{"title":"液-液相转移催化下硫化铵选择性还原间碘硝基苯的多变量分析","authors":"Snigdha Senapati, Narayan C. Pradhan","doi":"10.1016/j.cattod.2025.115463","DOIUrl":null,"url":null,"abstract":"<div><div>Reduction of <em>m</em>-iodonitrobenzene (<em>m</em>-INB) was conducted under a liquid-liquid phase transfer catalysis system using aqueous ammonium sulfide. This process yielded <em>m</em>-iodoaniline (<em>m</em>-IA) as the sole product. An experimental design based on response surface methodology was utilized to optimize the conversion of <em>m</em>-INB. Box-Behnken design was employed to assess both individual and interactive effects of experimental variables (temperature, catalyst concentration, <em>m</em>-INB concentration, and NH<sub>3</sub>/sulfide mole ratio) on the reduction of <em>m</em>-INB. A reliable quadratic regression model was developed, demonstrating strong predictive capability using the experimental design data. Optimization via a desirability function predicted a maximum <em>m</em>-INB conversion of 100 % under the following operating conditions: temperature 321.5 K, catalyst concentration 0.074 kmol/m³ , <em>m</em>-INB/sulfide ratio 0.233, and NH<sub>3</sub>/sulfide mole ratio 3.78. The analysis of variance, which yielded an R<sup>2</sup> value of 99.4 % for <em>m</em>-INB conversion, confirmed strong agreement between experimental outcomes and predicted values obtained from the fitted model. Thus, this study effectively demonstrates the advantages of experimental design to model reaction parameters for <em>m</em>-IA production.</div></div>","PeriodicalId":264,"journal":{"name":"Catalysis Today","volume":"460 ","pages":"Article 115463"},"PeriodicalIF":5.2000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multivariate analysis in selective reduction of m-iodonitrobenzene by aqueous ammonium sulfide under liquid-liquid phase transfer catalysis\",\"authors\":\"Snigdha Senapati, Narayan C. Pradhan\",\"doi\":\"10.1016/j.cattod.2025.115463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Reduction of <em>m</em>-iodonitrobenzene (<em>m</em>-INB) was conducted under a liquid-liquid phase transfer catalysis system using aqueous ammonium sulfide. This process yielded <em>m</em>-iodoaniline (<em>m</em>-IA) as the sole product. An experimental design based on response surface methodology was utilized to optimize the conversion of <em>m</em>-INB. Box-Behnken design was employed to assess both individual and interactive effects of experimental variables (temperature, catalyst concentration, <em>m</em>-INB concentration, and NH<sub>3</sub>/sulfide mole ratio) on the reduction of <em>m</em>-INB. A reliable quadratic regression model was developed, demonstrating strong predictive capability using the experimental design data. Optimization via a desirability function predicted a maximum <em>m</em>-INB conversion of 100 % under the following operating conditions: temperature 321.5 K, catalyst concentration 0.074 kmol/m³ , <em>m</em>-INB/sulfide ratio 0.233, and NH<sub>3</sub>/sulfide mole ratio 3.78. The analysis of variance, which yielded an R<sup>2</sup> value of 99.4 % for <em>m</em>-INB conversion, confirmed strong agreement between experimental outcomes and predicted values obtained from the fitted model. Thus, this study effectively demonstrates the advantages of experimental design to model reaction parameters for <em>m</em>-IA production.</div></div>\",\"PeriodicalId\":264,\"journal\":{\"name\":\"Catalysis Today\",\"volume\":\"460 \",\"pages\":\"Article 115463\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Catalysis Today\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0920586125002810\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catalysis Today","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920586125002810","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Multivariate analysis in selective reduction of m-iodonitrobenzene by aqueous ammonium sulfide under liquid-liquid phase transfer catalysis
Reduction of m-iodonitrobenzene (m-INB) was conducted under a liquid-liquid phase transfer catalysis system using aqueous ammonium sulfide. This process yielded m-iodoaniline (m-IA) as the sole product. An experimental design based on response surface methodology was utilized to optimize the conversion of m-INB. Box-Behnken design was employed to assess both individual and interactive effects of experimental variables (temperature, catalyst concentration, m-INB concentration, and NH3/sulfide mole ratio) on the reduction of m-INB. A reliable quadratic regression model was developed, demonstrating strong predictive capability using the experimental design data. Optimization via a desirability function predicted a maximum m-INB conversion of 100 % under the following operating conditions: temperature 321.5 K, catalyst concentration 0.074 kmol/m³ , m-INB/sulfide ratio 0.233, and NH3/sulfide mole ratio 3.78. The analysis of variance, which yielded an R2 value of 99.4 % for m-INB conversion, confirmed strong agreement between experimental outcomes and predicted values obtained from the fitted model. Thus, this study effectively demonstrates the advantages of experimental design to model reaction parameters for m-IA production.
期刊介绍:
Catalysis Today focuses on the rapid publication of original invited papers devoted to currently important topics in catalysis and related subjects. The journal only publishes special issues (Proposing a Catalysis Today Special Issue), each of which is supervised by Guest Editors who recruit individual papers and oversee the peer review process. Catalysis Today offers researchers in the field of catalysis in-depth overviews of topical issues.
Both fundamental and applied aspects of catalysis are covered. Subjects such as catalysis of immobilized organometallic and biocatalytic systems are welcome. Subjects related to catalysis such as experimental techniques, adsorption, process technology, synthesis, in situ characterization, computational, theoretical modeling, imaging and others are included if there is a clear relationship to catalysis.