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Medicinal Plants: Towards Optimization and Prediction of Drug Yield

-15% su kodu: ENG15
48,81 
Įprasta kaina: 57,42 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
48,81 
Įprasta kaina: 57,42 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 57.4200 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Sanghamitra Nayak, Suprava Sahoo, Shikha Singh,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2018
Knygos puslapių skaičius: 64
ISBN-10: 6139912067
ISBN-13: 9786139912063
Formatas: 220 x 150 x 4 mm. Knyga minkštu viršeliu
Kalba: Anglų

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