Miniaturized Raman Instruments for SERS-Based Point-of-Care Testing on Respiratory Viruses

Ali, Ahmed; Nettey-Oppong, Ezekiel Edward; Effah, Elijah; Yu, Chan Yeong; Muhammad, Riaz; Soomro, Toufique Ahmed; Byun, Kyung Min; Choi, Seung Ho

doi:10.3390/bios12080590

Cited by 24 publications

(22 citation statements)

References 149 publications

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“…Raman scattering was first theoretically predicted in 1923 by Smekal 136 . It is a spectroscopic technique in accordance with the inelastic scattering of photons, characterized by the vibration of chemical bonds in molecules when light interacts with them 137 . In 1928, C. V. Raman experimentally confirmed the existence of Raman scattering, for which he was awarded the Nobel Prize in Physics in 1930 138 .…”

Section: Sers‐based Biosensingmentioning

confidence: 97%

“…136 It is a spectroscopic technique in accordance with the inelastic scattering of photons, characterized by the vibration of chemical bonds in molecules when light interacts with them. 137 In 1928, C. V. Raman experimentally confirmed the existence of Raman scattering, for which he was awarded the Nobel Prize in Physics in 1930. 138 The ability of Raman spectroscopy to calculate the composition and structure of analytes based on vibrational information has led to its subsequent widespread use in biomedicine, analytical chemistry, and other fields.…”

Section: Sers-based Biosensingmentioning

confidence: 99%

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Optical biosensing systems for a biological living body

Yan

Guo

Wang

et al. 2023

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With the development of technology, biosensors are increasingly used in the biomedical field. Due to the high sensitivity of optical signals, good stability, high signal‐to‐noise ratio, and different spectral characteristics of different analytes, optical biosensors can achieve direct and real‐time detection of analytes with high specificity compared with traditional analytical techniques. In view of the rapid development of optical biosensors for in vivo applications and their promising future, we have attempted to summarize the working principles and recent advances in application in humans, with the aim of helping readers to gain an in‐depth and detailed understanding of optical biosensors developed in recent years for applications in the biological living body. In this review, we focus on some of the current widely used and promising optical biosensors, including colorimetric biosensors, fluorescence biosensors, and surface‐enhanced‐Raman‐scattering‐based biosensors. The working principles for each type of optical biosensor are concisely described and the application of the biosensor in the living body is summarized by category. We conclude by looking at the prospects of in vivo applications of optical biosensors.

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Section: Sers‐based Biosensingmentioning

confidence: 97%

Section: Sers-based Biosensingmentioning

confidence: 99%

Optical biosensing systems for a biological living body

Yan

Guo

Wang

et al. 2023

VIEW

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“…Combined with recent developments in flexible SERS sensors, it also offers easy sample-collection methods, such as swabbing from an uneven surface [ 54 ]. Lastly, advances in portable instrumentation and low-cost lasers leveraged the usage of SERS for real-world applications [ 55 ]. The easy availability of IR lasers that have a low damage threshold with biology samples, as well as quench fluorescence, has favored the development of SERS for biosensing.…”

Section: Introductionmentioning

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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“…In addition, the restricted compatibility of rigid substrates with sampling and the need for additional preparation procedures before analysis limits their practical application. Therefore, the fabrication of ready-to-use, SERS-active substrates in combination with portable models of Raman spectrometers [ 14 , 15 ] has great potential for the realization of routine analysis.…”

Section: Introductionmentioning

confidence: 99%

Flexible Substrate of Cellulose Fiber/Structured Plasmonic Silver Nanoparticles Applied for Label-Free SERS Detection of Malathion

et al. 2023

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Surface-enhanced Raman scattering (SERS) is considered an efficient technique providing high sensitivity and fingerprint specificity for the detection of pesticide residues. Recent developments in SERS-based detection aim to create flexible plasmonic substrates that meet the requirements for non-destructive analysis of contaminants on curved surfaces by simply wrapping or wiping. Herein, we reported a flexible SERS substrate based on cellulose fiber (CF) modified with silver nanostructures (AgNS). A silver film was fabricated on the membrane surface with an in situ silver mirror reaction leading to the formation of a AgNS–CF substrate. Then, the substrate was decorated through in situ synthesis of raspberry-like silver nanostructures (rAgNS). The SERS performance of the prepared substrate was tested using 4-mercaptobenzoic acid (4-MBA) as a Raman probe and compared with that of the CF-based plasmonic substrates. The sensitivity of the rAgNS/AgNS–CF substrate was evaluated by determining the detection limit of 4-MBA and an analytical enhancement factor, which were 10 nM and ~107, respectively. Further, the proposed flexible rAgNS/AgNS–CF substrate was applied for SERS detection of malathion. The detection limit for malathion reached 0.15 mg/L, which meets the requirements about its maximum residue level in food. Thus, the characteristics of the rAgNS/AgNS–CF substrate demonstrate the potential of its application as a label-free and ready-to-use sensing platform for the SERS detection of trace hazardous substances.

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Miniaturized Raman Instruments for SERS-Based Point-of-Care Testing on Respiratory Viruses

Cited by 24 publications

References 149 publications

Optical biosensing systems for a biological living body

Optical biosensing systems for a biological living body

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

Flexible Substrate of Cellulose Fiber/Structured Plasmonic Silver Nanoparticles Applied for Label-Free SERS Detection of Malathion

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