Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art

Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art Publisher

Hashempourbaltork F¹ ; Vali Zade S¹ ; Mazaheri Y² ; Mirza Alizadeh A³ ; Rastegar H⁴ ; Abdian Z⁵ ; Torbati M⁶ ; Azadmard Damirchi S⁵

Show Affiliations

1. Halal Research Center of IRI, Iran Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran
2. Department of Environmental Health, Food Safety Division, Faculty of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3. Department of Food Safety and Hygiene, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran
4. Cosmetic Products Research Center, Iran Food and Drug Administration, Tehran, Iran
5. Department of Food Science and Technology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
6. Department of Food Science and Technology, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran

Source: Journal of Agriculture and Food Research Published:2024

Abstract

Olive oils have high consumption due to their health benefits and also owe higher economic value and a grwing demand in the market. However, blending lower grade oils with virgin olive oil can harm its nutritional value and market value. There are valuable reviews on the conventional methods on the detection of olive oils adulteration, but this review focuses on recent literatures on the detection this adulteration through advanced coupling analytical techniques, emphasizing the application of chemometrics in olive oil research. Recent studies have successfully improved the detection limit by combining different methods or modifying existing ones. Each technique has its own strengths and limitations, making them more suitable for specific types of adulteration. The integration of new and advanced detection methods, along with the use of chemometrics, was not found in earlier review research papers. NMR reveals the chemical composition and structure of the oils, while chromatography separates and identifies individual components. DNA-based methods detect genetic material, and electronic nose detects differences in odor or taste. In practice, a combination of multiple analytical techniques enhances the accuracy and reliability of detecting olive oil adulteration. Chemometrics, a mathematical and statistical approach to analyzing large datasets, helps interpret the results and identify patterns and trends that may indicate adulteration. © 2024 The Authors

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Style	Citing Format
MLA	Hashempourbaltork F, et al.. "Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art." Journal of Agriculture and Food Research, vol. 16, no. , 2024, pp. -.
APA	Hashempourbaltork F, Vali Zade S, Mazaheri Y, Mirza Alizadeh A, Rastegar H, Abdian Z, Torbati M, Azadmard Damirchi S (2024). Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art. Journal of Agriculture and Food Research, 16(), -.
Chicago	Hashempourbaltork F, Vali Zade S, Mazaheri Y, Mirza Alizadeh A, Rastegar H, Abdian Z, Torbati M, Azadmard Damirchi S. "Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art." Journal of Agriculture and Food Research 16, no. (2024): -.
Harvard	Hashempourbaltork F et al. (2024) 'Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art', Journal of Agriculture and Food Research, 16(), pp. -.
Vancouver	Hashempourbaltork F, Vali Zade S, Mazaheri Y, Mirza Alizadeh A, Rastegar H, Abdian Z, et al.. Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art. Journal of Agriculture and Food Research. 2024;16():-.
BibTex	@article{ author = {Hashempourbaltork F and Vali Zade S and Mazaheri Y and Mirza Alizadeh A and Rastegar H and Abdian Z and Torbati M and Azadmard Damirchi S}, title = {Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art}, journal = {Journal of Agriculture and Food Research}, volume = {16}, number = {}, pages = {-}, year = {2024} }
RIS	TY - JOUR AU - Hashempourbaltork F AU - Vali Zade S AU - Mazaheri Y AU - Mirza Alizadeh A AU - Rastegar H AU - Abdian Z AU - Torbati M AU - Azadmard Damirchi S TI - Recent Methods in Detection of Olive Oil Adulteration: State-Of- The-Art JO - Journal of Agriculture and Food Research VL - 16 IS - SP - EP - PY - 2024 ER -

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