Abstract
Objective: Electronic tongue technology was used to analyze the taste of edible areca and compared with sensory evaluation to provide a more objective and accurate evaluation method. Methods: The taste of 12 different areca products from 8 enterprises was analyzed using electronic tongue, sensory evaluation, and multivariate statistical methods. Results: There were significant differences in the areca taste index between different brands; the samples were divided into three groups by principal component analysis, factor analysis and cluster analysis, and each cluster had its unique taste characteristics. Combined with the electronic tongue and sensory evaluation, the results were consistent except for sweetness. HPLC analysis determined the content of four common sweeteners in edible areca, and the four sweeteners content of cluster 3 was the highest; the content of sodium cyclamate and saccharin in cluster 1 was higher than cluster 2, and the content of sucralose was lower than cluster 2. However, the difference ofacesulfame K in cluster 1 and cluster 2 was not significant. Conclusion: electronic tongue can be used to analyze the taste of areca products and cluster similar taste products, but compared with sensory evaluation, sweetness results were different.
Publication Date
9-28-2021
First Page
200
Last Page
204
DOI
10.13652/j.issn.1003-5788.2021.09.032
Recommended Citation
Yu-zhou, CHAO; Yi, LIU; Zhi-you, ZHAO; and Yan-bin, XIA
(2021)
"Analysis of edible areca products based on electronic tongue technology,"
Food and Machinery: Vol. 37:
Iss.
9, Article 32.
DOI: 10.13652/j.issn.1003-5788.2021.09.032
Available at:
https://www.ifoodmm.cn/journal/vol37/iss9/32
References
[1] 吕俊辰, 弓宝, 孙佩文. 槟榔药用和食用安全性研究概况[J]. 中草药, 2017, 48（2）: 384-390.
[2] UNNO T, KWON S C, OKAMOTO H, et al. Receptor signaling mechanisms underlying muscarinic agonist-evoked contraction in guinea-pig ileal longitudinal smooth muscle[J]. British Journal of Pharmacology, 2010, 139（2）: 337-350.
[3] GUPTA P C, WARNAKULASURIYA S. Global epidemiology of areca nut usage[J]. Addiction Biology, 2010, 7（1）: 77-83.
[4] 朱利明. 寻味槟榔[M]. 长沙: 湖南人民出版社, 2010: 170-172.
[5] 覃伟权, 范海阔. 槟榔[M]. 北京: 中国农业大学出版社, 2010: 125.
[6] GUPTA H, SHARMA A, KUMAR S, et al. E-tongue: A tool for taste evaluation[J]. Recent Patents on Drug Delivery & Formulation, 2010, 4（1）: 82-89.
[7] 黄嘉丽, 黄宝华, 卢宇靖, 等. 电子舌检测技术及其在食品领域的应用研究进展[J]. 中国调味品, 2019, 44（5）: 189-193.
[8] 王兴亚, 庞广昌, 李阳. 电子舌与真实味觉评价的差异性研究进展[J]. 食品与机械, 2016, 32（1）: 213-216, 220.
[9] 赵志友, 巢雨舟, 袁思颂, 等. 软化方法对食用槟榔品质的影响[J]. 食品与机械, 2017, 33（7）: 189-193.
[10] 刘梦婷, 沈馨, 王念, 等. 基于电子舌技术市售番茄调味酱滋味品质的分析[J]. 食品科技, 2016（11）: 248-253.
[11] 潘玉成, 叶乃兴, 江福英, 等. 电子舌在茶叶检测识别中的应用[J]. 茶叶科学, 2016（6）: 621-630.
[12] 史庆瑞, 国婷婷, 殷廷家, 等. 基于电子舌检测的橙汁贮藏品质研究[J]. 食品与机械, 2017, 33（11）: 142-147.
[13] 李建美, 张志浩, 郑韵, 等. 基于电子舌传感技术评价不同市售啤酒滋味品质[J]. 现代食品, 2017, 12（2）: 115-119.
[14] 王银诚, 袁海波, 李佳, 等. 基于电子舌技术的红茶滋味品质评价[J]. 食品安全质量检测学报, 2017（1）: 203-209.
[15] 郭壮, 汤尚文, 王玉荣, 等. 基于电子舌技术的襄阳市售米酒滋味品质评价[J]. 食品工业科技, 2015（15）: 289-293.
[16] 吴进菊, 于博, 陈婧, 等. 基于质构仪和电子舌分析市售发酵剂对酸奶滋味品质的影响[J]. 中国食品添加剂, 2018（3）: 187-192.
[17] 吴进菊, 王越, 曾瑞萍, 等. 电子舌在绿茶饮料滋味品质评价中的应用研究[J]. 保鲜与加工, 2018, 18（4）: 114-118.
[18] 董蕴, 张一涵, 杨小丽, 等. 基于电子舌技术对甜面酱滋味品质的评价[J]. 保鲜与加工, 2019, 19（1）: 121-126.