Studies on the Biosorption Potential of Copper by Rhizopus arrhizus Biomass
Chauhan, J.; Saini, I.; Kaushik, P.
Show abstract
Due to rapid industrialization and global urbanization, heavy metal pollution of water reservoirs is a severe environmental threat. Moreover, the removal of these heavy metal ions of copper from the wastewaters using conventional methods are costly, time taking, and less effective. Whereas, biosorption proved as a better alternative technique over the traditional methods for the removal of metal ions from the water bodies. Biological materials or biosorbents have been used for the adsorption of metal ions from the aquatic system. Therefore, Rhizopus arrhizus (living biomass) for the biosorption of copper (Cu) metal was used as biosorbent in the present investigation. The pH and temperature at which biosorption occurs are critical. In case of R. arrhizus the maximum adsorption was recorded at pH 7.0, and a temperature of 35{degrees}C.Whereas, the maximum adsorption capacity (Q value) of 100 mg biomass of Rhizopus arrhizus was observed as 94.46 % at 80 ppm concentration. The maximum adsorption capacity of 200 mg biomass of test fungi was reported as 97.32 % at the metal concentration of 80 ppm. Maximum Q value (biosorption capacity, i.e. mg metal per g biosorbent) was 37.785 mg/g at an 80-ppm concentration in case of 100 mg biomass. In the case of 200 mg biomass, the maximum Q value was 19.464 mg/g observed at 80 ppm concentration. Overall, the present study showed that 100 mg and 200 mg Rhizopus arrhizus biomass acts as an excellent adsorbing material for the adsorption of Cu metal ions.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Analysis of migration of pathogenic drug-resistant bacteria to soils and groundwater after fertilization with sewage sludge 97%
- Bioaccumulation of heavy metals in commercially important fish species from the tropical river estuary suggests higher potential child health risk than adults 97%
- Production, purification and evaluation of biodegrading potential of PHB depolymerase of Stenotrophomonas sp. RZS 7 96%
Similar papers in this journal
- Wastewater based surveillance system to detect SARS-CoV-2 genetic material for countries with on-site sanitation facilities: an experience from Bangladesh 96%
- Response of Wastewater-Based Epidemiology Predictor for the Second Wave of COVID-19 in Ahmedabad, India: A Long-term Data Perspective 95%
- Specific quorum sensing molecules are possibly associated with responses to herbicide toxicity in a Pseudomonas strain 94%
Similar papers in this journal
- Organic manure managements increases soil microbial community structure and diversity in double-cropping paddy field of Southern China 95%
- Assessment of Environmental Factors Associated with Antibiotic Resistance Genes (ARGs) in the Yangtze Delta, China 94%
- Optical tuning of polymer functionalized zinc oxide quantum dots as a selective probe for specific detection of antibiotics 94%
Similar papers in this journal
- Can combined compost and biochar application improve the quality of a highly weathered coastal savanna soil? 96%
- Heavy Metals Induced Health Risk Assessment Through Consumption of Selected Commercially Available Spices in Noakhali District of Bangladesh 95%
- Osteoconductive material of a newly developed resin modified glass ionomer cement containing bioactive glasses for biomedical purposes 92%
Similar papers in this journal
- Effect of earthworms in removal and fate of Antibiotic resistant bacteria (ARB) and antibiotic resistant genes (ARG) during clinical laboratory wastewater treatment by vermifiltration 98%
- Antibiotic resistance genes and mobile genetic elements removal from treated wastewater by sewage-sludge biochar and iron-oxide coated sand 95%
- First wastewater surveillance-based city zonation for effective COVID-19 pandemic preparedness powered by early warning: A study of Ahmedabad, India 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.