Accurate detection of cyanide exposure is crucial, particularly in forensic science. However, cyanide's high volatility and potential biochemical conversions in biological samples pose challenges for direct detection, complicating the determination of cause of death. Identifying alternative cyanide metabolites as markers may mitigate false negatives and positives, extending the detection window in poisoning cases.
View Article and Find Full Text PDFFlavor is the main factor driving consumers acceptance of food products. However, tracking the biochemistry of flavor is a formidable challenge due to the complexity of food composition. Current methodologies for linking individual molecules to flavor in foods and beverages are expensive and time-consuming.
View Article and Find Full Text PDFIn this study a Machine Learning model was employed to predict the lipid profile from supercritical fluid extraction (SFE) of microalgae sp. USBA-GBX-832 under different temperature (40, 50, 60°C), pressure (150, 250 bar), and ethanol flow (0.6, 0.
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