Xiangyu Song , Huhu Wang , Mingyuan Huang , Xuefei Shao , Xinglian Xu
{"title":"A novel bioinspired SERS platform for ultrasensitive bacterial detection","authors":"Xiangyu Song , Huhu Wang , Mingyuan Huang , Xuefei Shao , Xinglian Xu","doi":"10.1016/j.lwt.2025.117838","DOIUrl":null,"url":null,"abstract":"<div><h3>Salmonella</h3><div>Typhimurium (<em>S.</em> Typhimurium) is one of the greatest global concerns, as it causes zoonotic diseases. Human disease caused by the consumption of raw meat contaminated with <em>S.</em> Typhimurium are a major problem. Surface-enhanced Raman spectroscopy (SERS) has gained much attention as an ultrasensitive detection technique for the early monitoring of bacterial contamination. In this study, we proposed a SERS sandwich sensing method for developing a sensitive SERS bacterial sensor by integrating a signal element of dendritic mesoporous silica nanocarriers (DMSNs) loaded with plasma nanoparticles and SERS tags and an enrichment element of covalent organic frameworks encapsulated with magnetic Fe<sub>3</sub>O<sub>4</sub> nanoparticles with a sensitive magnetic response, which can synergistically increase the quantity and intensity of hotspots. The proposed SERS sandwich sensor demonstrated ultrahigh detection sensitivity (6.5 CFU/mL) and selectivity for <em>S.</em> Typhimurium. The constructed sensor could rapidly and accurately detect the target bacteria in spiked chicken samples. Thus, it provided a new approach and direction for the early detection of bacterial contamination in fresh meat.</div></div>","PeriodicalId":382,"journal":{"name":"LWT - Food Science and Technology","volume":"224 ","pages":"Article 117838"},"PeriodicalIF":6.0000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"LWT - Food Science and Technology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0023643825005225","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Salmonella
Typhimurium (S. Typhimurium) is one of the greatest global concerns, as it causes zoonotic diseases. Human disease caused by the consumption of raw meat contaminated with S. Typhimurium are a major problem. Surface-enhanced Raman spectroscopy (SERS) has gained much attention as an ultrasensitive detection technique for the early monitoring of bacterial contamination. In this study, we proposed a SERS sandwich sensing method for developing a sensitive SERS bacterial sensor by integrating a signal element of dendritic mesoporous silica nanocarriers (DMSNs) loaded with plasma nanoparticles and SERS tags and an enrichment element of covalent organic frameworks encapsulated with magnetic Fe3O4 nanoparticles with a sensitive magnetic response, which can synergistically increase the quantity and intensity of hotspots. The proposed SERS sandwich sensor demonstrated ultrahigh detection sensitivity (6.5 CFU/mL) and selectivity for S. Typhimurium. The constructed sensor could rapidly and accurately detect the target bacteria in spiked chicken samples. Thus, it provided a new approach and direction for the early detection of bacterial contamination in fresh meat.
期刊介绍:
LWT - Food Science and Technology is an international journal that publishes innovative papers in the fields of food chemistry, biochemistry, microbiology, technology and nutrition. The work described should be innovative either in the approach or in the methods used. The significance of the results either for the science community or for the food industry must also be specified. Contributions written in English are welcomed in the form of review articles, short reviews, research papers, and research notes. Papers featuring animal trials and cell cultures are outside the scope of the journal and will not be considered for publication.