Withania somnifera (L.) Dunal: Enhanced production of withanolides and phenolic acids from hairy root culture after application of elicitors.

Withania somnifera (L.) Dunal is an important indigenous medicinal plant with extensive pharmaceutical potential. The root is the main source of major bioactive compounds of this plant species including withanolides, withanine, phenolic acids, etc. Hairy root culture (HRC) is a crucial method for low-cost production of active compounds on a large scale. Four different Agrobacterium rhizogenes strains have been used for the hairy root induction. Maximum transformation efficiency (87.34 ± 2.13%) was achieved with A4 bacterial strain-mediated transformed culture. The genetic transformation was confirmed by using specific primers of seven different genes. Seven HR (Hairy root) lines were selected after screening 29 HR lines based on their fast growth rate and high accumulation of withanolides and phenolic acids content. Two biotic and three abiotic elicitors were applied to the elite root line to trigger more accumulation of withanolides and phenolic acids. While all the elicitors effectively increased withanolides and phenolic acids production, among the five different elicitors, salicylic acid (4.14 mg l-1) induced 11.49 -fold increase in withanolides (89.07 ± 2.75 mg g-1 DW) and 5.34- fold increase in phenolic acids (83.69 ± 3.11 mg g- 1 DW) after 5 days of elicitation compared to the non-elicited culture (7.75 ± 0.63 mg g-1 DW of withanolides and 15.66 ± 0.92 mg g-1 DW of phenolic acids). These results suggest that elicitors can tremendously increase the biosynthesis of active compounds in this system; thus, the HRC of W. somnifera is cost-effective and can be efficiently used for the industrial production of withanolides and phenolic acids.

Application of a Multilayer Perceptron Artificial Neural Network for the Prediction and Optimization of the Andrographolide Content in Andrographis paniculata.

Andrographolide, the principal secondary metabolite of Andrographis paniculata, displays a wide spectrum of medicinal activities. The content of andrographolide varies significantly in the species collected from different geographical regions. Therefore, this study aims at investigating the role of different abiotic factors and selecting suitable sites for the cultivation of A. paniculata with high andrographolide content using a multilayer perceptron artificial neural network (MLP-ANN) approach. A total of 150 accessions of A. paniculata collected from different regions of Odisha and West Bengal in eastern India showed a variation in andrographolide content in the range of 0.28-5.45% on a dry weight basis. The MLP-ANN was trained using climatic factors and soil nutrients as the input layer and the andrographolide content as the output layer. The best topological ANN architecture, consisting of 14 input neurons, 12 hidden neurons, and 1 output neuron, could predict the andrographolide content with 90% accuracy. The developed ANN model showed good predictive performance with a correlation coefficient (R2) of 0.9716 and a root-mean-square error (RMSE) of 0.18. The global sensitivity analysis revealed nitrogen followed by phosphorus and potassium as the predominant input variables influencing the andrographolide content. The andrographolide content could be increased from 3.38% to 4.90% by optimizing these sensitive factors. The result showed that the ANN approach is reliable for the prediction of suitable sites for the optimum andrographolide yield in A. paniculata.

Effect of different drying treatments on the physicochemical, functional, and antioxidant properties of Bacopa monnieri.

Bacopa monnieri (L.) Wettst is a very high-value medicinal plant that is commonly used for improving cognitive functions. However, the availability of very limited information on the drying method of B. monnieri has prompted to optimize a suitable drying method. The present study therefore aimed to evaluate the influence of the following six drying treatments on the quality of B. monnieri sample: microwave drying at 300 W and 600 W, hot air-drying at 50°C and 70°C, solar drying, and freeze-drying (FD). The quality attributes of the dried samples were comparatively analyzed in terms of color, total color difference, moisture content, water activity (a w), antioxidant activity, and bacoside A and bacopaside I content. The results of this study showed significant differences (P < 0.05) among the different drying methods in International Commission on Illumination (CIE) parameters, namely lightness index (L*), red-green index (a*), and yellow-blue index (b*), ΔE and a values. Among the samples dried with the six drying methods, freeze-dried B. monnieri samples had an attractive color with the lowest total color difference value (11.415%), a w value (0.15%), and maximum bacoside A (3.389%) and bacopaside I (0.620%) content. Moreover, Fourier transform infrared spectroscopy (FT-IR) analysis showed no major difference in the functional groups in B. monnieri samples processed by the different drying methods. Considering the retention of quality after drying, FD was found to be very effective for future large-scale production of good quality dried B. monnieri products.