Effect of Light Emitting Diode and Fluorescent Light on Volatile Profiles of Soybean Oil during Storage

Abstract

Soybean oil was stored in polyethylene for 12 weeks at 20 o C. The influence of LED (light emitting diode) irradiation on four different wavelengths and fluorescent light was investigated. The pattern changes of volatile components in soybean oil was analyzed by electronic nose based on mass spectrometer. The obtained data from electronic nose were analyzed by discrimination function analysis. Under fluorescent light, the discriminant function first score (DF1) was significantly moved from positive position to negative one after 4-12 weeks. It means that the volatile compounds related to quality of lipid. It was shown to increase slowly due to green light of LED treatment, while blue and white LED light was influenced significantly as well as fluorescent light irradiation. Selection of LED irradiation would provide to keep good quality of soybean oil under distribution chain system.

Effect of fluorescent light and light emitting diode illumination on volatile profiles of vegetable oils

“…Intervals between oil samples on DFA graphs represented differences between oil samples. Based on studies using an electronic nose, volatile components change with an increasing distance from the control group (11,15,17). Fig.…”

“…Dimensions of LED equipment used were reported by Park et al (11). Wavelengths for each light source showed the greatest degree of absorption at 370-630 nm for fluorescent light, at 410-480 nm for white LED, at 420-290 nm for blue LED, at 490-560 nm for green LED and at 600-650 nm for red LED.…”

“…An electronic nose was connected to an autosampler (CombiPAL; CTC Analytics, Zwingen, Switzerland) and an MS apparatus (Quadrupole Mass Spectrometer, Balzers Instruments, Marin-Epagnier, Switzerland). Analysis followed the method of Park et al (11).…”

“…Discriminant function analysis (DFA) Of the 10-200 amu ionic fragments produced from volatile components, m/z=15-30 fragments with a high degree of differentiation were used as independent variables for a discriminant function analysis (DFA) performed following the method of Park et al (11) with results based on calculation of the sensitivity of the selected variables. The 10 to 20 variable groups with highest Mw values were subjected to statistical analysis using SMart Nose ® statistical analysis software (Version 1.51, Thopas Soft Creation, Marin-Epagnier, Switzerland).…”

“…Six different vegetable oils were studied for 35 weeks under red, yellow, and blue LED light and fluorescent light, and the greatest degree of change in volatile components was observed under fluorescent light (10), leading to the conclusion that use of a single color LED rather than fluorescent light results in fewer changes in the quality of fat. Meanwhile, soybean oil in PE bottles showed a great change in volatile components under fluorescent light and blue LED illumination, and showed the second least degree of change under green LED illumination, second only to darkness (11).…”