Mohammed Imad Eddine Moud, Naima Azouaou, Zahra Sadaoui, Noreddine Boudechiche, Ismail Kyouncu, Hicham Meskher, Mohammed Amin Benbouras
{"title":"快餐垃圾作为吸附剂去除纺织品阳离子染料：等温、动力学和人工神经网络建模","authors":"Mohammed Imad Eddine Moud, Naima Azouaou, Zahra Sadaoui, Noreddine Boudechiche, Ismail Kyouncu, Hicham Meskher, Mohammed Amin Benbouras","doi":"10.1007/s11144-025-02850-y","DOIUrl":null,"url":null,"abstract":"<div><p>The present study investigates the potential of a cost-effective and easily available fast-food waste (FFW), for the removal of Yellow Basic 28 (YB28) dye. The effects of contact time, solution pH, YB28 initial concentration and adsorbent dosage on the adsorption process efficiency were well investigated and optimized by using the artificial neural network (ANN) approach. The optimal ANN structure is the one with a configuration of 4–17–1, featuring 17 neurons in the hidden layer, which achieved the highest correlation (R<sup>2</sup> = 0.996) and the lowest MSE (1.2).The optimum adsorption conditions obtained were the following: adsorbent dosage 8 g/L, contact time 60 min, YB28 initial concentration 50 mg/L, ambient temperature (20 °C) and initial pH 5.8. The sensitivity analysis of the ANN indicated that adsorbent dosage was the most influential input. The pseudo first order, pseudo second order and intra-particle diffusion kinetic models were used to describe the kinetic sorption. The obtained results revealed that the adsorption kinetics obeyed the pseudo-second order model and were governed by several steps. The adsorption isotherms were studied by fitting the data to Langmuir, Freundlich, and Temkin isotherm models. Langmuir isotherm model provided the best fit to the experimental data. A maximum adsorption capacity of 54.37mg/g was found. The constants in each adsorption model were calculated using nonlinear regression. The findings of this study underscore the potential of FFW as a viable solution for the removal of textile dyes from aqueous solutions, thereby contributing to the advancement of water treatment technologies.</p><h3>Graphical abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":750,"journal":{"name":"Reaction Kinetics, Mechanisms and Catalysis","volume":"138 4","pages":"2495 - 2515"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Valorization of fast-food waste as an adsorbent for the removal of textile cationic dye: isotherm, kinetic and artificial neural network modeling\",\"authors\":\"Mohammed Imad Eddine Moud, Naima Azouaou, Zahra Sadaoui, Noreddine Boudechiche, Ismail Kyouncu, Hicham Meskher, Mohammed Amin Benbouras\",\"doi\":\"10.1007/s11144-025-02850-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The present study investigates the potential of a cost-effective and easily available fast-food waste (FFW), for the removal of Yellow Basic 28 (YB28) dye. The effects of contact time, solution pH, YB28 initial concentration and adsorbent dosage on the adsorption process efficiency were well investigated and optimized by using the artificial neural network (ANN) approach. The optimal ANN structure is the one with a configuration of 4–17–1, featuring 17 neurons in the hidden layer, which achieved the highest correlation (R<sup>2</sup> = 0.996) and the lowest MSE (1.2).The optimum adsorption conditions obtained were the following: adsorbent dosage 8 g/L, contact time 60 min, YB28 initial concentration 50 mg/L, ambient temperature (20 °C) and initial pH 5.8. The sensitivity analysis of the ANN indicated that adsorbent dosage was the most influential input. The pseudo first order, pseudo second order and intra-particle diffusion kinetic models were used to describe the kinetic sorption. The obtained results revealed that the adsorption kinetics obeyed the pseudo-second order model and were governed by several steps. The adsorption isotherms were studied by fitting the data to Langmuir, Freundlich, and Temkin isotherm models. Langmuir isotherm model provided the best fit to the experimental data. A maximum adsorption capacity of 54.37mg/g was found. The constants in each adsorption model were calculated using nonlinear regression. The findings of this study underscore the potential of FFW as a viable solution for the removal of textile dyes from aqueous solutions, thereby contributing to the advancement of water treatment technologies.</p><h3>Graphical abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":750,\"journal\":{\"name\":\"Reaction Kinetics, Mechanisms and Catalysis\",\"volume\":\"138 4\",\"pages\":\"2495 - 2515\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reaction Kinetics, Mechanisms and Catalysis\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11144-025-02850-y\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reaction Kinetics, Mechanisms and Catalysis","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s11144-025-02850-y","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Valorization of fast-food waste as an adsorbent for the removal of textile cationic dye: isotherm, kinetic and artificial neural network modeling
The present study investigates the potential of a cost-effective and easily available fast-food waste (FFW), for the removal of Yellow Basic 28 (YB28) dye. The effects of contact time, solution pH, YB28 initial concentration and adsorbent dosage on the adsorption process efficiency were well investigated and optimized by using the artificial neural network (ANN) approach. The optimal ANN structure is the one with a configuration of 4–17–1, featuring 17 neurons in the hidden layer, which achieved the highest correlation (R2 = 0.996) and the lowest MSE (1.2).The optimum adsorption conditions obtained were the following: adsorbent dosage 8 g/L, contact time 60 min, YB28 initial concentration 50 mg/L, ambient temperature (20 °C) and initial pH 5.8. The sensitivity analysis of the ANN indicated that adsorbent dosage was the most influential input. The pseudo first order, pseudo second order and intra-particle diffusion kinetic models were used to describe the kinetic sorption. The obtained results revealed that the adsorption kinetics obeyed the pseudo-second order model and were governed by several steps. The adsorption isotherms were studied by fitting the data to Langmuir, Freundlich, and Temkin isotherm models. Langmuir isotherm model provided the best fit to the experimental data. A maximum adsorption capacity of 54.37mg/g was found. The constants in each adsorption model were calculated using nonlinear regression. The findings of this study underscore the potential of FFW as a viable solution for the removal of textile dyes from aqueous solutions, thereby contributing to the advancement of water treatment technologies.
期刊介绍：
Reaction Kinetics, Mechanisms and Catalysis is a medium for original contributions in the following fields:
-kinetics of homogeneous reactions in gas, liquid and solid phase;
-Homogeneous catalysis;
-Heterogeneous catalysis;
-Adsorption in heterogeneous catalysis;
-Transport processes related to reaction kinetics and catalysis;
-Preparation and study of catalysts;
-Reactors and apparatus.
Reaction Kinetics, Mechanisms and Catalysis was formerly published under the title Reaction Kinetics and Catalysis Letters.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
