UHPLC of Polyphenols in Wine

Posters | 2010 | Agilent Technologies | PittconInstrumentation
HPLC
Industries
Food & Agriculture
Manufacturer
Agilent Technologies

Summary

Significance of Topic


The analysis of polyphenols in wine is critical for quality control, nutritional evaluation and research into health benefits. Red wine contains numerous polyphenolic compounds that influence color, flavor and stability. Achieving high peak capacity in UHPLC is essential to resolve overlapping peaks in complex matrices such as wine, ensuring accurate identification and quantitation of individual polyphenols.

Objectives and Overview of the Study


This study evaluates the effect of UHPLC column length on peak capacity, resolution and sensitivity for the separation of nineteen polyphenol standards and a red wine sample. The use of Agilent ZORBAX RRHD SB-C18 columns of varying lengths (100, 150, 200 and 300 mm) under gradient elution was investigated to maximize performance metrics including signal–to–noise ratio and mass spectral compatibility.

Methodology and Instrumentation


  • Instrument: Agilent 1290 Infinity UHPLC system with sub-2 µm ZORBAX RRHD SB-C18 columns
  • Column dimensions: 2.1 × 100, 150, 200 and 300 mm, 1.8 µm particle size
  • Mobile phase: water and acetonitrile, each containing 0.1% formic acid
  • Flow rate: 0.3 mL/min, column temperature: 30 °C
  • Detection: diode array UV at 280 nm and 325 nm; compatible with mass spectrometry in presence of formic acid
  • Injection: standards (1–3 µL) and direct injection of filtered red wine (3 µL)
  • Gradient: scaled proportionally to column length (example: 27 min to 81 min for 100 mm to 300 mm)

Main Results and Discussion


  • Peak capacity increased from 163 (150 mm) to 233 (200 mm) and 268 (300 mm).
  • Resolution (Rs) improved with column length, yielding narrower peak widths and reduced coelution.
  • Signal–to–noise for resveratrol improved from S/N = 41 at 280 nm to S/N = 88 at 325 nm, enhancing detection sensitivity.
  • Direct injection of red wine enabled identification of nineteen polyphenols, including gallic acid, catechin, caffeic acid and resveratrol.
  • System pressure rose linearly with column length, reaching up to 940 bar for the 300 mm column configuration.
  • Formic acid in the mobile phase facilitated compatibility with mass spectrometric detection for confirmatory analysis.
  • Doubling column length from 100 to 200 mm increased peak capacity by 43%, with a further 15% gain at 300 mm.

Benefits and Practical Applications


The optimized UHPLC method provides robust separation of complex wine matrices, improving confidence in polyphenol profiling for quality control, research and regulatory applications. Enhanced sensitivity at 325 nm and compatibility with mass spectrometry support trace-level quantitation and structural confirmation of bioactive compounds.

Future Trends and Applications


  • Integration with high-resolution mass spectrometry and tandem MS for structural elucidation.
  • Implementation of even smaller particle sizes and increased system pressures for further peak capacity gains.
  • Miniaturization and microflow techniques to reduce solvent consumption and enhance sensitivity.
  • Automated sample preparation and on-line extraction to improve throughput for industrial QA/QC labs.
  • Application to other complex botanical matrices and nutraceuticals beyond wine.

Conclusion


Lengthening sub-2 µm UHPLC columns significantly enhances peak capacity and resolution in polyphenol analysis of red wine. The scalable gradient approach and use of formic acid enable sensitive UV and mass spectral detection, delivering a reliable platform for accurate compound identification and quantitation in complex samples.

References


  • Chiara Cavaliere et al. Rapid-Resolution LC/MS for Polyphenols in Grape Berries. Rapid Communications in Mass Spectrometry 22, 3089–3099 (2008).
  • Xiaoli Wang et al. A Graphical Method for Understanding Peak Capacity in Gradient Elution Liquid Chromatography. Journal of Chromatography A 1125, 177–181 (2006).
  • Veronika R. Meyer. Generating Peak Capacity in Column Liquid Chromatography: The Halasz Nomograms Revised. Journal of Chromatography A 1187, 138–144 (2008).

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