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首页> 外文期刊>Applied Engineering in Agriculture >EQUILIBRIUM MOISTURE CONTENT OF KABULI CHICKPEA, BLACK SESAME, AND WHITE SESAME SEEDS
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EQUILIBRIUM MOISTURE CONTENT OF KABULI CHICKPEA, BLACK SESAME, AND WHITE SESAME SEEDS

机译：kabuli chickpea，黑色芝麻和白色芝麻的平衡水分含量

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Sesame and chickpea are important crops in Ethiopia because both are major export crops that generate much revenue for both small farmers and the country as a whole. However, there is a lack of information about the fundamental equilibrium moisture content (EMC) relationships among these crops, which would help facilitate better monitoring and storage. Therefore, EMC adsorption and desorption prediction models based on temperature (T) and relative humidity (RH) were developed for the modified Chung-Pfost and modified Henderson models for Kabuli chickpea (KC), black sesame (BS), and white sesame (WS) seeds. The samples for conducting the adsorption and desorption tests were conditioned to various moisture content (MC) levels for the EMC test models. The samples (similar to 500 g) were placed in multiple sealed enclosures equipped with T and RH sensors, which were placed in an environmental chamber where they were exposed to three temperatures (15 degrees C, 25 degrees C, and 35 degrees C). The MCdb ranges used for model development for adsorption and desorption were, respectively, 11.6% to 19.5% and 8.9% to 16.9% for KC samples, 5.0% to 8.7% and 4.3% to 6.9% for BS, and 4.2% to 8.7% and 3.5% to 7.6% for WS. Nonlinear regression was used to determine the model coefficients for the modified Henderson and modified Chung-Pfost equations. The prediction statistics for the adsorption and desorption models yielded an SEE of, respectively, 0.53% and 0.68% MCdb for KC, 0.23% and 0.13% for BS, and 0.28% and 0.25% for WS. The model coefficients obtained in this study will be used in a moisture meter based on EMC measurement, which is currently being used as part of a USAID postharvest project in various African and Asian countries. These EMC models may also be important for other grain operations, which include harvesting, drying, storage, conditioning, and processing.
机译：芝麻和鹰嘴豆是埃塞俄比亚的重要作物，因为两者都是主要出口作物，为整体而言，为小农和国家产生了很多收入。然而，缺乏关于这些作物之间的基本均衡水分含量（EMC）关系的信息，这将有助于促进更好的监测和储存。因此，基于温度（T）和相对湿度（RH）的EMC吸附和解吸预测模型用于Kabuli Chickpea（KC），黑芝麻（BS）和白色芝麻（WS ）种子。用于将吸附和解吸试验进行吸附和解吸试验的样品对EMC测试模型的各种水分含量（MC）水平。将样品（类似于500g）置于配备有T和RH传感器的多个密封外壳中，将其置于暴露于三个温度（15摄氏度，25℃和35℃）的环境室中。用于吸附和解吸的模型开发的MCDB范围分别为11.6％至19.5％和8.9％至16.9％，比BS的5.0％〜8.7％和4.3％至6.9％，4.2％至8.7％ WS的3.5％至7.6％。非线性回归用于确定修改的亨德森和改进的Chung-PFOST方程的模型系数。吸附和解吸模型的预测统计分别优异地，对于KC，0.53％和0.68％的MCDB，对BS的0.23％和0.13％，WS的0.28％和0.25％。本研究中获得的模型系数将基于EMC测量的水分计用于，目前被用作各种非洲和亚洲国家的美国公园波萨斯普齐项目的一部分。这些EMC模型对于其他谷物操作也可能是重要的，包括收获，干燥，储存，调节和加工。

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