Zhang Xiaoshuan, Wang Xuepei, Xing Shaohua, Ma Yunfei, Wang Xiang
Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
College of Food Engineering, Ludong University, Yantai 264025, China.
Foods. 2020 May 8;9(5):602. doi: 10.3390/foods9050602.
The market demand for fresh sweet cherries in China has experienced continuous growth due to its rich nutritional value and unique taste. Nonetheless, the characteristics of fruits, transportation conditions and uneven distribution pose a huge obstacle in keeping high quality, especially in express logistics. This paper proposes dynamic monitoring and quality assessment system (DMQAS) to reduce the quality loss of sweet cherries in express logistics. The DMQAS was tested and evaluated in three typical express logistics scenarios with "Meizao" sweet cherries. The results showed that DMQAS could monitor the changes of critical micro-environmental parameters (temperature, relative humidity, O, CO and CH) during the express logistics, and the freshness prediction model showed high accuracy (the relative error was controlled within 10%). The proposed DMQAS could provide complete and accurate microenvironment data and can be used to further improve the quality and safety management of sweet cherries during express logistics.
由于其丰富的营养价值和独特的口感，中国对新鲜甜樱桃的市场需求持续增长。尽管如此，水果的特性、运输条件和分布不均在保持高品质方面构成了巨大障碍，尤其是在快递物流中。本文提出了动态监测与质量评估系统（DMQAS），以减少甜樱桃在快递物流中的质量损失。DMQAS在三个使用“美早”甜樱桃的典型快递物流场景中进行了测试和评估。结果表明，DMQAS可以监测快递物流过程中关键微环境参数（温度、相对湿度、氧气、二氧化碳和乙烯）的变化，并且新鲜度预测模型显示出很高的准确性（相对误差控制在10%以内）。所提出的DMQAS可以提供完整准确的微环境数据，并可用于进一步改善甜樱桃在快递物流过程中的质量和安全管理。
