2019
DOI: 10.1016/j.talanta.2018.10.048
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Optimization of on-chip bacterial culture conditions using the Box-Behnken design response surface methodology for faster drug susceptibility screening

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Cited by 40 publications
(23 citation statements)
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“…Therefore, the results of the whole experimental design matrix were analyzed by an RSM and a mathematical model was obtained Equation (1). This is a second-order polynomial equation, in which the response of the system is considered as a function of the factors and the interactions involved [31,34].…”
Section: Run Factorsmentioning
confidence: 99%
“…Therefore, the results of the whole experimental design matrix were analyzed by an RSM and a mathematical model was obtained Equation (1). This is a second-order polynomial equation, in which the response of the system is considered as a function of the factors and the interactions involved [31,34].…”
Section: Run Factorsmentioning
confidence: 99%
“…Polymyxin B, an antibiotic primarily used to treat resistant bacterial infections, was selected as a model antibiotic in the view of development a microdevice to test bacterial resistance. The microbial resistance to antibiotics represents a huge well-known problem in medicine related to the excessive use of antibiotics as well as unhealthy life style [40]. It is interesting that a lot of NPs have antibacterial activity [41], however, resistance of bacteria to…”
Section: Introductionmentioning
confidence: 99%
“…The center point (0, 0, 0) was repeated five times, and the same predicted value was obtained each time, demonstrating a perfect fit between the factors and response. The precise values of the five replicates differed slightly, but within the margin of error . Using the Design Expert software, a multiple regression analysis of the experimental data was performed to obtain the coefficients and the corresponding equation to estimate the response.…”
Section: Resultsmentioning
confidence: 99%
“…The precise values of the five replicates differed slightly, but within the margin of error. 19 Using the Design Expert software, a multiple regression analysis of the experimental data was performed to obtain the coefficients and the corresponding equation to estimate the response. The obtained secondorder polynomial equation shows the relationship between the yield of L-PPT and the three variables:…”
Section: Optimum Reaction Time Of Racemizationmentioning
confidence: 99%