In the traditional method, the single factor models can be analysed easily but the multifactorial models cannot. To avoid these limitations, the Design Expert 8.0 software was used to analysis the complex multifactorial models. In this study, four factors: assisted microwave time (10 – 20 seconds), water-to-tea ratio (1:40 – 1:80 (w/v)), extraction time (30 – 50 minutes) and temperature (77 – 87oC) were conducted and total polyphenol content was considered indicators for assessment. The preliminary results showed that this model is significant and can be applied for the large scale.
Published in |
Journal of Food and Nutrition Sciences (Volume 3, Issue 1-2)
This article belongs to the Special Issue Food Processing and Food Quality |
DOI | 10.11648/j.jfns.s.2015030102.30 |
Page(s) | 106-110 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Assisted Microwave Time, Extraction Time and Temperature, Multifactorial, Optimize, Water-To-Tea ratio, Total Polyphenol Content
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APA Style
Nguyen Ngoc Tram, Phan Phuoc Hien, Huynh Ngoc Oanh. (2015). Optimizing the Extraction Conditions of Phenolic Compounds from Fresh Tea Shoot. Journal of Food and Nutrition Sciences, 3(1-2), 106-110. https://doi.org/10.11648/j.jfns.s.2015030102.30
ACS Style
Nguyen Ngoc Tram; Phan Phuoc Hien; Huynh Ngoc Oanh. Optimizing the Extraction Conditions of Phenolic Compounds from Fresh Tea Shoot. J. Food Nutr. Sci. 2015, 3(1-2), 106-110. doi: 10.11648/j.jfns.s.2015030102.30
AMA Style
Nguyen Ngoc Tram, Phan Phuoc Hien, Huynh Ngoc Oanh. Optimizing the Extraction Conditions of Phenolic Compounds from Fresh Tea Shoot. J Food Nutr Sci. 2015;3(1-2):106-110. doi: 10.11648/j.jfns.s.2015030102.30
@article{10.11648/j.jfns.s.2015030102.30, author = {Nguyen Ngoc Tram and Phan Phuoc Hien and Huynh Ngoc Oanh}, title = {Optimizing the Extraction Conditions of Phenolic Compounds from Fresh Tea Shoot}, journal = {Journal of Food and Nutrition Sciences}, volume = {3}, number = {1-2}, pages = {106-110}, doi = {10.11648/j.jfns.s.2015030102.30}, url = {https://doi.org/10.11648/j.jfns.s.2015030102.30}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfns.s.2015030102.30}, abstract = {In the traditional method, the single factor models can be analysed easily but the multifactorial models cannot. To avoid these limitations, the Design Expert 8.0 software was used to analysis the complex multifactorial models. In this study, four factors: assisted microwave time (10 – 20 seconds), water-to-tea ratio (1:40 – 1:80 (w/v)), extraction time (30 – 50 minutes) and temperature (77 – 87oC) were conducted and total polyphenol content was considered indicators for assessment. The preliminary results showed that this model is significant and can be applied for the large scale.}, year = {2015} }
TY - JOUR T1 - Optimizing the Extraction Conditions of Phenolic Compounds from Fresh Tea Shoot AU - Nguyen Ngoc Tram AU - Phan Phuoc Hien AU - Huynh Ngoc Oanh Y1 - 2015/01/29 PY - 2015 N1 - https://doi.org/10.11648/j.jfns.s.2015030102.30 DO - 10.11648/j.jfns.s.2015030102.30 T2 - Journal of Food and Nutrition Sciences JF - Journal of Food and Nutrition Sciences JO - Journal of Food and Nutrition Sciences SP - 106 EP - 110 PB - Science Publishing Group SN - 2330-7293 UR - https://doi.org/10.11648/j.jfns.s.2015030102.30 AB - In the traditional method, the single factor models can be analysed easily but the multifactorial models cannot. To avoid these limitations, the Design Expert 8.0 software was used to analysis the complex multifactorial models. In this study, four factors: assisted microwave time (10 – 20 seconds), water-to-tea ratio (1:40 – 1:80 (w/v)), extraction time (30 – 50 minutes) and temperature (77 – 87oC) were conducted and total polyphenol content was considered indicators for assessment. The preliminary results showed that this model is significant and can be applied for the large scale. VL - 3 IS - 1-2 ER -