傅里叶变换红外光谱
化学
傅里叶变换
红外线的
甲醇
光谱学
红外光谱学
小波变换
傅里叶变换光谱学
主成分分析
连续小波变换
分析化学(期刊)
离散小波变换
谐波小波变换
模式识别(心理学)
小波
人工智能
色谱法
计算机科学
光学
数学
物理
有机化学
量子力学
数学分析
作者
Da Chen,Zong Tan,Zhenfei Huang,Yue Lv,Qifeng Li
标识
DOI:10.1080/00387010.2019.1609045
摘要
Fake liquors have caused severe body injuries or even deaths worldwide, rapid detection of such lethal drinks is thus quite necessary. Methanol has been identified as a primary cause of the problem, so methanol monitoring is critical to the detection of fake liquors. The present work provides an effective strategy for rapid detection of different lethal fake liquors. Using gas-phase Fourier transform infrared spectroscopy in a digitally labeled approach, the spectral bands of methanol were extracted by the iterative discrete wavelet transform for classification, which is named as digitally labeled gas-phase Fourier transform infrared spectroscopy. In digitally labeled gas-phase Fourier transform infrared spectroscopy, principal component analysis and least square support vector machine were combined to discriminate problematic samples using the iterative discrete wavelet transform filtered signals. As a result, the method could cleverly extract spectral features of methanol from the alcoholic drinks in the presence of uncontrolled matrix effects. The recognition accuracy was higher than 97.0%, and each measurement was done within 3 min. The results illustrate that the digitally labeled gas-phase Fourier transform infrared spectroscopy method serves well to rapidly discriminate fake liquors as an efficient and promising tool, and could be well extended to detection of any other targeted volatile substance in complicated systems.
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