Characterization of a Biosensor For the Detection of Triglycerides in Vegetable Oils Using Lipase from Candida Rugosa

BACKGROUND/AIMS: Rapid and cost-effective quantification of triglycerides remains a challenge in industrial food quality control, where conventional analytical methods are often time-consuming and resource-intensive. This study aimed to develop and characterize an amperometric biosensor based on lipase (LPS) as a biorecognition element for efficient triglyceride detection in vegetable oils. METHODS: Lipase was immobilized onto the electrode surface to catalyze the hydrolysis of glyceryl tributyrate, enabling electrochemical signal generation. Measurements were performed at an applied potential of -600 mV, with a detection time of 7 seconds. The enzymatic reaction rate was derived from the slope of the amperometric signal (mV/s), and calibration was conducted over a concentration range of 1-5 mM. RESULTS: The biosensor demonstrated a strong linear response (R² = 0.998) and high substrate affinity (KM = 0.13 mM). The system exhibited excellent repeatability and specificity, with minimal interference from other triglycerides. Long-term stability studies showed that the immobilized enzyme retained approximately 90% of its activity over 260 days and could be reused up to 27 times without significant performance loss. CONCLUSION: This biosensor represents a robust, rapid, and environmentally friendly analytical platform for triglyceride detection, offering a practical alternative to conventional techniques and strong potential for implementation in routine industrial quality control.