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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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