Title :
Detection of the Refined Recycled Edible Oil Based on an Ultra-Weak Luminescence Imaging Technique
Author :
Tang, Ren-dong ; Dai, Jia-pei
Author_Institution :
Wuhan Inst. for Neurosci. & Neuroengineering, South-Central Univ. for Nat., Wuhan, China
Abstract :
It has been lacking of reliable techniques for detecting the refined recycled edible oils and distinguishing them from the normal edible oils definitely. In this paper, we report a novel imaging technique, called ultra-weak luminescence imaging technique, which could detect refined recycled edible oils. By analyzing different samples including bottled salad and peanut oil, salad oil in bulk and two kinds of short-term fried oils, we found that this technique not only distinguished different kinds of normal edible oils, but also detected the short-term fried oils. Our results indicate that this technique has a potential to detect the refined recycled edible oils with high specificity and sensitivity, but needs large samples to be proven.
Keywords :
essential oils; luminescence; recycling; bottled salad; normal edible oil; oil sensitivity; oil specificity; peanut oil; refined recycled edible oil; short-term fried oil; ultra-weak luminescence imaging technique; Imaging; Light sources; Lighting; Luminescence; Sensitivity; Vegetable oils;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6341898