Medicinal Plants: Towards Optimization and Prediction of Drug Yield

ISBN-13: 9786139912063 / Angielski / Miękka / 2018 / 64 str.

Sanghamitra Nayak; Suprava Sahoo; Shikha Singh

Opis

Herbal drugs are in use as medicines world over for centuries. The recent surge in demand for herbal drugs in global market, however, cannot be met due to constraints that need to be addressed immediately for their effective commercialization. A viable long-term alternative to overcome the inherent problems, therefore, is to opt for intensively monitored domestic cultivation. The immediate imperative however is to study the effect of environmental and biotic factors that affect quality and yield of phytochemicals under natural conditions. This review summarizes a list of drugs derived from different plant sources, the role of different factors influencing their production with relevant examples. We have also analyzed critically about few such factors that can be controlled under greenhouse condition for production of plants with consistently high levels of desired phytochemicals. Further, the review also emphasizes the significance of developing models like artificial neural network (ANN) and multiple linear regression (MLR) for optimization and prediction of drug yield under any situation, either natural field condition or controlled greenhouse condition.

O autorze

Nayak, Sanghamitra
Dr. Sanghamitra Nayak is presently the Professor and Head at Centre for Biotechnology, Siksha O Anusandhan University, Bhubaneswar, Odisha, India. Dr. Suprava Sahoo is working at Teaching Associate at this Centre. Dr. Shikha Singh is working as Associate Professor at Ramadevi Women University, Bhubaneswar.