMS in This Regulated Environment". American Laboratory. https://www.americanlaboratory.com/914-Application-Notes/654-Food-Safety-The-Value-of-LIMS-in-This-Regulated-Environment/. Retrieved 28 May 2024. 
  9. 9.0 9.1 Association of Public Health Laboratories (June 2017). "Best Practices for Submission of Actionable Food and Feed Testing Data Generated in State and Local Laboratories" (PDF). https://www.aphl.org/aboutAPHL/publications/Documents/FS-2017Jun-Best-Practices-Food-Feed-Data.pdf. Retrieved 28 May 2024. 
  10. 10.0 10.1 Douglas, S.E. (January 2023). "LIMS Q&A:What are the key elements of a LIMS to better comply with ISO/IEC 17025?". LIMSwiki. https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_to_better_comply_with_ISO/IEC_17025%3F. Retrieved 28 May 2024. 
  11. "ProLabQ - The LIMS system for your production laboratory". Open-Co S.r.l. https://www.openco.it/en/production-laboratory/. Retrieved 28 May 2024. 
  12. "USAPlants" (PDF). NATC. 1 May 2019. https://tnatc.org/assets/downloads/USAPlants-2019-05-01.pdf. Retrieved 28 May 2024. 
  13. "Agriculture, Seed and Food Laboratories". Mci IT Pty. Ltd. https://www.mci-it.co.za/agricultural-seed-and-food. Retrieved 28 May 2024. 
  14. "LIMS for Agriculture and Farming". Labworks, LLC. https://labworks.com/lims-industries/agriculture/. Retrieved 28 May 2024. 
  15. "LIMS for Agriculture Testing Environments". QBench, Inc. https://qbench.com/qbench-lims-agriculture-testing-labs. Retrieved 28 May 2024. 
  16. "BESTMIX Quality Control". Adifo NV. https://www.adifo.com/en/brands/bestmix-quality-control. Retrieved 28 May 2024. 
  17. 17.0 17.1 "Role of Quality Control Laboratories in Animal Feed Production". Trouw Nutrition. 23 June 2020. https://www.trouwnutritionasiapacific.com/en-in/7.0-tn-In-news-and-events/highlighted-stories/2020/role-of-quality-control-laboratories-in-animal-feed-production/. Retrieved 28 May 2024. 
  18. Douglas, S.E. (September 2022). "LIMS Q&A:What are the key elements of a LIMS for food and beverage testing?". LIMSwiki. https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_for_food_and_beverage_testing%3F. Retrieved 28 May 2024. 
  19. "Formulation software". FormatSolutions, Inc. https://formatsolutions.com/products/formulation-software. Retrieved 28 May 2024. 
  20. "BESTMIX Recipe Management (Feed)". Adifo NV. https://www.adifo.com/en/brands/bestmix-for-feed-and-ration. Retrieved 28 May 2024. 
  21. Haq, Zulfqar ul; Saleem, Afnan; Khan, Azmat Alam; Dar, Mashooq Ahmad; Ganaie, Abdul Majeed; Beigh, Yasir Afzal; Hamadani, Heena; Ahmad, Syed Mudasir (1 September 2022). "Nutrigenomics in livestock sector and its human-animal interface-a review" (in en). Veterinary and Animal Science 17: 100262. doi:10.1016/j.vas.2022.100262. https://linkinghub.elsevier.com/retrieve/pii/S2451943X22000333. 
  22. Roembke, J. (20 February 2017). "How testing factors into feed mill HACCP plans". FeedStrategy. https://www.feedstrategy.com/animal-feed-manufacturing/feed-mill-management/article/15439075/how-testing-factors-into-feed-mill-haccp-plans. Retrieved 28 May 2024. 
  23. Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; Axton, Myles; Baak, Arie; Blomberg, Niklas; Boiten, Jan-Willem et al. (15 March 2016). "The FAIR Guiding Principles for scientific data management and stewardship" (in en). Scientific Data 3 (1): 160018. doi:10.1038/sdata.2016.18. ISSN 2052-4463. https://www.nature.com/articles/sdata201618. 
  24. Douglas, S.E. (May 2024). "LIMS Q&A:Why are the FAIR data principles increasingly important to research laboratories and their software?". LIMSwiki. https://www.limswiki.org/index.php/LIMS_Q%26A:Why_are_the_FAIR_data_principles_increasingly_important_to_research_laboratories_and_their_software%3F. Retrieved 28 May 2024. 
  25. van Vlijmen, Herman; Mons, Albert; Waalkens, Arne; Franke, Wouter; Baak, Arie; Ruiter, Gerbrand; Kirkpatrick, Christine; da Silva Santos, Luiz Olavo Bonino et al. (1 January 2020). "The Need of Industry to Go FAIR" (in en). Data Intelligence 2 (1-2): 276–284. doi:10.1162/dint_a_00050. ISSN 2641-435X. https://direct.mit.edu/dint/article/2/1-2/276-284/10011. 
  26. 26.0 26.1 Mesfin, Addisalem; Lachat, Carl; Vidal, Arnau; Croubels, Siska; Haesaert, Geert; Ndemera, Melody; Okoth, Sheila; Belachew, Tefera et al. (1 February 2022). "Essential descriptors for mycotoxin contamination data in food and feed" (in en). Food Research International 152: 110883. doi:10.1016/j.foodres.2021.110883. https://linkinghub.elsevier.com/retrieve/pii/S0963996921007833. 
  27. 27.0 27.1 27.2 27.3 The Association of American Feed Control Officials, Strategic Affairs Committee (16 November 2022). "Strategic Plan 2023-2025 - Objective 3.2 - Promote and integrate laboratory technology, methods, quality systems, and collaboration in support of animal food safety systems" (PDF). AAFCO. pp. 10–15. https://www.aafco.org/wp-content/uploads/2023/07/SAC_Strategic_Plan_2023-2025.pdf. Retrieved 28 May 2024. 
  28. "Ingredient Definitions Committee". Association of American Feed Control Officials. https://www.aafco.org/about/committees/ingredient-definitions/. Retrieved 28 May 2024. 
  29. Wall, Christine E.; Vinyard, Christopher J.; Williams, Susan H.; Gapeyev, Vladimir; Liu, Xianhua; Lapp, Hilmar; German, Rebecca Z. (1 August 2011). "Overview of FEED, the Feeding Experiments End-user Database" (in en). Integrative and Comparative Biology 51 (2): 215–223. doi:10.1093/icb/icr047. ISSN 1557-7023. PMC PMC3135827. PMID 21700574. https://academic.oup.com/icb/article-lookup/doi/10.1093/icb/icr047. 
  30. INRAE CIRAD AFZ and FAO (2022). "Feedipedia: An on-line encyclopedia of animal feeds". Feedipedia - Animal Feed Resources Information System. https://www.feedipedia.org/content/about-feedipedia. Retrieved 28 May 2024. 
  31. Dooley, Damion M.; Griffiths, Emma J.; Gosal, Gurinder S.; Buttigieg, Pier L.; Hoehndorf, Robert; Lange, Matthew C.; Schriml, Lynn M.; Brinkman, Fiona S. L. et al. (18 December 2018). "FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration" (in en). npj Science of Food 2 (1): 23. doi:10.1038/s41538-018-0032-6. ISSN 2396-8370. PMC PMC6550238. PMID 31304272. https://www.nature.com/articles/s41538-018-0032-6.