Partial Least Squares Processing of Near‐Infrared Spectra for Discrimination and Quantification of Adulterated Olive Oils

2005 ◽  
Vol 38 (6) ◽  
pp. 839-851 ◽  
Author(s):  
Sumaporn Kasemsumran ◽  
Naroo Kang ◽  
Alfred Christy ◽  
Yukihiro Ozaki
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Olive Oils ◽  
Near Infrared Spectra

An improved ensemble partial least squares for analysis of near-infrared spectra

Talanta ◽  
2012 ◽  
Vol 94 ◽  
pp. 301-307 ◽  
Author(s):  
Yong Hu ◽  
Silong Peng ◽  
Jiangtao Peng ◽  
Jiping Wei
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra

Dual stacked partial least squares for analysis of near-infrared spectra

2013 ◽  
Vol 792 ◽  
pp. 19-27 ◽  
Author(s):  
Yiming Bi ◽  
Qiong Xie ◽  
Silong Peng ◽  
Liang Tang ◽  
Yong Hu ◽  
...  
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra

Mid-Infrared Spectra from Near-Infrared Spectra Using Partial Least-Squares

1993 ◽  
Vol 47 (11) ◽  
pp. 1747-1750 ◽  
Author(s):  
Raymond Lew ◽  
Stephen T. Balke
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Absorbance Spectrum ◽  
Mid Infrared ◽  
Near Infrared Spectra ◽  
Mir Spectra ◽  
Evaluation Work ◽  
Pls Method

In this novel application of a multivariate method, partial least-squares (PLS) was used to generate mid-infrared (MIR) spectra (rather than selected concentrations) from near-infrared (NIR) spectra. The NIR spectra were obtained by in-line monitoring of a molten polymer blend of polyethylene with polypropylene during extrusion. Off-line MIR spectra of blends were used to calibrate the PLS method. Then PLS was used to generate the MIR absorbance spectrum of a 50:50-by-weight blend not included in the calibration set from its NIR spectrum. The synthesized MIR spectrum agreed very well with a directly measured one. The exception was absorbance peaks which were so strong that they apparently represented responses that were nonlinear with respect to concentration. Although more evaluation work has yet to be done, these results are encouraging, and they indicate that NIR interpretation may readily borrow the strengths of MIR interpretation both qualitatively and quantitatively.

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