Phytosterol Profiling as a Tool for Edible Oil Authentication: Challenges and Prospects

TL;DR

This paper reviews how phytosterol analysis can help detect adulteration in edible oils, emphasizing recent techniques and challenges in ensuring oil authenticity.

Contribution

The paper highlights novel phytosterol markers and the integration of AI and bioinformatics for improved oil authentication.

Findings

Phytosterols are effective markers for detecting adulteration in high-value oils like olive and sesame oil.

Advanced techniques like GC-MS and LC-MS combined with chemometrics improve sterol profiling accuracy.

Current methods face challenges such as the need for comprehensive databases and better standardization.

Abstract

The global edible oil market is consistently at risk of economically motivated adulteration, underscoring the necessity of robust analytical methods essential for authentication. Among various phytochemicals, phytosterols have emerged as powerful diagnostic markers and compositional indicators for verifying the botanical origin, purity, and quality of edible oils. This review summarizes recent advancements in phytosterol analysis, highlighting its application in detecting adulteration in high-value oils such as olive oil, tea seed oil, and sesame oil. We discuss the approaches of multiple chromatographic and mass spectrometry techniques (GC-MS, LC-MS) with chemometric analysis of novel markers like fatty acyl sterol esters and sterol degradation products. Furthermore, we discuss significant challenges, including the need for comprehensive databases, the identification of complex sterol compositional profiles, and the limitations of current standardized methods. The advancement of phytosterol-based authentication increasingly depends on the development of rapid, high-throughput, and non-targeted sterol profiling approaches, supported by artificial intelligence and bioinformatics, to ensure vegetable oil authenticity and safeguard market integrity.

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