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Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels
The poultry industry in the United States has traditionally implemented non-chemical and chemical interventions against spp. and spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiologi...
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Published in: | Foods 2022-03, Vol.11 (6), p.775 |
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description | The poultry industry in the United States has traditionally implemented non-chemical and chemical interventions against
spp. and
spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiological testing methods for
spp. and
spp. prevalence as well as quantification of indicator organisms, such as aerobic plate counts (APC), to demonstrate efficacy. The current study evaluated the loads of both indicators and pathogens in a commercial chicken processing facility, comparing the "normal chemical", with all chemical interventions turned-on, at typical chemical concentrations set by the processing plant versus low-chemical process ("reduced chemical"), where all interventions were turned off or reduced to the minimum concentrations considered in the facility's HACCP system. Enumeration and prevalence of
spp. and
spp. as well as indicator organisms (APC and Enterobacteriaceae-EB) enumeration were evaluated to compare both treatments throughout a 25-month sampling period. Ten locations were selected in the current bio-mapping study, including live receiving, rehanger, post eviscerator, post cropper, post neck breaker, post IOBW #1, post IOBW #2, prechilling, post chilling, and parts (wings). Statistical process control parameters for each location and processing schemes were developed for each pathogen and indicator evaluated. Despite demonstrating significant statistical differences between the normal and naked processes in
spp. counts ("normal" significantly lower counts than the "reduced" at each location except for post-eviscerator and post-cropper locations), the prevalence of
spp. after chilling is comparable on both treatments (~10%), whereas for
spp. counts, only at the parts' location was there significant statistical difference between the "normal chemical" and the "reduced chemical". Therefore, not all chemical intervention locations show an overall impact on
spp. or
spp., and certain interventions can be turned off to achieve the same or better microbial performance if strategic intervention locations are enhanced. |
doi_str_mv | 10.3390/foods11060775 |
format | article |
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spp. and
spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiological testing methods for
spp. and
spp. prevalence as well as quantification of indicator organisms, such as aerobic plate counts (APC), to demonstrate efficacy. The current study evaluated the loads of both indicators and pathogens in a commercial chicken processing facility, comparing the "normal chemical", with all chemical interventions turned-on, at typical chemical concentrations set by the processing plant versus low-chemical process ("reduced chemical"), where all interventions were turned off or reduced to the minimum concentrations considered in the facility's HACCP system. Enumeration and prevalence of
spp. and
spp. as well as indicator organisms (APC and Enterobacteriaceae-EB) enumeration were evaluated to compare both treatments throughout a 25-month sampling period. Ten locations were selected in the current bio-mapping study, including live receiving, rehanger, post eviscerator, post cropper, post neck breaker, post IOBW #1, post IOBW #2, prechilling, post chilling, and parts (wings). Statistical process control parameters for each location and processing schemes were developed for each pathogen and indicator evaluated. Despite demonstrating significant statistical differences between the normal and naked processes in
spp. counts ("normal" significantly lower counts than the "reduced" at each location except for post-eviscerator and post-cropper locations), the prevalence of
spp. after chilling is comparable on both treatments (~10%), whereas for
spp. counts, only at the parts' location was there significant statistical difference between the "normal chemical" and the "reduced chemical". Therefore, not all chemical intervention locations show an overall impact on
spp. or
spp., and certain interventions can be turned off to achieve the same or better microbial performance if strategic intervention locations are enhanced.</description><identifier>ISSN: 2304-8158</identifier><identifier>EISSN: 2304-8158</identifier><identifier>DOI: 10.3390/foods11060775</identifier><identifier>PMID: 35327198</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Antiinfectives and antibacterials ; Campylobacter ; Campylobacter enumeration ; Caustic soda ; chemical interventions ; Chilling ; Chlorine ; Cooling ; Eggs ; Enumeration ; Food ; Food science ; Illnesses ; Indicator species ; Indicators ; Information processing ; Intervention ; Mapping ; Meat ; Medical laboratories ; Microorganisms ; Pathogens ; Poultry ; poultry bio-mapping ; Process control ; Process controls ; Process parameters ; Public health ; Salmonella ; Salmonella enumeration ; Sodium ; Statistical analysis ; Statistical process control</subject><ispartof>Foods, 2022-03, Vol.11 (6), p.775</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-44752814d829a674d5669454753957468a6eba03606bfec12e1fe725bfcc68c3</citedby><cites>FETCH-LOGICAL-c481t-44752814d829a674d5669454753957468a6eba03606bfec12e1fe725bfcc68c3</cites><orcidid>0000-0001-9935-8974 ; 0000-0003-2427-667X ; 0000-0002-4077-177X ; 0000-0003-1844-4980 ; 0000-0002-7897-9904</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2642440136/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2642440136?