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Duplex detection of foodborne pathogens using a SERS optofluidic sensor coupled with immunoassay

沙门氏菌 检出限 肠沙门氏菌 大肠杆菌 细菌 免疫分析 化学 色谱法 食源性病原体 拉曼光谱 病菌 食品微生物学 分析物 肠杆菌科 微生物学 抗体 生物 生物化学 单核细胞增生李斯特菌 光学 物理 基因 免疫学 遗传学
作者
Sara Asgari,Rajiv Dhital,Azlin Mustapha,Mengshi Lin
出处
期刊:International Journal of Food Microbiology [Elsevier BV]
卷期号:383: 109947-109947 被引量:9
标识
DOI:10.1016/j.ijfoodmicro.2022.109947
摘要

Herein, we developed a surface-enhanced Raman spectroscopy (SERS) optofluidic sensor coupled with immunoprobes to simultaneously separate and detect food-borne pathogens, Escherichia coli O157:H7, and Salmonella in lettuce and packed salad. The method consists of three steps of (i) enrichment to enhance detection sensitivity, (ii) selective separation and labelling of target bacteria by their specific antibody-bearing SERS-nanotags and (iii) detection of tagged bacterial cells using SERS within a hydrodynamic flow-focusing SERS optofluidic device, where even low counts of bacterial cells were detectable in the very thin-film-like sample stream. SERS-nanotags consisted of different Raman reporter molecules, representing each species, i.e., the detection of Raman reporter confirms the presence of the target pathogen. The anti- E. coli antibody used in this study functions against all strains of E. coli O157:H7 and the anti- Salmonella antibody used in this work acts on a wide range of Salmonella enterica strains. Bacterial counts of 1000, 100, and 10 CFU/ 200 g sample were successfully detected after only 15 min enrichment. Our method showed a very low detection limit value of 10 CFU/ 200 g sample for the bacterial mixture in both lettuce and packed salad, proving the efficiency and high sensitivity of our method to detect multiple pathogens in the food samples. The total analysis time, including sample preparation for simultaneous detection of multiple bacteria, was estimated to be 2 h, which is much less than the time required in conventional methods. Hence, our proposed protocol is considered a promising rapid and efficient approach for pathogen screening of food samples. • A SERS optofluidic sensor coupled with immunoassay was used to detect pathogens. • SERS nanotags were used to selectively separate and detect foodborne pathogens. • A flow-focusing design enables the detection of few counts of bacteria in food. • A LOD value of 10 CFU/ml was obtained for pathogens cocktail in food samples.
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