Yu Jiahang, Huang Mingyuan, Tian Huixin, Xu Xinglian
State Key Laboratory of Meat Quality Control and Cultured Meat Development, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
School of Biological Science and Food Engineering, Chuzhou University, Chuzhou 239000, China.
Foods. 2023 Oct 18;12(20):3814. doi: 10.3390/foods12203814.
The series of biochemical reactions, metabolic pathways, and regulatory interactions that occur during the storage of meat are the main causes of meat loss and waste. The volatile compounds produced by these reactions, such as hydrogen sulfide, acids, and amines, can directly indicate changes in the freshness of meat during storage and sales. In this study, a one-pot hydrothermal method based on a surface control strategy was used to develop nanoparticles of silver with different reactivities, which were further immobilized in agar powder to develop a colorimetric sensor array. Due to the different chemical interactions with various volatile compounds, the colorimetric sensor array exhibited distinct color changes. The study demonstrates significant differences between 12 different volatile compounds and provides a quantitative and visual method to reveal rich detection indicators. The colorimetric sensor array is an economical and practical multi-analyte identification method. It has many potential applications such as food packaging, anti-counterfeiting, health monitoring, environmental monitoring, and optical filters.
肉类储存过程中发生的一系列生化反应、代谢途径和调节相互作用是肉类损失和浪费的主要原因。这些反应产生的挥发性化合物,如硫化氢、酸和胺,可直接表明肉类在储存和销售过程中新鲜度的变化。在本研究中,基于表面控制策略的一锅水热法用于制备具有不同反应活性的银纳米颗粒,进一步将其固定在琼脂粉中以开发比色传感器阵列。由于与各种挥发性化合物的化学相互作用不同,比色传感器阵列呈现出明显的颜色变化。该研究证明了12种不同挥发性化合物之间的显著差异,并提供了一种定量和可视化的方法来揭示丰富的检测指标。比色传感器阵列是一种经济实用的多分析物识别方法。它具有许多潜在应用,如食品包装、防伪、健康监测、环境监测和光学滤波器。