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ARSCP: An antimicrobial residue surveillance cloud platform for animal-derived foods.
Yu, Jun-Jun; Hu, Ya-Lin; Liu, Cheng-Zheng; Wu, Shuai-Bin; Zheng, Zi-Jian; Cui, Ze-Hua; Chen, Li; Wei, Tian; Sun, Shi-Kai; Ning, Jun; Wen, Xiang; Diao, Qiu-Yue; Yu, Yang; Fang, Liang-Xing; Zhou, Yu-Feng; Liu, Ya-Hong; Liao, Xiao-Ping; Li, Xi-Ming; Sun, Jian.
Afiliação
  • Yu JJ; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China; Guangdong Enterprise Key Laboratory for Animal Health and Environm
  • Hu YL; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Liu CZ; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Wu SB; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Zheng ZJ; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Cui ZH; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Chen L; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, China; WENS Research Institute (Technology center), WENS Foodstuff Group Co., LTD., China.
  • Wei T; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, China; WENS Research Institute (Technology center), WENS Foodstuff Group Co., LTD., China.
  • Sun SK; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, China; WENS Research Institute (Technology center), WENS Foodstuff Group Co., LTD., China.
  • Ning J; Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, China; WENS Research Institute (Technology center), WENS Foodstuff Group Co., LTD., China.
  • Wen X; College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China.
  • Diao QY; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Yu Y; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Fang LX; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Zhou YF; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Liu YH; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Liao XP; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
  • Li XM; College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China. Electronic address: liximing.cn@gmail.com.
  • Sun J; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China. Electronic address: jiansun@scau.edu.cn.
Sci Total Environ ; 858(Pt 1): 159807, 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36461568
ABSTRACT
Antibiotics have been widely used for improving human and animal health and well-being for many decades. However, the enormous antibiotic usage in agriculture especially for livestock leads to considerable quantities of antibiotic residues in associated food products and can reach potentially hazardous levels for consumers. Therefore, timely detection and systematical surveillance on residual antibiotics in food materials are of significance to minimize the negative impact caused by such unwanted antibiotic leftovers. To this end, we constructed a cloud-platform-based system (ARSCP) for comprehensive surveillance of antibiotic residues in food materials. With the system, we collected 126,560 samples from 68 chicken farms across China and detected the antibiotic residues using a rapid detection colorimetric commercial (Explorer 2.0) kit and UPLC-MS/MS. Only 108 (0.085 %) of the samples contained residual antibiotics exceeding the MRLs and all data were subjected to ARSCP system to provide a landscape of antibiotic residues in China. As a proof-of-concept, we provided an overview of residual antibiotics based on data from China, but the system is generally applicable to track and monitor the antibiotic residues globally when the data from other countries are incorporated. We used the combined Explorer 2.0 and MS data to construct ARSCP, an antimicrobial residue surveillance cloud platform for raw chicken samples. ARSCP can be used for rapid detection and real-time monitoring of antibiotic residues in animal food and provides both data management and risk warning functions. This system provides a solution to improve the management of facilities that must monitor antibiotic MRLs in food animal products that can reduce the pollution of antibiotics to the environment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Anti-Infecciosos Limite: Animals / Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Anti-Infecciosos Limite: Animals / Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article