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Shi XX, Wang F, Wang ZZ, Huang GY, Li M, Simal-Gandara J, Hao GF, Yang GF. Unveiling toxicity profile for food risk components: A manually curated toxicological databank of food-relevant chemicals. Crit Rev Food Sci Nutr 2022; 64:5176-5191. [PMID: 36457196 DOI: 10.1080/10408398.2022.2152423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Rigorous risk assessment of chemicals in food and feed is essential to address the growing worldwide concerns about food safety. High-quality toxicological data on food-relevant chemicals are fundamental for risk modeling and assessment in the food safety area. The organization and analysis of substantial toxicity information can positively support decision-making by providing insight into toxicity trends. However, it remains challenging to systematically obtain fragmented toxicity data, and related toxicological resources are required to meet the current demands. In this study, we collected 221,439 experimental toxicity records for 5,657 food-relevant chemicals identified from extensive databases and literature, along with their information on chemical identification, physicochemical properties, environmental fates, and biological targets. Based on the aggregated data, a freely available web-based databank, Food-Relevant Available Chemicals Toxicology Databank (FRAC-TD) is presented, which supports multiple browsing ways and search criterions. Applying FRAC-TD for data-driven analysis, we revealed the underlying toxicity profiles of food-relevant chemicals in humans, mammals, and other species in the food chain. Expectantly, FRAC-TD could positively facilitate toxicological studies, toxicity prediction, and risk assessments in the food industry.
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Affiliation(s)
- Xing-Xing Shi
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
| | - Fan Wang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
| | - Zhi-Zheng Wang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
| | - Guang-Yi Huang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
| | - Min Li
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
| | - Jesus Simal-Gandara
- Analytical Chemistry and Food Science Department, Faculty of Science, Universidade de Vigo, Nutrition and Bromatology Group, Ourense, Spain
| | - Ge-Fei Hao
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Research and Development Center for Fine Chemicals, Guizhou University, Guiyang, Guizhou, P.R. China
| | - Guang-Fu Yang
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan, P. R. China
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Chen H, Chen Y, Yang H, Hsu K, Zhou M, Chen C, Chuang P. Implementation of food safety management systems that comply with
ISO
22000:2018 and
HACCP
: A case study of a postpartum diet enterprise in Taiwan. J Food Saf 2022. [DOI: 10.1111/jfs.12965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hsinjung Chen
- Department of Food Science and Biotechnology National Chung Hsing University Taichung City Taiwan
- Department of Nutrition China Medical University Taichung City Taiwan
- Department of Food Science and Technology Central Taiwan University of Science and Technology Taichung City Taiwan
| | - Yi‐Jyuan Chen
- Department of Food Science and Biotechnology National Chung Hsing University Taichung City Taiwan
| | - Hui‐Ting Yang
- Department of Food Safety Taipei Medical University Taipei City Taiwan
| | - Kuo‐Chiang Hsu
- Department of Nutrition China Medical University Taichung City Taiwan
| | - Minyi Zhou
- Department of Obstetrics and Gynecology The First People’s Hospital of Loudi Loudi China
| | - Chin‐Shuh Chen
- Department of Food Science and Biotechnology National Chung Hsing University Taichung City Taiwan
| | - Pei‐Ting Chuang
- Institute of Food Safety and Risk Management, National Taiwan Ocean University Keelung City Taiwan
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3
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Chen H, Liou BK, Hsu KC, Chen CS, Chuang PT. Implementation of food safety management systems that meets ISO 22000:2018 and HACCP: A case study of capsule biotechnology products of chaga mushroom. J Food Sci 2020; 86:40-54. [PMID: 33330998 DOI: 10.1111/1750-3841.15553] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/28/2020] [Accepted: 11/13/2020] [Indexed: 12/18/2022]
Abstract
In our study, a food safety management system was developed for a chaga mushroom biotechnology product manufacturer, with the purpose of meeting the quality demands of customers and enhancing the manufacturer's reputation. The study focused on identifying the potentially significant hazards present at each stage of the production process for chaga mushroom capsule products, and on ensuring that the biotechnology company in question has fully implemented ISO22000:2018 and the HACCP methodology. The results indicate that, in the 1 year following the implementation of ISO 22000:2018, there was a statistically significant drop (P < 0.05) in the coliforms level of the tested biotechnology product samples that started in the ninth month following implementation. The rapid screening of mycotoxin, heavy metal, and pesticide residue levels also increased monitoring intensity and strengthened the periodic rotation plan, enabling control over potential problems relating to raw materials and ensuring product quality. This finding reveals the importance and necessity of rapid screening for small- and medium-sized food industry enterprises. Furthermore, 1 year after the system's implementation, the defect rate for chaga products was also observed to have declined, and the number of process flow anomalies requiring correction was also found to have decreased significantly (P < 0.05), indicating that safety and quality levels were improving and stabilizing. If implemented over a longer period of time, the food safety management system's benefits would stand out even more, and significant improvements would be observed for more monitored items. PRACTICAL APPLICATION: Few studies have touched on food safety management systems (FSMSs) developed for capsule health food products. The enterprise examined in this study had actively worked to improve its quality system and meet its customers' needs through the implementation of the FSMSs.
