Atheer Abdul Amir Al-Mtury, Asaad R. Al-Hilphy, Sabah Malik Al-Shatty, Mohsen Gavahian
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引用次数: 0
摘要
本研究旨在通过采用可替代的可持续加热方法来减少罐装过程中的能源消耗和加工时间。开发了一个由配备物联网(IoT)的红外加热蒸汽发生器(RIR)驱动的中试规模的蒸馏器,随后在不同时间(10-20分钟)、温度(110°C - 121°C)和输入功率(1.7-2.7 kW)下对鱼罐灭菌过程进行了验证。分析了该系统的热性能和蒸汽的物理化学性质,并与传统的蒸馏(CR)进行了比较,然后利用自适应神经模糊推理系统(ANFIS)进行了过程预测。结果表明,RIR和CR制汽的比能耗(SEC)分别为14,544和21,429 kJ/kg,能源利用效率大幅提高(> 32%)。在2.7 kW时,RIR的蒸汽产生效率比CR高22% (66.93% vs. 54.92%),加热速度快30%(2.92°C/min vs. 2.25°C/min),产生116°C蒸汽的时间缩短38% (20.01 vs. 32.20 min)。增加功率可提高蒸汽的导电性和生产率。较长的灭菌时间和较高的灭菌温度提高了累积致死率,RIR和CR的最大值分别为26.39 min和17.26 min。在降低能耗的同时达到最高灭菌度的最佳RIR温度和时间为116℃和15 min。该系统可通过提高工艺效率(66.93%)、降低运营成本(17.58%)和减少温室气体排放(17.60%),同时通过工艺创新提高产品质量和安全性,实现罐头食品的可持续生产。
New Infrared-Powered Retort at Different Times and Temperatures: Updating Conventional Thermal Sterilization for a More Sustainable Canning Process and Cleaner Food Production
This study aims to reduce energy consumption and processing time in the canning process by employing an alternative sustainable heating approach. A pilot-scale retort powered by an infrared-heating steam generator (RIR) equipped with the Internet of Things (IoT) was developed, followed by verification for the fish can sterilization process at various times (10–20 min), temperatures (110°C–121°C), and input powers (1.7–2.7 kW). The system's thermal performance and steam's physicochemical properties were analyzed and compared with conventional retorting (CR), followed by process prediction by an adaptive neuro-fuzzy inference system (ANFIS). According to the results, specific energy consumption (SEC) for steam generation by RIR and CR was 14,544 and 21,429 kJ/kg, indicating a substantial enhancement in energy utilization efficiency (> 32%). At 2.7 kW, RIR was superior to CR with 22% higher steam generation efficiency (66.93% vs. 54.92%), 30% faster heating rate (2.92°C/min vs. 2.25°C/min), and 38% shorter time for delivering 116°C steam (20.01 vs. 32.20 min). Increasing power enhanced steam electrical conductivity and productivity. Longer sterilization time and higher temperatures enhanced cumulative lethality, with a maximum value of 26.39 and 17.26 min for RIR and CR, respectively. The optimal RIR temperature and time to achieve the highest sterilization degree with reduced consumed energy were 116°C and 15 min. The come-up time for the can's cold point was 21 min in RIR, about 48% of CR. The proposed RIR system can contribute to sustainable canned food production by increasing process efficiency (66.93%), reducing operation costs (17.58%), and reducing greenhouse gas emissions (17.60%) while enhancing product quality and safety through process innovation.
期刊介绍:
This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.