4.7 Article

Enzyme-modulated photothermal immunoassay of chloramphenicol residues in milk and egg using a self-calibrated thermal imager

期刊

FOOD CHEMISTRY
卷 392, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2022.133232

关键词

Chloramphenicol; Self-calibrated thermal imaging system (SCTIS); Oxidized 3; 3?; 5? -tetramethylbenzidine; (TMBox); Photothermal conversion; Immunoassay

资金

  1. Distinguished Scientist Development Program of Beijing Academy of Agriculture and Forestry Sciences [SZYJY2021002]
  2. Hubei Hongshan Laboratory [JKZX201904]

向作者/读者索取更多资源

A highly sensitive and accurate enzyme-modulated photothermal immunosensor utilizing a self-calibrated thermal imaging system (SCTIS) was developed for the detection of chloramphenicol. The immunosensor used alkaline phosphatase as a modulator of the photothermal conversion and employed SCTIS for real-time self-calibration of temperature. It achieved a LOD of 9 pg/mL for chloramphenicol detection in 2 hours, with low relative standard deviations and good average recoveries in milk and egg samples.
Highly sensitive and accurate detection of chloramphenicol is of paramount importance for food safety. Herein, an enzyme-modulated photothermal immunosensor that uses a self-calibrated thermal imaging system (SCTIS) as signal read-out was developed for detecting chloramphenicol. In this immunosensor, alkaline phosphatase was used as a modulator of the photothermal conversion. It could hydrolyze the substrate into ascorbic acid, thereby reducing oxidized 3,3 ',5,5 '-tetramethylbenzidine, which exhibited a near-infrared laser-driven photothermal effect. For precise temperature measurement, the SCTIS was designed by using the temperature compensation of a ceramic chip to enable real-time self-calibration of the temperature. This SCTIS-based immunosensor could detect chloramphenicol with a LOD of 9 pg/mL in 2 h, and relative standard derivations from 3.95% to 13.58%. The average recoveries in milk and egg samples ranged from 76% to 114%. This versatile sensing strategy can detect various targets by altering recognition elements, thus has wide applicability in food safety testing and monitoring.

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