Anuradha Upadhyaya, Anurag Panda, Somagni Roy, Ramesh Kumar, Marta Otero, Prasenjit Chakraborty, Santoshi Mohanta, Shirsendu Banerjee, Moonis Ali Khan, Sashikant Nayak, Somnath Chowdhury, Byong-Hun Jeon, Sankha Chakrabortty, Suraj K. Tripathy
{"title":"锌活化稻秆纤维素吸附遗传毒性染料的参数优化:与循环经济目标(可持续发展目标12)相一致的研究","authors":"Anuradha Upadhyaya, Anurag Panda, Somagni Roy, Ramesh Kumar, Marta Otero, Prasenjit Chakraborty, Santoshi Mohanta, Shirsendu Banerjee, Moonis Ali Khan, Sashikant Nayak, Somnath Chowdhury, Byong-Hun Jeon, Sankha Chakrabortty, Suraj K. Tripathy","doi":"10.1007/s10570-025-06665-x","DOIUrl":null,"url":null,"abstract":"<div><p>Cellulose extraction from agro biomass is a viable solid waste management strategy that has the potential to be applied in various adsorption-based separation processes. Nevertheless, certain dyes, such as malachite green (MG), could be extremely difficult to eliminate adequately using untreated cellulose, hence raising concerns regarding the successful applications of cellulose. This problem may be solved with zinc-treated cellulose, which improves adsorption efficacy by increasing surface area, porosity, and chemical reactivity. This study investigates the efficacy of ZnO-treated cellulose obtained from biomass pre-treatment, specifically focusing on enhancing the removal efficacy of MG. High-yield cellulose fiber was extracted from rice straw using a green solvent, which was further treated with ZnO and characterized to understand its structural and chemical properties. To study MG removal, equilibrium and kinetic studies were used to evaluate adsorption performance, and further advanced AI/ML-driven optimization improved the process efficiency. ZnO-treated cellulose dose of 0.4 g/L, MG concentration of 30 mg/L, pH 7, temperature at 30 °C, and stirring at 100 rpm yielded 98% MG removal efficiency. Using advanced computational approaches, the artificial neural network model (R<sup>2</sup> = 0.966) outperformed the response surface methodology model (R<sup>2</sup> = 0.91), demonstrating the potential for improved adsorption efficiency with ZnO-treated cellulose. This study underscores the use of ZnO-modified cellulose as a sustainable and circular solution for dye removal, in line with the United Nations Sustainable Development Goal (SDG) 12: Responsible Consumption and Production. By advancing eco-friendly wastewater treatment and valorizing agricultural biomass, the research promotes sustainability within an optimized, data-driven framework.</p><h3>Graphical abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":511,"journal":{"name":"Cellulose","volume":"32 12","pages":"7377 - 7413"},"PeriodicalIF":4.8000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric optimizations of genotoxic dye sorption using zinc-activated rice straw-derived cellulose: a study aligned with circular economy goals (SDG 12)\",\"authors\":\"Anuradha Upadhyaya, Anurag Panda, Somagni Roy, Ramesh Kumar, Marta Otero, Prasenjit Chakraborty, Santoshi Mohanta, Shirsendu Banerjee, Moonis Ali Khan, Sashikant Nayak, Somnath Chowdhury, Byong-Hun Jeon, Sankha Chakrabortty, Suraj K. Tripathy\",\"doi\":\"10.1007/s10570-025-06665-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Cellulose extraction from agro biomass is a viable solid waste management strategy that has the potential to be applied in various adsorption-based separation processes. Nevertheless, certain dyes, such as malachite green (MG), could be extremely difficult to eliminate adequately using untreated cellulose, hence raising concerns regarding the successful applications of cellulose. This problem may be solved with zinc-treated cellulose, which improves adsorption efficacy by increasing surface area, porosity, and chemical reactivity. This study investigates the efficacy of ZnO-treated cellulose obtained from biomass pre-treatment, specifically focusing on enhancing the removal efficacy of MG. High-yield cellulose fiber was extracted from rice straw using a green solvent, which was further treated with ZnO and characterized to understand its structural and chemical properties. To study MG removal, equilibrium and kinetic studies were used to evaluate adsorption performance, and further advanced AI/ML-driven optimization improved the process efficiency. ZnO-treated cellulose dose of 0.4 g/L, MG concentration of 30 mg/L, pH 7, temperature at 30 °C, and stirring at 100 rpm yielded 98% MG removal efficiency. Using advanced computational approaches, the artificial neural network model (R<sup>2</sup> = 0.966) outperformed the response surface methodology model (R<sup>2</sup> = 0.91), demonstrating the potential for improved adsorption efficiency with ZnO-treated cellulose. This study underscores the use of ZnO-modified cellulose as a sustainable and circular solution for dye removal, in line with the United Nations Sustainable Development Goal (SDG) 12: Responsible Consumption and Production. 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Parametric optimizations of genotoxic dye sorption using zinc-activated rice straw-derived cellulose: a study aligned with circular economy goals (SDG 12)
Cellulose extraction from agro biomass is a viable solid waste management strategy that has the potential to be applied in various adsorption-based separation processes. Nevertheless, certain dyes, such as malachite green (MG), could be extremely difficult to eliminate adequately using untreated cellulose, hence raising concerns regarding the successful applications of cellulose. This problem may be solved with zinc-treated cellulose, which improves adsorption efficacy by increasing surface area, porosity, and chemical reactivity. This study investigates the efficacy of ZnO-treated cellulose obtained from biomass pre-treatment, specifically focusing on enhancing the removal efficacy of MG. High-yield cellulose fiber was extracted from rice straw using a green solvent, which was further treated with ZnO and characterized to understand its structural and chemical properties. To study MG removal, equilibrium and kinetic studies were used to evaluate adsorption performance, and further advanced AI/ML-driven optimization improved the process efficiency. ZnO-treated cellulose dose of 0.4 g/L, MG concentration of 30 mg/L, pH 7, temperature at 30 °C, and stirring at 100 rpm yielded 98% MG removal efficiency. Using advanced computational approaches, the artificial neural network model (R2 = 0.966) outperformed the response surface methodology model (R2 = 0.91), demonstrating the potential for improved adsorption efficiency with ZnO-treated cellulose. This study underscores the use of ZnO-modified cellulose as a sustainable and circular solution for dye removal, in line with the United Nations Sustainable Development Goal (SDG) 12: Responsible Consumption and Production. By advancing eco-friendly wastewater treatment and valorizing agricultural biomass, the research promotes sustainability within an optimized, data-driven framework.
期刊介绍:
Cellulose is an international journal devoted to the dissemination of research and scientific and technological progress in the field of cellulose and related naturally occurring polymers. The journal is concerned with the pure and applied science of cellulose and related materials, and also with the development of relevant new technologies. This includes the chemistry, biochemistry, physics and materials science of cellulose and its sources, including wood and other biomass resources, and their derivatives. Coverage extends to the conversion of these polymers and resources into manufactured goods, such as pulp, paper, textiles, and manufactured as well natural fibers, and to the chemistry of materials used in their processing. Cellulose publishes review articles, research papers, and technical notes.