BIOCHEMICAL ASSAY FOR DETECTION OF PATHOGENIC AND PROBIOTIC BACTERIA AT SHRIMP AND PRAWN FROM WILD AND DIFFERENT CULTURE CONDITIONS IN BANGLADESH.
Published In: Suranaree Journal of Science & Technology, 2024, v. 31, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Tawhid, Muhammad; Islam, Mohammed Mafizul; Amanat, Muhammed; Tandon, Sapna 3 of 3
Abstract
We conducted biochemical assays on shrimp and prawn samples in Bangladesh, revealing the presence of both harmful and beneficial bacteria. Pathogens such as Escherichia coli, Klebsiella pneumonia, Vibrio cholera, Pseudomonas aeruginosa, Clostridium perfringens, Salmonella typhimurium, Shigella flexneri, Listeria monocytogenes, and Staphylococcus aureus were detected in these samples, with Escherichia coli being the most prevalent. Additionally, we identified three potential probiotic bacteria - Bacillus subtilis, Lactobacillus spp., and Enterobacter aerogenes. These probiotics can enhance immunity, support survival, and have minimal environmental impact. Shrimp and prawn farms in Bangladesh may be susceptible to harmful microorganisms due to contaminated water sources and subpar sanitation during post-harvest handling and processing. Our use of biochemical characterization proves a dependable method for distinguishing pathogenic and probiotic bacteria in shrimp and prawns, offering valuable insights for future disease research. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Suranaree Journal of Science & Technology. 2024/01, Vol. 31, Issue 1, p1
- Document Type:Article
- Subject Area:Biology
- Publication Date:2024
- ISSN:0858-849X
- DOI:10.55766/sujst-2024-01-e03550
- Accession Number:176858015
- Copyright Statement:Copyright of Suranaree Journal of Science & Technology is the property of Suranaree University of Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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