Muthui Martin Mwaurah , Jayaraman Mathiyarasu , A.M. Vinu Mohan
{"title":"mwcnts - β -环糊精-还原氧化石墨烯凝胶电化学传感器用于同时检测人体汗液样品中的多巴胺和尿酸","authors":"Muthui Martin Mwaurah , Jayaraman Mathiyarasu , A.M. Vinu Mohan","doi":"10.1016/j.carbpol.2024.123060","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate determination of dopamine (DA) and uric acid (UA) in biological samples is crucial in diagnosing neurodegenerative disorders and gout, respectively. Here we report a highly sensitive and inexpensive, flexible screen-printed sensor for determining DA and UA in sweat samples. Beta-cyclodextrin-based (βCD) composite gel with reduced graphene oxide (rGO) was synthesized by self-polymerization of βCD at an optimum ratio of “good” and “poor solvent”. Multiwall carbon nanotubes (MWCNTs) were incorporated into the composite as a conductive filler. The MWCNTs-βCD-rGO gel provides selective biorecognition of DA and UA at the electrode surface through guest-host interaction. The gels were characterized by XRD, TGA, FTIR, UV–Vis, <sup>1</sup>H NMR, FESEM, XPS and optical microscopy. The flexible printed sensor showed linear DA detection in the range 0.25 to 16 μM with a correlation coefficient (R<sup>2</sup>) of 0.9890, limit of detection (LoD) of 0.08 μM and sensitivity of 3.63 μA μM<sup>−1</sup> cm<sup>−2</sup>. Similarly, UA calibration showed linear detection from 50 to 700 μM with a R<sup>2</sup> value of 0.9860, LoD of 0.078 μM and sensitivity of 0.118 μA μM<sup>−1</sup> cm<sup>−2</sup>. The SPE/MWCNTs-βCD-rGOsensor showed simultaneous determination of DA and UA from exercise induced sweat samples. The proposed sensor demonstrated excellent repeatability and satisfactory recoveries in human sweat.</div></div>","PeriodicalId":261,"journal":{"name":"Carbohydrate Polymers","volume":"350 ","pages":"Article 123060"},"PeriodicalIF":10.7000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MWCNTs-Beta-Cyclodextrin-reduced graphene oxide gel based electrochemical sensor for simultaneous detection of dopamine and uric acid in human sweat samples\",\"authors\":\"Muthui Martin Mwaurah , Jayaraman Mathiyarasu , A.M. Vinu Mohan\",\"doi\":\"10.1016/j.carbpol.2024.123060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurate determination of dopamine (DA) and uric acid (UA) in biological samples is crucial in diagnosing neurodegenerative disorders and gout, respectively. Here we report a highly sensitive and inexpensive, flexible screen-printed sensor for determining DA and UA in sweat samples. Beta-cyclodextrin-based (βCD) composite gel with reduced graphene oxide (rGO) was synthesized by self-polymerization of βCD at an optimum ratio of “good” and “poor solvent”. Multiwall carbon nanotubes (MWCNTs) were incorporated into the composite as a conductive filler. The MWCNTs-βCD-rGO gel provides selective biorecognition of DA and UA at the electrode surface through guest-host interaction. The gels were characterized by XRD, TGA, FTIR, UV–Vis, <sup>1</sup>H NMR, FESEM, XPS and optical microscopy. The flexible printed sensor showed linear DA detection in the range 0.25 to 16 μM with a correlation coefficient (R<sup>2</sup>) of 0.9890, limit of detection (LoD) of 0.08 μM and sensitivity of 3.63 μA μM<sup>−1</sup> cm<sup>−2</sup>. Similarly, UA calibration showed linear detection from 50 to 700 μM with a R<sup>2</sup> value of 0.9860, LoD of 0.078 μM and sensitivity of 0.118 μA μM<sup>−1</sup> cm<sup>−2</sup>. The SPE/MWCNTs-βCD-rGOsensor showed simultaneous determination of DA and UA from exercise induced sweat samples. The proposed sensor demonstrated excellent repeatability and satisfactory recoveries in human sweat.</div></div>\",\"PeriodicalId\":261,\"journal\":{\"name\":\"Carbohydrate Polymers\",\"volume\":\"350 \",\"pages\":\"Article 123060\"},\"PeriodicalIF\":10.7000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Carbohydrate Polymers\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0144861724012864\",\"RegionNum\":1,\"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":"Carbohydrate Polymers","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0144861724012864","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
MWCNTs-Beta-Cyclodextrin-reduced graphene oxide gel based electrochemical sensor for simultaneous detection of dopamine and uric acid in human sweat samples
Accurate determination of dopamine (DA) and uric acid (UA) in biological samples is crucial in diagnosing neurodegenerative disorders and gout, respectively. Here we report a highly sensitive and inexpensive, flexible screen-printed sensor for determining DA and UA in sweat samples. Beta-cyclodextrin-based (βCD) composite gel with reduced graphene oxide (rGO) was synthesized by self-polymerization of βCD at an optimum ratio of “good” and “poor solvent”. Multiwall carbon nanotubes (MWCNTs) were incorporated into the composite as a conductive filler. The MWCNTs-βCD-rGO gel provides selective biorecognition of DA and UA at the electrode surface through guest-host interaction. The gels were characterized by XRD, TGA, FTIR, UV–Vis, 1H NMR, FESEM, XPS and optical microscopy. The flexible printed sensor showed linear DA detection in the range 0.25 to 16 μM with a correlation coefficient (R2) of 0.9890, limit of detection (LoD) of 0.08 μM and sensitivity of 3.63 μA μM−1 cm−2. Similarly, UA calibration showed linear detection from 50 to 700 μM with a R2 value of 0.9860, LoD of 0.078 μM and sensitivity of 0.118 μA μM−1 cm−2. The SPE/MWCNTs-βCD-rGOsensor showed simultaneous determination of DA and UA from exercise induced sweat samples. The proposed sensor demonstrated excellent repeatability and satisfactory recoveries in human sweat.
期刊介绍:
Carbohydrate Polymers stands as a prominent journal in the glycoscience field, dedicated to exploring and harnessing the potential of polysaccharides with applications spanning bioenergy, bioplastics, biomaterials, biorefining, chemistry, drug delivery, food, health, nanotechnology, packaging, paper, pharmaceuticals, medicine, oil recovery, textiles, tissue engineering, wood, and various aspects of glycoscience.
The journal emphasizes the central role of well-characterized carbohydrate polymers, highlighting their significance as the primary focus rather than a peripheral topic. Each paper must prominently feature at least one named carbohydrate polymer, evident in both citation and title, with a commitment to innovative research that advances scientific knowledge.