3D-QSPR method of computational technique applied on red reactive dyes by using CoMFA strategy

Area of Science:

• Materials Science
• Computational Chemistry
• Textile Chemistry

Background:

• Cellulose fiber is a key natural resource in the textile industry.
• Reactive dyes are widely used for cellulose printing due to their excellent fastness and color properties.
• Understanding dye-fiber interactions is crucial for optimizing dyeing processes.

Purpose of the Study:

• To investigate the interaction mechanism between red reactive dyes and cellulose fibers.
• To develop a predictive model for dye-fiber binding affinity using computational methods.
• To guide the design of novel reactive dyes with enhanced cellulose affinity.

Main Methods:

• Application of three-dimensional quantitative structure-property relationship (3D-QSPR) technique.
• Utilizing Comparative Molecular Field Analysis (CoMFA) for molecular modeling.
• Analysis of graphical contour maps to correlate structural features with absorptivity.

Main Results:

• A reliable predictive model for red reactive dye-cellulose interaction was successfully developed.
• The model demonstrated satisfactory statistical performance.
• Contour maps provided insights into structural modifications influencing dye absorptivity.

Conclusions:

• The developed 3D-QSPR/CoMFA model effectively predicts reactive dye-cellulose interactions.
• The study provides a framework for designing new reactive dyes with improved affinity and selectivity for cellulose.
• This research contributes to the advancement of textile dyeing technologies.