A multiple lateral flow immunoassay based on AuNP for the detection of 5 chemical contaminants in milk

Autor: Guangjian Xue, Mengyun Wu, Tingting Liu, Xuechen Fang, Jiaqi Yin, Weihua Lai, Juan Peng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Dairy Science, Vol 106, Iss 6, Pp 3856-3867 (2023)
Druh dokumentu: article
ISSN: 0022-0302
2022-2300
DOI: 10.3168/jds.2022-23008
Popis: ABSTRACT: Melamine (MEL), enrofloxacin (ENR), sulfamethazine (SMZ), tetracycline (TC), and aflatoxin M1 (AFM1) are the main chemical contaminants in milk. It is necessary to detect these miscellaneous chemical contaminants in milk synchronously to ensure the safety of the milk. In this study, a multiple lateral flow immunoassay (LFIA) was developed for the detection of MEL, ENR, SMZ, TC, and AFM1 in milk. Under optimal experimental conditions, the cutoff values were 25 ng/mL for MEL, 1 ng/mL for ENR, 2.5 ng/mL for SMZ, 2.5 ng/mL for TC, and 0.25 ng/mL for AFM1 in milk samples. The limits of detection of LFIA were 0.173 ng/mL for MEL, 0.078 ng/mL for ENR, 0.059 ng/mL for SMZ, 0.082 ng/mL for TC, and 0.0064 ng/mL for AFM1. The recovery rates of LFIA in milk were 83.2–104.4% for MEL, 76.5–127.3% for ENR, 96.8–113.5% for SMZ, 107.1–166.6% for TC, and 93.5–130.3% for AFM1. The coefficients of variation were all less than 15%. As a whole, the developed multiple lateral flow immunoassay showed potential as a highly reliable and excellent tool for the rapid and sensitive screening of MEL, ENR, SMZ, TC, and AFM1 in milk.
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