Development of drying system by using internet of things for food quality monitoring and controlling

IF 8 Q1 ENERGY & FUELS Energy nexus Pub Date : 2023-09-01 DOI:10.1016/j.nexus.2023.100219
Nikita Mishra , S.K. Jain , N. Agrawal , N.K. Jain , Nikita Wadhawan , N.L. Panwar
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Abstract

One of the essential aspects in managing food safety is the drying, which helps to preserve food quality and extend the shelf life of food products. The temperature, relative humidity (RH), and air velocity in dryers should be carefully monitored and maintained to ensure food quality and safety during the drying process. Also, the components of heat pump dryers are at risk due to the electric current, the high temperature surrounding the condensing unit's compressor, and the high air velocity of the drying environment. These elements affect the quality of the foods being dried, and being able to communicate alerts in real-time is essential for taking precautions against hazards that can damage the dryer's internal components. Food technology's IoT-based control (IoT-BC) system with multipurpose sensors offers options for managing the post-harvest quality of leaves as they are being dried. This study set out to design and evaluates an IoT-BC system in order to remotely control, alert of imminent hazards, and monitor the microclimate parameters, including RH, temperature, and air velocity. The impacts of the created IoT-based drying system on the quality of dried leafy vegetables were also investigated utilizing a unique dryer as a case study. The results showed that the created IoT-BC system accurately maintained the drying environment, provided reliable data about the internal microclimate atmosphere of the dryer, and provided the appropriate alarm in case of an emergency and this was based on real-time data analyses. The most important quality characteristics for dried leaves were not significantly different between the IoT-based dryer and the conventional dryer dependant on drying time. Rehydration capacity decreased with the increase in the drying air temperature from 40 to 70 °C and was maximum (6.48) at 40 °C for coriander leaves and maximum (5.59) at 40 °C for Mint leaves dried in IoT based dryer. Maximum crude fibre and protein contents for mint leaves dried in an IoT-based drier were at 40 °C and were 4.97 mg/100 g and 10.62 mg/100 g, respectively. Maximum crude fibre and protein contents for coriander leaves dried in this method were 3.76 mg/100 g and 12.23 mg/100 g, respectively. The IoT based dryer kept the leaves' superior qualities throughout the drying process as a result.

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利用物联网技术开发食品质量监控干燥系统
食品安全管理的一个重要方面是干燥,这有助于保持食品质量并延长食品的保质期。应仔细监测和维护烘干机中的温度、相对湿度和空气速度,以确保食品在烘干过程中的质量和安全。此外,由于电流、冷凝机组压缩机周围的高温以及干燥环境的高空气速度,热泵干燥器的部件也面临风险。这些因素会影响被烘干食品的质量,能够实时传达警报对于预防可能损坏烘干机内部组件的危险至关重要。食品技术的基于物联网的控制(IoT BC)系统具有多功能传感器,可用于管理收割后干燥叶片的质量。本研究旨在设计和评估物联网BC系统,以远程控制、警报迫在眉睫的危险,并监测小气候参数,包括相对湿度、温度和空气速度。还利用一台独特的烘干机作为案例研究,研究了所创建的基于物联网的烘干系统对干叶蔬菜质量的影响。结果表明,所创建的物联网BC系统准确地维持了干燥环境,提供了有关干燥机内部小气候氛围的可靠数据,并在紧急情况下提供了适当的警报,这是基于实时数据分析的。根据干燥时间的不同,基于物联网的干燥机和传统干燥机的干叶最重要的质量特性没有显著差异。再水合能力随着干燥空气温度从40°C升高到70°C而降低,在40°C时香菜叶的再水合能力最大(6.48),在基于物联网的干燥机中干燥的薄荷叶的再脱水能力最大(5.59)。在基于物联网的干燥机中干燥的薄荷叶的最大粗纤维和蛋白质含量在40°C时分别为4.97 mg/100 g和10.62 mg/100 g。用这种方法干燥的香菜叶的最大粗纤维和蛋白质含量分别为3.76mg/100g和12.23mg/100g。因此,基于物联网的干燥机在整个干燥过程中保持了树叶的卓越品质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
期刊最新文献
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