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交联淀粉作为从水中去除结晶紫的介质:用模糊回归对间歇吸附进行建模

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

作者信息

Bahrami Mehdi, Amiri Mohammad Javad, Busquets Rosa, Nematollahi Mohammad Javad

机构信息

Department of Water Science and Engineering, Faculty of Agriculture, Fasa University, Fasa 74616-86131, Iran.

Research Institute of Water Resources Management in Arid Region, Fasa University, Fasa 74616-86131, Iran.

出版信息

Molecules. 2024 Aug 17;29(16):3894. doi: 10.3390/molecules29163894.

DOI:10.3390/molecules29163894
PMID:39202973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11357277/
Abstract

A scalable and cost-effective solution for removing pollutants from water is to use biodegradable and eco-friendly sorbents that are readily available such as starch. The current research explored the removal of crystal violet (CV) dye from water using chemically modified potato starch. The adsorbent was prepared by cross-linking potato starch with sodium trimetaphosphate (STMP). The impact of various operating factors including pH, temperature, contact time, initial CV concentration, and adsorbent dosage on the removal of CV were investigated using batch experiments. The adsorption data were analyzed using a fuzzy regression approach, which provided a range-based representation of the model's output. The cross-linked starch adsorbent was mesoporous, with a mean pore diameter of 9.8 nm and a specific surface area of 2.7 m/g. The adsorption of CV by the STMP cross-linked potato starch was primarily influenced by the adsorbent dosage, followed by the solution pH, temperature, initial CV concentration, and contact time. The fuzzy regression model accurately predicted the independent experimental data of CV removal with an R of 0.985, demonstrating its value as a tool for the continuous monitoring of CV removal as well as optimizing water treatment conditions.

摘要

一种可扩展且经济高效的从水中去除污染物的解决方案是使用易于获得的可生物降解且环保的吸附剂,如淀粉。当前的研究探索了使用化学改性马铃薯淀粉从水中去除结晶紫(CV)染料。通过将马铃薯淀粉与偏磷酸钠(STMP)交联来制备吸附剂。使用间歇实验研究了包括pH值、温度、接触时间、初始CV浓度和吸附剂用量在内的各种操作因素对CV去除的影响。使用模糊回归方法分析吸附数据,该方法提供了基于范围的模型输出表示。交联淀粉吸附剂是中孔的,平均孔径为9.8 nm,比表面积为2.7 m/g。STMP交联马铃薯淀粉对CV的吸附主要受吸附剂用量影响,其次是溶液pH值、温度、初始CV浓度和接触时间。模糊回归模型以0.985的R值准确预测了CV去除的独立实验数据,证明了其作为连续监测CV去除以及优化水处理条件的工具的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/5417ed46dcda/molecules-29-03894-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/fd28fbd1a48f/molecules-29-03894-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/62bc8df09c2e/molecules-29-03894-g011a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/5417ed46dcda/molecules-29-03894-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/1d30cd3828f5/molecules-29-03894-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/c7439b885c5f/molecules-29-03894-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/e17ed4f94cad/molecules-29-03894-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/6092d9a37aea/molecules-29-03894-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/12341d324c9a/molecules-29-03894-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/1594bde5834e/molecules-29-03894-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/fd28fbd1a48f/molecules-29-03894-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/3ecd484a86a4/molecules-29-03894-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/8c6faddc9562/molecules-29-03894-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b090/11357277/5417ed46dcda/molecules-29-03894-g013.jpg

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