Micah T. Black , Luis Guzman , Aftab Siddique , Katherine Sierra , Vianca Tashiguano , Laura Garner , Nicholas MacKinnon , Stanislov Sokolov , Fartash Vasefi , Jianwei Qin , Diane Chan , Insuck Baek , Kevin Chao , Moon Kim , Amit Morey
{"title":"利用多光谱荧光成像和机器学习检测鸡胴体上可见和不可见粪便污染以降低沙门氏菌风险。","authors":"Micah T. Black , Luis Guzman , Aftab Siddique , Katherine Sierra , Vianca Tashiguano , Laura Garner , Nicholas MacKinnon , Stanislov Sokolov , Fartash Vasefi , Jianwei Qin , Diane Chan , Insuck Baek , Kevin Chao , Moon Kim , Amit Morey","doi":"10.1016/j.jfp.2025.100613","DOIUrl":null,"url":null,"abstract":"<div><div><em>Salmonella</em>, mainly associated with raw poultry, remains a major food safety concern as the number of illnesses has not reduced over the past decade warranting a need for convergent, disruptive approaches. In poultry processing plants, the USDA-FSIS implements a “zero visible fecal tolerance” policy on eviscerated broiler carcasses entering the chiller as a step to reduce the pathogen from cross−contamination. The efficacy of multispectral fluorescence imaging technology to detect visible and invisible fecal matter from different sections of the gastrointestinal tract was assessed on 404 carcasses to enhance automation in processing plants. Results indicated that multispectral imaging combined with data analytics can detect fecal contamination on carcasses but cannot distinguish between fecal sources above 55.40% with a threshold of 50 on large contaminant placed sites. The most significant finding was the ability to detect fecal contamination invisible to the naked eye, and those spots were positive for <em>Salmonella</em> warranting changes in existing practices of detecting fecal matter and rinsing-off carcasses to reduce the pathogen load. To our knowledge, this is the first report to detect invisible fecal contamination on broiler carcasses. An unexpected finding of <em>Salmonella</em> on 100 postchilled carcasses, due to the abrasive action of swabs, indicates a need to improve <em>Salmonella</em> sampling methods in the poultry industry. Improvement over the existing poultry <em>Salmonella</em> sample collection method may provide a better understanding of the levels of <em>Salmonella</em> on raw poultry and aid in developing measures to reduce the pathogen. Validation of laboratory results at a processing facility on 114 swab samples provides a cue for wider investigation. The research provides next steps to the USDA-FSIS and the poultry industry to investigate modern technologies as well as enhance practices to reduce <em>Salmonella</em> in poultry and protect public health.</div></div>","PeriodicalId":15903,"journal":{"name":"Journal of food protection","volume":"88 10","pages":"Article 100613"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Visible and Invisible Fecal Contamination on Chicken Carcasses Using Multispectral Fluorescence Imaging and Machine Learning to Mitigate Salmonella Risks\",\"authors\":\"Micah T. Black , Luis Guzman , Aftab Siddique , Katherine Sierra , Vianca Tashiguano , Laura Garner , Nicholas MacKinnon , Stanislov Sokolov , Fartash Vasefi , Jianwei Qin , Diane Chan , Insuck Baek , Kevin Chao , Moon Kim , Amit Morey\",\"doi\":\"10.1016/j.jfp.2025.100613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><em>Salmonella</em>, mainly associated with raw poultry, remains a major food safety concern as the number of illnesses has not reduced over the past decade warranting a need for convergent, disruptive approaches. In poultry processing plants, the USDA-FSIS implements a “zero visible fecal tolerance” policy on eviscerated broiler carcasses entering the chiller as a step to reduce the pathogen from cross−contamination. The efficacy of multispectral fluorescence imaging technology to detect visible and invisible fecal matter from different sections of the gastrointestinal tract was assessed on 404 carcasses to enhance automation in processing plants. Results indicated that multispectral imaging combined with data analytics can detect fecal contamination on carcasses but cannot distinguish between fecal sources above 55.40% with a threshold of 50 on large contaminant placed sites. The most significant finding was the ability to detect fecal contamination invisible to the naked eye, and those spots were positive for <em>Salmonella</em> warranting changes in existing practices of detecting fecal matter and rinsing-off carcasses to reduce the pathogen load. To our knowledge, this is the first report to detect invisible fecal contamination on broiler carcasses. An unexpected finding of <em>Salmonella</em> on 100 postchilled carcasses, due to the abrasive action of swabs, indicates a need to improve <em>Salmonella</em> sampling methods in the poultry industry. Improvement over the existing poultry <em>Salmonella</em> sample collection method may provide a better understanding of the levels of <em>Salmonella</em> on raw poultry and aid in developing measures to reduce the pathogen. Validation of laboratory results at a processing facility on 114 swab samples provides a cue for wider investigation. The research provides next steps to the USDA-FSIS and the poultry industry to investigate modern technologies as well as enhance practices to reduce <em>Salmonella</em> in poultry and protect public health.