Biosynthesized silver nanoparticles anchored on a carbon material derived from maple leaves for the development of a green non-enzymatic biosensor for creatinine sensing

被引:0
作者
Barreto, Francisco Contini [1 ,2 ]
Barberis, Maria Eduarda [2 ]
Mounienguet, Naelle Kita [2 ]
Ito, Erika Yukie [2 ]
da Silva, Martin Kassio Leme
He, Quan [3 ]
Cesarino, Ivana [1 ,2 ]
机构
[1] Sao Paulo State Univ UNESP, Inst Biosci, Botucatu, SP, Brazil
[2] Sao Paulo State Univ UNESP, Sch Agr, Botucatu, SP, Brazil
[3] Dalhousie Univ, Fac Agr, Truro, NS, Canada
来源
GREEN ANALYTICAL CHEMISTRY | 2025年 / 13卷
基金
巴西圣保罗研究基金会;
关键词
Maple leaves; Hydrochar; Electrochemical sensor; Green chemistry; Creatinine; COMPLEXES; WASTE; LEVEL; ACID;
D O I
10.1016/j.greeac.2025.100253
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Creatinine (CRE) is a byproduct of creatine and phosphocreatine breakdown in muscles, produced at a relatively constant rate and excreted by the kidneys, making it a critical biomarker for assessing renal function. This study reports the development of a novel, eco-friendly non-enzymatic biosensor for CRE determination in synthetic urine. A carbon material was derived from maple leaves and used to anchor biosynthesized silver nanoparticles (HC-AgNPs) prepared from fresh grass. This composite was employed to modify a glassy carbon electrode (GC/ HC-AgNPs) for CRE detection. Due to CRE's strong affinity for specific metals, the reduction in silver oxidation peaks served as an indicator of CRE presence in solution. The synthesized composites were characterized by scanning electron microscopy, energy-dispersive spectroscopy, cyclic voltammetry, and spectrophotometry. The sensor exhibited a linear response range of 100-500 mu mol L-1, with detection and quantification limits of 26.1 and 86.1 mu mol L-1, respectively, using square wave voltammetry. Recovery rates in synthetic urine were of 105.60% and 106.89%, with selectivity experiments revealing recovery percentages exceeding 92% for tested molecules. This sustainable and cost-effective biosensor aligns with green chemistry principles, offering a promising alternative for CRE detection.
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页数:10
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