Recent advances in surface enhanced Raman spectroscopy for bacterial pathogen identifications

Usman, Muhammad; Tang, Jia-Wei; Li, Fen; Lai, Jinxin; Liu, Qinghua; Liu, Wei; Wang, Liang

doi:10.1016/j.jare.2022.11.010

Cited by 31 publications

(12 citation statements)

References 139 publications

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“…This approach therefore leads to signal enhancements of several orders of magnitude depending on the type of SERS substrate in combination with the excitation wavelength. Applying SERS to bacteria leads to two different approaches: either the bacteria are analyzed directly, or indirectly via an SERS tag with an SERS marker molecule [ 29 , 30 , 31 , 32 , 33 ]. In the first case, the SERS substrate will interact with the bacterial surface or secreted molecules and this information can then be used for identification or monitoring of physiological changes.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms

Frempong,

Salbreiter,

Mostafapour

et al. 2024

Molecules

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Raman spectroscopy is an emerging method for the identification of bacteria. Nevertheless, a lot of different parameters need to be considered to establish a reliable database capable of identifying real-world samples such as medical or environmental probes. In this review, the establishment of such reliable databases with the proper design in microbiological Raman studies is demonstrated, shining a light into all the parts that require attention. Aspects such as the strain selection, sample preparation and isolation requirements, the phenotypic influence, measurement strategies, as well as the statistical approaches for discrimination of bacteria, are presented. Furthermore, the influence of these aspects on spectra quality, result accuracy, and read-out are discussed. The aim of this review is to serve as a guide for the design of microbiological Raman studies that can support the establishment of this method in different fields.

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Section: Raman Spectroscopymentioning

confidence: 99%

Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms

Frempong,

Salbreiter,

Mostafapour

et al. 2024

Molecules

View full text Add to dashboard Cite

show abstract

“…Currently, the enzyme-linked immunosorbent assay (ELISA) for bacterial detection is fast and shows good specificity through the specific binding of antibody and antigen . However, the expensive materials, and usually the need to do the modification of the antibody, result in a more complicated operation procedure, which greatly limits its application. , For multiple bacterial detection, polymerase chain reaction (PCR) technology is commonly used in clinical practice to identify bacteria cultured in culture media . By PCR, the bacterial DNA in the culture media can be amplified, and then the bacterial species can be determined by analyzing the size and sequence of the amplification products .…”

Section: Introductionmentioning

confidence: 99%

Amoxicillin-Induced Purine Molecules Were Used as Bacterial Markers for SERS Detection and Recognition

Hong,

Meng,

Han

et al. 2024

J. Phys. Chem. C

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The amalgamation of surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) presents a discerning capability to differentiate among a diverse spectrum of bacterial strains. However, addressing the challenge of achieving expeditious and robust bacterial detection remains a prominent focal point. This study delineates a comprehensive bacterial classification and identification methodology grounded in the amoxicillin response, which effectively categorizes bacteria utilizing SERS and ML within a time frame of less than 20 min. The bacterial specimens are subjected to pharmacological stimulation, inducing the release of purine molecules that are integral to metabolic processes. Capitalizing on the preferential entry of these molecules into SERS hot spots over the bacteria themselves facilitates the consistent acquisition of stable SERS signals. Experimental evidence demonstrates that the interaction of S. aureus, E. coli, S. epidermidis, C. albicans, and K. pneumoniae with amoxicillin contributes to an enhancement in the stability and signal intensity of bacterial SERS. Utilizing a random forest (RF) model on pure bacterial samples yields an exemplary classification accuracy of 99%. Furthermore, the application of three distinct models, support vector machine (SVM), RF, and CNN-LSTM-Attention (CLA) in the analysis of clinical samples culminates in final classification accuracies of 92%, 87%, and 96%, respectively. This approach establishes a rapid, straightforward, and stable classification methodology for SERS-based bacterial detection, demonstrating significant potential for clinical diagnostic applications.

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“…Surface-enhanced Raman spectroscopy (SERS) has been widely used in analytical fields due to its high sensitivity and fingerprint specificity. 1,2 The necessary condition for SERS enhancement is that not only the structure of the highly active hot spot is constructed, but also the target molecules are required to enter the gaps (hot spots) of substrates. 3 A common approach is to construct high-density hot spots to improve the sensitivity of SERS detection.…”

Section: Introductionmentioning

confidence: 99%

Ag supraparticles with 3D hot spots to actively capture molecules for sensitive detection by surface enhanced Raman spectroscopy

Zhu,

Zhou,

Dong

et al. 2024

Analyst

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Recent advances in surface enhanced Raman spectroscopy for bacterial pathogen identifications

Cited by 31 publications

References 139 publications

Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms

Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms

Amoxicillin-Induced Purine Molecules Were Used as Bacterial Markers for SERS Detection and Recognition

Ag supraparticles with 3D hot spots to actively capture molecules for sensitive detection by surface enhanced Raman spectroscopy

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