Biochar for removal of dyes in contaminated water: an overview

Saravanan, P.; Jegan, J.; Pushpa, T. Bhagavathi; Ravindiran, Gokulan; Bulgariu, Laura

doi:10.1007/s42773-022-00131-8

Cited by 164 publications

(69 citation statements)

References 115 publications

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“…On comparing the biochar bricks with the concrete bricks it can be noted that the biochar bricks BC1 have a lowered value of hardness as shown in table 9. It can be attributed to the porous nature of BC1 [10,11]. It can also be noted that concrete bricks have harder materials in its composition on comparing with the softer biochar bricks, due to the material composition also the hardness can be affected.…”

Section: Water Absorptionmentioning

confidence: 99%

Characterization of Biochar Bricks to be used as a Construction Material

Nithyalakshmi

Soundarya

Saravanan

2022

J. Phys.: Conf. Ser.

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The experimental work on characterization of biochar bricks as a construction material is summarized in this manuscript. This is an important topic to research due to the dearth of knowledge about biochar construction materials and their potential to reduce global warming. Biochar is a charcoal-like substance formed from organic matter decomposition in the absence of oxygen at high temperatures. The use of bio char in a range of applications will help in cutting down CO2 emissions, recycling of organic and plastic waste, and in creation of more jobs. Current applications of bio-char is limited to being used as Soil additives to promote water absorption, plaster to absorb humidity, and energy alternatives to replace fossil fuels. The present study attempts to characterize bio-char bricks for usage in construction. Two types of bio-char bricks were cast and compared to normal concrete bricks. The first set of bricks had 70% biochar and 30% cement, whereas the second set contained 45 percent biochar, 45 percent plastic, and 10% cement. The bricks were characterized using five tests: compressive strength, water absorption, hardness, flammability, and insulation value.

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Section: Water Absorptionmentioning

confidence: 99%

Characterization of Biochar Bricks to be used as a Construction Material

Nithyalakshmi

Soundarya

Saravanan

2022

J. Phys.: Conf. Ser.

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“…The use of synthetic dyes throughout the industrial processes results in massive wastewater effluents discharged into the environment on a daily basis [2]. Synthetic organic dyes, such as Congo red (CR), are resistant to the biodegradation, and thus, they are hazardous to the environment and human health [3][4][5][6]. Congo red dye (C 32 H 22 N 6 Na 2 O 6 S 2 ) is a class of dyes mostly utilized to color industrial items and hence discharged in significant amounts into water resources [7].…”

Section: Introductionmentioning

confidence: 99%

“…Diverse physical and chemical processes for the removal of organic dyes have been proposed, including Fenton oxidation [12], biological approaches [13], membrane separation [14], electrochemical oxidation [15], photocatalysis [16], and electrocoagulation. Nonetheless, adsorption methods have gained considerable attention, thanks to their simplicity, low cost, and effectiveness [6,17].…”

Section: Introductionmentioning

confidence: 99%

Green Ca‐Loaded MgO Nanoparticles as an Efficient Adsorbent for Organic Hazardous Dyes

Al-Awaji

Boukriba

Albadri

et al. 2022

Journal of Nanomaterials

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Textile industry wastewater is a principal source of environmental contamination, posing serious health and environmental risks; consequently, appropriate treatments are necessary before ultimate discharge to ensure environmental and public health safety. In this study, 10% Ca-doped MgO (Ca0.10Mg0.90O) has been prepared via a green and ecologically benign approach using aqueous solution of gum arabic (GA) and then used to eliminate Congo red (CR) from aqueous solution. The XRD analysis reveals a size reduction of MgO nanoparticles from 11 to 6 nm after doping with a surface area reaching 50.1 m2·g-1 for the synthesized heterostructure. An excellent adsorption efficiency of 97% has been achieved under the following optimal operational conditions, i.e., adsorbent dosage of Ca0.10Mg0.90O (0.400 g/L), contact time of 120 min, and solution pH of 7.00. As indicated by pH, isotherm, and FTIR examinations, the CR sorption process is related to chemisorption and hydrogen bonding. The findings indicate that the synthesized nanomaterial is a suitable candidate for dyes containing effluent treatment due to its facile green synthetic approach using a natural product GA, low-cost, mesoporous nature, and high uptake capacity under neutral solution pH.

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“…Thousands of new toxins have emerged in recent years as a result of human activity [3]. Some new pollutants are routinely produced by the cosmetics industry, and heavy metals are discharged by a variety of industrial processes [4,5]. Water is one of the most important resources for manufacturing and processing [6].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

2022

Global NEST: The International Journal

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<p>An approach was used in this study to relate the predicted and calculated water quality index (WQI) of the Brahmani River. The WQI was predicted using an artificial neural network (ANN) tool, and the weighted Arithmetic Index technique was used to calculate the WQI (WAI). The WQI is calculated using physicochemical parameters as input data. Pollution Control Board (India) data was utilised to train and evaluate the model, as well as to forecast WQI. The ANN model is trained using the feed-forward back-propogation approach. 70 percent of the data was used for training, whereas 30 percent was used for testing and validation (15 percent) (15 percent). The regression coefficients for all of the stations were greater than 0.9, indicating that ANN modelling produced successful results. For all stations, the average percent of variance between anticipated and computed WQI is 8.63 percent. According to the findings of this study, the ANN model may be useful for predicting the WQI of both surface and groundwater.</p>

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Biochar for removal of dyes in contaminated water: an overview

Cited by 164 publications

References 115 publications

Characterization of Biochar Bricks to be used as a Construction Material

Characterization of Biochar Bricks to be used as a Construction Material

Green Ca‐Loaded MgO Nanoparticles as an Efficient Adsorbent for Organic Hazardous Dyes

Artificial Neural Network and Weighted Arithmetic Indexing Approach for Surface Water Quality Assessment of the Brahmani River

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