Classification of pre-dyed textile fibers exposed to weathering and photodegradation by non-destructive excitation-emission fluorescence spectroscopy paired with discriminant unfolded-partial least squares

2019 ◽  
Vol 12 ◽  
pp. 25-32 ◽  
Author(s):  
Nirvani Mujumdar ◽  
Arsenio Muñoz de la Peña ◽  
Andres D. Campiglia
2020 ◽  
Vol 38 (No. 2) ◽  
pp. 131-136
Author(s):  
Wojciech Poćwiardowski ◽  
Joanna Szulc ◽  
Grażyna Gozdecka

The aim of the study was to elaborate a universal calibration for the near infrared (NIR) spectrophotometer to determine the moisture of various kinds of vegetable seeds. The research was conducted on the seeds of 5 types of vegetables – carrot, parsley, lettuce, radish and beetroot. For the spectra correlation with moisture values, the method of partial least squares regression (PLS) was used. The resulting qualitative indicators of a calibration model (R = 0.9968, Q = 0.8904) confirmed an excellent fit of the obtained calibration to the experimental data. As a result of the study, the possibilities of creating a calibration model for NIR spectrophotometer for non-destructive moisture analysis of various kinds of vegetable seeds was confirmed.<br /><br />


2015 ◽  
Vol 7 (11) ◽  
pp. 4535-4540 ◽  
Author(s):  
Long Jiao ◽  
Shan Bing ◽  
Xiaofeng Zhang ◽  
Yunxia Wang ◽  
Hua Li

A method which combines backward interval partial least squares and fluorescence spectroscopy was proposed to determine the enantiomeric composition of tryptophan.


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