Back to the bar
Scientists

How Scientists Have Deployed AI To Detect Fraudulent Wines

Discover how scientists are combating wine fraud with Artificial Intelligence, using a groundbreaking algorithm to trace origins, reveal chemical signatures, and safeguard the authenticity of premium wines.

Helan Singh

February 01, 2024

1

1. The Wine Fraud Challenge

Procuring poor-quality wine masquerading as premium poses a significant challenge for sommeliers and the wine industry, leading to a lucrative but illegal trade estimated to cost European sales nearly US$3.2 billion in revenue.

2

2. AI Intervention

Scientists have harnessed Artificial Intelligence (AI) to combat wine fraud by developing an algorithm that detects fraudulent wines by employing chemical analysis to trace the drink's origin.

3

3. Technological Approach

The algorithm utilises gas chromatography to analyse 80 wines harvested over 12 years from seven Bordeaux estates, creating a unique signature for each premium liquor by drawing on all chemicals detected in the drink.

4

4. Grouping Wines

Rather than focusing on individual compounds, the algorithm groups wines with similar signatures, allowing researchers to differentiate wines based on the subtlest differences in the tiniest chemical compounds.

5

5. Revealing Origins

The AI algorithm successfully revealed chemical clusters corresponding to specific chateaux, effectively mapping Bordeaux based on the chromatography findings and providing insights into the wine's origin.

6

6. Micro-Level Differentiation

The algorithm's application demonstrated its ability to scrutinise grapes, soil, and microclimate, providing near-accurate results in determining whether a wine is a vintage, showcasing its potential in preventing wine fraud.

7

7. Application Beyond Fraud Detection

Beyond fraud prevention, the AI program can monitor winemaking quality and technique, ensuring proper blending and craftsmanship, thereby reducing costs associated with producing quality blends.

8

8. Economic Impact

By confirming whether a wine matches its label, the algorithm becomes a crucial tool in curbing fraudulent networks dealing in fake wines, potentially safeguarding the economic interests of the European wine market.

5000
5000
5000
5000
5000
5000
5000
5000
5000