High throughput detection of antibiotic residues in milk by time-resolved fluorescence immunochromatography based on QR code.


Journal

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment
ISSN: 1944-0057
Titre abrégé: Food Addit Contam Part A Chem Anal Control Expo Risk Assess
Pays: England
ID NLM: 101485040

Informations de publication

Date de publication:
Sep 2020
Historique:
pubmed: 28 7 2020
medline: 8 6 2021
entrez: 28 7 2020
Statut: ppublish

Résumé

Herein, we have successfully established a novel, rapid, and simple lateral-flow immunoassay based on time-resolved fluorescence and biotin-streptavidin to detect the residues of various antibiotics in milk. The fluorescence signal and sensitivity of immunochromatography were enhanced through biotinylated antibody coupled with streptavidin europium microspheres. Moreover, due to the use of a QR Code and fluorescent reader, quantitative detection and real-time data uploading can be achieved. Under the optimal conditions, the various antibiotic residues were detected in the milk samples. The results showed that the limits of detection of tylosin, lincomycin and doxycycline were 0.10, 0.06, and 0.27 ng/mL, respectively. The recoveries of the spiked milk samples were 88.9%~127%, with coefficients of variation less than 11%, and the test strip can be stored at room temperature for 12 months. This study shows that the proposed time-resolved fluorescence immunoassay is sensitive, rapid and reliable, and has the potential to be used for detection of veterinary antibiotic residues in food safety fields.

Identifiants

pubmed: 32717177
doi: 10.1080/19440049.2020.1778192
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1481-1490

Auteurs

Asha Ashuo (A)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Wenjia Zou (W)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Jingjie Fu (J)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Tengkun Yang (T)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Linlin Yu (L)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Wei Liu (W)

Beijing WDWK Biotechnology Co., Ltd , Beijing, China.

Liu Yang (L)

Beijing WDWK Biotechnology Co., Ltd , Beijing, China.

Ghulam Mujtaba Mari (GM)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

Haiyang Jiang (H)

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety , Beijing, People's Republic of China.

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Classifications MeSH