Quynh-Trang Thi Ngo, Thi-Hien Pham, Lemma Teshome Tufa, Van Tan Tran, Van-Tuan Hoang, Anh-Tuan Le
{"title":"利用基于 MnO2 纳米片的比色传感平台快速灵敏地检测环境水样中的扑热息痛","authors":"Quynh-Trang Thi Ngo, Thi-Hien Pham, Lemma Teshome Tufa, Van Tan Tran, Van-Tuan Hoang, Anh-Tuan Le","doi":"10.1007/s00396-024-05277-4","DOIUrl":null,"url":null,"abstract":"<div><p>This study introduces a novel method for the rapid and efficient detection of paracetamol, leveraging a colorimetric sensing mechanism predicated on the utilization of TMB-MnO<sub>2</sub> nanosheets. The interaction of paracetamol with MnO<sub>2</sub> is characterized by a selective reaction mechanism, leading to the reduction of MnO<sub>2</sub> to Mn<sup>2+</sup> ions and consequent attenuation of the oxidase-mimetic activity of MnO<sub>2</sub>. The developed colorimetric sensor exhibits a linear detection range for paracetamol extending from 5 × 10<sup>−4</sup> to 10<sup>−2</sup> M, with a lower detection limit quantified at 5.24 × 10<sup>−7</sup> M. Empirical assessments conducted to ascertain the influence of potential interferents prevalent in actual samples revealed a negligible impact on the colorimetric sensor. Furthermore, the application of this sensor system to real-world samples demonstrated its capability to detect paracetamol with a notable recovery rate and a relative standard deviation of < 6.65%. This approach manifests significant promise for the efficacious detection of paracetamol in various sample matrices.</p><h3>Graphical abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":520,"journal":{"name":"Colloid and Polymer Science","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid and sensitive detection of paracetamol in environmental aqueous samples using MnO2 nanosheet-based colorimetric sensing platform\",\"authors\":\"Quynh-Trang Thi Ngo, Thi-Hien Pham, Lemma Teshome Tufa, Van Tan Tran, Van-Tuan Hoang, Anh-Tuan Le\",\"doi\":\"10.1007/s00396-024-05277-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study introduces a novel method for the rapid and efficient detection of paracetamol, leveraging a colorimetric sensing mechanism predicated on the utilization of TMB-MnO<sub>2</sub> nanosheets. The interaction of paracetamol with MnO<sub>2</sub> is characterized by a selective reaction mechanism, leading to the reduction of MnO<sub>2</sub> to Mn<sup>2+</sup> ions and consequent attenuation of the oxidase-mimetic activity of MnO<sub>2</sub>. The developed colorimetric sensor exhibits a linear detection range for paracetamol extending from 5 × 10<sup>−4</sup> to 10<sup>−2</sup> M, with a lower detection limit quantified at 5.24 × 10<sup>−7</sup> M. Empirical assessments conducted to ascertain the influence of potential interferents prevalent in actual samples revealed a negligible impact on the colorimetric sensor. Furthermore, the application of this sensor system to real-world samples demonstrated its capability to detect paracetamol with a notable recovery rate and a relative standard deviation of < 6.65%. This approach manifests significant promise for the efficacious detection of paracetamol in various sample matrices.</p><h3>Graphical abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":520,\"journal\":{\"name\":\"Colloid and Polymer Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Colloid and Polymer Science\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00396-024-05277-4\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Colloid and Polymer Science","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00396-024-05277-4","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Rapid and sensitive detection of paracetamol in environmental aqueous samples using MnO2 nanosheet-based colorimetric sensing platform
This study introduces a novel method for the rapid and efficient detection of paracetamol, leveraging a colorimetric sensing mechanism predicated on the utilization of TMB-MnO2 nanosheets. The interaction of paracetamol with MnO2 is characterized by a selective reaction mechanism, leading to the reduction of MnO2 to Mn2+ ions and consequent attenuation of the oxidase-mimetic activity of MnO2. The developed colorimetric sensor exhibits a linear detection range for paracetamol extending from 5 × 10−4 to 10−2 M, with a lower detection limit quantified at 5.24 × 10−7 M. Empirical assessments conducted to ascertain the influence of potential interferents prevalent in actual samples revealed a negligible impact on the colorimetric sensor. Furthermore, the application of this sensor system to real-world samples demonstrated its capability to detect paracetamol with a notable recovery rate and a relative standard deviation of < 6.65%. This approach manifests significant promise for the efficacious detection of paracetamol in various sample matrices.
期刊介绍:
Colloid and Polymer Science - a leading international journal of longstanding tradition - is devoted to colloid and polymer science and its interdisciplinary interactions. As such, it responds to a demand which has lost none of its actuality as revealed in the trends of contemporary materials science.