2013
DOI: 10.1631/jzus.b1200153
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Enhancing production of a 24-membered ring macrolide compound by a marine bacterium using response surface methodology

Abstract: A 24-membered ring macrolide compound, macrolactin A has potential applications in pharmaceuticals for its anti-infectious and antiviral activity. In this study, macrolactin A was produced by a marine bacterium, which was identified as Bacillus subtilis by 16S ribosomal RNA (rRNA) sequence analysis. Electrospray ionization mass spectrometry (ESI/MS) and nuclear magnetic resonance (NMR) spectroscopy analyses were used to characterize this compound. To improve the production, response surface methodology (RSM) i… Show more

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Cited by 10 publications
(8 citation statements)
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“…S3) with that of the predicted one (Predicted R 2 = 0.988). As a general rule, closer the R 2 value to 1, the model is considered stronger to predict the responses [28]. The observed R 2 value was also similar to many earlier reports [29,30].…”
Section: Discussionsupporting
confidence: 89%
“…S3) with that of the predicted one (Predicted R 2 = 0.988). As a general rule, closer the R 2 value to 1, the model is considered stronger to predict the responses [28]. The observed R 2 value was also similar to many earlier reports [29,30].…”
Section: Discussionsupporting
confidence: 89%
“…The developed model was found to be very effective in optimizing the selected medium components evident from R 2 value 0.9264. The closer R 2 is to 1, the stronger is the model to predict the response ( Chen et al, 2013 ). The observed R 2 value was comparable with the earlier reports ( Wang et al, 2011 ; Rajeswari et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…Accuracy of the model can be checked by the determination of coefficient of R 2 . The closer the value of R 2 to 1, the stronger the model to predict the response [34]. The model R 2 of 0.9972 implied that model equation could explain 99.72% of the total variation in the response.…”
Section: Resultsmentioning
confidence: 99%