Literature DB >> 31332554

Removing Disperse red 60 and Reactive blue 19 dyes removal by using Alcea rosea root mucilage as a natural coagulant.

Tahereh Zarei Mahmoudabadi1, Parvaneh Talebi1, Mahrokh Jalili2.   

Abstract

In terms of health, dyes have carcinogenic, mutagenic and toxic properties and can have adverse effects on health and the environment. Therefore, sewage containing to dyes must be purified before being discharged into the environment. The current study aimed to investigate the effectiveness of Alcea rosea root extract in Disperse red 60 and Reactive blue 19 dyes removal from synthetic sewage. In this study, the effect of different indices including pH (5-11), Alcea rosea concentration (50-300 mg/L) and initial dye concentration (10-80 mg/L) was investigated. During the tests, the coagulant was stirred with rapid mixing at a speed of 250 rpm for 2 min. In the following, the speed (30-60 rpm) and the time (10-25 min) were used for slow mixing and after mixing the effect of settling time (10-60 min) and temperature (20-70) on removal efficiency of Disperse and Reactive dyes was investigated. The results showed that the maximum of removal efficiency of Disperse and Reactive dyes in optimum conditions including (pH = 11, coagulant concentration = 200 and 250 mg/L, dye concentration 40 and 20 mg/L, speed 60 rpm, during 15 min with settling time 60 min and temperature 60 °C obtained 86% and 68%, respectively. According to the result, the Alcea rosea coagulant has the best ability in removing dyes from aqueous solutions and sewage, especially Disperse dyes. Disperse dye is much eliminated in the coagulation process due to its lower solubility, higher suspending materials and less required solved chemical oxygen demand to the total chemical oxygen demand (SCOD/TCOD).

Entities:  

Keywords:  Alcea rosea; Dye removal; Natural coagulant; Sewage treatment

Year:  2019        PMID: 31332554      PMCID: PMC6646624          DOI: 10.1186/s13568-019-0839-9

Source DB:  PubMed          Journal:  AMB Express        ISSN: 2191-0855            Impact factor:   3.298


  1 in total

1.  4-chlorophenol removal by air lift packed bed bioreactor and its modeling by kinetics and numerical model (artificial neural network).

Authors:  Elahe Azizi; Fariba Abbasi; Mohammad Ali Baghapour; Mohammad Reza Shirdareh; Mohammad Reza Shooshtarian
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

  1 in total

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