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Synthetic dyes, especially those released from textile industries, are recognized as one of the most harmful groups of pollutants because of their complex aromatic structures, stability, and resistance to degradation. Conventional treatment methods are often expensive and generate secondary pollutants, which limits their large-scale applicability. In recent years, biosorption has emerged as a sustainable and eco-friendly alternative for dye remediation, as it shows advantages such as low cost, high efficiency, and utilization of biological materials as sorbents. Among various microbial biosorbents, fungal biomass has been particularly promising because of its surface characteristics and availability of functional groups that facilitate pollutant binding. In this study, the biosorption potential of Aspergillus niger biomass was evaluated for the removal of Reactive Blue 222 dye from aqueous solutions under varying physicochemical conditions. The results of the study indicated that biosorption performance was strongly influenced by the tested parameters and the maximum dye removal was achieved at pH 3, contact time of 1.5 hours, dye concentration of 50 mg/L, agitation speed of 80rpm and biomass dosage of 200mg. The reusability of the biomass was also examined through desorption experiments, demonstrating its potential for repeated application with minimal loss of efficiency. Overall, the findings confirm that Aspergillus niger biomass is a highly effective, low-cost, and environmentally benign biosorbent for the removal of synthetic dyes, making biosorption a useful method for treating dye-contaminated wastewater.
Keywords:
Biosorption, Aspergillus niger, Reactive Blue 222 dye, Optimization
Cite Article:
"Study of Biosorption of RB 222 Dye using Aspergillus niger Biomass", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c469-c480, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604331.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator