2011
DOI: 10.5851/kosfa.2011.31.4.596
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Pattern Recognition Analysis for Volatile Compounds of the Whole, Skim, UHT-, HTST-, and LTLT-Milk under LED Irradiations

Abstract: The objective of this study was to analyze the pattern recognition of volatile compounds from different types of milk under LED (Light Emitting Dioxide) irradiation for 6 d. Yellow, red, blue, dark, and fluorescent light were produced using LED equipment. A mass spectrometry-based electronic nose and DFA (discriminant function analysis) were used to determine the change in volatiles from different types of milk under LED irradiation. As the LED exposure time was increased, DF1 of whole milk changed considerabl… Show more

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Cited by 5 publications
(2 citation statements)
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“…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.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…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.…”
Section: Resultsmentioning
confidence: 99%
“…The greatest change in the volatile components of whole milk reportedly occurred under blue LED illumination (17). Sesame oil was affected more under blue LED illumination than under yellow or red LED, or fluorescent light as the storage time increased (20).…”
Section: Effects Of Light Effects Of Light On Soybean Oil Are Shown Inmentioning
confidence: 99%