Study on optimization of microwave roasting process and fracture force relationship of Arabica coffee

Authors

ZHANG Fujie, College of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
WANG Lu, College of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
YANG Wei, College of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
LI Mengli, College of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
LI Lixia, College of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
JIANG Kuaile, College of Tropical Crops, Yunnan Agricultural University, Puer, Yunnan 665000, China
LI Xiaoqing, PLA 69223, Akesu, Xinjiang 842300, China

Abstract

With the power density, roasting time, spinning speed of roller and wind speed of microwave as the experimental factors, and the bulk density and roasting color value of coffee beans as the indexes for evaluation, the single factor test and the four-factor four-level (44) orthogonal test were conducted. It was shown by the results of optimization that the optimal technology parameters were: the microwave power density 8 W/g, the roasting time 12 min, the speed of roller 70 r/min, and the wind speed 1.5 m/s. Through experiments, it was confirmed that the bulk density of microwave roasted coffee beans under the optimized technology parameters was 0.286 g/mL, and the baking color value was 32.1. Moreover, with the degree of roasting being dark, no coking occurred in coffee beans and the quality was good. The prediction model of fracture force for coffee bean was obtained by regression fitting, with the determination coefficeint of 0.998 after cerrection, good model fitting, and there is obvious relationship of quadratic regression between fracture force F, bulk density b, and roasting chromatic value C.

Publication Date

6-28-2019

First Page

182

Last Page

187,221

DOI

10.13652/j.issn.1003-5788.2019.06.033

Recommended Citation

Fujie, ZHANG; Lu, WANG; Wei, YANG; Mengli, LI; Lixia, LI; Kuaile, JIANG; and Xiaoqing, LI (2019) "Study on optimization of microwave roasting process and fracture force relationship of Arabica coffee," Food and Machinery: Vol. 35: Iss. 6, Article 33.
DOI: 10.13652/j.issn.1003-5788.2019.06.033
Available at: https://www.ifoodmm.cn/journal/vol35/iss6/33

References

[1] 李荣福, 李亚男, 罗坤. 浅析云南咖啡产业的现状与发展策略[J]. 农业科技管理, 2011, 30(5): 71-74.
[2] 付晓萍, 张云鹤, 谷大海. 云南小粒种咖啡果皮粗提取物对人脐静脉内皮细胞抗氧化损伤的研究[J]. 食品科技, 2016, 41(12): 183-188.
[3] 何红艳, 文志华, 李国鹏. 咖啡采后处理及初加工技术[J]. 广东农业科技, 2018(12): 119-120.
[4] 吕文佳, 刘云, 杨剀舟, 等. 咖啡主要烘焙风味物质的形成及变化规律[J]. 食品工业科技, 2015, 36(3): 394-400.
[5] 李树君. 农产品微波组合干燥技术[M]. 北京: 中国科学技术出版社, 2015: 6-21.
[6] 李雨露, 毕海燕, 宋立. 微波焙烤花生米工艺技术研究[J]. 现代食品科技, 2012, 28(10): 1 374-1 422.
[7] UYSAL N, SUMNU G, SAHIN S. Optimization of microwave-infrared roasting of hazelnut[J]. Journal of Food Engineering, 2009, 90(2): 255-261.
[8] BEHERA S, NAGARAJAN S, RAO L. Microwave heating and conventional roasting of cumin seeds and effect on chemical composition of volatiles[J]. Food Chemistry, 2004, 87(1): 25-29.
[9] BOLEK S, OZDEMIR M. Optimization of roasting condi-tions of microwave roasted Pistacia terebinthus beans[J]. LWT-Food Science and Technology, 2017, 86: 327-336.
[10] 周斌, 任洪涛. 烘焙程度对云南小粒咖啡香气品质的影响[J]. 食品研究与开发, 2014, 35(22): 68-73.
[11] 周斌, 任洪涛. 烘焙时间对云南小粒咖啡挥发性成分影响的研究[J]. 现代食品科技, 2015, 35(1): 236-244.
[12] TRAN Van-cuong, 张宗玲, 郭康权, 等. 咖啡豆的烘焙条件对其成分含量的影响研究[J]. 食品研究与开发, 2016, 37(1): 33-38.
[13] 蔡瑞玲, 韩英素, 赵晋府, 等. 焙炒条件对咖啡风味影响的研究[J]. 饮料工业, 2003, 6(6): 32-38.
[14] 宋瑞凯, 张付杰, 杨薇, 等. 矩形微波腔体双馈口位置与加热效率仿真及验证[J]. 昆明理工大学学报, 2017, 42(6): 51-57.
[15] 田口护. 咖啡品鉴大全[M]. 沈阳: 辽宁科学技术出版社, 2009: 30-37.
[16] 李梦丽, 张付杰, 杨薇, 等. 云南小粒咖啡烘焙工艺优化及总糖含量的测定[J/OL]. 食品工业科技， [2018-10-16]. http://kns.cnki.net/kcms/detail/11.1759.TS.20181009.1540.042.html.