Rate My Professor Sung Tong Chin

Sung-Tong Chin is a Lecturer in Food Science at Murdoch University, affiliated with the School of Medical, Molecular and Forensic Sciences. His research focuses on Food Flavour & Quality, Foodomics, and Advanced Mass Spectrometry. Chin holds a Doctor of Philosophy from Monash University and contributes to the Australian National Phenome Centre within Murdoch University's Health Futures Institute. His work integrates advanced analytical techniques to address challenges in food science, metabolomics, and health diagnostics, including volatile organic compound profiling and lipidomics.

Chin's scholarly output includes over 50 documents and more than 2,150 citations as recorded in Scopus. Key publications feature 'Unravelling inulin molecules in food sources using a matrix-assisted laser desorption/ionization magnetic sector mass spectrometry platform' (2024, Food Chemistry), where he handled methodology, validation, investigation, and writing; 'Targeted lipidomics coupled with machine learning for authentication of high-value oils' (2023, Food Chemistry, cited 15 times), contributing to methodology, data curation, and drafting; 'A Complete Pipeline for Untargeted Urinary Volatolomic Profiling' (2023, Analytical Chemistry, cited 22 times); 'Profile of exhaled-breath volatile organic compounds to diagnose pancreatic cancer' (2018, British Journal of Surgery, cited 83 times); 'Advanced gas chromatography and mass spectrometry technologies for fatty acids and triacylglycerols analysis' (2020, Separations, cited 32 times); 'Multi-column trajectory to advanced methods in comprehensive two-dimensional gas chromatography' (2018, TrAC Trends in Analytical Chemistry, cited 17 times); 'Cross-Validation of Metabolic Phenotypes in SARS-CoV-2' (2024, Journal of Proteome Research, cited 9 times); and 'Maternal oxidative stress during pregnancy associated with attention-deficit/hyperactivity disorder and autism spectrum disorder symptoms at 2 years' (2023, Molecular Psychiatry, cited 20 times). These works demonstrate his impact in food authentication, biomarker discovery for diseases like pancreatic cancer, COVID-19 metabolic studies, and maternal health research. Additionally, Chin has applied his expertise to projects such as tracking chicken egg provenance using advanced analytical methods. He actively teaches food science courses and supervises PhD candidates on topics like sustainable bioplastics from algae leftovers and green extraction techniques, fostering the next generation of food scientists.