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3D-printed electrodes using graphite/carbon nitride/polylactic acid composite material: A greener platform for detection of amaranth dye in food samples

聚乳酸 材料科学 苋菜 石墨氮化碳 化学工程 复合材料 化学 有机化学 聚合物 催化作用 食品科学 光催化 工程类
作者
Lucas Vinícius de Faria,Luana M. Villafuerte,Suéllen F.L. do Nascimento,Igor Coreixas de Sá,Diego A. Peixoto,Ruan Stevan de Almeida Ribeiro,Edson Nossol,Thiago Lima,Felipe S. Semaan,Wagner Pacheco,Rafael M. Dornellas
出处
期刊:Food Chemistry [Elsevier]
卷期号:442: 138497-138497
标识
DOI:10.1016/j.foodchem.2024.138497
摘要

The production of sustainable materials with properties aimed at the additive manufacturing of electrochemical sensors has gained prestige in the scientific scenario. Here, a novel lab-made composite material using graphite (G) and carbon nitride (C3N4) embedded into polylactic acid (PLA) biopolymer is proposed to produce 3D-printed electrodes. PLA offers printability and mechanical stability in this composition, while G and C3N4 provide electrical properties and electrocatalytic sites, respectively. Characterizations by Raman and infrared spectroscopies and Energy Dispersive X-rays indicated that the G/C3N4/PLA composite was successfully obtained, while electron microscopy images revealed non-homogeneous rough surfaces. Better electrochemical properties were achieved when the G/C3N4/PLA proportion (35:5:60) was used. As a proof of concept, amaranth (AMR), a synthetic dye, was selected as an analyte, and a fast method using square wave voltammetry was developed. Utilizing the 3D-printed G/C3N4/PLA electrode, a more comprehensive linear range (0.2 to 4.2 μmol/L), a 5-fold increase in sensitivity (9.83 μmol-1 L μA), and better limits of detection (LOD = 0.06 μmol/L) and quantification (LOQ = 0.18 μmol/L) were achieved compared to the G/PLA electrode. Samples of jelly, popsicles, isotonic drinks, and food flavoring samples were analyzed, and similar results to those obtained by UV-vis spectrometry confirmed the method's reliability. Therefore, the described sensor is a simple, cost-effective alternative for assessing AMR in routine food analysis.

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