Cause-Effect Study and Multivariate Optimization

for Extraction of Noni Fruits

To obtain good input data, the HPLC method use in scopoletin quantitation was validated for its analytical properties including suitability, linearity, precision and accuracy. It’s proven that scopoletin content was related to ethanol concentration and material-solvent ratio whereas the extraction yield was influenced by all investigated factors. Based on these cause-effect models, the extraction parameters - including ethanol concentration, material-solvent ratio and extraction times - were successfully optimized.

Noni fruits, fruits of Morinda citrifolia L. – Rubiaceae, have been used in the Vietnamese folk medicine as laxative, digestion facilitating agent, anti-hypertensive, analgesic, anti-tussive agent, etc. Morinda citrifolia crude products are available for local use and exportation, in which the radix extract can be used as a starting material for large-scale production of pharmaceuticals. Traditionally, development of extraction procedure requires extensive trial-and-error experiments. Until recently, artificial intelligent technologies have been successfully applied to enhance the efficacy of plant extraction processes.

Key words: Morinda citrifolia, intelligent software, extraction parameters, extract properties, cause-effect study and multivariant optimization

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