Zhuoran Zhong , Patrick Damacet , Elí Sánchez-González , Aileen M. Eagleton , Nataliia Vereshchuk , Ravint Wongratanaphisan , Jamison T. Anderson , Sofia Goncalves , Gregory W. Peterson , Brandon Blount , Susanna Monti , Giovanni Barcaro , Ilich A. Ibarra , Katherine A. Mirica
{"title":"可扩展模板制造的cu基MOF在纺织品上的同时传感,过滤和脱毒的二氧化硫","authors":"Zhuoran Zhong , Patrick Damacet , Elí Sánchez-González , Aileen M. Eagleton , Nataliia Vereshchuk , Ravint Wongratanaphisan , Jamison T. Anderson , Sofia Goncalves , Gregory W. Peterson , Brandon Blount , Susanna Monti , Giovanni Barcaro , Ilich A. Ibarra , Katherine A. Mirica","doi":"10.1016/j.chempr.2025.102580","DOIUrl":null,"url":null,"abstract":"<div><div><span><span>This paper describes the scalable fabrication of smart electronic textiles (e-textiles) capable of simultaneous sensing, filtration, and detoxification of </span>sulfur dioxide (SO</span><sub>2</sub><span>). The templated method converts pre-deposited copper metal into copper hydroxide, followed by conversion into a copper-based hexahydroxytriphenylene metal-organic framework (MOF) (Cu</span><sub>3</sub>(HHTP)<sub>2</sub>), to afford a large-area (10 × 10 cm<sup>2</sup>) conductive coating (sheet resistance = 0.1–0.3 MΩ). The resulting e-textiles achieve sensing (theoretical limit of detection [LOD] of 0.43 ppm), filtration (adsorption uptake of 1.9 and 0.83 mmol g<sup>−1</sup> for MOF powder and MOF/textile, respectively, at 1 bar and 298 K), and detoxification (redox conversion of SO<sub>2</sub> gas into solid sulfate) due to the selective material-analyte interactions. This scalable method for generating e-textiles is a promising approach for the fabrication of smart membrane materials with multifunctional performance characteristics.</div></div>","PeriodicalId":268,"journal":{"name":"Chem","volume":"11 10","pages":"Article 102580"},"PeriodicalIF":19.6000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scalable templated fabrication of a Cu-based MOF on textiles for simultaneous sensing, filtration, and detoxification of SO2\",\"authors\":\"Zhuoran Zhong , Patrick Damacet , Elí Sánchez-González , Aileen M. Eagleton , Nataliia Vereshchuk , Ravint Wongratanaphisan , Jamison T. Anderson , Sofia Goncalves , Gregory W. Peterson , Brandon Blount , Susanna Monti , Giovanni Barcaro , Ilich A. Ibarra , Katherine A. Mirica\",\"doi\":\"10.1016/j.chempr.2025.102580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><span><span>This paper describes the scalable fabrication of smart electronic textiles (e-textiles) capable of simultaneous sensing, filtration, and detoxification of </span>sulfur dioxide (SO</span><sub>2</sub><span>). The templated method converts pre-deposited copper metal into copper hydroxide, followed by conversion into a copper-based hexahydroxytriphenylene metal-organic framework (MOF) (Cu</span><sub>3</sub>(HHTP)<sub>2</sub>), to afford a large-area (10 × 10 cm<sup>2</sup>) conductive coating (sheet resistance = 0.1–0.3 MΩ). The resulting e-textiles achieve sensing (theoretical limit of detection [LOD] of 0.43 ppm), filtration (adsorption uptake of 1.9 and 0.83 mmol g<sup>−1</sup> for MOF powder and MOF/textile, respectively, at 1 bar and 298 K), and detoxification (redox conversion of SO<sub>2</sub> gas into solid sulfate) due to the selective material-analyte interactions. This scalable method for generating e-textiles is a promising approach for the fabrication of smart membrane materials with multifunctional performance characteristics.</div></div>\",\"PeriodicalId\":268,\"journal\":{\"name\":\"Chem\",\"volume\":\"11 10\",\"pages\":\"Article 102580\"},\"PeriodicalIF\":19.6000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chem\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451929425001706\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451929425001706","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Scalable templated fabrication of a Cu-based MOF on textiles for simultaneous sensing, filtration, and detoxification of SO2
This paper describes the scalable fabrication of smart electronic textiles (e-textiles) capable of simultaneous sensing, filtration, and detoxification of sulfur dioxide (SO2). The templated method converts pre-deposited copper metal into copper hydroxide, followed by conversion into a copper-based hexahydroxytriphenylene metal-organic framework (MOF) (Cu3(HHTP)2), to afford a large-area (10 × 10 cm2) conductive coating (sheet resistance = 0.1–0.3 MΩ). The resulting e-textiles achieve sensing (theoretical limit of detection [LOD] of 0.43 ppm), filtration (adsorption uptake of 1.9 and 0.83 mmol g−1 for MOF powder and MOF/textile, respectively, at 1 bar and 298 K), and detoxification (redox conversion of SO2 gas into solid sulfate) due to the selective material-analyte interactions. This scalable method for generating e-textiles is a promising approach for the fabrication of smart membrane materials with multifunctional performance characteristics.
期刊介绍:
Chem, affiliated with Cell as its sister journal, serves as a platform for groundbreaking research and illustrates how fundamental inquiries in chemistry and its related fields can contribute to addressing future global challenges. It was established in 2016, and is currently edited by Robert Eagling.