Resonance Raman and UV–visible spectroscopy of black dyes on textiles

Real-time monitoring of multicomponent reactive dye adsorption on cotton fabrics by Raman spectroscopy

Accurate real-time determination of each dye in combination dyeing is critical to the control of dyeing process, which plays an important role in upgrading the dyeing techniques of textile. In this work, Raman spectroscopy was applied to dyeing baths containing multiple dye species of varying structures to quantitatively monitor the dyeing process of each individual dye. Quantitative models were successfully established by partial least squares (PLS) for all combinations of the nine commonly used reactive dyes studied. The correlation coefficients were greater than 0.99, the root mean squared errors of calibration (RMSEC) were less than 0.2650 and the root mean squared errors of prediction (RMSEP) were less than 0.1340, even for the three-component mixture of Reactive Red 239 (RR239), Reactive Yellow 176 (RY176) and Reactive Blue 194 (RB194), which are similar in structures. The model was shown to be valid in the presence of added electrolytes (sodium sulfates). Real-time adsorption monitoring based on the model revealed that the dyes interacted with one another and competed for active sites. The adsorption kinetics obtained by Raman analysis shed light on dye compatibility and could be used to guide the design of dyeing recipe and dyeing process for optimum color reproduction. In addition, in situ monitoring by Raman spectroscopy maybe integrated with real-time on line control of dyeing parameters for fully automated production of dyed fabrics.

Rapid, nondestructive denim fiber bundle characterization using luminescence hyperspectral image analysis

An investigation into the performance of luminescence-based hyperspectral imaging (LHSI) for denim fiber bundle discrimination has been conducted. We also explore the potential of nitromethane (CH3NO2) -based quenching to improve discrimination, and we determine the quenching mechanism. The luminescence spectra (450-850 nm) and images from the denim fiber bundles were obtained with excitation at 325 or 405 nm. LHSI data were recorded in less than 5 s and subsequently assessed by principal component analysis or rendered as red, green, blue (RGB) component histograms. The results show that LHSI data can be used to rapidly and uniquely discriminate between all the fiber bundle types studied in this research. These non-destructive techniques eliminate extensive sample preparation and allow for rapid hyperspectral image collection, analysis, and assessment. The quenching data also revealed that the dye molecules within the individual fiber bundles exhibit dramatically different accessibilities to CH3NO2.

Fibre optic sensors for selected wastewater characteristics

Demand for online and real-time measurements techniques to meet environmental regulation and treatment compliance are increasing. However the conventional techniques, which involve scheduled sampling and chemical analysis can be expensive and time consuming. Therefore cheaper and faster alternatives to monitor wastewater characteristics are required as alternatives to conventional methods. This paper reviews existing conventional techniques and optical and fibre optic sensors to determine selected wastewater characteristics which are colour, Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD). The review confirms that with appropriate configuration, calibration and fibre features the parameters can be determined with accuracy comparable to conventional method. With more research in this area, the potential for using FOS for online and real-time measurement of more wastewater parameters for various types of industrial effluent are promising.