Quantitative Analysis of Simulated Illicit Street-Drug Samples Using Raman Spectroscopy and Partial Least Squares Regression

Spectroscopy Letters ◽

10.1080/00387010.2010.525285 ◽

2011 ◽

Vol 44 (4) ◽

pp. 229-234 ◽

Author(s):

Owen S. Fenton ◽

Lindsey A. Tonge ◽

Taylor H. Moot ◽

Kimberley A. Frederick

Keyword(s):

Raman Spectroscopy ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression

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Quantitative Analysis of Entacapone Isomers Using Surface-Enhanced Raman Spectroscopy and Partial Least Squares Regression

Applied Spectroscopy ◽

10.1366/12-06752 ◽

2012 ◽

Vol 66 (12) ◽

pp. 1468-1474 ◽

Author(s):

Marina Ratkaj ◽

Tomislav Biljan ◽

Snežana Miljanić

Keyword(s):

Raman Spectroscopy ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Surface Enhanced Raman Spectroscopy ◽

Least Squares Regression ◽

Surface Enhanced ◽

Surface Enhanced Raman

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Quantitative analysis of mixed hydrofluoric and nitric acids using Raman spectroscopy with partial least squares regression

Talanta ◽

10.1016/j.talanta.2010.02.045 ◽

2010 ◽

Vol 81 (4-5) ◽

pp. 1413-1417 ◽

Author(s):

Gumin Kang ◽

Kwangchil Lee ◽

Haesung Park ◽

Jinho Lee ◽

Youngjean Jung ◽

...

Keyword(s):

Raman Spectroscopy ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression

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Development of Nondestructive Detection Method for Adulterated Powder Products Using Raman Spectroscopy and Partial Least Squares Regression

Journal of the Korean Society for Nondestructive Testing ◽

10.7779/jksnt.2014.34.4.283 ◽

2014 ◽

Vol 34 (4) ◽

pp. 283-289 ◽

Author(s):

Sangdae Lee ◽

Santosh Lohumi ◽

Byoung-Kwan Cho ◽

Moon S. Kim ◽

Soo-Hee Lee

Keyword(s):

Raman Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Detection Method ◽

Least Squares Regression ◽

Nondestructive Detection

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Hyperspectral characteristics and quantitative analysis of leaf chlorophyll by reflectance spectroscopy based on a genetic algorithm in combination with partial least squares regression

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2020.118786 ◽

2020 ◽

Vol 243 ◽

pp. 118786

Author(s):

Xiaowan Chen ◽

Zhenyu Dong ◽

Jinbao Liu ◽

Huanyuan Wang ◽

Yang Zhang ◽

...

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Reflectance Spectroscopy ◽

Least Squares Regression ◽

Leaf Chlorophyll

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An approach for in situ qualitative and quantitative analysis of moisture adsorption in nanogram-scaled lignin by using micro-FTIR spectroscopy and partial least squares regression

International Journal of Biological Macromolecules ◽

10.1016/j.ijbiomac.2019.04.043 ◽

2019 ◽

Vol 132 ◽

pp. 1106-1111 ◽

Author(s):

Teng Xiao ◽

Hanmeng Yuan ◽

Qiang Ma ◽

Xin Guo ◽

Yiqiang Wu

Keyword(s):

Quantitative Analysis ◽

Ftir Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression ◽

Qualitative And Quantitative Analysis ◽

Moisture Adsorption ◽

Qualitative And Quantitative

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Near Infrared Quantitative Analysis of Total Curcuminoids in Rhizomes of Curcuma Longa by Moving Window Partial Least Squares Regression

Journal of Near Infrared Spectroscopy ◽

10.1255/jnirs.891 ◽

2010 ◽

Vol 18 (4) ◽

pp. 263-269 ◽

Author(s):

Sumaporn Kasemsumran ◽

Vichien Keeratinijakal ◽

Warunee Thanapase ◽

Yukihiro Ozaki

Keyword(s):

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Curcuma Longa ◽

Moving Window ◽

Least Squares Regression

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Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton–viscose textiles

Analytica Chimica Acta ◽

10.1016/j.aca.2007.03.024 ◽

2007 ◽

Vol 595 (1-2) ◽

pp. 72-79 ◽

Author(s):

A. Durand ◽

O. Devos ◽

C. Ruckebusch ◽

J.P. Huvenne

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Mutual Information ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Selection Procedures

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Probabilistic partial least squares regression for quantitative analysis of Raman spectra

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2015.066768 ◽

2015 ◽

Vol 11 (2) ◽

pp. 223 ◽

Author(s):

Shuo Li ◽

James O. Nyagilo ◽

Digant P. Dave ◽

Wei Wang ◽

Baoju Zhang ◽

...

Keyword(s):

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Raman Spectra ◽

Partial Least Squares Regression ◽

Least Squares Regression

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High and low frequency unfolded partial least squares regression based on empirical mode decomposition for quantitative analysis of fuel oil samples

Analytica Chimica Acta ◽

10.1016/j.aca.2016.04.029 ◽

2016 ◽

Vol 925 ◽

pp. 16-22 ◽

Author(s):

Xihui Bian ◽

Shujuan Li ◽

Ligang Lin ◽

Xiaoyao Tan ◽

Qingjie Fan ◽

...

Keyword(s):

Quantitative Analysis ◽

Least Squares ◽

Partial Least Squares ◽

Empirical Mode Decomposition ◽

Partial Least Squares Regression ◽

Low Frequency ◽

Fuel Oil ◽

Least Squares Regression ◽

Mode Decomposition

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Genetic Algorithm Interval Partial Least Squares Regression Combined Successive Projections Algorithm for Variable Selection in Near-Infrared Quantitative Analysis of Pigment in Cucumber Leaves

Applied Spectroscopy ◽

10.1366/000370210791666246 ◽

2010 ◽

Vol 64 (7) ◽

pp. 786-794 ◽

Author(s):

Zou Xiaobo ◽

Zhao Jiewen ◽

Mao Hanpin ◽

Shi Jiyong ◽

Yin Xiaopin ◽

...

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Successive Projections Algorithm ◽

Successive Projections

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