Literature DB >> 35609452

Zwitterion-modified antifouling swab joint "Snake-Eye" for detection of Salmonella in colored foodstuffs.

Huixian Huang1, Yunyi Li1, Yundi Kuang1, Xinyun Zhang1, Zainabu Majid1, Xiaoyun He1, Yunbo Luo1, Kunlun Huang2, Nan Cheng3.   

Abstract

Salmonella can be found in foods such as meat, eggs and milk, posing a serious threat to human health. To address the challenge of interference with detection signals from large molecular contaminants and colored substances in complex food matrices, we had dived into easy-to-use antifouling swabs, which were modified with sodium sulfonyl methacrylate (SBMA) by photopolymerization and incubated with Salmonella-specific aptamers. Surface modification of SBMA showed the antifouling property of the swab, and the aptamer collected Salmonella in the sample. Gold-palladium (Au-Pd) nanoparticles with photothermal properties were combined with the aptamer by freezing technique to identify Salmonella on the swab and output the signal. In addition, we used a simple "Snake-Eye" device, which consists of laser transmitter, infrared thermometer and smartphone to quantitatively identify Salmonella in colored foodstuffs. The linear detection range was 102-107 CFU mL-1, and the detection limit was 13.20 CFU mL-1. The findings suggest that our swabs had strong antifouling effect, exhibit high sensitivity in complex food matrices especially colored foodstuffs, and was easy to use on site.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antifouling biosensor; Au–Pd nanoparticles; Cotton swab; Salmonella; Zwitterion

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Year:  2022        PMID: 35609452     DOI: 10.1016/j.bios.2022.114375

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  1 in total

1.  Nano-gold-enhanced LAMP method for qualitative visual detection of Salmonella in milk.

Authors:  ZaiHui Du; ShengHao Lin; JiaLe Li; JingJing Tian; WenTao Xu; KunLun Huang; QingLiang Liu; YanLi Sun
Journal:  Mikrochim Acta       Date:  2022-09-01       Impact factor: 6.408

  1 in total

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