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35327198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>De Villena, Juan F</creatorcontrib><creatorcontrib>Vargas, David A</creatorcontrib><creatorcontrib>Bueno López, Rossy</creatorcontrib><creatorcontrib>Chávez-Velado, Daniela R</creatorcontrib><creatorcontrib>Casas, Diego E</creatorcontrib><creatorcontrib>Jiménez, Reagan L</creatorcontrib><creatorcontrib>Sanchez-Plata, Marcos X</creatorcontrib><title>Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels</title><title>Foods</title><addtitle>Foods</addtitle><description>The poultry industry in the United States has traditionally implemented non-chemical and chemical interventions against
spp. and
spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiological testing methods for
spp. and
spp. prevalence as well as quantification of indicator organisms, such as aerobic plate counts (APC), to demonstrate efficacy. The current study evaluated the loads of both indicators and pathogens in a commercial chicken processing facility, comparing the "normal chemical", with all chemical interventions turned-on, at typical chemical concentrations set by the processing plant versus low-chemical process ("reduced chemical"), where all interventions were turned off or reduced to the minimum concentrations considered in the facility's HACCP system. Enumeration and prevalence of
spp. and
spp. as well as indicator organisms (APC and Enterobacteriaceae-EB) enumeration were evaluated to compare both treatments throughout a 25-month sampling period. Ten locations were selected in the current bio-mapping study, including live receiving, rehanger, post eviscerator, post cropper, post neck breaker, post IOBW #1, post IOBW #2, prechilling, post chilling, and parts (wings). Statistical process control parameters for each location and processing schemes were developed for each pathogen and indicator evaluated. Despite demonstrating significant statistical differences between the normal and naked processes in
spp. counts ("normal" significantly lower counts than the "reduced" at each location except for post-eviscerator and post-cropper locations), the prevalence of
spp. after chilling is comparable on both treatments (~10%), whereas for
spp. counts, only at the parts' location was there significant statistical difference between the "normal chemical" and the "reduced chemical". Therefore, not all chemical intervention locations show an overall impact on
spp. or
spp., and certain interventions can be turned off to achieve the same or better microbial performance if strategic intervention locations are enhanced.</description><subject>Antiinfectives and antibacterials</subject><subject>Campylobacter</subject><subject>Campylobacter enumeration</subject><subject>Caustic soda</subject><subject>chemical interventions</subject><subject>Chilling</subject><subject>Chlorine</subject><subject>Cooling</subject><subject>Eggs</subject><subject>Enumeration</subject><subject>Food</subject><subject>Food science</subject><subject>Illnesses</subject><subject>Indicator species</subject><subject>Indicators</subject><subject>Information processing</subject><subject>Intervention</subject><subject>Mapping</subject><subject>Meat</subject><subject>Medical laboratories</subject><subject>Microorganisms</subject><subject>Pathogens</subject><subject>Poultry</subject><subject>poultry bio-mapping</subject><subject>Process control</subject><subject>Process controls</subject><subject>Process parameters</subject><subject>Public health</subject><subject>Salmonella</subject><subject>Salmonella enumeration</subject><subject>Sodium</subject><subject>Statistical analysis</subject><subject>Statistical process control</subject><issn>2304-8158</issn><issn>2304-8158</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1r3DAQQE1paUKaY69F0EsvTvVt6VJIlqZZ2JIcchdjWfZqsa2t5N2Q39E_XDmbhGx10TB6vNEMUxSfCb5gTOPvbQhNIgRLXFXiXXFKGealIkK9fxOfFOcpbXA-mjDF6MfihAlGK6LVafH3yofyN2y3fuzQcmy8hSnEhGBs0B1M69C5Ea0CNAn5EQFahGFw0Xro0VUMvncR3cVgXUqz4Bqs7_30iG63LsI0px78tEY3vls_KVfhAV2Okx-8jaGeLctxcnHvci7kQm7v-vSp-NBCn9z5831W3F__vF_clKvbX8vF5aq0XJGp5LwSVBHeKKpBVrwRUmoucpZpUXGpQLoaMJNY1q2zhDrSuoqKurVWKsvOiuVB2wTYmG30A8RHE8Cbp0SInYE4eds7Y6HSmgmuBWCeI8Vkrkob3VAugMyuHwfXdlcPrrG5nwj9kfT4ZfRr04W9UZpXVKss-PYsiOHPzqXJDD5Z1_cwurBLhkrOMcWY0ox-_Q_dhF0c86RmimaOMJmp8kDlQacUXfv6GYLNvDzmaHky_-VtB6_0y6qwfyBswNI</recordid><startdate>20220308</startdate><enddate>20220308</enddate><creator>De Villena, Juan F</creator><creator>Vargas, David A</creator><creator>Bueno López, Rossy</creator><creator>Chávez-Velado, Daniela R</creator><creator>Casas, Diego E</creator><creator>Jiménez, Reagan L</creator><creator>Sanchez-Plata, Marcos X</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QR</scope><scope>7T7</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9935-8974</orcidid><orcidid>https://orcid.org/0000-0003-2427-667X</orcidid><orcidid>https://orcid.org/0000-0002-4077-177X</orcidid><orcidid>https://orcid.org/0000-0003-1844-4980</orcidid><orcidid>https://orcid.org/0000-0002-7897-9904</orcidid></search><sort><creationdate>20220308</creationdate><title>Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels</title><author>De Villena, Juan F ; Vargas, David A ; Bueno López, Rossy ; Chávez-Velado, Daniela