Online Program Home
  My Program

Abstract Details

Activity Number: 33 - Cutting-Edge Statistical Methods for Modeling Disease Progression Processes
Type: Contributed
Date/Time: Sunday, July 30, 2017 : 2:00 PM to 3:50 PM
Sponsor: International Chinese Statistical Association
Abstract #322835
Title: Characterization of Volatile Compounds in Cowart Muscadine Grape
Author(s): June Luo*
Keywords: principle component analysis ; clustering ; variable selection

Muscadine grape (Vitis rotundifolia) is a popular fruit in the Southeastern United States because of its unique aroma and strong antioxidant capacity. Volatile compounds of a locally cultivated muscadine cultivar Cowart were characterized by Solid-phase-microextraction coupled with GC-MS. Twenty-eight volatile compounds, including fruity short-chain esters, alcohols, terpenes, and carbonyl compounds, were detected based on mass spectra and Kovats indices. Based on principal component analysis and hierarchical clustering, the grapes in stages I and II had relatively similar flavor patterns, which were different from that in stage III. Advanced statistical methods are applied to detect the most significant compounds for understanding volatile compounds at each stage to assist farmers in choosing the optimal time to harvest muscadine grapes.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2017 program

Copyright © American Statistical Association