Citra Dewi Rakhmania, Yoshi Izzuddin Azhar, Kenji Shida, Erika Shinchi, Taiki Adachi, Keisei Sowa, Yuki Kitazumi, Osamu Shirai and Masato Tominaga
{"title":"基于吸附在碳纳米管上的 PQQ 依赖性醇脱氢酶直接电子传递的高灵敏通量型无创酒精生物传感器†。","authors":"Citra Dewi Rakhmania, Yoshi Izzuddin Azhar, Kenji Shida, Erika Shinchi, Taiki Adachi, Keisei Sowa, Yuki Kitazumi, Osamu Shirai and Masato Tominaga","doi":"10.1039/D4SD00161C","DOIUrl":null,"url":null,"abstract":"<p >Ethanol gas excreted by human skin can be used to determine auto-brewery syndrome (drunken disease), blood alcohol levels, and/or a body state of alcoholism. Considering the limitations of continuous non-invasive alcohol gas monitoring based on the electrochemical method, which requires high sensitivity and selectivity, a CNF film sensor was developed. This sensor was developed by utilizing pyrroloquinoline quinone-dependent alcohol dehydrogenase (PQQ-ADH) and multiwalled carbon nanotubes (MWCNTs) based on cellulose nanofiber (CNF) film platform. With a compact design, a PQQ-ADH/MWCNTs/CNF film sensor was built in a three-electrode system. This system could continuously detect ethanol gas with ultra-high sensitivity, a wide detection range (24 ppb–25 ppm), and high selectivity for ethanol. Finally, the CNF film sensor was used for ethanol gas monitoring in the human subject, and we were able to detect metabolism abnormalities of the subject by analyzing the declining slope (detoxification rate) of the ethanol gas concentration monitored. The CNF film sensor aims to gain valuable insights and enhance future standard health screening practices through non-invasive wearable daily monitoring sensors.</p>","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 11","pages":" 1827-1834"},"PeriodicalIF":3.5000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/sd/d4sd00161c?page=search","citationCount":"0","resultStr":"{\"title\":\"Highly sensitive flux-type non-invasive alcohol biosensor based on direct electron transfer of PQQ-dependent alcohol dehydrogenases adsorbed on carbon nanotubes†\",\"authors\":\"Citra Dewi Rakhmania, Yoshi Izzuddin Azhar, Kenji Shida, Erika Shinchi, Taiki Adachi, Keisei Sowa, Yuki Kitazumi, Osamu Shirai and Masato Tominaga\",\"doi\":\"10.1039/D4SD00161C\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Ethanol gas excreted by human skin can be used to determine auto-brewery syndrome (drunken disease), blood alcohol levels, and/or a body state of alcoholism. Considering the limitations of continuous non-invasive alcohol gas monitoring based on the electrochemical method, which requires high sensitivity and selectivity, a CNF film sensor was developed. This sensor was developed by utilizing pyrroloquinoline quinone-dependent alcohol dehydrogenase (PQQ-ADH) and multiwalled carbon nanotubes (MWCNTs) based on cellulose nanofiber (CNF) film platform. With a compact design, a PQQ-ADH/MWCNTs/CNF film sensor was built in a three-electrode system. This system could continuously detect ethanol gas with ultra-high sensitivity, a wide detection range (24 ppb–25 ppm), and high selectivity for ethanol. Finally, the CNF film sensor was used for ethanol gas monitoring in the human subject, and we were able to detect metabolism abnormalities of the subject by analyzing the declining slope (detoxification rate) of the ethanol gas concentration monitored. The CNF film sensor aims to gain valuable insights and enhance future standard health screening practices through non-invasive wearable daily monitoring sensors.</p>\",\"PeriodicalId\":74786,\"journal\":{\"name\":\"Sensors & diagnostics\",\"volume\":\" 11\",\"pages\":\" 1827-1834\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.rsc.org/en/content/articlepdf/2024/sd/d4sd00161c?page=search\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sensors & diagnostics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2024/sd/d4sd00161c\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors & diagnostics","FirstCategoryId":"1085","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/sd/d4sd00161c","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Highly sensitive flux-type non-invasive alcohol biosensor based on direct electron transfer of PQQ-dependent alcohol dehydrogenases adsorbed on carbon nanotubes†
Ethanol gas excreted by human skin can be used to determine auto-brewery syndrome (drunken disease), blood alcohol levels, and/or a body state of alcoholism. Considering the limitations of continuous non-invasive alcohol gas monitoring based on the electrochemical method, which requires high sensitivity and selectivity, a CNF film sensor was developed. This sensor was developed by utilizing pyrroloquinoline quinone-dependent alcohol dehydrogenase (PQQ-ADH) and multiwalled carbon nanotubes (MWCNTs) based on cellulose nanofiber (CNF) film platform. With a compact design, a PQQ-ADH/MWCNTs/CNF film sensor was built in a three-electrode system. This system could continuously detect ethanol gas with ultra-high sensitivity, a wide detection range (24 ppb–25 ppm), and high selectivity for ethanol. Finally, the CNF film sensor was used for ethanol gas monitoring in the human subject, and we were able to detect metabolism abnormalities of the subject by analyzing the declining slope (detoxification rate) of the ethanol gas concentration monitored. The CNF film sensor aims to gain valuable insights and enhance future standard health screening practices through non-invasive wearable daily monitoring sensors.