Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design and response surface methodology

Zhou, Jibo; Yu, Xiaojuan; Ding, Cong; Wang, Zhiping; Zhou, Qianqian; Pao, Hao; Cai, Weimin

doi:10.1016/s1001-0742(10)60369-5

Cited by 120 publications

(77 citation statements)

References 25 publications

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“…Therefore, response surface optimization could be successfully used to evaluate the performance in diesel fuel biodegradation and achieve a higher rate of its degradation in less medium volume at 168 h of fermentation time. The similarity of the predicted and observed results confi rms the validity, accuracy, and applicability of the statistical designs in optimization of bioprocesses [16,35].…”

Section: Optimizing By Rsmmentioning

confidence: 63%

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Ghanem¹,

Al-Zahrani²

2016

Pol. J. Environ. Stud.

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Section: Optimizing By Rsmmentioning

confidence: 63%

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Ghanem¹,

Al-Zahrani²

2016

Pol. J. Environ. Stud.

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“…Previously, Rocha et al (2007) isolated C. tropicalis, C. rugosa, and Pichia membranaefaciens strain; of these three strains, only C. tropicalis was capable of growing at higher phenol concentration, that is, 1000 mg/l in the minimal medium. Zhou et al (2011) designed statistical experiment and used optimized process of phenol degradation by C. tropicalis Z-04. The predicted results showed that the maximum removal efficiency of phenol (99.10%) could be obtained under the optimum conditions of yeast extract 0.41 g/l, phenol 1.03 g/l, inoculum size 1.43% (V/V) and temperature 30.04°C.…”

Section: Biodegradation Of Phenol By Free and Immobilized Cellsmentioning

confidence: 99%

“…By comparing the previous isolates for phenol degradation, it was observed that the current strain is a more efficient and degraded higher concentration of phenol. Among the various species of yeast, C. tropicalis is the most studied yeast species for its potential for phenol degradation (Yan et al, 2005;Adav et al, 2007;Zhou et al, 2011;Ahmad et al, 2013;Basak et al, 2014a;Long et al, 2014). Besides C. tropicalis, other yeast such as C. lipolytica, Candida utilis, Candida albicans, Trichosporon montevideense, and Trichosporon cutaneum were also used to degrade the phenol and its derivatives (Chen et al, 2002;Vilimkova et al, 2008;Liu et al, 2011;Gerginovaa et al, 2014).…”

Section: Biodegradation Of Phenol By Free and Immobilized Cellsmentioning

confidence: 99%

Biodegradation of phenol by free and immobilized Candida tropicalis NPD1401

Kumar¹,

Neeraj²,

Mishra³

et al. 2018

Afr. J. Biotechnol.

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The present research aimed to evaluate the free and immobilized cell of Candida tropicalis NPD1401 for phenol degradation. Immobilized cell of C. tropicalis degraded efficiently up to 98% at a concentration of 1000 mg/l of phenol whereas free cells degraded up to 63% of the same concentration under 9 days of incubation. Stored immobilized beads were reused after 15 days and found to have successfully degraded 62.1% of phenol in the mineral salt medium (MSM). Growth of C. tropicalis was observed in the phenol containing medium by measuring the dry weight of biomass (0.89 g/l at concentration 1000 mg/l) and the degradation was monitored using analytical techniques. Liquid chromatography-mass spectroscopy (LC-MS) analysis confirmed that phenol was degraded by ortho-pathways by the finding of metabolite cis, cis-muconic acid, phenyl phosphate and catechol. Next, isolated strain was identified on the basis of PCR amplification of sequence D2 region of the large subunit of 28S rDNA and it was confirmed as C. tropicalis. By observing the efficiency of the isolate it may be used for the further bioremediation purpose of the phenol contaminated site in the environments.

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“…Thereby, this method provides visual interpretation of the functional relations between the response and experimental variables. RSM assists in evaluating the main factors in the construction of models to investigate the interaction among variables and in selecting the optimum values of favorable responses and variables [12]. In the recent years, RSM has been applied to analyze, optimize and evaluate interactive effects of independent factors in numerous chemical, biochemical and bioenvironmental processes [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Optimization of Efficiency and Mixing Time in a Surface Aeration Tank

Mohammadpour¹,

Akhvan-Behabadi²,

Nosrati³

et al. 2015

IJCEA

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Abstract-In this paper, a lab-scale aerated vessel equipped with a surface aeration impeller was developed to examine standard aeration efficiency (SAE) and mixing time. The SAE and mixing specifications were investigated via variations in the operating parameters, such as rotor speed, impeller immersion depth and water height. Surface aeration was performed using a Rushton disk turbine. Results showed that variation of impeller immersion depth has a greater effect on SAE compare to changes in water level. Moreover, SAE increases with rotor speed up to about 150 to 200 rpm and then decrease. In addition, mixing time is reduced with increase in rotor speed. According to the Response surface methodology (RSM) statistical optimization, optimum values of 169 rpm, 25 mm and 30 cm were found for rotor speed, impeller immersion depth and water height respectively in the range of this study to achieve the maximum value of SAE.

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Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design and response surface methodology

Cited by 120 publications

References 25 publications

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Bioremediation of Diesel Fuel by Fungal Consortium Using Statistical Experimental Designs

Biodegradation of phenol by free and immobilized Candida tropicalis NPD1401

Evaluation and Optimization of Efficiency and Mixing Time in a Surface Aeration Tank

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