Eco-innovative electrochemical sensing for precise detection of vanillin and sulfadiazine additives in confectioneries

IF 8.7 Q1 CHEMISTRY, PHYSICAL Applied Surface Science Advances Pub Date : 2024-02-23 DOI:10.1016/j.apsadv.2024.100584
Yen-Yi Lee , Balasubramanian Sriram , Sea-Fue Wang , Megha Maria Stanley , Wan-Ching Lin , Sakthivel Kogularasu , Guo-Ping Chang-Chien , Mary George
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Abstract

The continuous emergence of food additives and contaminants in edibles, especially confectioneries, demands advanced detection methods to ensure public health and safety. Vanillin (VAL) and sulfadiazine (SD) are of paramount concern due to their extensive application in various products. While VAL is favored for its flavoring attributes, SD, a common antibiotic, can inadvertently contaminate food items. For accurate and swift detection of these compounds, we introduced an innovative electrochemical sensor using cobalt oxide nanostructures. Notably, synthesizing these nanostructures through a green approach using glucose and starch is a significant advancement, offering both environmental benefits and enhanced material properties. The novelty of the material lies in its eco-friendly synthesis route and superior electrocatalytic performance. Preliminary results indicate a promising limit of detection (LOD) VAL= 0.003 µM & SD= 0.0055 µM and a broad linear range 0.02–209 µM emphasizing its potential for real-world food quality monitoring. This work, therefore, provides a crucial intersection of sustainable material synthesis and effective food contaminant detection, heralding a new era in food safety evaluation.

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用于精确检测糖果中香兰素和磺胺嘧啶添加剂的生态创新电化学传感技术
食品(尤其是糖果)中食品添加剂和污染物的不断涌现要求采用先进的检测方法来确保公众健康和安全。香兰素(VAL)和磺胺嘧啶(SD)因广泛应用于各种产品而备受关注。VAL 因其调味特性而备受青睐,而 SD 则是一种常见的抗生素,可能会在不经意间污染食品。为了准确、快速地检测这些化合物,我们利用氧化钴纳米结构推出了一种创新的电化学传感器。值得注意的是,通过使用葡萄糖和淀粉的绿色方法合成这些纳米结构是一项重大进步,不仅具有环境效益,还增强了材料性能。该材料的新颖之处在于其环保的合成路线和卓越的电催化性能。初步结果表明,该材料的检测限(LOD)为 VAL= 0.003 µM & SD= 0.0055 µM,线性范围为 0.02-209 µM。因此,这项工作为可持续材料合成和有效的食品污染物检测提供了一个重要的交叉点,预示着食品安全评估进入了一个新时代。
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8.10
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1.60%
发文量
128
审稿时长
66 days
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