A practical approach for near infrared spectral quantitative analysis of complex samples using partial least squares modeling

Science in China, Series B: Chemistry

Volumn 52, Issue 7, 2009, Pages 1021-1027

  Liu, Zhichao ^a   Ma, Xiang ^b   Wen, Yadong ^b   Wang, Yi ^b   Cai, Wensheng ^a   Shao, Xueguang ^a  

^a NANKAI UNIVERSITY   (China)

^b Hongta Group   (China)

Author keywords

Cross validation (CV); Near infrared (NIR) spectroscopy; Number of latent variables; Partial least squares (PLS) regression; Tobacco lamina

Indexed keywords

COMPLEX SAMPLES; CROSS VALIDATION (CV); DATA SETS; HIGH ORDER; KEY PARAMETERS; LATENT VARIABLE; LOW ORDER; NEAR INFRARED; NEAR INFRARED SPECTRA; NEAR-INFRARED (NIR) SPECTROSCOPY; NIR SPECTRAL ANALYSIS; NIR SPECTRUM; NUMBER OF LATENT VARIABLES; PARTIAL LEAST SQUARES; PARTIAL LEAST SQUARES (PLS) REGRESSION; PLS MODELS; PRACTICAL USE; PUBLIC DATA; QUANTITATIVE ANALYSIS;

INFRARED SPECTROSCOPY; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; TOBACCO;

INFRARED DEVICES;

EID: 67650214895     PISSN: 10069291     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11426-009-0110-3     Document Type: Article

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