Abstract

Context: Unicellular algae called diatoms are typically found in aquatic environments and are frequently used in forensic science as a method to pinpoint the exact moment and place of drowning deaths. The creation of a diatom species database for Bangalore city that may be utilized in forensic investigations is presented in this paper. Light microscopy was used to examine the diatom population in a total of five water samples from diverse aquatic habitats in Bangalore. A database was made utilizing the information used to identify and classify the different diatom species based on their morphology. A list of the diatom species discovered in each water sample may be found in the database. Analyzing the diatom population in five test samples taken from recognisable places in Bangalore served to confirm the database. The findings demonstrate that the database is accurate and trustworthy for classifying diatom species in Bangalore’s aquatic settings. Forensic investigators can utilize the diatom species database created in this study to pinpoint the place and timing of drowning fatalities in Bangalore city. Forensic investigators can pinpoint the site of a drowning and offer crucial evidence in court by comparing the diatom species identified in a drowning victim’s lungs and other tissues with the diatom species in the database. The database may also be utilized in Bangalore city for ecological research and evaluations of the water quality. Aims: To examine the diatom population in a total of five water samples from diverse aquatic habitats in Bangalore. Settings and Design: Study Location: Bangalore city, India, Sample Collection: Five water samples obtained from diverse aquatic habitats. Methodology: Light microscopy used to examine and classify diatom species based on morphology. Database Development: Compilation of identified diatom species to create a comprehensive database. Validation: Analysis of diatom populations in test samples confirms accuracy and reliability of the database for forensic and ecological applications. Material and Methods: Light microscopy was used to examine the diatom population in a total of five water samples from diverse aquatic habitats in Bangalore. A database was made utilizing the information used to identify and classify the different diatom species based on their morphology. Results: A list of the diatom species discovered in each water sample may be found in the database. Analyzing the diatom population in five test samples taken from recognisable places in Bangalore served to confirm the database. Conclusion: The findings demonstrate that the database is accurate and trustworthy for classifying diatom species in Bangalore’s aquatic settings.

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