São Carlos Institute of Chemistry - IQSC, University of São Paulo - USP, São Carlos, SP, Brazil.
Institute of Geosciences and Exact Sciences, São Paulo State University - UNESP, Rio Claro, SP, Brazil.
Mikrochim Acta. 2024 May 29;191(6):354. doi: 10.1007/s00604-024-06426-w.
A reversible optoelectronic nose is presented consisting of ten acid-base indicators incorporated into a starch-based film, covering a wide pH range. The starch substrate is odorless, biocompatible, flexible, and exhibits high tensile resistance. This optical artificial olfaction system was used to detect the early stages of food decomposition by exposing it to the volatile compounds produced during the spoialge process of three food products (beef, chicken, and pork). A smartphone was used to capture the color changes caused by intermolecular interactions between each dye and the emitted volatiles over time. Digital images were processed to generate a differential color map, which uses the observed color shifts to create a unique signature for each food product. To effectively discriminate among different samples and exposure times, we employed chemometric tools, including hierarchical cluster analysis (HCA) and principal component analysis (PCA). This approach detects food deterioration in a practical, cost-effective, and user-friendly manner, making it suitable for smart packaging. Additionally, the use of starch-based films in the food industry is preferable due to their biocompatibility and biodegradability characteristics.
一种由十种酸碱指示剂嵌入到淀粉基薄膜中组成的可逆光电鼻被提出,该薄膜覆盖了很宽的 pH 范围。淀粉基质无味、生物相容、灵活,并且具有高抗张强度。这个光学人工嗅觉系统通过暴露于三种食品(牛肉、鸡肉和猪肉)变质过程中产生的挥发性化合物来检测食品分解的早期阶段。智能手机用于捕获由于每个染料与发射的挥发性化合物之间的分子间相互作用而随时间产生的颜色变化。对数字图像进行处理以生成差分颜色图,该图使用观察到的颜色偏移为每种食品创建独特的特征。为了有效地在不同的样本和暴露时间之间进行区分,我们使用了化学计量工具,包括层次聚类分析(HCA)和主成分分析(PCA)。这种方法以实用、经济高效和用户友好的方式检测食物变质,使其适用于智能包装。此外,由于淀粉基薄膜具有生物相容性和可生物降解性,因此在食品工业中使用更为理想。