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Surface‐enhanced Raman scattering integrating with machine learning for green tea storage time identification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bio.2373openalex-snapshot
A chemiluminescence sensor array based on nanomaterials for discrimination of teas
inferredcites →https://doi.org/10.1002/bio.2821openalex-snapshot
SERS quantitative detection of trace human chorionic gonadotropin using a label‐free Victoria blue B as probe in the aggregated immunonanogold sol substrate
inferredcites →https://doi.org/10.1002/bio.3730openalex-snapshot
Sensitive chemical sensor array based on nanozymes for discrimination of metal ions and teas
inferredcites →https://doi.org/10.1002/bio.3796openalex-snapshot
Surface‐enhanced Raman spectroscopy for on‐site analysis: A review of recent developments
inferredcites →https://doi.org/10.1002/bio.4268openalex-snapshot
Boosting bacteria differentiation efficiency with multidimensional surface‐enhanced Raman scattering: the example of Bacillus cereus
inferredcites →https://doi.org/10.1002/jrs.1695openalex-snapshot
Raman and surface‐enhanced Raman spectra of flavone and several hydroxy derivatives
inferredcites →https://doi.org/10.1002/jrs.4331openalex-snapshot
The effect of the pH on the interaction of L‐arginine with colloidal silver nanoparticles. A Raman and SERS study
inferredcites →https://doi.org/10.1007/s002160000661openalex-snapshot
LC-MS/MS signal suppression effects in the analysis of pesticides in complex environmental matrices
inferredcites →https://doi.org/10.1007/s00604-017-2662-9openalex-snapshot
A SERS method with attomolar sensitivity: a case study with the flavonoid catechin
inferredcites →https://doi.org/10.1016/j.bios.2016.10.070openalex-snapshot
A SERS nano-tag-based fiber-optic strategy for in situ immunoassay in unprocessed whole blood
inferredcites →https://doi.org/10.1016/j.foodchem.2016.09.051openalex-snapshot
Determination of trace thiophanate-methyl and its metabolite carbendazim with teratogenic risk in red bell pepper (Capsicumannuum L.) by surface-enhanced Raman imaging technique
inferredcites →https://doi.org/10.1016/j.jfca.2021.104267openalex-snapshot
Discrimination and polyphenol compositions of green teas with seasonal variations based on UPLC-QTOF/MS combined with chemometrics
inferredcites →https://doi.org/10.1016/j.molstruc.2010.03.085openalex-snapshot
Spectroscopic study of surface enhanced Raman scattering of caffeine on borohydride-reduced silver colloids
inferredcites →https://doi.org/10.1016/j.snb.2016.03.045openalex-snapshot
Fabrication of flower-like silver nanostructures for rapid detection of caffeine using surface enhanced Raman spectroscopy
inferredcites →https://doi.org/10.1016/j.talanta.2014.04.044openalex-snapshot
Electronic nose and chiral-capillary electrophoresis in evaluation of the quality changes in commercial green tea leaves during a long-term storage
inferredcites →https://doi.org/10.1016/j.trac.2007.02.002openalex-snapshot
Using restricted-access materials and column switching in high-performance liquid chromatography for direct analysis of biologically-active compounds in complex matrices
inferredcites →https://doi.org/10.1021/acs.analchem.1c03202openalex-snapshot
Assessing Reliability of Non-targeted High-Resolution Mass Spectrometry Fingerprints for Quantitative Source Apportionment in Complex Matrices
inferredcites →https://doi.org/10.1021/acs.analchem.5b01550openalex-snapshot
High-Throughput and Rapid Screening of Low-Mass Hazardous Compounds in Complex Samples
inferredcites →https://doi.org/10.1021/acs.analchem.7b00521openalex-snapshot
Portable and Reliable Surface-Enhanced Raman Scattering Silicon Chip for Signal-On Detection of Trace Trinitrotoluene Explosive in Real Systems
inferredcites →https://doi.org/10.1021/acs.nanolett.1c00416openalex-snapshot
Surface-Enhanced Raman Scattering (SERS) Taster: A Machine-Learning-Driven Multireceptor Platform for Multiplex Profiling of Wine Flavors
inferredcites →https://doi.org/10.1021/acsfoodscitech.2c00091openalex-snapshot
