Enzyme-Free Colorimetric Sensing of Glucose using Silver Nanoparticles with a Green Stabilizing Agent from Capsicum chinense Jacq Extract

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Boyfannie Ivan Putra, Hermin Sulistyarti, Muhammad Mashuri Utama, Aura Ananda Haryanto, Rurini Retnowati, Mohamad Rafi, Akhmad Sabarudin

2025 Makara Journal of Science Vol. 29 Issue 4 Article Cited by 0 Quartile

Abstract

Diabetes mellitus (DM) is a significant global health issue characterized by abnormal glucose levels in the human body. DM diagnostics are often based on invasive blood sampling, which poses a potential risk of infection and tissue damage. Therefore, a non-enzymatic and noninvasive glucose monitoring method is required as a simple alternative to glucose detection in urine samples. Enzyme-free glucose determination is based on the formation of AgNPs stabilized by Capsicum chinense Jacq extract (CCJ-AgNPs). Under alkaline conditions, glucose acts as a reducing agent for silver ions, and the extract acts as a stabilizer to prevent agglomeration. The effect of reaction time, extract concentration, NaOH concentration, and AgNO3 concentration were studied to establish the optimum conditions for glucose sensing (reaction time: 5 min, extract volume: 2 mL, NaOH concentration: 0.05 M, and AgNO3 concentration: 0.2 mM). The linearity of glucose determination ranged from 0 to 900 mg/L, with limits of detection (LOD) and LOQ of 1 and 5 mg/L, respectively. The proposed method demonstrated good selectivity against citric acid, NH4Cl, NaCl, H2PO4, and urea at a concentration of 100 mg/L, with good recovery test accuracy ranging from 93.7% to 101.8%. This method serves as an alternative approach for simple, noninvasive, and nontoxic glucose monitoring in human urine with high sensitivity and specificity. © 2025, Universitas Indonesia. All rights reserved.

Affiliations

Department of Chemistry, Universitas Brawijaya, Malang, 65145, Indonesia; Department of Chemistry, Chulalongkorn University, Bangkok, 10330, Thailand; Department of Chemistry, Institut Pertanian Bogor, Bogor, 16680, Indonesia; Research Center for Low Cost and Automated Method & Instrumentation Analysis, Univesitas Brawijaya, Malang, 65145, Indonesia