کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7072107 | 1459936 | 2016 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimization of phenol degradation by the microalga Chlorella pyrenoidosa using Plackett-Burman Design and Response Surface Methodology
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کلمات کلیدی
CCDPTFEppmPBDg/LBiodegradation - تجزیه زیستیResponse surface methodology - روش سطح پاسخRSM - روششناسی سطح پاسخCentral composite design - طراحی مرکب مرکزیPlackett–Burman design - طرح Plackett-BurmanPhenol - فنل parts per million - قطعات در میلیونmg/L - میلی گرم / لیترChlorella pyrenoidosa - کلرلا پیرنوییدا
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Optimization of phenol degradation by the microalga Chlorella pyrenoidosa using Plackett-Burman Design and Response Surface Methodology Optimization of phenol degradation by the microalga Chlorella pyrenoidosa using Plackett-Burman Design and Response Surface Methodology](/preview/png/7072107.png)
چکیده انگلیسی
Statistical optimization designs were used to optimize the phenol degradation using Chlorella pyrenoidosa. The important factor influencing phenol degradation was identified by two-level Plackett-Burman Design (PBD) with five factors. PBD determined the following three factors as significant for phenol degradation viz. algal concentration, phenol concentration and reaction time. CCD and RSM were applied to optimize the significant factors identified from PBD. The results obtained from CCD indicated that the interaction between the concentration of algae and phenol, phenol concentration and reaction time and algal concentration and reaction time affect the phenol degradation (response) significantly. The predicted results showed that maximum phenol degradation of 97% could be achieved with algal concentration of 4Â g/L, phenol concentration of 0.8Â g/L and reaction time of 4Â days. The predicted values were in agreement with experimental values with coefficient of determination (R2) of 0.9973. The model was validated by subsequent experimentations at the optimized conditions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bioresource Technology - Volume 207, May 2016, Pages 150-156
Journal: Bioresource Technology - Volume 207, May 2016, Pages 150-156
نویسندگان
S. Dayana Priyadharshini, A.K. Bakthavatsalam,