Coffee Biomass-Based Carbon Material for the Electrochemical Determination of Antidepressant in Synthetic Urine

Escitalopram (ESC) is commonly prescribed as an antidepressant to enhance serotonin levels in the brain, effectively addressing conditions such as depression and anxiety. The COVID-19 pandemic, along with ongoing mental health crises, has exacerbated the prevalence of these disorders, largely due to factors such as social isolation, fear of the virus, and financial difficulties. This study presents the enhancement of a glassy carbon electrode (GC) through the incorporation of hydrochar (HDC) derived from spent coffee grounds and copper nanoparticles (CuNPs) for the detection of ESC in synthetic urine. Characterization of the nanocomposite was conducted using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and cyclic voltammetry (CV). The analytical parameters were systematically optimized, and a sensing platform was utilized for the quantification of ESC via square-wave voltammetry (SWV). The established linear range was found to be between 1.0 µmol L−1 and 50.0 µmol L−1, with a limit of detection (LOD) of 0.23 µmol L−1. Finally, an electrochemical sensor was employed to measure ESC levels in synthetic urine, yielding recovery rates ranging from 91.7% to 94.3%. Consequently, the HDC-CuNPs composite emerged as a promising, sustainable, and cost-effective alternative for electroanalytical applications.

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Publication Details

Journal
Chemosensors
Published
2024-10-03
DOI
https://doi.org/10.3390/chemosensors12100205
Citations
2
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.42

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article

Coffee Biomass-Based Carbon Material for the Electrochemical Determination of Antidepressant in Synthetic Urine

Francisco Contini Barreto, Erika Yukie Ito, Quan He, Ivana Cesarino et al.
2 citations
Chemosensors
Electrochemical sensors and biosensors
0.42
article

Coffee Biomass-Based Carbon Material for the Electrochemical Determination of Antidepressant in Synthetic Urine

Francisco Contini Barreto, Erika Yukie Ito, Quan He, Ivana Cesarino, Naelle Kita Mounienguet
article en
2 citations

Abstract

Escitalopram (ESC) is commonly prescribed as an antidepressant to enhance serotonin levels in the brain, effectively addressing conditions such as depression and anxiety. The COVID-19 pandemic, along with ongoing mental health crises, has exacerbated the prevalence of these disorders, largely due to factors such as social isolation, fear of the virus, and financial difficulties. This study presents the enhancement of a glassy carbon electrode (GC) through the incorporation of hydrochar (HDC) derived from spent coffee grounds and copper nanoparticles (CuNPs) for the detection of ESC in synthetic urine. Characterization of the nanocomposite was conducted using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and cyclic voltammetry (CV). The analytical parameters were systematically optimized, and a sensing platform was utilized for the quantification of ESC via square-wave voltammetry (SWV). The established linear range was found to be between 1.0 µmol L−1 and 50.0 µmol L−1, with a limit of detection (LOD) of 0.23 µmol L−1. Finally, an electrochemical sensor was employed to measure ESC levels in synthetic urine, yielding recovery rates ranging from 91.7% to 94.3%. Consequently, the HDC-CuNPs composite emerged as a promising, sustainable, and cost-effective alternative for electroanalytical applications.

ChemosensorsVol. 12(10)
Dalhousie University (CA), Universidade Estadual Paulista (Unesp) (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 38%
Electrochemical sensors and biosensors
0.42
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Coffee Biomass-Based Carbon Material for the Electrochemical Determination of Antidepressant in Synthetic Urine — Francisco Contini Barreto, Erika Yukie Ito, et al. · Chemosensors (2024) | TGRS Research Map | TGRS