R ; Casas, Diego E ; Jiménez, Reagan L ; Sanchez-Plata, Marcos X</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-44752814d829a674d5669454753957468a6eba03606bfec12e1fe725bfcc68c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antiinfectives and antibacterials</topic><topic>Campylobacter</topic><topic>Campylobacter enumeration</topic><topic>Caustic soda</topic><topic>chemical interventions</topic><topic>Chilling</topic><topic>Chlorine</topic><topic>Cooling</topic><topic>Eggs</topic><topic>Enumeration</topic><topic>Food</topic><topic>Food science</topic><topic>Illnesses</topic><topic>Indicator species</topic><topic>Indicators</topic><topic>Information processing</topic><topic>Intervention</topic><topic>Mapping</topic><topic>Meat</topic><topic>Medical laboratories</topic><topic>Microorganisms</topic><topic>Pathogens</topic><topic>Poultry</topic><topic>poultry bio-mapping</topic><topic>Process control</topic><topic>Process controls</topic><topic>Process parameters</topic><topic>Public health</topic><topic>Salmonella</topic><topic>Salmonella enumeration</topic><topic>Sodium</topic><topic>Statistical analysis</topic><topic>Statistical process control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>De Villena, Juan F</creatorcontrib><creatorcontrib>Vargas, David A</creatorcontrib><creatorcontrib>Bueno López, Rossy</creatorcontrib><creatorcontrib>Chávez-Velado, Daniela R</creatorcontrib><creatorcontrib>Casas, Diego E</creatorcontrib><creatorcontrib>Jiménez, Reagan L</creatorcontrib><creatorcontrib>Sanchez-Plata, Marcos X</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Agriculture Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Publicly Available Content database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Foods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>De Villena, Juan F</au><au>Vargas, David A</au><au>Bueno López, Rossy</au><au>Chávez-Velado, Daniela R</au><au>Casas, Diego E</au><au>Jiménez, Reagan L</au><au>Sanchez-Plata, Marcos X</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels</atitle><jtitle>Foods</jtitle><addtitle>Foods</addtitle><date>2022-03-08</date><risdate>2022</risdate><volume>11</volume><issue>6</issue><spage>775</spage><pages>775-</pages><issn>2304-8158</issn><eissn>2304-8158</eissn><abstract>The poultry industry in the United States has traditionally implemented non-chemical and chemical interventions against
spp. and
spp. on the basis of experience and word-of-mouth information shared among poultry processors. The effects of individual interventions have been assessed with microbiological testing methods for
spp. and
spp. prevalence as well as quantification of indicator organisms, such as aerobic plate counts (APC), to demonstrate efficacy. The current study evaluated the loads of both indicators and pathogens in a commercial chicken processing facility, comparing the "normal chemical", with all chemical interventions turned-on, at typical chemical concentrations set by the processing plant versus low-chemical process ("reduced chemical"), where all interventions were turned off or reduced to the minimum concentrations considered in the facility's HACCP system. Enumeration and prevalence of
spp. and
spp. as well as indicator organisms (APC and Enterobacteriaceae-EB) enumeration were evaluated to compare both treatments throughout a 25-month sampling period. Ten locations were selected in the current bio-mapping study, including live receiving, rehanger, post eviscerator, post cropper, post neck breaker, post IOBW #1, post IOBW #2, prechilling, post chilling, and parts (wings). Statistical process control parameters for each location and processing schemes were developed for each pathogen and indicator evaluated. Despite demonstrating significant statistical differences between the normal and naked processes in
spp. counts ("normal" significantly lower counts than the "reduced" at each location except for post-eviscerator and post-cropper locations), the prevalence of
spp. after chilling is comparable on both treatments (~10%), whereas for
spp. counts, only at the parts' location was there significant statistical difference between the "normal chemical" and the "reduced chemical". Therefore, not all chemical intervention locations show an overall impact on
spp. or
spp., and certain interventions can be turned off to achieve the same or better microbial performance if strategic intervention locations are enhanced.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35327198</pmid><doi>10.3390/foods11060775</doi><orcidid>https://orcid.org/0000-0001-9935-8974</orcidid><orcidid>https://orcid.org/0000-0003-2427-667X</orcidid><orcidid>https://orcid.org/0000-0002-4077-177X</orcidid><orcidid>https://orcid.org/0000-0003-1844-4980</orcidid><orcidid>https://orcid.org/0000-0002-7897-9904</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antiinfectives and antibacterials Campylobacter Campylobacter enumeration Caustic soda chemical interventions Chilling Chlorine Cooling Eggs Enumeration Food Food science Illnesses Indicator species Indicators Information processing Intervention Mapping Meat Medical laboratories Microorganisms Pathogens Poultry poultry bio-mapping Process control Process controls Process parameters Public health Salmonella Salmonella enumeration Sodium Statistical analysis Statistical process control |
title | Bio-Mapping Indicators and Pathogen Loads in a Commercial Broiler Processing Facility Operating with High and Low Antimicrobial Intervention Levels |
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