Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(3)

Published: March 5, 2024

Abstract Infectious diseases caused by microbial pathogens remain a primary contributor to global health burdens. Prompt control and effective prevention of these are critical for public medical diagnostics. Conventional detection methods suffer from high complexity, low sensitivity, poor selectivity. Therefore, developing rapid reliable pathogen has become imperative. Surface‐enhanced Raman Spectroscopy (SERS), as an innovative non‐invasive diagnostic technique, holds significant promise in pathogenic microorganism due its rapid, reliable, cost‐effective advantages. This review comprehensively outlines the fundamental theories (RS) with focus on label‐free SERS strategy, reporting latest advancements technique detecting bacteria, viruses, fungi clinical settings. Furthermore, we emphasize application machine learning algorithms spectral analysis. Finally, challenges faced probed, prospective development is discussed.

Language: Английский

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Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications

Chemosensors, Journal Year: 2024, Volume and Issue: 12(7), P. 140 - 140

Published: July 15, 2024

Detecting pathogenic bacteria and their phenotypes including microbial resistance is crucial for preventing infection, ensuring food safety, promoting environmental protection. Raman spectroscopy offers rapid, seamless, label-free identification, rendering it superior to gold-standard detection techniques such as culture-based assays polymerase chain reactions. However, its practical adoption hindered by issues related weak signals, complex spectra, limited datasets, a lack of adaptability characterization bacterial pathogens. This review focuses on addressing these with recent breakthroughs enabled machine learning (ML), particularly deep methods. Given the regulatory requirements, consumer demand safe products, growing awareness risks pathogens, this study emphasizes pathogen in clinical, settings. Here, we highlight use convolutional neural networks analyzing clinical data surface enhanced sensitizing early rapid pathogens safety potential risks. Deep methods can tackle adequate datasets across diverse samples. We pending future research directions needed accelerating real-world impacts ML-enabled diagnostics accurate diagnosis surveillance critical fields.

Language: Английский

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Recent Advances in Surface-Enhanced Raman Scattering for Pathogenic Bacteria Detection: A Review

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1370 - 1370

Published: Feb. 23, 2025

Bacterial infection is one of the common infectious diseases in clinical practice, and research on efficient detection bacteria has attracted much attention recent years. Currently, traditional methods are mainly based cell culturing, microscopic examination, molecular biology techniques, all which have disadvantages complex operation time-consuming. Surface-enhanced Raman spectroscopy (SERS) technology shown prominent advantages bacterial identification because merit high-sensitivity, fast unique fingerprint spectrum. This paper investigates discusses application SERS detection, systematically reviews progress applications, including nano-enhanced dielectric materials SERS, signal amplification labeled molecules, integration with microfluidic technology. Finally, analyzes challenges associated offers insights into future development trends.

Language: Английский

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Key steps for improving bacterial SERS signals in complex samples: Separation, recognition, detection, and analysis

Talanta, Journal Year: 2023, Volume and Issue: 268, P. 125281 - 125281

Published: Oct. 7, 2023

Language: Английский

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The recent advances of high-throughput biosensors for rapid detection of foodborne pathogens

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 176, P. 117736 - 117736

Published: May 1, 2024

Language: Английский

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Magnetic Micromotors with Spiky Gold Nanoshells as SERS Sensors for Thiram and Bacteria Detection

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Abstract Surface‐enhanced Raman scattering (SERS) is widely used in all kinds of detection due to its ultrahigh sensitivity and selectivity. Micromotors, when as SERS sensors, or the so‐called “hotspots on fly”, can combine both controlled mobility sensing capacity, are ideal for versatile situ detection. In this work, mobile sensors successfully fabricated by growing gold nanospikes onto magnetic microsphere surfaces. These micromotors act normal characterized trace thiram, a highly toxic fungicide. The limit reach 0.1 n M , good most other noble metal deposited substrates. With significant gradient forces, separation pathogenic bacteria from bulk solution achieved once these bind with bacterial cells. Manipulated propulsion micromotors, hand, enables them approach contact cells command further acquire spectra under degree contact, capability never seen passive sensors. robotic have demonstrated unique characteristics manipulations along discriminative between species.

Language: Английский

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Surface-enhanced Raman scattering-based strategies for tumor markers detection: A review

Talanta, Journal Year: 2024, Volume and Issue: 280, P. 126717 - 126717

Published: Aug. 15, 2024

Language: Английский

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SERS detection of foodborne pathogens in beverage with Au nanostars

Microchimica Acta, Journal Year: 2023, Volume and Issue: 191(1)

Published: Dec. 13, 2023

Language: Английский

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

Molecules, Journal Year: 2024, Volume and Issue: 29(5), P. 1077 - 1077

Published: Feb. 29, 2024

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

Language: Английский

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SERS-Based Optical Nanobiosensors for the Detection of Alzheimer’s Disease

Biosensors, Journal Year: 2023, Volume and Issue: 13(9), P. 880 - 880

Published: Sept. 11, 2023

Alzheimer’s disease (AD) is a leading cause of dementia, impacting millions worldwide. However, its complex neuropathologic features and heterogeneous pathophysiology present significant challenges for diagnosis treatment. To address the urgent need early AD diagnosis, this review focuses on surface-enhanced Raman scattering (SERS)-based biosensors, leveraging excellent optical properties nanomaterials to enhance detection performance. These highly sensitive noninvasive biosensors offer opportunities biomarker-driven clinical diagnostics precision medicine. The highlights various types SERS-based targeting biomarkers, discussing their potential applications contributions diagnosis. Specific details about targeted biomarkers are provided. Furthermore, future research directions improving marker using SERS sensors outlined.

Language: Английский

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