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Plant Science Today (PST)

Research Articles

Vol. 12 No. 1 (2025)

Consumer awareness and adoption of multi-source edible oils: key influencing factors and barriers

DOI
https://doi.org/10.14719/pst.6042
Submitted
21 October 2024
Published
25-01-2025 — Updated on 28-01-2025
Versions

Abstract

Edible oils are essential to Indian cooking methods and flavour profiles and they have long been a component of human nutrition and culinary traditions. These oils, derived from a range of plant sources, significantly improve the taste, texture and nutritional value of food. In recent years, there has been a surge in interest in Multi-Source Edible Oils (MSEO), also known as blended oils, which combine two or more types of vegetable oils to create products with improved cooking properties and nutritional profiles. Edible oil consumption is influenced by various factors, such as marketing efforts, culinary preferences and health consciousness. As lifestyle-related health conditions such as cardiovascular disease and diabetes become more prevalent, many consumers are becoming more concerned about their cooking oil choices. The purpose of this study is to examine consumer awareness, adoption factors and barriers related to MSEO in Coimbatore, Tamil Nadu. The study uses statistical tools like factor analysis and Garrett ranking to identify the major factors and constraints in adopting MSEO. The study reveals that, while most respondents are aware of MSEO, only a few use it. Product performance emerges as the main factor influencing adoption, while marketing, health and economic variables also play a role. Major barriers include higher prices, preference for traditional oils and lack of knowledge. These findings can aid the development of strategies to enhance MSEO adoption, potentially leading to healthier dietary practices in the region.

References

  1. Gulati S, Misra A, Sharma M. Dietary fats and oils in India. Current Diabetes Reviews. 2017 Oct 1;13(5):438-43. https://doi.org/10.2174/1573399812666160811165712
  2. Ranjan R, Kumar N, Kiranmayee AH, Panchariya PC. Characterization of edible oils using nir spectroscopy and chemometric methods. In Intelligent Systems Design and Applications: 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018), Volume 2; 2020 (pp. 292-300). Springer International Publishing. https://doi.org/10.1007/978-3-030-16660-1_29
  3. Bian X, Wang Y, Wang S, Johnson JB, Sun H, Guo Y, Tan X. A review of advanced methods for the quantitative analysis of single component oil in edible oil blends. Foods. 2022 Aug 13;11(16):2436. https://doi.org/10.3390/foods11162436
  4. Dubois V, Breton S, Linder M, Fanni J, Parmentier M. Fatty acid profiles of 80 vegetable oils with regard to their nutritional potential. Eur J Lipid Sci Technol. 2007 Jul;109(7):710-32. https://doi.org/10.1002/ejlt.200700040
  5. Sacks FM, Lichtenstein AH, Wu JH, Appel LJ, Creager MA, Kris-Etherton PM, Miller M, Rimm EB, Rudel LL, Robinson JG, Stone NJ. Dietary fats and cardiovascular disease: a presidential advisory from the American Heart Association. Circulation. 2017 Jul 18;136(3): e1-23. https://doi.org/10.1161/cir.0000000000000529
  6. Choudhary M, Grover K, Sangha J. Effect of blended rice bran and olive oil on cardiovascular risk factors in hyperlipidemic patients. Food and Nutrition Sciences. 2013;4(11):1104-1111. https://doi.org/10.4236/fns.2013.411143
  7. Bakry AM, Abbas S, Ali B, Majeed H, Abouelwafa MY, Mousa A, Liang L. Microencapsulation of oils: A comprehensive review of benefits, techniques, and applications. Comprehensive reviews in food science and food safety. 2016 Jan;15(1):143-82. https://doi.org/10.1111/1541-4337.12179
  8. Waghray K, Gulla S. A freedom of choice-sensory profiling and consumer acceptability of oil blends. Studies on Home and Community Science. 2011 Apr 1;5(1):1-6. https://doi.org/10.1080/09737189.2011.11885322
  9. Sedgwick P. Convenience sampling. Bmj. 2013 Oct 25;347. https://doi.org/10.1136/bmj.f6304
  10. Lawless H., Heymann H. Descriptive analysis. In: Sensory Evaluation of Food. Food Science Text Series. Springer; 2010:227-257. New York, NY. https://doi.org/10.1007/978-1-4419-6488-5_10
  11. Lawley DN, Maxwell AE. Factor analysis as a statistical method. Journal of the Royal Statistical Society. Series D (The Statistician). 1962 Jan 1;12(3):209-29. https://doi.org/10.2307/2986915
  12. Ismanto H, Suharto A, Arsyad L. Ranking method in group decision support to determine the regional prioritized areas and leading sectors using Garrett score. :Int J Adv Comput Sci App (IJACSA). 2018 Nov 1;9(11):94-9. https://doi.org/10.14569/ijacsa.2018.091114

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