Removal of typical pollutants from water sources of Chouara tannery by the integration of coagulation-flocculation and activated carbon treatment

Executive summary: Porous resorcinarene-containing polymers are used to remove halomethane disinfection byproducts and 1,4-dioxane from water. Disinfection byproducts such as trihalomethanes are some of the most common micropollutants found in drinking water. Trihalomethanes are formed upon chlorination of natural organic matter (NOM) found in many drinking water sources. Municipalities that produce drinking water from surface water sources struggle to remain below regulatory limits for CHCl3 and other trihalomethanes (80 mg L–1 in the United States). Inspired by molecular CHCl3⊂cavitand host-guest complexes, we designed a porous polymer comprised of resorcinarene receptors. These materials show higher affinity for halomethanes than a specialty activated carbon used for trihalomethane removal. The cavitand polymers show similar removal kinetics as activated carbon and have high capacity (49 mg g–1 of CHCl3). Furthermore, these materials maintain their performance in real drinking water and can be thermally regenerated under mild conditions. Cavitand polymers also outperform activated carbon in their adsorption of 1,4-dioxane, which is difficult to remove and contaminates many public water sources. These materials show promise for removing toxic organic micropollutants and further demonstrate the value of using supramolecular chemistry to design novel absorbents for water purification.

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Tailored Granular Activated Carbon Treatment of Perchlorate in Drinking Water. ESTCP Cost and Performance Report

10.21236/ada554485 ◽

2011 ◽

Author(s):

Trent Henderson ◽

Fred Cannon

Keyword(s):

Drinking Water ◽

Activated Carbon ◽

Granular Activated Carbon ◽

Performance Report ◽

And Performance ◽

Carbon Treatment

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Removal of Trace Metals From Wastewater by Activated Carbon

Water Quality Research Journal ◽

10.2166/wqrj.1973.009 ◽

1973 ◽

Vol 8 (1) ◽

pp. 110-121

Author(s):

A. Netzer ◽

J.D. Norman

Keyword(s):

Activated Carbon ◽

Trace Metals ◽

Organic Compounds ◽

The Other ◽

Published Data ◽

Ph Adjustment ◽

Nickel Silver ◽

Ph Range ◽

Carbon Treatment ◽

Cobalt Copper

Abstract The merits of activated carbon for removal of organic compounds from wastewater have been well documented in the literature. On the other hand there is a lack of published data on the use of activated carbon for the removal of trace metals from wastewater. Experiments were designed to assess the possibility that activated carbon treatment would remove aluminum, cadmium, chromium, cobalt, copper, iron, lead, manganese, mercury, nickel, silver and zinc from wastewater. All metals studied were tested over the pH range 3-11. Greater than 99.5% removal was achieved by pH adjustment and activated carbon treatment for most of the metals tested.

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Disinfection byproduct formation from algal organic matters after ozonation or ozone combined with activated carbon treatment with subsequent chlorination

Journal of Environmental Sciences ◽

10.1016/j.jes.2020.12.009 ◽

2021 ◽

Vol 104 ◽

pp. 233-241

Author(s):

Qiufeng Lin ◽

Feilong Dong ◽

Cong Li ◽

Junkui Cui

Keyword(s):

Activated Carbon ◽

Organic Matters ◽

Disinfection Byproduct ◽

Byproduct Formation ◽

Carbon Treatment

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Digital Smoke Taint Detection in Pinot Grigio Wines Using an E-Nose and Machine Learning Algorithms Following Treatment with Activated Carbon and a Cleaving Enzyme

Fermentation ◽

10.3390/fermentation7030119 ◽

2021 ◽

Vol 7 (3) ◽

pp. 119

Author(s):

Vasiliki Summerson ◽

Claudia Gonzalez Viejo ◽

Damir D. Torrico ◽

Alexis Pang ◽

Sigfredo Fuentes

Keyword(s):

Machine Learning ◽

Activated Carbon ◽

Low Cost ◽

Aroma Compounds ◽

Machine Learning Algorithms ◽

Enzyme Treatment ◽

Mean Values ◽

Volatile Aroma ◽

Carbon Treatment ◽

Volatile Aroma Compounds

The incidence and intensity of bushfires is increasing due to climate change, resulting in a greater risk of smoke taint development in wine. In this study, smoke-tainted and non-smoke-tainted wines were subjected to treatments using activated carbon with/without the addition of a cleaving enzyme treatment to hydrolyze glycoconjugates. Chemical measurements and volatile aroma compounds were assessed for each treatment, with the two smoke taint amelioration treatments exhibiting lower mean values for volatile aroma compounds exhibiting positive ‘fruit’ aromas. Furthermore, a low-cost electronic nose (e-nose) was used to assess the wines. A machine learning model based on artificial neural networks (ANN) was developed using the e-nose outputs from the unsmoked control wine, unsmoked wine with activated carbon treatment, unsmoked wine with a cleaving enzyme plus activated carbon treatment, and smoke-tainted control wine samples as inputs to classify the wines according to the smoke taint amelioration treatment. The model displayed a high overall accuracy of 98% in classifying the e-nose readings, illustrating it may be a rapid, cost-effective tool for winemakers to assess the effectiveness of smoke taint amelioration treatment by activated carbon with/without the use of a cleaving enzyme. Furthermore, the use of a cleaving enzyme coupled with activated carbon was found to be effective in ameliorating smoke taint in wine and may help delay the resurgence of smoke aromas in wine following the aging and hydrolysis of glycoconjugates.

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