TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Knoblich, Mona
A1  - Al Ktash, Mohammad
A1  - Wackenhut, Frank
A1  - Jehle, Volker
A1  - Ostertag, Edwin
A1  - Brecht, Marc
T1  - Applying UV hyperspectral imaging for the quantification of honeydew content on raw cotton via PCA and PLS-R models
JF  - Textiles
N2  - Cotton contamination by honeydew is considered one of the significant problems for quality in textiles as it causes stickiness during manufacturing. Therefore, millions of dollars in losses are attributed to honeydew contamination each year. This work presents the use of UV hyperspectral imaging (225–300 nm) to characterize honeydew contamination on raw cotton samples. As reference samples, cotton samples were soaked in solutions containing sugar and proteins at different concentrations to mimic honeydew. Multivariate techniques such as a principal component analysis (PCA) and partial least squares regression (PLS-R) were used to predict and classify the amount of honeydew at each pixel of a hyperspectral image of raw cotton samples. The results show that the PCA model was able to differentiate cotton samples based on their sugar concentrations. The first two principal components (PCs) explain nearly 91.0% of the total variance. A PLS-R model was built, showing a performance with a coefficient of determination for the validation (R2cv) = 0.91 and root mean square error of cross-validation (RMSECV) = 0.036 g. This PLS-R model was able to predict the honeydew content in grams on raw cotton samples for each pixel. In conclusion, UV hyperspectral imaging, in combination with multivariate data analysis, shows high potential for quality control in textiles.
KW  - UV hyperspectral imaging
KW  - pushbroom
KW  - cotton
KW  - honeydew
KW  - sugar
KW  - principal component analysis (PCA)
KW  - partial least squares regression (PLS-R)
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-46379
SN  - 2673-7248
SS  - 2673-7248
U6  - https://doi.org/10.3390/textiles3030019
DO  - https://doi.org/10.3390/textiles3030019
VL  - 3
IS  - 3
SP  - 287
EP  - 293
S1  - 7
PB  - MDPI
CY  - Basel
ER  -