Biodecolorization and Treatment of Synthetic and Batik Wastewater by Indigenous Bacterial Isolates for Sustainable Bioremediation

The discharge of synthetic dyes from batik industries presents severe environmental risks due to their toxicity and persistence. Typical wastewater treatment processes are often costly and ineffective, necessitating eco-friendly alternatives. Microbial bioremediation offers a promising solution, yet the potential of indigenous bacterial strains remains underexplored. Therefore, this study evaluates the decolorization potential of two indigenous bacterial isolates, strain SK1 and strain SK2, under stationary and agitated conditions using Congo Red (CR) and Malachite Green (MG) as model dyes. Additionally, the strains were assessed for their effectiveness in treating actual batik wastewater and their impact on phytotoxicity. Under static conditions, strain SK1 and strain SK2 recorded growth values of 0.101 ± 0.027 and 0.201 ± 0.003 (optical density at 600 nm), with corresponding CR removal efficiencies of 3c ± 1% and 14b ± 2%, respectively after 3 days. Under shaking conditions, growth increased to 0.318 ± 0.001 for strain SK1 and 0.896 ± 0.018 for strain SK2, improving CR removal to 16b ± 2% and 38a ± 2%. For MG, both strains exhibited similar growth and performance under static conditions, with dye removal efficiencies of 12b ± 2%. Under shaking conditions, growth increased to 0.568 ± 0.031 for strain SK1 and 0.816 ± 0.018 for strain SK2, though dye removal remained low at 21a ± 2%. After 3 days, strain SK2 demonstrated strong bioremediation potential in actual batik wastewater, achieving reductions in biochemical oxygen demand (90%), chemical oxygen demand (94%), total suspended solids (91%) and total dissolved solids (51%), ensuring compliance with regulatory standards. Color removal reached 77% and pH was reduced from 10.5 to 7.7 In contrast, strain SK1 also reduced these parameters but failed to meet regulatory limits. Phytotoxicity tests showed that SK2-treated batik wastewater supported Vigna radiata germination with only 4% inhibition and a seedling length of 5.3 ± 2 cm, compared to untreated batik wastewater, which resulted in 71% inhibition and a seedling length of 0.9 ± 0 cm. These findings emphasize the potential of strain SK2 for eco-friendly dye decolorization and wastewater treatment. Future research will prioritize strain identification and process optimization to improve efficiency.

Authors

Institutions

Publication Details

Journal
Semarak International Journal of Chemical Process Engineering
Published
2025-06-20
DOI
https://doi.org/10.37934/sijcpe.3.1.1121
Primary Topic
Enzyme-mediated dye degradation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biodecolorization and Treatment of Synthetic and Batik Wastewater by Indigenous Bacterial Isolates for Sustainable Bioremediation

Nor Suhaila Yaacob, Mouloud Kecha, Hazeeq Hazwan Azman, Hasdianty Abdullah et al.
Semarak International Journal of Chemical Process Engineering
Enzyme-mediated dye degradation
article

Biodecolorization and Treatment of Synthetic and Batik Wastewater by Indigenous Bacterial Isolates for Sustainable Bioremediation

Nor Suhaila Yaacob, Mouloud Kecha, Hazeeq Hazwan Azman, Hasdianty Abdullah, Maegala Nallapan Maniyam
article en

Abstract

The discharge of synthetic dyes from batik industries presents severe environmental risks due to their toxicity and persistence. Typical wastewater treatment processes are often costly and ineffective, necessitating eco-friendly alternatives. Microbial bioremediation offers a promising solution, yet the potential of indigenous bacterial strains remains underexplored. Therefore, this study evaluates the decolorization potential of two indigenous bacterial isolates, strain SK1 and strain SK2, under stationary and agitated conditions using Congo Red (CR) and Malachite Green (MG) as model dyes. Additionally, the strains were assessed for their effectiveness in treating actual batik wastewater and their impact on phytotoxicity. Under static conditions, strain SK1 and strain SK2 recorded growth values of 0.101 ± 0.027 and 0.201 ± 0.003 (optical density at 600 nm), with corresponding CR removal efficiencies of 3c ± 1% and 14b ± 2%, respectively after 3 days. Under shaking conditions, growth increased to 0.318 ± 0.001 for strain SK1 and 0.896 ± 0.018 for strain SK2, improving CR removal to 16b ± 2% and 38a ± 2%. For MG, both strains exhibited similar growth and performance under static conditions, with dye removal efficiencies of 12b ± 2%. Under shaking conditions, growth increased to 0.568 ± 0.031 for strain SK1 and 0.816 ± 0.018 for strain SK2, though dye removal remained low at 21a ± 2%. After 3 days, strain SK2 demonstrated strong bioremediation potential in actual batik wastewater, achieving reductions in biochemical oxygen demand (90%), chemical oxygen demand (94%), total suspended solids (91%) and total dissolved solids (51%), ensuring compliance with regulatory standards. Color removal reached 77% and pH was reduced from 10.5 to 7.7 In contrast, strain SK1 also reduced these parameters but failed to meet regulatory limits. Phytotoxicity tests showed that SK2-treated batik wastewater supported Vigna radiata germination with only 4% inhibition and a seedling length of 5.3 ± 2 cm, compared to untreated batik wastewater, which resulted in 71% inhibition and a seedling length of 0.9 ± 0 cm. These findings emphasize the potential of strain SK2 for eco-friendly dye decolorization and wastewater treatment. Future research will prioritize strain identification and process optimization to improve efficiency.

Semarak International Journal of Chemical Process EngineeringVol. 3(1)
University of Béjaïa (DZ), University of Selangor (MY)
Openalex Percentile: Top 88%
Enzyme-mediated dye degradation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.