Application of derivative spectrophotometry in textiles: a review

Abstract

One of the most important analytical techniques in spectral data analysis is derivative spectrophotometry. This technique can increase the signal-to-noise ratio in the qualitative and quantitative analysis of multi-component samples. The appearance of the derivative spectrum, such as height, width and distance between the maximum peaks, changes with the derivative order. Additionally, derivative spectrophotometry has been used to analyse overlapping spectra of multi-component samples, improve the resolution of overlapping peaks and remove the background as noise. Derivative spectrophotometry has been applied to analyse infrared spectra, fluorescence spectra and ultraviolet–visible spectra data. The five most used methods are peak-zero, zero-crossing point, peak-peak-ratio, peak-tangent and ratio of spectra. The concentrations of coloured components in binary and ternary mixtures of dyes were estimated using peak-zero, zero-crossing point, peak-peak-ratio and ratio of spectra derivative spectrophotometry. The derivative method has been used in several scientific fields, such as characterisation of pigments, characterisation of colourants, identification of pigments in artworks, realistic texture reconstruction of an artwork, characterisation of dyes in ancient purple codices, quantitative analysis of mixed pigments, identification of natural polymers and resins in paintings, determination of food dyes, characterisation of paintings, identification of artists' materials, identification of the natural dyes and identification of pigments. The derivative method has also been applied in the textile industry, including fibre identification, prediction of dye concentrations in solution, analysis of dyes in wastewater, analysis of natural dyes and dyeing recipe prediction.