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Tian Y, Yin X, Li J, Dou L, Wang S, Jia C, Li Y, Chen Y, Yan S, Wang J, Zhang D. A dual-mode lateral flow immunoassay by ultrahigh signal-to background ratio SERS probes for nitrofurazone metabolites ultrasensitive detection. Food Chem 2024; 441:138374. [PMID: 38219366 DOI: 10.1016/j.foodchem.2024.138374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/16/2024]
Abstract
In this work, an ultra-sensitive lateral flow immunoassay (LFIA) with SERS/colorimetric dual signal mode was constructed for the detection of nitrofurazone metabolites, an antibiotic prohibited in animal-origin foods. Au@4-MBN@AgNRs nano-sandwich structural signal tag integrates the unique advantages of high signal-to-background ratio and anti-matrix interference through geometric control of SERS tag and nanoengineering adjustment of chemical composition. Under the optimal conditions, the detection limits of nitrofurazone metabolites by SERS/colorimetric dual-mode LFIA were 20 pg/mL (colorimetric mode) and 0.08 pg/mL (SERS mode). Excitingly, the vLOD of the colorimetric signal improved by a factor of 100 compared to Au NPs-based LFIA. In this study, the proposed dual-mode LFIA was successfully applied to the on-site real-time detection of honey, milk powder, and chicken. It is anticipated that with low background interference and anti-matrix interference output signal, our proposed dual-mode strategy can pave an innovative pathway for the fabrication of a powerful biosensor.
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Affiliation(s)
- Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jiawei Li
- Shandong Marine Resource and Environment Research Institute, Shandong Key Laboratory of Marine Ecological Restoration, No.216 Changjiang Road, Development Zone, Yantai City, Shandong Province, China
| | - Leina Dou
- College of Veterinary Medicine, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China
| | - Shaochi Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Shengxue Yan
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100 Shaanxi, China.
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