Analytical Chemistry
集成GC–MS、LC–MS/MS和FTIR深度学习分析
Integrated GC–MS, LC–MS/MS and FTIR–deep-learning analysisA multi-modal analytical workflow combining Gas Chromatography-Mass Spectrometry (GC–MS), Liquid Chromatography-Tandem Mass Spectrometry (LC–MS/MS), and Fourier Transform Infrared Spectroscopy (FTIR) with deep learning algorithms for rapid chemical differentiation and species discrimination. / 一种结合气相色谱-质谱联用(GC–MS)、液相色谱-串联质谱联用(LC–MS/MS)和傅里叶变换红外光谱(FTIR)与深度学习算法的多模态分析工作流程，用于快速化学区分和物种鉴别。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-23 16:01:51
Sub-knowledge points
Chemical fingerprinting using GC–MSTargeted metabolite analysis using LC–MS/MSSpectral data processing using FTIRMultimodal data fusion for species discrimination
Higher-order knowledge points
Chemical differentiationRapid discriminationMushroom species identification
Main parameters and performance indicators
GC–MS: Gas Chromatography-Mass SpectrometryLC–MS/MS: Liquid Chromatography-Tandem Mass SpectrometryFTIR: Fourier Transform Infrared SpectroscopyDeep Learning: Neural network-based pattern recognition
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsIntegrated GC–MS, LC–MS/MS and FTIR–deep-learning analysis for chemical differentiation and rapid discrimination of four porcini mushroom speciesOpen source
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Creation and modification trail
1 recordsRecord title: Integrated GC–MS, LC–MS/MS and FTIR–deep-learning analysis.
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