Bioremediation Tofu Liquid Waste Based on Chemical Oxygen Demand (COD) Parameters

Slamet Isworo; Poerna Sri Oetari; Danu Prabowo; Hugi Cerlyawati

doi:10.9734/arrb/2022/v37i1230561

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Bioremediation Tofu Liquid Waste Based on Chemical Oxygen Demand (COD) Parameters

Slamet Isworo

Poerna Sri Oetari

Danu Prabowo

Hugi Cerlyawati

Annual Research & Review in Biology, Page 94-104
DOI: 10.9734/arrb/2022/v37i1230561
Published: 29 December 2022

Abstract

Background and Objective: The majority of liquid waste generated by the tofu industry in Semarang exceeds the recommended limit. This condition disturbs the ecology of the surrounding environment. so a solution is needed to manage it. The use of bacteria in bioremediation technology has been proven to reduce pollutants produced by the tofu industry. The purpose of this study was to identify specific bacteria and test their ability to bioremediate pollutants from tofu wastewater using the Chemical Oxygen Demand (COD) parameter.

Methodology: Methodology: The study was exploratory and experimental in nature, with the variable ability of degradative bacteria degrading tofu industrial wastewater based on COD parameters. Bacterial identification was performed using the 16S-rRNA Gene Analysis method, genomic DNA extraction with the Quick-DNA Bacterial Miniprep Kit, PCR amplification, and bi-directional sequencing.

Results: The results of the identification of the selected bacteria show that they are molecules of the type nucleic acid with a query length of 1394. with a lineage report and a 93% phylogenetic tree as Bacillus subtilis, Bioremediation test shows that tofu waste can be degraded. The degradation percentage is 17%.

Conclusion: Bacillus subtillis, a bacterium that degrades tofu industrial wastewater, was found as an indigenous bacteria.

Keywords:

Bioremediation
tofu liquid waste
Bacillus subtilis
COD parameters
indigenous bacteria

How to Cite

Isworo, S., Oetari, P. S., Prabowo, D., & Cerlyawati, H. (2022). Bioremediation Tofu Liquid Waste Based on Chemical Oxygen Demand (COD) Parameters. Annual Research & Review in Biology, 37(12), 94-104. https://doi.org/10.9734/arrb/2022/v37i1230561

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