Application of SERS in the Detection of Fungi, Bacteria and Viruses

Ji, Xia; Li, Wenwen; Sun, Mengtao; Wang, Huanting

doi:10.3390/nano12203572

Cited by 45 publications

(24 citation statements)

References 89 publications

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“…However, all of them are time-consuming and need 2 to 3 days to arrive at conclusions [ 279 ]. SERS-based sensing for bacteria is extensively used for its proven advantages of being specific, sensitive [ 280 , 281 , 282 ], rapid [ 283 ], and water compatible to perform in situ measurements [ 284 ], as well as having the ability to quantify [ 285 , 286 , 287 ] and potential for trace detection [ 288 , 289 , 290 , 291 , 292 , 293 ]. Point-of-care devices for detection of bacteria can also be realized through SERS [ 294 , 295 ].…”

Section: Sers-based Detection Of Microorganismsmentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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Section: Sers-based Detection Of Microorganismsmentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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“…SERS is an ideal bacteria detection method with the characteristics of high efficiency, fast analysis speed and high sensitivity. A SERS signal can reveal rich fingerprint information about bacterial compositions including nucleic acids, proteins, lipids and pigments [ 81 ]. The SERS-based methods for bacteria detection are usually divided into two strategies: the label-based method and the label-free method [ 82 ].…”

Section: The Sers Strategy For Bacteria Detectionmentioning

confidence: 99%

Recent Progress of Surface-Enhanced Raman Spectroscopy for Bacteria Detection

Liu

Wang

et al. 2023

Biosensors

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There are various pathogenic bacteria in the surrounding living environment, which not only pose a great threat to human health but also bring huge losses to economic development. Conventional methods for bacteria detection are usually time-consuming, complicated and labor-intensive, and cannot meet the growing demands for on-site and rapid analyses. Sensitive, rapid and effective methods for pathogenic bacteria detection are necessary for environmental monitoring, food safety and infectious bacteria diagnosis. Recently, benefiting from its advantages of rapidity and high sensitivity, surface-enhanced Raman spectroscopy (SERS) has attracted significant attention in the field of bacteria detection and identification as well as drug susceptibility testing. Here, we comprehensively reviewed the latest advances in SERS technology in the field of bacteria analysis. Firstly, the mechanism of SERS detection and the fabrication of the SERS substrate were briefly introduced. Secondly, the label-free SERS applied for the identification of bacteria species was summarized in detail. Thirdly, various SERS tags for the high-sensitivity detection of bacteria were also discussed. Moreover, we emphasized the application prospects of microfluidic SERS chips in antimicrobial susceptibility testing (AST). In the end, we gave an outlook on the future development and trends of SERS in point-of-care diagnoses of bacterial infections.

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“…Surface-enhanced Raman scattering (SERS) [ 32 ] is a technique that enhances the Raman scattering of surface plasmon. Raman spectroscopy has gained interest in many fields since its discovery, such as medical diagnostics, food safety, and environmental monitoring [ 33 , 34 , 35 ]. Appropriate laser excitation produces a localized strong electromagnetic field in metal nanoparticles, which greatly enhances the Raman (and fluorescence) signal of molecules adsorbed on the surface.…”

Section: Surface Plasmonmentioning

confidence: 99%

Silver-Based Surface Plasmon Sensors: Fabrication and Applications

Liao

Hou

et al. 2023

IJMS

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A series of novel phenomena such as optical nonlinear enhancement effect, transmission enhancement, orientation effect, high sensitivity to refractive index, negative refraction and dynamic regulation of low threshold can be generated by the control of surface plasmon (SP) with metal micro-nano structure and metal/material composite structure. The application of SP in nano-photonics, super-resolution imaging, energy, sensor detection, life science, and other fields shows an important prospect. Silver nanoparticles are one of the commonly used metal materials for SP because of their high sensitivity to refractive index change, convenient synthesis, and high controllable degree of shape and size. In this review, the basic concept, fabrication, and applications of silver-based surface plasmon sensors are summarized.

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Application of SERS in the Detection of Fungi, Bacteria and Viruses

Cited by 45 publications

References 89 publications

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Recent Progress of Surface-Enhanced Raman Spectroscopy for Bacteria Detection

Silver-Based Surface Plasmon Sensors: Fabrication and Applications

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