A sensitive multimode dot-filtration strip for the detection of Salmonella typhimurium using MoS2@Fe3O4

Gao, Luxiang; Xu, Xiaoyu; Liu, Wenxiu; Xie, Jinjuan; Zhang, Hongyan; Du, Shuyuan

doi:10.1007/s00604-022-05560-7

Cited by 9 publications

(3 citation statements)

References 35 publications

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“…SPR is constructed, and it is observed that as a sensitive refractive index enhances, a resonant wavelength concurrently rises due to an associated reduction in energy. This research provides valuable insights into the development of optical fiber sensors for specific E. coli detection, addressing both health and security concerns associated with this hazardous bacterium [ 102 ].…”

Section: Applications In Foodborne Pathogen Detectionmentioning

confidence: 99%

Multimodal Biosensing of Foodborne Pathogens

Ullah,

Bruce-Tagoe,

Asamoah

et al. 2024

IJMS

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Microbial foodborne pathogens present significant challenges to public health and the food industry, requiring rapid and accurate detection methods to prevent infections and ensure food safety. Conventional single biosensing techniques often exhibit limitations in terms of sensitivity, specificity, and rapidity. In response, there has been a growing interest in multimodal biosensing approaches that combine multiple sensing techniques to enhance the efficacy, accuracy, and precision in detecting these pathogens. This review investigates the current state of multimodal biosensing technologies and their potential applications within the food industry. Various multimodal biosensing platforms, such as opto-electrochemical, optical nanomaterial, multiple nanomaterial-based systems, hybrid biosensing microfluidics, and microfabrication techniques are discussed. The review provides an in-depth analysis of the advantages, challenges, and future prospects of multimodal biosensing for foodborne pathogens, emphasizing its transformative potential for food safety and public health. This comprehensive analysis aims to contribute to the development of innovative strategies for combating foodborne infections and ensuring the reliability of the global food supply chain.

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Section: Applications In Foodborne Pathogen Detectionmentioning

confidence: 99%

Multimodal Biosensing of Foodborne Pathogens

Ullah,

Bruce-Tagoe,

Asamoah

et al. 2024

IJMS

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“…4,5 Among them, Salmonella typhimurium (S. typhimurium) is a particularly notorious intestinal pathogen, which is associated with the outbreak of numerous foodborne diseases. 6,7 The incidence rate of S. typhimurium ranks first among Salmonella infections and S. typhimurium can induce nosocomial infection and fulminant food poisoning with a high fatality rate. 8,9 Although antimicrobial intervention is an effective means of addressing bacterial contamination, eggs and milk with Salmonella are identified during foodborne and point source infection.…”

Section: Introductionmentioning

confidence: 99%

“…Foodborne gastrointestinal bacterial pathogens are one of the major foodborne pathogenic bacteria causing human diarrheal diseases, such as diarrhea, abdominal cramping, and vomiting. − Foodborne pathogens are widely polluted, spread swiftly, and do excellent harm, which has a great impact on human health and the economy and has turned out to be a premier public health problem in the world. , Among them, Salmonella typhimurium (S. typhimurium) is a particularly notorious intestinal pathogen, which is associated with the outbreak of numerous foodborne diseases. , The incidence rate of S. typhimurium ranks first among Salmonella infections and S.…”

Section: Introductionmentioning

confidence: 99%

Dual-Readout Ultrasensitive Lateral Flow Immunosensing of Salmonella typhimurium in Dairy Products by Doping Engineering-Powered Nanoheterostructure with Enhanced Photothermal Performance

Shi,

Wang,

et al. 2024

J. Agric. Food Chem.

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The photothermal lateral flow immunoassay (LFIA) is of great significance to suitable for on-site semiquantitative detection, which has the upper hand in further constructing detection methods for low-concentration targets. Herein, we presented a doping engineering-powered nanoheterostructure with an enhanced photothermal performance strategy, employing bimetallic nanocuboid Pt 3 Sn (PSNCs) as a proof of concept. With the help of finite element simulation analysis, the contrast of direct temperature experiment, and the evaluation of photothermal conversion efficiency (η), the distinguished and enthusiastic photothermal feedback of PSNCs is proved. Based on steady bright black of colorimetric and superior photothermal performance, the PSNCs were employed to construct an ultrasensitive model LIFA for detecting Salmonella typhimurium (S. typhimurium), which achieved the double-signal semiquantitative detection, the detection limit reached 10 3 cfu mL −1 (colorimetric mode) and 10 2 cfu mL −1 (photothermal mode), which is 100 times higher than that of the traditional colloidal gold method. In addition, the method was effective for the detection of targets in dairy samples only through a simple dilution treatment, which was completed within 15 min. Meanwhile, this PSNCs dual-signal LFIA demonstrated the sensitive detection of S. typhimurium due to the excellent colorimetric signal and significant photothermal performance, which provides a broad spectrum for the future detection of foodborne pathogens.

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