<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ushakiranmayi Managamuri</style></author><author><style face="normal" font="default" size="100%">Muvva Vijayalakshmi</style></author><author><style face="normal" font="default" size="100%">Mani Deepa Indupalli</style></author><author><style face="normal" font="default" size="100%">Venkat Siva Rama Krishna Ganduri</style></author><author><style face="normal" font="default" size="100%">Satish Babu Rajulapati</style></author><author><style face="normal" font="default" size="100%">Sudhakar Poda</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Improved Bioactive Metabolite Production by Saccharopolyspora halotolerans VSM-2 Using Response Surface Methodology and Unstructured Kinetic Modelling</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacognosy Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bioactive metabolites</style></keyword><keyword><style  face="normal" font="default" size="100%">Kinetic Modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Optimization</style></keyword><keyword><style  face="normal" font="default" size="100%">Response Surface Methodology</style></keyword><keyword><style  face="normal" font="default" size="100%">Saccharopolyspora halotolerans</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">August 2018</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">10</style></volume><pages><style face="normal" font="default" size="100%">833-840</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;&lt;strong&gt;Background:&lt;/strong&gt; This study targets to optimize and analyse the interactive effects of process variables for improved bioactive metabolite production using RSM and unstructured kinetic modelling by &lt;em&gt;S. halotolerans &lt;/em&gt; VSM 2.&lt;strong&gt; Materials and Methods:&lt;/strong&gt; RSM was applied to optimize the interactive effects of five variables, viz., time of incubation, pH, temperature, concentration of maltose and meat extract on bioactive metabolite production and its effect against the five responses viz., &lt;em&gt;S. flexneri, S. marcescens, P. vulgaris, P. aeruginosa&lt;/em&gt; and&lt;em&gt; E. coli.&lt;/em&gt; Models of Logistic and Luedeking-Piret were used to simulate the cellular increase and bioactive metabolite production. &lt;strong&gt;Results:&lt;/strong&gt; RSM optimal conditions for the bioactive metabolite production recorded were incubation time (12days), pH (8), and temperature (250C), concentrations of maltose and meat extract (1 % w/v) (each). The effect of the bioactive metabolite produced (zone of inhibition) against the responses were found to be 17 mm for&lt;em&gt; S. flexneri,&lt;/em&gt; 17 mm for &lt;em&gt;S. marcescens&lt;/em&gt;, 16 mm for P. vulgaris, 17 mm for P. aeruginosa and 18 mm for E coli. The data obtained from experimental values are in close agreement with the predicted values of RSM. Model adequacy was evaluated using ANOVA variance where the quadratic effect of&lt;em&gt; p&lt;/em&gt;&amp;lt;0.0001 which imply the significance of the model. The unstructured-, mathematical- kinetic models provided a better approximation of profiles of&lt;em&gt; S. halotolerans&lt;/em&gt; VSM 2 growth, optimized media utilization and bioactive metabolite production. &lt;strong&gt;Conclusion:&lt;/strong&gt; Optimization of the independent variables for the production of the bioactive metabolite using RSM by &lt;em&gt;S. halotolerans&lt;/em&gt; VSM 2 and its effect against the five responses were documented. The predicted values are in good agreement with the experimental values. Unstructured models provided a better approximation of kinetic profiles for bioactive metabolite production by&lt;em&gt; S. halotolerans&lt;/em&gt; VSM 2.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original Article</style></work-type><section><style face="normal" font="default" size="100%">833</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;Ushakiranmayi Managamuri&lt;sup&gt;1&lt;/sup&gt;, Muvva Vijayalakshmi&lt;sup&gt;1&lt;/sup&gt;*, Mani Deepa Indupalli&lt;sup&gt;1&lt;/sup&gt;, Venkat Siva Rama Krishna Ganduri&lt;sup&gt;2&lt;/sup&gt;, Satish Babu Rajulapati&lt;sup&gt;3&lt;/sup&gt;, Sudhakar Poda&lt;sup&gt;4 &lt;/sup&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;sup&gt;1&lt;/sup&gt;Department of Botany and Microbiology, Acharya Nagarjuna University, Nagarjunanagar, Guntur-52510, Andhra Pradesh, INDIA.&lt;/p&gt;
&lt;p&gt;&lt;sup&gt; 2&lt;/sup&gt;Department of Biotechnology, K L University, Vaddeswaram, Guntur, Andhra Pradesh, INDIA.&lt;/p&gt;
&lt;p&gt;&lt;sup&gt;3&lt;/sup&gt;Department of Biotechnology, National Institute of Technology, Warangal, Telangana, INDIA.&lt;/p&gt;
&lt;p&gt;&lt;sup&gt;4&lt;/sup&gt;Department of Biotechnology, Acharya Nagarjuna University, Nagarjunanagar, Guntur-52510, Andhra Pradesh, INDIA.&lt;/p&gt;</style></auth-address></record></records></xml>