气凝胶
三元运算
石墨烯
没食子酸
氢氧化物
电化学
抗氧化剂
材料科学
食品添加剂
组分(热力学)
化学
食品科学
有机化学
纳米技术
核化学
电极
计算机科学
物理
程序设计语言
物理化学
热力学
作者
Megha Maria Stanley,Balasubramanian Sriram,Sea‐Fue Wang,Abhikha Sherlin,Sakthivel Kogularasu,Mary George
标识
DOI:10.1016/j.mtsust.2024.101061
摘要
Fueled by the mounting demand from convenience-oriented consumers, the contemporary food industry increasingly relies on specialty chemicals to extend the shelf-life of processed food. Antioxidants like propyl gallate are added to food products to avert lipid oxidation. Existing methods for monitoring propyl gallate often lack the required sensitivity and accuracy for real-time applications. Our work demonstrates enhanced sensitivity and selectivity through the synergistic combination of transition metal-based ternary layered double hydroxide (LDH) and graphene aerogel (GA) coated on a disposable screen-printed carbon electrode (SPCE). Introducing multi-metal-based LDH improves the electrochemical stability compared to virgin LDH structures. NiFeCu-LDH is anchored to porous GA with a high specific surface area, enhancing electron transfer. We extensively explore the electrochemical conversion of propyl gallate at the modified SPCE using various electrochemical techniques. Differential pulse voltammetry showed a wide linear range from 0.02–279.1 μM and a limit of detection of 0.004 μM. Importantly, our work chronicles new insights into using Deep Eutectic Solvent (DES) systems for the green synthesis of LDHs. The developed electrochemical sensor was successfully used to assay propyl gallate in real food matrices, achieving recoveries of ±97.60–99.2%. • A sustainable deep eutectic solvent approach was used to produce a ternary NiFeCu-LDH with a minimal amount of green solvent. • A Sonochemical nanocomposite was made using conductivity-rich graphene Aerogel (GA) to boost electrocatalyst performance. • Developed NiFeCu-LDH/GA/SPCE utilized for propyl gallate (PG) detection. • Established a broad detection range for PG with lower LOD. • Proved applicability in diverse food quality contexts for PG analysis.
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