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Zunlai Sheng

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Articles

Modeling and Optimization of Ellagic Acid from Chebulae Fructus Using Response Surface Methodology Coupled with Artificial Neural Network

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By Junkai Wu, Fan Yang, Liyang Guo, Zunlai Sheng
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Cloning and functional analysis of the promoter of a stress-inducible gene (Zmap) in maize

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By Bo Jin, P. R, Zunlai Sheng, Ishfaq Muhammad
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Bo Jin , Zunlai Sheng , Ishfaq Muhammad, Jianqing Chen, Hongliang Yang Bo Jin, Zunlai Sheng, Ishfaq Muhammad, Jianqing Chen, Hongliang Yang Published: February 8, 2019 https://doi.org/10.1371/journal.pone.0211941 Figures Abstract The anionic peroxidases play an important role in a variety of plant physiological processes.
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Optimization of total phenolic content from Terminalia chebula Retz. fruits using response surface methodology and evaluation of their antioxidant activities

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By Ying Zhang, Zunlai Sheng, Jiahong Zhao, Ishfaq Muhammad
| PLOS
Fig 2G showed that doubling the extraction cycle from 1 to 2 enhances significantly (p 0.05) between the extraction cycles with the value of 2 versus the value of 3, which indicated that TP has been completely extracted from the plant. In view of the extraction efficiency and energy cost, the extraction cycle 2 was chosen as the suitable extraction cycle. Fig 2F represents the yields of TP remained constant up to 25 mL/g, but decreases with increase in volume. Similarly, Sun et al.
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