Direct determination of leather dyes by visible reflectance spectroscopy using partial least-squares regression

Blanco, M.; Canals, Trini; Coello, J.; Gené, J.; Iturriaga, H.; Maspoch, S.

doi:10.1016/s0003-2670(00)00976-4

Cited by 15 publications

(7 citation statements)

References 13 publications

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“…Optical fibre spectroscopy experiments have been previously reported for olive oil, lubricant oil and beer [5] [6]. Furthermore, in the textile industry, the concentration of dyes has been assessed using reflectance spectroscopy [7] or by monitoring the dyebath at a single spectral value [8].…”

Section: Motivationmentioning

confidence: 99%

Fiber-optic spectroscopic sensor for reactive dye mixture spectrum synthesis in textile industry

et al. 2009

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A method for the automatic synthesis of the Ultraviolet-Visible-Near Infrared (UV-Vis-NIR) absorption and transmission spectra of dye mixtures based on the absorption characteristics of their individual dyes is proposed in this paper. Multiple Linear Regression models (MLR) of each dye are obtained using a fiber-optic set-up operating in the 200-1100 nm wavelength range. Textile dyes are thick and dense and, consequently, optically opaque. This gives rise to high absorbance values which do not permit the direct comparison of different textile dye spectra for quality assurance purposes. The proposed multivariate method allows to construct a general model adjusted to the number and concentration of the dyes in the mixture. Furthermore, this dye spectrum synthesis can provide the optimum dilution factor needed to compare two different dye mixtures and test their similarity degree. With the proposed system, the obtained spectral correlation coefficients between the measured and synthesized spectra of a dye mixture are greater than 99% for both the transmission and absorption spectra.

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Section: Motivationmentioning

confidence: 99%

Fiber-optic spectroscopic sensor for reactive dye mixture spectrum synthesis in textile industry

et al. 2009

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“…There are several statistical methods used in the calibration processes to analyze mixture spectra such as Classical Least Squares (CLS) and Multiple Linear Regression (MLR) or Inverse Least Squares (ILS), Principal Components Regression (PCR), and Partial Least Squares (PLS). The PCR has an important role in the spectroscopy of mixtures, being useful when some compounds can be identified and quantified in the mixture, whereas others are not (Brereton 2003;Nevado, Flores, Llorena et al 1999;Ló pez-de-Alba et al 1996;Haaland and Thomas 1988;Blanco et al 2000). The objective of this study was to determine the individual and simultaneous concentration of the three reactive dyes Yellow Procion HE4R, Navy Blue Procion HER, and Blue Procion HEGN in a sample of industrial effluent, as well as effluents obtained in laboratory scale through UV-Vis spectrophotometry combined with a multivariate calibration model of the PCR.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Textile Dyes in Industrial Effluent Using UV-Vis Spectrophotometry Combined with Principal Components Regression

Barreto

Scarmínio

et al. 2010

Analytical Letters

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UV-Vis spectrophotometry and multivariate calibration model, Principal Components Regression (PCR), were used for individual and simultaneous quantification of ternary mixtures of reactive dyes (Yellow Procion HE4R, Navy Blue Procion HER, and Blue Procion HEGN) in a sample of industrial effluent and effluents obtained in the laboratory. A Centroid-Simplex-type experimental design was used. The percentages of the dyes Yellow Procion HE4R, Navy Blue Procion HER, and Blue Procion HEGN not fixed to the fiber in the industrial dyeing process and laboratory scale were 47.40%, 10.99%, 24.72% and 4.20%, 46.06%, 32.04%, respectively.

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“…Optical fiber spectroscopy experiments have been previously reported for olive oil, lubricant oil and beer [3]. Furthermore, in the textile industry, the concentration of dyes has been assessed using reflectance spectroscopy [4] or by monitoring the dyebath at a single spectral value [5].…”

Section: Introductionmentioning

confidence: 99%

Quality Assurance in Textile Industry using a Fiber-Optic Spectroscopy Sensor

Conde

Cubillas

Anuarbe

et al. 2010

Advanced Photonics &Amp; Renewable Energy

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An extrinsic optical fiber sensor method for color matching assessment of textile dyes using their Ultraviolet-Visible-Near Infrared (UV-Vis-NIR) transmission spectra is proposed in this paper. Spectra values are converted to CIELAB coordinates to improve the calculation of color differences. Color matching assessment is finally performed using Receiver Operating Characteristic (ROC) curves to find the optimum discrimination threshold between different dye samples.

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Direct determination of leather dyes by visible reflectance spectroscopy using partial least-squares regression

Cited by 15 publications

References 13 publications

Fiber-optic spectroscopic sensor for reactive dye mixture spectrum synthesis in textile industry

Fiber-optic spectroscopic sensor for reactive dye mixture spectrum synthesis in textile industry

Quantification of Textile Dyes in Industrial Effluent Using UV-Vis Spectrophotometry Combined with Principal Components Regression

Quality Assurance in Textile Industry using a Fiber-Optic Spectroscopy Sensor

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