Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/22005
Title: Simultaneous UV-vis spectrophotometric determination of disperse dyes in textile wastewater by partial least squares and principal component regression
Authors: Uludağ Üniversitesi/Fen Edebiyat Fakültesi/Kimya Bölümü.
0000-0003-0610-2019
0000-0002-9381-0410
0000-0003-1508-0181
Şahin, Saliha
Demir, Cevdet
Gücer, Şeref
AAH-2892-2021
ABA-2005-2020
15027401600
7003565902
36849130600
Keywords: Disperse dyes
HPLC
PCR
PLS
UV-vis spectroscopy
Wastewater
Dyeing
Principal component regression
Dyes
Chemical oxygen demand
Chromatography
Disperse dyes
Partial least squares
High performance
Polyester fabric
Spectrophotometry
Principal component analysis
Regression analysis
High performance liquid chromatography
Least squares approximations
Synthetic textile fibers
Ultraviolet spectrophotometers
Wastewater
Sulfonated azo dyes
Performance liquid-chromatography
Capillary-zone-electrophoresis
Tandem mass-spectrometry
Diode-array detection
Multivariate calibration
Photocatalytic degradation
Products
Identification
Suspensions
Issue Date: 2007
Publisher: Elsevier Science
Citation: Şahin, S. vd. (2007). "Simultaneous UV-vis spectrophotometric determination of disperse dyes in textile wastewater by partial least squares and principal component regression". Dyes and Pigments, 73(3), 368-376.
Abstract: The wastewater samples, which were obtained from three different ways (with polyester fabric, without polyester fabric and synthetic wastewater), were used for COD and TOC measurements. The values of the COD and TOC in wastewater from disperse dyeing with polyester fabric were lower than the wastewater from disperse dyeing without polyester fabric and synthetic wastewater showing that the dyes in dye-bath were mostly bounded to the fabrics. Quantification of disperse dyes was performed by HPLC, as a selective method after pre-concentration using SPE procedure. The use of multivariate calibration for estimating the concentration of dye mixtures by UV-vis spectrophotometry, as illustrated by C.I. Disperse Blue 79, C.I. Disperse Blue 183, C.I. Disperse Red 82, C.I. Disperse Red 65, C.I. Disperse Yellow 211 and C.I. Disperse Orange 25, recorded at five concentration levels, is described. The importance of calibration design was investigated by calculating the prediction and validation errors and by graphical representation of loadings. The influences of using independent validation sets were emphasized. Calibration design is shown to have major effect on PCR and PLS errors.
URI: https://doi.org/10.1016/j.dyepig.2006.01.045
https://www.sciencedirect.com/science/article/pii/S0143720806000337
http://hdl.handle.net/11452/22005
ISSN: 01437208
Appears in Collections:Scopus
Web of Science

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