Multivariate Analysis on Samples from the 2024 Manila Bay Oil Spill

Kim Christopher C. Aganda, Zamantha Nadir Z. Martin, Annabelle V. Briones, Rachel Zioness O. Diputado, Encar Alej D. Mendoza, Jaryl T. Jihad, Hernando P. Bacosa

Abstract

The 2024 Manila Bay oil spill was an impact of the monsoon rains enhanced by Super Typhoon Carina. Investigations utilizing chemical forensics were conducted to evaluate the impact of the accident. In this study, the application of multivariate analysis to aid the assessment was also explored. Samples collected at different points around the spill site and nearby coastal areas were prepared by extraction with dichloromethane followed by drying over sodium sulfate, while analysis was accomplished using gas chromatography – mass spectrometry (GCMS) in Scan and SIM modes. Common diagnostic biomarkers were used for comparison of the different oil samples. Principal component analysis and K-means clustering were also performed. The study aims to provide an alternate approach to gaining insights into the properties of oil samples. The study also emphasizes the vital role of chemical measurements in making informed decisions and response efforts during environmental crises.

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IMEKO-TC8-11-24-2025-040.pdf

DOI

10.21014/tc24-2025.040

IMEKO TC

TC24 - Chemical Measurements

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