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Nano Research 2023, 16(8): 11269-11277 https://doi.org/10.1007/s12274-023-5768-x
Research Article | Issue | Published: 13 June 2023

A quadruplex immunochromatographic assay for the ultrasensitive detection of 11 anesthetics

Show Author's Information Xianlu Lei1,2,  Xinxin Xu1,2( ),  Li Wang1,2,  Wei Zhou3,  Liqiang Liu1,2,  Liguang Xu1,2,  Hua Kuang1,2( ),  Chuanlai Xu1,2
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
Jiangsu Product Quality Testing and Inspection Institute, Nanjing 210000, China
Keywords:
colloidal gold, bupivacaine, eugenol, procaine, tricaine (TMS)
Topics:
Chemical sensors
Cite this article:
Lei X, Xu X, Wang L, et al. A quadruplex immunochromatographic assay for the ultrasensitive detection of 11 anesthetics. Nano Research, 2023, 16(8): 11269-11277. https://doi.org/10.1007/s12274-023-5768-x
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Abstract Full text Electronic supplementary material About this article

Anesthetic residues in fish represent a potential risk to human health. Therefore, it is important to develop a sensitive and broad-specific method for the detection of anesthetics. In this study, we developed a colloidal gold-based quadruplex immunochromatographic (Qua-ICS) assay using four highly sensitive monoclonal antibody immunotherapy (mAbs) that simultaneously detected 11 anesthetic residues in fish within 10 min. The colorimetric and cut-off values (COVs) for procaines, eugenols, bupivacaines, and tricaine (TMS) were 0.37–1.1 and 3.3–10, 11–222 and 100–2000, 0.37 and 3.3, and 111 and 10,000 µg/kg, respectively. Quantitative analysis was achieved with a portable strip-reader, and the detection ranges were 0.15–2.6, 6.3–677, 0.13–2.8, and 83–1245 µg/kg for procaines, eugenols, bupivacaines, and tricaine, respectively. Our developed method was reliable and accurate according to the recovery test results and analyses of real samples. Therefore, the strip can be used as an alternative method for the rapid detection of anesthetic residues in fish.


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Abstract
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Electronic supplementary material
About this article

A quadruplex immunochromatographic assay for the ultrasensitive detection of 11 anesthetics

Show Author's information Xianlu Lei1,2, Xinxin Xu1,2( ), Li Wang1,2, Wei Zhou3, Liqiang Liu1,2, Liguang Xu1,2, Hua Kuang1,2( ), Chuanlai Xu1,2
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
Jiangsu Product Quality Testing and Inspection Institute, Nanjing 210000, China

Abstract

Anesthetic residues in fish represent a potential risk to human health. Therefore, it is important to develop a sensitive and broad-specific method for the detection of anesthetics. In this study, we developed a colloidal gold-based quadruplex immunochromatographic (Qua-ICS) assay using four highly sensitive monoclonal antibody immunotherapy (mAbs) that simultaneously detected 11 anesthetic residues in fish within 10 min. The colorimetric and cut-off values (COVs) for procaines, eugenols, bupivacaines, and tricaine (TMS) were 0.37–1.1 and 3.3–10, 11–222 and 100–2000, 0.37 and 3.3, and 111 and 10,000 µg/kg, respectively. Quantitative analysis was achieved with a portable strip-reader, and the detection ranges were 0.15–2.6, 6.3–677, 0.13–2.8, and 83–1245 µg/kg for procaines, eugenols, bupivacaines, and tricaine, respectively. Our developed method was reliable and accurate according to the recovery test results and analyses of real samples. Therefore, the strip can be used as an alternative method for the rapid detection of anesthetic residues in fish.

Keywords: colloidal gold, bupivacaine, eugenol, procaine, tricaine (TMS)

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Publication history
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Acknowledgements

Publication history

Received: 04 February 2023
Revised: 13 April 2023
Accepted: 23 April 2023
Published: 13 June 2023
Issue date: August 2023

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This work is financially supported by the National Key Research and Development Program of China (No. 2022YFF1101002), and Jiangsu Association for Science and Technology Youth Science and Technology Talent Support Project (No. TJ-2021-049).

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