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Affiliation(s)
- Hsinjung Chen
- Department of Food Science and Technology, Central Taiwan University of Science and Technology, Taichung, Taiwan, 40601, ROC.,Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, Taiwan, 40227, ROC.,Department of Nutrition, China Medical University, Taichung, Taiwan, 40402, ROC
| | - Bo-Kang Liou
- Department of Food Science and Technology, Central Taiwan University of Science and Technology, Taichung, Taiwan, 40601, ROC.,Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, Taiwan, 40227, ROC
| | - Kuo-Chiang Hsu
- Department of Nutrition, China Medical University, Taichung, Taiwan, 40402, ROC
| | - Chin-Shuh Chen
- Department of Food Science and Biotechnology, National Chung Hsing University, Taichung, Taiwan, 40227, ROC
| | - Pei-Ting Chuang
- Institute of Food Safety and Risk Management, National Taiwan Ocean University, Keelung, Taiwan, 20224, ROC
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4
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Li Y, Liang G, Zhang L, Liu Z, Yang D, Li J, Sun G, Zhou P. Development and application of a comparative risk assessment method for ranking chemical hazards in food. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2020; 38:1-14. [PMID: 33275871 DOI: 10.1080/19440049.2020.1828627] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The aim of this study was to develop a comparative risk assessment method to prioritise the public health risks posed by chemical hazards in food. Through a literature review, and in light of expert opinions, a bottom-up, semi-quantitative scoring method was applied to screen the ranking metrics and assign a score. In addition, a metrics system and a ranking model were constructed. The fuzzy comprehensive analysis model was used to assess typical chemical hazards in a specific food, as well as to rank risks in many foods. Data were collected from the National Food Surveillance System in China, the Food Consumption of Chinese Residents Database, government reports, public websites and databases of authoritative organisations. The comparative risk assessment method was applied to case studies on ranking chemical hazards in different kinds of food. According to application testing, the method truly reflects the overall risk and ranking of chemical hazards in food.
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Affiliation(s)
- Ying Li
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University , Nanjing, China
| | - Guoxin Liang
- Beijing Daxing District Center for Diseases Prevention and Control , Beijing, China
| | - Lei Zhang
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment , Beijing, China
| | - Zhaoping Liu
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment , Beijing, China
| | - Dajin Yang
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment , Beijing, China
| | - Jianwen Li
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment , Beijing, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University , Nanjing, China
| | - Pingping Zhou
- NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (2019RU014), China National Center for Food Safety Risk Assessment , Beijing, China
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Stroheker T, Chung YJ, Scholz G, Mazzatorta P. A global approach for prioritizing chemical contaminants in raw materials of food for infants and young children. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.05.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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van Asselt E, Noordam M, Pikkemaat M, Dorgelo F. Risk-based monitoring of chemical substances in food: Prioritization by decision trees. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.06.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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