Dataset on the optimization by response surface methodology for dried banana products using greenhouse solar drying in Thailand
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Torpong Kreetachat, Saksit Imman, Kowit Suwannahong, Surachai Wongcharee, Nopparat Suriyachai, Trairat Muangthong-on
ผู้เผยแพร่: Elsevier
ปีที่เผยแพร่ (ค.ศ.): 2023
Volume number: 49
หน้าแรก: 109370
eISSN: 2352-3409
URL: https://www.sciencedirect.com/science/article/pii/S2352340923004870?via%3Dihub
บทคัดย่อ
The banana industry in Thailand holds immense potential, driven by favorable growing conditions, robust domestic consumption, and active participation in the export market. Solar dryers have the potential to revolutionize fruit processing by providing a sustainable, cost-effective, and nutritionally rich solution. This research aims to optimize the greenhouse solar drying process for bananas using response surface methodology. The specific variables under investigation are drying temperature and drying time. A designed greenhouse solar dryer, tailored for commercial use in the target area, was employed for the experiment. Statistical analysis and response surface methodology were utilized to evaluate the effects of the experimental variables on two key outputs: moisture content and color change of the dried banana product.
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