Geochemical fingerprinting and machine learning for authenticating sparkling wine origins
Abstract The global wine market faces persistent threats from counterfeiting, particularly for high-value segments like sparkling wines. Traditional authentication methods relying on supply chain traceability and geographical indications are insufficient to curb rampant fraud, posing economic and he...
שמור ב:
| Principais autores: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Portfolio
2026-02-01
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| סדרה: | npj Science of Food |
| גישה מקוונת: | https://doi.org/10.1038/s41538-025-00635-0 |
| תגים: |
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