ReviewAnalytical and bioanalytical chemistry2023
Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends.
Review in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The trial behind it
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Who cites it
22 citing papers in PubMed.
- A shorter path to circumventing the low reproducibility of SERS spectra through variable screening and optimization methodologies.Mikrochimica acta · 2026Article
- A Review of SERS-Based Bacterial Detection from Nanomaterials to Integrated Clinical Platforms.Biosensors · 2026Review
- Gold- or Silver-Nanoparticle SERS Platforms for Plasma-Based Diagnostics and AI-Driven Analysis.Sensors (Basel, Switzerland) · 2026Review
- GA-SVR Optimized Surface-Enhanced Raman Spectroscopy for Rapid Detection of Ciprofloxacin Residues in Chicken Blood.Biosensors · 2026Article
- Recent developments in surface-enhanced Raman spectroscopy-based immuno (apta) assays for cardiac troponin detection: prospects for point-of-care applications.Biophysical reviews · 2026Review
- Advances in the Application of Surface-Enhanced Raman Spectroscopy for Quality Control of Cereal Foods.Foods (Basel, Switzerland) · 2025Review
- SERS-guided photodynamic therapy: pioneering strategies in advanced cancer diagnosis and treatment.Discover nano · 2025Review
- Modern Methods for Detection of Fentanyl and Its Analogues: A Comprehensive Review of Technologies and Applications.Molecules (Basel, Switzerland) · 2025Review
- Gradient Nanostructures and Machine Learning Synergy for Robust Quantitative Surface-Enhanced Raman Scattering.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Direct SERS Detection of Nucleic Acids in the Presence of Spermine: A Unified Nanoparticle Platform Allows for the Elucidation of Surface Adsorption Hierarchies.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025Article
- SERS and Machine Learning-Enabled Liquid Biopsy: A Promising Tool for Early Detection and Recurrence Prediction in Acute Leukemia.ACS omega · 2025Article
- Recent advances in applications of artificial intelligence-assisted Raman spectroscopy in diagnosis of cancers.Frontiers in molecular biosciences · 2025Review
- Advancements in SERS: Revolutionizing Biomedical Analysis and Applications.Nanotheranostics · 2025Review
- MXene-based SERS spectroscopic analysis of exosomes for lung cancer differential diagnosis with deep learning.Biomedical optics express · 2025Article
- Random splicing assisted deep learning for breast cancer cell line classification via Raman spectroscopy.Computational and structural biotechnology journal · 2025Article
- Development of an HPLC-UV method for quantification of posaconazole in low-volume plasma samples: design of experiments and machine learning models.BMC chemistry · 2024Article
- Recent Progress in Nanomaterial-Based Surface-Enhanced Raman Spectroscopy for Food Safety Detection.Nanomaterials (Basel, Switzerland) · 2024Review
- Assessment of unmixing approaches for the quantitation of SERS nanoparticles in highly multiplexed spectral images.Journal of Raman spectroscopy : JRS · 2024Article
- Surface-Enhanced Raman Spectroscopy and Artificial Neural Networks for Detection of MXene Flakes' Surface Terminations.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024Article
- Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy.Biomedicines · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it provides rich chemical information and high sensitivity, being applicable in many scientific fields including medical diagnosis, forensic analysis, food control, and microbiology. Although SERS is often limited by the lack of selectivity in the analysis of samples with complex matrices, the use of multivariate statistics and mathematical tools has been demonstrated to be an efficient strategy to circumvent this issue. Importantly, since the rapid development of artificial intelligence has been promoting the implementation of a wide variety of advanced multivariate methods in SERS, a discussion about the extent of their synergy and possible standardization becomes necessary. This critical review comprises the principles, advantages, and limitations of coupling SERS with chemometrics and machine learning for both qualitative and quantitative analytical applications. Recent advances and trends in combining SERS with uncommonly used but powerful data analysis tools are also discussed. Finally, a section on benchmarking and tips for selecting the suitable chemometric/machine learning method is included. We believe this will help to move SERS from an alternative detection strategy to a general analytical technique for real-life applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.