Development of prediction model and experimental validation in predicting the curcumin content of turmeric (Curcuma longa L.)

Development of prediction model and experimental validation in predicting the curcumin content of turmeric (Curcuma longa L.)

The drug yielding potential of turmeric (Curcuma longa L.) is largely due to the presence of phyto-constituent ‘curcumin’. Curcumin has been found to possess a myriad of therapeutic activities ranging from anti-inflammatory to neuroprotective. Lack of requisite high curcumin containing genotypes and...

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Bibliographic Details
Main Authors: Abdul Akbar, Ananya Kuanar, Raj Kumar Joshi, I Sriram Sandeep, Sujata Mohanty, Dr. Pradeep Kumar Naik, Antaryami Mishra, Sanghamitra Nayak
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-10-01
Series:Frontiers in Plant Science
Subjects:
Curcumin
prediction
optimization
turmeric
artificial neural network
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2016.01507/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2016.01507/full

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