近红外光谱同时测定白酒中总酯和杂醇油

[1] 近红外光谱法测定柴油硫含量方法研究(英文) [J]. 化学研究与应用, 2013, 25 (03) : 355 - 358

[2] Simultaneous detection of total antioxidant capacity and total soluble solids content by Fourier transform near-infrared (FT-NIR) spectroscopy: a quick and sensitive method for on-site analyses of apples[J] . Matthias Schmutzler,Christian W. Huck.Food Control . 2016

[3] Classification of Liquor Using Near-Infrared Spectroscopy and Chemometrics [J]. ANALYTICAL LETTERS, 2015, 48 (02) : 291 - 300

[4] A multi-model fusion strategy for multivariate calibration using near and mid-infrared spectra of samples from brewing industry[J] . Chao Tan,Hui Chen,Chao Wang,Wanping Zhu,Tong Wu,Yuanbo Diao.Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy . 2013

[5] Short-wave near infrared spectrometry of back scattering and transmission of light by milk for multi-component analysis [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2013, 21 (01) : 35 - 41

[6] Characterisation of heavy oils using near-infrared spectroscopy: Optimisation of pre-processing methods and variable selection[J] . Analytica Chimica Acta . 2011 (1)

[7] Characterization of wines using compositional profiles and chemometrics [J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2010, 29 (03) : 234 - 245

[8] Multiblock partial least squares regression based on wavelet transform for quantitative analysis of near infrared spectra[J] . Ming Jing,Wensheng Cai,Xueguang Shao.Chemometrics and Intelligent Laboratory Systems . 2009 (1)

[9] A method for calibration and validation subset partitioning [J]. TALANTA, 2005, 67 (04) : 736 - 740

[10] Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions[J] . J. Chemometrics . 2005 (11)

[1] 近红外光谱法测定柴油硫含量方法研究(英文) [J]. 化学研究与应用, 2013, 25 (03) : 355 - 358

[2] Simultaneous detection of total antioxidant capacity and total soluble solids content by Fourier transform near-infrared (FT-NIR) spectroscopy: a quick and sensitive method for on-site analyses of apples[J] . Matthias Schmutzler,Christian W. Huck.Food Control . 2016

[3] Classification of Liquor Using Near-Infrared Spectroscopy and Chemometrics [J]. ANALYTICAL LETTERS, 2015, 48 (02) : 291 - 300

[4] A multi-model fusion strategy for multivariate calibration using near and mid-infrared spectra of samples from brewing industry[J] . Chao Tan,Hui Chen,Chao Wang,Wanping Zhu,Tong Wu,Yuanbo Diao.Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy . 2013

[5] Short-wave near infrared spectrometry of back scattering and transmission of light by milk for multi-component analysis [J]. JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2013, 21 (01) : 35 - 41

[6] Characterisation of heavy oils using near-infrared spectroscopy: Optimisation of pre-processing methods and variable selection[J] . Analytica Chimica Acta . 2011 (1)

[7] Characterization of wines using compositional profiles and chemometrics [J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2010, 29 (03) : 234 - 245

[8] Multiblock partial least squares regression based on wavelet transform for quantitative analysis of near infrared spectra[J] . Ming Jing,Wensheng Cai,Xueguang Shao.Chemometrics and Intelligent Laboratory Systems . 2009 (1)

[9] A method for calibration and validation subset partitioning [J]. TALANTA, 2005, 67 (04) : 736 - 740

[10] Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions[J] . J. Chemometrics . 2005 (11)