A comparative study of non-enzymatic glucose detection in artificial human urine and human urine specimens by using mesoporous bimetallic cobalt-iron supported N-doped graphene biosensor based on differential pulse voltammetry

Janyasupab, Metini; Liu, Chen‐Wei; Chanlek, Narong; Chio-Srichan, Sirinart; Promptmas, Chamras; Surareungchai, Werasak

doi:10.1016/j.snb.2019.02.018

Cited by 35 publications

(11 citation statements)

References 60 publications

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“…41 In addition, Janyasupab et al investigated the selectivity of electrochemical glucose sensors based on bimetallic CoFenitrogen-doped graphene using CV technology. 42…”

Section: Selectivitymentioning

confidence: 99%

Electrochemical non-enzymatic glucose sensors: recent progress and perspectives

et al. 2020

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“…41 In addition, Janyasupab et al investigated the selectivity of electrochemical glucose sensors based on bimetallic CoFenitrogen-doped graphene using CV technology. 42…”

Section: Selectivitymentioning

confidence: 99%

Electrochemical non-enzymatic glucose sensors: recent progress and perspectives

et al. 2020

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“…Comparable detection performance was achieved for detection of PBS-based standard solutions and detection of urine samples, proving that the urine matrix has a limited effect on the detection performance of Fe-SASC-LFIA. Moreover, the selectivity of this assay for 2,4-D in human urine was verified by evaluating the impact of interfering substances such as Na + , K + , Cl − , glucose, and uric acid (UA) (Figure S8 ) [ 47 ]. Obvious color change on T-line is observed when in the presence of 2,4-D, while other interfering substances are ineffective, indicating an outstanding selectivity of the proposed Fe-SASC-LFIA towards 2,4-D against potential interfering substances.…”

Section: Resultsmentioning

confidence: 99%

Single-Atomic Site Catalyst Enhanced Lateral Flow Immunoassay for Point-of-Care Detection of Herbicide

et al. 2022

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Point-of-care (POC) detection of herbicides is of great importance due to their impact on the environment and potential risks to human health. Here, we design a single-atomic site catalyst (SASC) with excellent peroxidase-like (POD-like) catalytic activity, which enhances the detection performance of corresponding lateral flow immunoassay (LFIA). The iron single-atomic site catalyst (Fe-SASC) is synthesized from hemin-doped ZIF-8, creating active sites that mimic the Fe active center coordination environment of natural enzyme and their functions. Due to its atomically dispersed iron active sites that result in maximum utilization of active metal atoms, the Fe-SASC exhibits superior POD-like activity, which has great potential to replace its natural counterparts. Also, the catalytic mechanism of Fe-SASC is systematically investigated. Utilizing its outstanding catalytic activity, the Fe-SASC is used as label to construct LFIA (Fe-SASC-LFIA) for herbicide detection. The 2,4-dichlorophenoxyacetic acid (2,4-D) is selected as a target here, since it is a commonly used herbicide as well as a biomarker for herbicide exposure evaluation. A linear detection range of 1-250 ng/mL with a low limit of detection (LOD) of 0.82 ng/mL has been achieved. Meanwhile, excellent specificity and selectivity towards 2,4-D have been obtained. The outstanding detection performance of the Fe-SASC-LFIA has also been demonstrated in the detection of human urine samples, indicating the practicability of this POC detection platform for analyzing the 2,4-D exposure level of a person. We believe this proposed Fe-SASC-LFIA has potential as a portable, rapid, and high-sensitive POC detection strategy for pesticide exposure evaluation.

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“…Surine™ was selected because it mimics the characteristics of normal human urine, representing a reliable biological matrix for simulating clinical samples. [30][31][32] The standard addition method was performed by adding 1, 2, 4, 7, 9 and 14 μM standard kynurenine to a test solution containing 1 μM kynurenine. After performing measurements in optimal conditions, results are shown in Fig.…”

Section: Resultsmentioning

confidence: 99%