Optimization of fermentation medium for triterpenoid production from <Emphasis Type="Italic">Antrodia camphorata</Emphasis> ATCC 200183 using artificial intelligence-based techniques |
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Authors: | Zhen-Ming Lu Jian-Yong Lei Hong-Yu Xu Jing-Song Shi Zheng-Hong Xu |
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Institution: | (1) Laboratory of Pharmaceutical Engineering, School of Medicine and Pharmaceutics, Jiangnan University, 1800 Lihu Avenue, Wuxi, 214122, People’s Republic of China;(2) Laboratory of Bioactive Products Process Engineering, School of Medicine and Pharmaceutics, Jiangnan University, Wuxi, 214122, People’s Republic of China;(3) Laboratory of Drug Design and Molecular Pharmacology, School of Medicine and Pharmaceutics, Jiangnan University, Wuxi, 214122, People’s Republic of China; |
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Abstract: | In this study, alteration in morphology of submergedly cultured Antrodia camphorata ATCC 200183 including arthroconidia, mycelia, external and internal structures of pellets was investigated. Two optimization
models namely response surface methodology (RSM) and artificial neural network (ANN) were built to optimize the inoculum size
and medium components for intracellular triterpenoid production from A. camphorata. Root mean squares error, R
2, and standard error of prediction given by ANN model were 0.31%, 0.99%, and 0.63%, respectively, while RSM model gave 1.02%,
0.98%, and 2.08%, which indicated that fitness and prediction accuracy of ANN model was higher when compared to RSM model.
Furthermore, using genetic algorithm (GA), the input space of ANN model was optimized, and maximum triterpenoid production
of 62.84 mg l−1 was obtained at the GA-optimized concentrations of arthroconidia (1.78 × 105 ml−1) and medium components (glucose, 25.25 g l−1; peptone, 4.48 g l−1; and soybean flour, 2.74 g l−1). The triterpenoid production experimentally obtained using the ANN–GA designed medium was 64.79 ± 2.32 mg l−1 which was in agreement with the predicted value. The same optimization process may be used to optimize many environmental
and genetic factors such as temperature and agitation that can also affect the triterpenoid production from A. camphorata and to improve the production of bioactive metabolites from potent medicinal fungi by changing the fermentation parameters. |
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