Cross-Linked Starch as Media for Crystal Violet Elimination from Water: Modeling Batch Adsorption with Fuzzy...

Area of Science:

• Environmental Chemistry
• Materials Science
• Water Treatment Technologies

Background:

• Pollution from dyes like crystal violet (CV) poses environmental risks.
• Biodegradable and accessible sorbents are needed for cost-effective water purification.
• Starch-based materials offer a sustainable alternative for pollutant removal.

Purpose of the Study:

• To investigate the use of chemically modified potato starch for crystal violet dye removal from water.
• To optimize adsorption conditions using batch experiments and analyze data with a fuzzy regression approach.
• To characterize the prepared adsorbent and determine key factors influencing dye removal.

Main Methods:

• Potato starch was cross-linked with sodium trimetaphosphate (STMP) to create an adsorbent.
• Batch experiments were conducted to study the effects of pH, temperature, contact time, initial CV concentration, and adsorbent dosage.
• Adsorption data were analyzed using a fuzzy regression model to predict CV removal efficiency.
• The adsorbent's porosity and surface area were characterized.

Main Results:

• The STMP-cross-linked potato starch adsorbent exhibited mesoporosity with a 9.8 nm pore diameter and 2.7 m²/g surface area.
• Adsorbent dosage was the most significant factor influencing CV removal, followed by pH, temperature, initial concentration, and contact time.
• The fuzzy regression model accurately predicted experimental CV removal data with an R² value of 0.985.

Conclusions:

• Chemically modified potato starch is a viable and effective adsorbent for crystal violet dye removal.
• Fuzzy regression analysis provides a valuable tool for optimizing water treatment processes and monitoring dye removal.
• This research presents a scalable and eco-friendly approach for treating dye-contaminated wastewater.