Multidimensional Surface-Enhanced Raman Scattering (SERS) Strategy for Tea Differentiation
inferredcites →https://doi.org/10.1021/am507424vopenalex-snapshot
Fabrication of SERS Swab for Direct Detection of Trace Explosives in Fingerprints
inferredcites →https://doi.org/10.1038/s41467-019-13615-2openalex-snapshot
Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting
inferredcites →https://doi.org/10.1039/b708459popenalex-snapshot
SERS—a single-molecule and nanoscale tool for bioanalytics
inferredcites →https://doi.org/10.1073/pnas.1518980113openalex-snapshot
Ultrasensitive surface-enhanced Raman scattering detection in common fluids
inferredcites →https://doi.org/10.1080/00032719.2019.1710524openalex-snapshot
Classification of Sulfadimidine and Sulfapyridine in Duck Meat by Surface Enhanced Raman Spectroscopy Combined with Principal Component Analysis and Support Vector Machine
inferredcites →https://doi.org/10.1080/00032719.2022.2098313openalex-snapshot
Detection of Ofloxacin and Norfloxacin in Duck Meat Using Surface-Enhanced Raman Spectroscopy (SERS) Coupled with Multivariate Analysis
inferredcites →https://doi.org/10.1111/ijfs.14387openalex-snapshot
Investigating volatile compounds’ contributions to the stale odour of green tea
inferredcites →https://doi.org/10.1111/j.1750-3841.2008.01033.xopenalex-snapshot
Stability of Green Tea Catechins in Commercial Tea Leaves during Storage for 6 Months
inferredcites →https://doi.org/10.1364/sensors.2019.stu4d.5openalex-snapshot
Broadband Infrared Gas Spectroscopy Using Quantum Cascade Laser Arrays
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00500-025-10538-7openalex-snapshot
Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches
inferred← citeshttps://doi.org/10.1007/s41664-026-00481-3openalex-snapshot
Charge-Regulated Surface-Enhanced Raman Spectroscopy (SERS) Fingerprints Combined with Data Fusion for Source Identification of Domestic Wastewater under Environmental Dilution
inferred← citeshttps://doi.org/10.1016/j.bios.2024.116056openalex-snapshot
A sensor array based on a nanozyme with polyphenol oxidase activity for the identification of tea polyphenols and Chinese green tea
inferred← citeshttps://doi.org/10.1016/j.foodchem.2026.148106openalex-snapshot
Smart evaluation of tea quality: machine learning-assisted SERS for white tea vintage authentication and grade classification
inferred← citeshttps://doi.org/10.1016/j.foodcont.2026.112555openalex-snapshot
Authentication and traceability of tea as a high-risk product: A comprehensive review of spectroscopic and chemometric solutions
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2024.136584openalex-snapshot
Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products
inferred← citeshttps://doi.org/10.1016/j.optlastec.2025.113756openalex-snapshot
Biomimetic SERS platform with machine learning for sensitive detection of pesticides in complex food matrices
inferred← citeshttps://doi.org/10.1016/j.snb.2026.139910openalex-snapshot
Identification of six major teas using a paper-based colorimetric sensor array decorated with five types of fluorescent carbon dots
inferred← citeshttps://doi.org/10.1016/j.tifs.2023.104172openalex-snapshot
Tea storage: A not thoroughly recognized and precisely designed process
inferred← citeshttps://doi.org/10.1016/j.trac.2024.117974openalex-snapshot
Advances in machine learning-assisted SERS sensing towards food safety and biomedical analysis
inferred← citeshttps://doi.org/10.1021/acs.analchem.6c02254openalex-snapshot
Complex Matrix Analysis via SERS: Synergizing Versatile Substrates, Simplified Pretreatment Strategies, and AI-Driven Detection
inferred← citeshttps://doi.org/10.1021/acsestwater.3c00441openalex-snapshot
Fingerprinting and Differentiation of Landfill Leachate and Domestic Sewage in Surface Water with Machine Learning Based Surface Enhanced Raman Spectroscopy
inferred← citeshttps://doi.org/10.36899/japs.2025.4.0077openalex-snapshot
DETECTING ADULTERANTS IN TEA USING MID-INFRARED SPECTROSCOPY: A COMPARATIVE STUDY OF DEEP LEARNING AND MACHINE LEARNING
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