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Strategy for Accurate Detection of Six Tropane Alkaloids in Honey Using Lateral Flow Immunosensors

Authors :
Boyan Sun
Chuanlei Wang
Zile Wang
Jiayi Liang
Ke Han
Shuai Zhang
Chunchao Yin
Xiaomei Wang
Chujun Liu
Zhiyue Feng
Sihan Wang
Haiyang Jiang
Source :
Sensors, Vol 24, Iss 22, p 7265 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Honey, a widely consumed food, is susceptible to contamination by various toxic substances during production. Tropane alkaloids, with their potent neurotoxicity, are frequently found in honey. Hence, there is an acute need for rapid and effective detection methods to monitor these alkaloids. Lateral flow immunoassay (LFIA), known for its simple operation, low cost, and reliable results, holds great promise. In this study, we developed an efficient and user-friendly analytical method for the simultaneous detection of six tropane alkaloids (atropine, L-hyoscyamine, scopolamine, anisodamine, homatropine, and apoatropine) in honey based on an AuNPs lateral flow immunoassay (AuNPs-LFIA) with broad-spectrum antibodies. Under optimal conditions, the calculated detection limits were 0.22, 0.29, 0.51, 6.34, 0.30, and 0.94 ng/mL, respectively. By diluting the honey sample five times, the contaminants can be readily detected using LFIA. Semi-quantitative and quantitative analyses can be completed within 17 min. This innovative method fills the void in LFIA for detecting tropane alkaloids and serves as a valuable reference for LFIA detection of honey samples, providing a crucial strategy for the accurate detection of these important compounds.

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.03863ad127c0479f94b4d2bfafa073d8
Document Type :
article
Full Text :
https://doi.org/10.3390/s24227265