Iare Soares Ribeiro, Tatianny de Araujo Andrade, Tiago Almeida Silva, Márcio José da Silva, Jemmyson Romário de Jesus
{"title":"基于配位化合物[Co(BDC)]n 的电化学传感器可检测生物样本中与神经紊乱有关的儿茶酚胺神经递质","authors":"Iare Soares Ribeiro, Tatianny de Araujo Andrade, Tiago Almeida Silva, Márcio José da Silva, Jemmyson Romário de Jesus","doi":"10.1016/j.microc.2024.111571","DOIUrl":null,"url":null,"abstract":"The neurotransmitter dopamine (DA) plays a crucial role as a messenger in the brain and various organs. Assessing DA levels in biological fluids is critical to identifying stress-related disorders, substance abuse, and neurochemical imbalances. Monitoring DA levels in urine and saliva samples is crucial for diagnosing neurological disorders. In this study, we successfully synthesized and confirmed a novel electrochemical sensor based on the coordination compound Cobalt-benzenedicarboxylate, [Co(BDC)], through extensive characterization via Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDS) and Thermogravimetric Analysis (TGA) analyses. Using this material, it was developed an electrochemical sensor ([Co(BDC)]/CPE) for DA detection from biological samples (urine and saliva). After optimizing the main parameters, DA was detected using an electrode modified with 25 % (m/m) [Co(BDC)] in pH 6 solution, with an applied potential increment of 5 mV, a frequency of 75 Hz and a amplitude of 100 mV. The sensor demonstrated satisfactory performance in urine samples with limit of detection (LOD) and limit of quantification (LOQ) of 1.7 μmol/L and 5.7 μmol/L, respectively. In saliva samples, the LOD and LOQ were 0.5 μmol/L and 1.7 μmol/L, respectively, with good linearity (R > 0.9922), indicating a strong linear relationship between analyte concentration and sensor response. Recovery rates between 84.9 % and 97.1 % indicate the reliable accuracy of the modified electrode in detecting DA, with relative standard deviation (RSD) < 8.0 % (n = 3) in complex samples. This method shows potential for practical applications in analyzing real samples contributing for diagnosing neurological diseases associated with this neurotransmitter.","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electrochemical sensor based on coordination compound [Co(BDC)]n allows detection of catecholamine neurotransmitter associated with neurological disorder from biological samples\",\"authors\":\"Iare Soares Ribeiro, Tatianny de Araujo Andrade, Tiago Almeida Silva, Márcio José da Silva, Jemmyson Romário de Jesus\",\"doi\":\"10.1016/j.microc.2024.111571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The neurotransmitter dopamine (DA) plays a crucial role as a messenger in the brain and various organs. Assessing DA levels in biological fluids is critical to identifying stress-related disorders, substance abuse, and neurochemical imbalances. Monitoring DA levels in urine and saliva samples is crucial for diagnosing neurological disorders. In this study, we successfully synthesized and confirmed a novel electrochemical sensor based on the coordination compound Cobalt-benzenedicarboxylate, [Co(BDC)], through extensive characterization via Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDS) and Thermogravimetric Analysis (TGA) analyses. Using this material, it was developed an electrochemical sensor ([Co(BDC)]/CPE) for DA detection from biological samples (urine and saliva). After optimizing the main parameters, DA was detected using an electrode modified with 25 % (m/m) [Co(BDC)] in pH 6 solution, with an applied potential increment of 5 mV, a frequency of 75 Hz and a amplitude of 100 mV. The sensor demonstrated satisfactory performance in urine samples with limit of detection (LOD) and limit of quantification (LOQ) of 1.7 μmol/L and 5.7 μmol/L, respectively. In saliva samples, the LOD and LOQ were 0.5 μmol/L and 1.7 μmol/L, respectively, with good linearity (R > 0.9922), indicating a strong linear relationship between analyte concentration and sensor response. Recovery rates between 84.9 % and 97.1 % indicate the reliable accuracy of the modified electrode in detecting DA, with relative standard deviation (RSD) < 8.0 % (n = 3) in complex samples. This method shows potential for practical applications in analyzing real samples contributing for diagnosing neurological diseases associated with this neurotransmitter.\",\"PeriodicalId\":391,\"journal\":{\"name\":\"Microchemical Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microchemical Journal\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1016/j.microc.2024.111571\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microchemical Journal","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.microc.2024.111571","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Electrochemical sensor based on coordination compound [Co(BDC)]n allows detection of catecholamine neurotransmitter associated with neurological disorder from biological samples
The neurotransmitter dopamine (DA) plays a crucial role as a messenger in the brain and various organs. Assessing DA levels in biological fluids is critical to identifying stress-related disorders, substance abuse, and neurochemical imbalances. Monitoring DA levels in urine and saliva samples is crucial for diagnosing neurological disorders. In this study, we successfully synthesized and confirmed a novel electrochemical sensor based on the coordination compound Cobalt-benzenedicarboxylate, [Co(BDC)], through extensive characterization via Fourier Transform Infrared Spectroscopy (FT-IR), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDS) and Thermogravimetric Analysis (TGA) analyses. Using this material, it was developed an electrochemical sensor ([Co(BDC)]/CPE) for DA detection from biological samples (urine and saliva). After optimizing the main parameters, DA was detected using an electrode modified with 25 % (m/m) [Co(BDC)] in pH 6 solution, with an applied potential increment of 5 mV, a frequency of 75 Hz and a amplitude of 100 mV. The sensor demonstrated satisfactory performance in urine samples with limit of detection (LOD) and limit of quantification (LOQ) of 1.7 μmol/L and 5.7 μmol/L, respectively. In saliva samples, the LOD and LOQ were 0.5 μmol/L and 1.7 μmol/L, respectively, with good linearity (R > 0.9922), indicating a strong linear relationship between analyte concentration and sensor response. Recovery rates between 84.9 % and 97.1 % indicate the reliable accuracy of the modified electrode in detecting DA, with relative standard deviation (RSD) < 8.0 % (n = 3) in complex samples. This method shows potential for practical applications in analyzing real samples contributing for diagnosing neurological diseases associated with this neurotransmitter.
期刊介绍:
The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field.
Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.