</div></div>\",\"PeriodicalId\":15903,\"journal\":{\"name\":\"Journal of food protection\",\"volume\":\"88 10\",\"pages\":\"Article 100613\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of food protection\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0362028X25001656\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of food protection","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0362028X25001656","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Detection of Visible and Invisible Fecal Contamination on Chicken Carcasses Using Multispectral Fluorescence Imaging and Machine Learning to Mitigate Salmonella Risks
Salmonella, mainly associated with raw poultry, remains a major food safety concern as the number of illnesses has not reduced over the past decade warranting a need for convergent, disruptive approaches. In poultry processing plants, the USDA-FSIS implements a “zero visible fecal tolerance” policy on eviscerated broiler carcasses entering the chiller as a step to reduce the pathogen from cross−contamination. The efficacy of multispectral fluorescence imaging technology to detect visible and invisible fecal matter from different sections of the gastrointestinal tract was assessed on 404 carcasses to enhance automation in processing plants. Results indicated that multispectral imaging combined with data analytics can detect fecal contamination on carcasses but cannot distinguish between fecal sources above 55.40% with a threshold of 50 on large contaminant placed sites. The most significant finding was the ability to detect fecal contamination invisible to the naked eye, and those spots were positive for Salmonella warranting changes in existing practices of detecting fecal matter and rinsing-off carcasses to reduce the pathogen load. To our knowledge, this is the first report to detect invisible fecal contamination on broiler carcasses. An unexpected finding of Salmonella on 100 postchilled carcasses, due to the abrasive action of swabs, indicates a need to improve Salmonella sampling methods in the poultry industry. Improvement over the existing poultry Salmonella sample collection method may provide a better understanding of the levels of Salmonella on raw poultry and aid in developing measures to reduce the pathogen. Validation of laboratory results at a processing facility on 114 swab samples provides a cue for wider investigation. The research provides next steps to the USDA-FSIS and the poultry industry to investigate modern technologies as well as enhance practices to reduce Salmonella in poultry and protect public health.
期刊介绍:
The Journal of Food Protection® (JFP) is an international, monthly scientific journal in the English language published by the International Association for Food Protection (IAFP). JFP publishes research and review articles on all aspects of food protection and safety. Major emphases of JFP are placed on studies dealing with:
Tracking, detecting (including traditional, molecular, and real-time), inactivating, and controlling food-related hazards, including microorganisms (including antibiotic resistance), microbial (mycotoxins, seafood toxins) and non-microbial toxins (heavy metals, pesticides, veterinary drug residues, migrants from food packaging, and processing contaminants), allergens and pests (insects, rodents) in human food, pet food and animal feed throughout the food chain;
Microbiological food quality and traditional/novel methods to assay microbiological food quality;
Prevention of food-related hazards and food spoilage through food preservatives and thermal/non-thermal processes, including process validation;
Food fermentations and food-related probiotics;
Safe food handling practices during pre-harvest, harvest, post-harvest, distribution and consumption, including food safety education for retailers, foodservice, and consumers;
Risk assessments for food-related hazards;
Economic impact of food-related hazards, foodborne illness, food loss, food spoilage, and adulterated foods;
Food fraud, food authentication, food defense, and foodborne disease outbreak investigations.