2026 Student Flash Talks Enology

June 17, 2026 – 5:15 pm – 6:00 pm

Enology

Some student authors have been assigned oral, 3-minute Flash Talks. These “flash” presentations will provide additional opportunities for interaction between conference attendees and student researchers.

Flash Talks will take place on Wednesday, June 17, 5:15 pm – 6:00 pm, at the Boise Centre, Boise, Idaho

Moderator:

To be announced

Speakers:

5:15:00 pm – 5:18:15 pmAcid Management in Warm-Climate Tempranillo Wines
Charlotte Drop, California Polytechnic State University, San Luis Obispo
5:18:15 pm5:21:30 pmAlternatives to Sulfur Dioxide: How Efficient Are They
Brannigan du Preez, Iowa State University, Ames
5:21:30 pm5:24:45 pmImpact of Lachancea thermotolerans Yeast Strains on Acids and Sugars during Chambourcin Wine Fermentation
Amanda Fleming, University of Arkansas, Fayetteville
5:24:45 pm5:28:00 pmDose–Response Effects of Ethanol on Oral Sensations: Baseline Data for Non-Alcoholic Wine Formulation
Sydney Goodman, University of California, Davis
5:28:00 pm5:31:15 pm Scaling a Non-Contact Method for Selective Extraction of Off-Flavor Molecules in Wine
Lik Rong Lim, Oregon State University, Corvallis
5:31:15 pm5:34:30 pmA Targeted LC-MS/MS Method for Quantifying Amino Acids in Cold-Hardy Grape Juice and Wine
Andrew J. Makowski, Iowa State University, Ames
5:34:30 pm5:37:45 pmReductive Versus Oxidative Winemaking Effects on the Chemical Composition and Sensory Profile of Vermentino Wines
Amelia Pargellis, California Polytechnic State University, San Luis Obispo
5:37:45 pm5:41:00 pmEffect of Prefermentation Manipulations on the Balance of Terpenic Gewürztraminer
Julissa Preciado, California Polytechnic State University, San Luis Obispo

Brandt Bastow* | Adam Gilmore | William Drayton | Anita Oberholster

Rapid Detection and Risk Assessment of Smoke-Derived Volatile Phenols: A Chemometric Approach using Spectrofluorometry

Brandt Bastow,* Adam Gilmore, William Drayton and Anita Oberholster

*University of California, Davis, 677 Laugenour Dr., Woodland, CA, 95776, bpbastow@ucdavis.edu

The 2020 wildfires on the United States West Coast highlighted the urgent need for rapid, cost-effective methods to assess smoke exposure in wine. Analytical laboratories were inundated with samples, delaying results by over a month—an impractical timeframe for harvest decisions. Current assessment methods rely on mass spectrometry, which is accurate, but time-intensive and costly. To address these challenges, this research explores absorbance-transmission and excitation-emission matrix (A-TEEM) spectroscopy combined with chemometric modeling as a rapid alternative to quantify smoke-derived volatile phenols and their associated sensory risks. The study involves analyzing wine samples from multiple Northern California vineyards, spanning 10 varietals and several vintages. Sample preparation includes linear dilutions of severely smoke-affected grapes and wines to enhance detection of trace absorbance and fluorescence spectral signatures. Sensory analysis was conducted to determine the levels of various “smoke taint” attributes present in the wine. Single and multi-block chemometric models, employing multivariate and machine learning techniques, are currently being constructed by regressing A-TEEM spectral data against mass spectrometry and sensory analysis reference values. Statistical approaches under evaluation include gray classical least squares, parallel factor analysis, multivariate curve resolution, partial least squares, locally weighted regression (LWR), and extreme gradient boosting. Preliminary results demonstrate strong predictive correlations, with a LWR model achieving an R² of 0.997 for free guaiacol. A-TEEM demonstrates high instrumental repeatability (RSD < 2%), supporting the method’s robustness. This research aims to establish the efficacy of spectrofluorometry as a reliable, cost-effective tool for smoke taint risk assessment, enabling producers to make timely, informed decisions during wildfire-affected harvests.

Funding Support: CDFA 2021 Multi-State Specialty Crop Program

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