کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5746817 1618801 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating filterability of different types of sludge by statistical analysis: The role of key organic compounds in extracellular polymeric substances
ترجمه فارسی عنوان
ارزیابی فیلتراسیون انواع مختلف لجن با استفاده از تجزیه آماری: نقش ترکیبات اصلی آلی در مواد پلیمر خارج سلولی
کلمات کلیدی
فیلتراسیون لجن، مواد پلیمری خارج سلولی متصل به لبه، تجزیه و تحلیل مولفه اصلی، تجزیه و تحلیل همبستگی پیرسون، ترکیبات ارگانیک فرکت شده،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی


- 20 different sludges were applied to investigate filterability and EPS components.
- Sludge filterability showed multicollinearity among EPS constituents.
- LB EPS showed higher eigenvector projection values in biplot than SB EPS and TB EPS.
- A multiple linear model was established between CST and fractionized compounds.

An investigation was conducted for 20 different types of sludge in order to identify the key organic compounds in extracellular polymeric substances (EPS) that are important in assessing variations of sludge filterability. The different types of sludge varied in initial total solids (TS) content, organic composition and pre-treatment methods. For instance, some of the sludges were pre-treated by acid, ultrasonic, thermal, alkaline, or advanced oxidation technique. The Pearson's correlation results showed significant correlations between sludge filterability and zeta potential, pH, dissolved organic carbon, protein and polysaccharide in soluble EPS (SB EPS), loosely bound EPS (LB EPS) and tightly bound EPS (TB EPS). The principal component analysis (PCA) method was used to further explore correlations between variables and similarities among EPS fractions of different types of sludge. Two principal components were extracted: principal component 1 accounted for 59.24% of total EPS variations, while principal component 2 accounted for 25.46% of total EPS variations. Dissolved organic carbon, protein and polysaccharide in LB EPS showed higher eigenvector projection values than the corresponding compounds in SB EPS and TB EPS in principal component 1. Further characterization of fractionized key organic compounds in LB EPS was conducted with size-exclusion chromatography-organic carbon detection-organic nitrogen detection (LC-OCD-OND). A numerical multiple linear regression model was established to describe relationship between organic compounds in LB EPS and sludge filterability.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemosphere - Volume 170, March 2017, Pages 233-241
نویسندگان
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