Presentation Title

Initial investigation of wildflower honey using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry for geographical information

Presentation Type

Poster

Full Name of Faculty Mentor

Drew Budner, Chemistry

Major

Biology

Presentation Abstract

Honey has been used as a food, sugar substitute, and flavor enhancer forever. The uses for honey are extremely varied from food to medicine. It is widely touted that you can address seasonal allergies, especially those following a move, by eating local honey. For this to be true the composition of the local honey, including trapped pollen, would allow allergy symptoms to be eliminated. In this project, the volatile and semi-volatile aroma compounds in wild flower honey from several different locations were analyzed. Headspace SPME coupled with GC-MS will be used to help develop the characteristic flavor and aroma profiles of each honey analyzed. Then in combination with statistical analysis, such as principle component or cluster analysis, allowed for the characterizing of these honeys based on location. The goal of this project is to detect regional variations in honey to begin to establish the idea of terroir for honey.

Location

Poster Session 1

Start Date

21-4-2021 12:00 PM

End Date

21-4-2021 2:00 PM

Disciplines

Biology

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Apr 21st, 12:00 PM Apr 21st, 2:00 PM

Initial investigation of wildflower honey using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry for geographical information

Poster Session 1

Honey has been used as a food, sugar substitute, and flavor enhancer forever. The uses for honey are extremely varied from food to medicine. It is widely touted that you can address seasonal allergies, especially those following a move, by eating local honey. For this to be true the composition of the local honey, including trapped pollen, would allow allergy symptoms to be eliminated. In this project, the volatile and semi-volatile aroma compounds in wild flower honey from several different locations were analyzed. Headspace SPME coupled with GC-MS will be used to help develop the characteristic flavor and aroma profiles of each honey analyzed. Then in combination with statistical analysis, such as principle component or cluster analysis, allowed for the characterizing of these honeys based on location. The goal of this project is to detect regional variations in honey to begin to establish the idea of terroir for honey.

https://digitalcommons.coastal.edu/ugrc/test1/test1track/22