2020
DOI: 10.3390/ijerph17061973
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Optimization of Culture Conditions for Amoxicillin Degrading Bacteria Screened from Pig Manure

Abstract: (1) Objective: The objective of this study was to screen amoxicillin (AMX)-degrading bacterial strains in pig manure and optimize the fermentation conditions for these strains to achieve high fermentation rate, which can provide an effective way for the practical application of bacterial strains as antibiotic-degrading bacterial in treating livestock waste for antibiotic residues. (2) Methods: Antibiotic susceptibility tests and high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) were … Show more

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Cited by 23 publications
(16 citation statements)
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“…Therefore, these 3 factors were optimized using D-optimal experimental design in RSM. RSM is an efficient technique that can determine the best fermentation conditions for a multi-variable system mathematically and statistically [ 41 ]. It is favorable over classical optimization methods because it is fast, reliable, helps understand the effect of varying concentrations of nutrients and leads to a substantial reduction in total number of runs therefore saving time, chemicals and manpower [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, these 3 factors were optimized using D-optimal experimental design in RSM. RSM is an efficient technique that can determine the best fermentation conditions for a multi-variable system mathematically and statistically [ 41 ]. It is favorable over classical optimization methods because it is fast, reliable, helps understand the effect of varying concentrations of nutrients and leads to a substantial reduction in total number of runs therefore saving time, chemicals and manpower [ 42 ].…”
Section: Discussionmentioning
confidence: 99%
“…El-Naggar et al (2013) also described that Gram-positive and Gram-negative bacteria can be effectively inhibited by prevalent antibiotics; furthermore, the antibiotic resistance was greatly due to the application of multiple drugs available worldwide [ 3 ]. Furthermore, Anjum et al (1997) and Liu et al (1999) suggested that BBD is an efficient tool for determining the RSM for checking the optimization of various factors and conditions [ 14 , 18 ].…”
Section: Resultsmentioning
confidence: 99%
“…Further, results could be analyzed through the Box–Behnken method which is an extension of factorial design. This experimental design is arranged in such a way that each point is localized in the center and middle of the edges of a cube and increases the design points as the number of polynomial coefficients [ 14 ]. The main disadvantage of chemometry is that it could not undergo the experiment in an extreme condition where the chances of unsatisfactory results are very high [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…were optimized using D-optimal experimental design in RSM. RSM is an e cient technique that can determine the best fermentation conditions for a multi-variable system mathematically and statistically [48]. It is favorable over classical optimization methods because it is fast, reliable, helps understand the effect of varying concentrations of nutrients and leads to a substantial reduction in total number of runs therefore saving time, chemicals and manpower [49].…”
Section: Discussionmentioning
confidence: 99%