Comparison of three different methods for detection of corn and sunflower oils in adulterated sesame oil

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Edible oils can be misdescribed by substituting one ingredient for a similar, but less expensive or over-declaring a quantitative ingredient. Thus, the identification of raw materials in edible oils is important for authentication. In This study, three methods (saponification value, sterol and fatty acids analysis) were used to compare for fraud detection in edible oils. Tests used to assess the quality of sesame oil and oils obtained from mixing sesame oil with sunflower and corn oils. The results showed that campesterol, Δ7-avenasterol, Δ5-avenasterol and Δ7-stigmastenol values can be used as detectors for corn oil mixed with sesame oil, even at a concentration of 5%. Also, in the detection of sesame oil fraud, measuring the fatty acids include oleic, linolenic, linoleic and behenic is more suitable even at a concentration of 5% of sunflower oil adding. In general, the best method for detecting of fraud at all concentrations of added sunflower oil was the saponification value method, while fatty acid composition and desmethylsterols composition was suitable for both corn and sunflower oils mixing.
Language:
English
Published:
Pages:
12 to 18
magiran.com/p2120322  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!