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基于硫化镍纳米团簇@硫化镍纳米球在人血清和尿液中的非酶葡萄糖检测

Non-Enzymatic Glucose Detection Based on NiS Nanoclusters@NiS Nanosphere in Human Serum and Urine.

作者信息

Arivazhagan Mani, Manova Santhosh Yesupatham, Maduraiveeran Govindhan

机构信息

Materials Electrochemistry Laboratory, Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur 603 203, Tamil Nadu, India.

出版信息

Micromachines (Basel). 2021 Apr 5;12(4):403. doi: 10.3390/mi12040403.

DOI:10.3390/mi12040403
PMID:33916480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8067435/
Abstract

Herein, we report a non-enzymatic electrochemical glucose sensing platform based on NiS nanoclusters dispersed on NiS nanosphere (NC-NiS@NS-NiS) in human serum and urine samples. The NC-NiS@NS-NiS are directly grown on nickel foam (NF) (NC-NiS@NS-NiS|NF) substrate by a facile, and one-step electrodeposition strategy under acidic solution. The as-developed nanostructured NC-NiS@NS-NiS|NF electrode materials successfully employ as the enzyme-mimic electrocatalysts toward the improved electrocatalytic glucose oxidation and sensitive glucose sensing. The NC-NiS@NS-NiS|NF electrode presents an outstanding electrocatalytic activity and sensing capability towards the glucose owing to the attribution of great double layer capacitance, excessive electrochemical active surface area (ECASA), and high electrochemical active sites. The present sensor delivers a limit of detection (LOD) of ~0.0083 µM with a high sensitivity of 54.6 µA mM cm and a wide linear concentration range (20.0 µM-5.0 mM). The NC-NiS@NS-NiS|NF-based sensor demonstrates the good selectivity against the potential interferences and shows high practicability by glucose sensing in human urine and serum samples.

摘要

在此,我们报道了一种基于分散在硫化镍纳米球上的硫化镍纳米团簇(NC-NiS@NS-NiS)的非酶电化学葡萄糖传感平台,用于检测人血清和尿液样本中的葡萄糖。通过在酸性溶液中采用简便的一步电沉积策略,将NC-NiS@NS-NiS直接生长在泡沫镍(NF)(NC-NiS@NS-NiS|NF)基底上。所制备的纳米结构NC-NiS@NS-NiS|NF电极材料成功用作酶模拟电催化剂,用于改善电催化葡萄糖氧化和灵敏的葡萄糖传感。由于具有较大的双层电容、过量的电化学活性表面积(ECASA)和高电化学活性位点,NC-NiS@NS-NiS|NF电极对葡萄糖具有出色的电催化活性和传感能力。该传感器的检测限(LOD)约为0.0083 µM,灵敏度高达54.6 µA mM cm,线性浓度范围宽(20.0 µM - 5.0 mM)。基于NC-NiS@NS-NiS|NF的传感器对潜在干扰具有良好的选择性,并且通过检测人尿液和血清样本中的葡萄糖显示出高实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/f1a4149a06c5/micromachines-12-00403-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/632fa54eef3c/micromachines-12-00403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/9fb4edca17c9/micromachines-12-00403-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/11bbfc9b88ee/micromachines-12-00403-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/547f664e1a0a/micromachines-12-00403-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/f205d35c1e8d/micromachines-12-00403-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/f1a4149a06c5/micromachines-12-00403-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/632fa54eef3c/micromachines-12-00403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/9fb4edca17c9/micromachines-12-00403-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/11bbfc9b88ee/micromachines-12-00403-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/547f664e1a0a/micromachines-12-00403-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/f205d35c1e8d/micromachines-12-00403-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d598/8067435/f1a4149a06c5/micromachines-12-00403-g006.jpg

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