Removal of Pollutants from Water/Waste Water Using Nano-Adsorbents: A Potential Pollution Mitigation

Dinesha, B.L.; Sharanagouda, H.; Udaykumar, N.; Ramachandr, C.T.; Dandekar, Anil B.

doi:10.20546/ijcmas.2017.610.455

Cited by 12 publications

(2 citation statements)

References 22 publications

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“…Studies have indicated that bio molecules like protein, phenols, saponins and flavonoids not only play a role in reducing the ions to the nano-size but also plays an important role in the shaping the nanoparticles (Kalidasan and Yogamurthy, 2014) [7] . Silver and silver ionbased materials are reported to possess antifungal, antiinflammatory, antibacterial, antiviral and antiplatelet activities (Dinesha et al, 2017) [19] . Hence, silver nanoparticles play a profound role in the field of biology and medicine.…”

Section: Introductionmentioning

confidence: 99%

Characterization and antibacterial efficacy of silver nanoparticles extracted from neem (Azadirachta indica) leaf extract

Vijayakumar¹,

Manjunath²,

Hiregoudar³

et al. 2021

Int. J. Chem. Stud.

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Use of silver and silver salts is as old as human civilization but the green synthesis of silver nanoparticles (Ag NPs) has only recently been recognized. AgNPs were synthesized using aqueous extract of neem leaves and silver salt. The synthesized AgNPs were characterized using particle size analyser, UV-visible spectroscopy, XRD, SEM and AFM. The size of AgNPs was found to be within the range of 20-60 nm. The absorbance peak was in the range of 420-450 nm. SEM and AFM analysis showed that, the synthesized AgNPs are spherical in shape and surface roughness is 20.40 nm. Further the XRD analysis confirms the nano crystalline phase of silver with cubic crystal structure nature. The EDS analysis confirmed the presence of silver nanoparticles. AgNPs were specifically used in agriculture and medicine as antibacterial, antifungal and antioxidants. Antibacterial activity of synthesized AgNPs was carried out for both gram positive and gram negative bacteria and compared with standard silver nanoparticles. Hence, AgNPs could be use in the food and agricultural filed for commercial usage.

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Section: Introductionmentioning

confidence: 99%

Characterization and antibacterial efficacy of silver nanoparticles extracted from neem (Azadirachta indica) leaf extract

Vijayakumar¹,

Manjunath²,

Hiregoudar³

et al. 2021

Int. J. Chem. Stud.

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“…X and X 1 2 X and X 1 2 X and X y nanotechnology are photocatalysis (Oladipo et al, 2017), nanomembranes (Dinesha et al, 2017) and nanoadsorbents (Thirugnanasambandham and Ganesamoorthy, 2019).G enerally, BOD and COD adsorption approaches include the traditional and novel adsorption methods. Among these methods, novel physico-chemical methods (adsorption, photocatalysis, ozone technology and ion exchage) are generally in usage due to eco-friendly, highest reduction capacity of the pollutants, low cost and operators friendly (Pathak et al, 2016).…”

mentioning

confidence: 99%

Adsorptive removal of dairy industrial pollutants by chitosan zinc –oxide nanoadsorbent- A comparitive study of artificial neural network and quadratic Box-Behnken design

Dinesha¹,

Hiregoudar²,

Nidoni³

et al. 2021

JEB

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Aim: To investigate the effect of operational parameters on the adsorption of biological oxygen demand (BOD) and chemical oxygen demand (COD) on to Chitosan zinc oxide (CZnO) nanoadsorbent using cost-effective and eco-friendly nanoadsorbent based effluent treatment processes. Methodology: CZnO nanoadsorbent particle was synthesized using chemical precipitation method. The nano size <100 nm was achieved using high-speed cryo all mill, followed by the characterization using high-end instruments such as scanning electron microscope with elemental detection sensor (SEM-EDS), atomic force microscope (AFM), X-ray diffractometer (XRD) and Fourier transform inform infrared spectroscopy (FT-IR). Modeling and optimization of operational parameters were done with the artificial neural network (ANN) and Box-BehnkenDesign (BBD) statistical tools. Results: Optimized treatment combination for adsorption of BOD and COD were found at initial BOD and COD concentration of 100 and 200 mg l−1, pH of 7.0 and 2.0, adsorbent dosage of 1.25 mg l−1, contact time of 100 and 60 min. In these conditionsthe desirability values of 0.988 and 0.950 were found for BOD and COD adsorption. The maximum per cent reduction of BOD and COD by using CZnO nanoadsorbent was found to be 96.71 and 87.56. Two models such as Quadratic Box-Behnken and ANN were compared in term of sum of square errors (SSE), root mean square error (RMSE) and correlation coefficient (R2) values. Interpretation: The results obtained revel the well trained ANN model found to be more accurate in prediction of BOD and COD adsorption process parameters compared to BBD model.

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Conducting Polymer Based Nanoadsorbents for Removal of Heavy Metal Ions/Dyes from Wastewater

Kour

Kothari

Azam

et al. 2021

Engineering Materials

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Removal of Pollutants from Water/Waste Water Using Nano-Adsorbents: A Potential Pollution Mitigation

Cited by 12 publications

References 22 publications

Characterization and antibacterial efficacy of silver nanoparticles extracted from neem (Azadirachta indica) leaf extract

Characterization and antibacterial efficacy of silver nanoparticles extracted from neem (Azadirachta indica) leaf extract

Adsorptive removal of dairy industrial pollutants by chitosan zinc –oxide nanoadsorbent- A comparitive study of artificial neural network and quadratic Box-Behnken design

Conducting Polymer Based Nanoadsorbents for Removal of Heavy Metal Ions/Dyes from Wastewater

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