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Updated: Oct 26, 2026

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
Published on: October 5, 2016
An integrated data-driven framework for mapping grapevine berry valorization
Hajar Rastegari1, Ramin Khezri2, Hassan Nasrollahzadeh Saravi3
1Centre for Research and Consultancy (CRC), UNITAR International University, Petaling Jaya, Selangor, 47301, Malaysia.
Abstract:
Global production of grapes and its associated waste streams continue to rise, but providing robust decision-making support for optimum valorization pathways remains a significant challenge. The emission intensity, free fraction, chemical diversity, and market performance indices have been rarely assessed in combination to establish a data-driven framework for grapevine berry valorization. To bridge this gap, a secondary open-access dataset was assessed in this study. This dataset synthesized published literature on volatile organic compound profiles across diverse grapevine berry samples.•Pearson correlation analysis conducted between emission intensity and diversity index.•t-test and ANOVA analysis performed to assess differences in diversity index across berry types and tissue sources.•Market performance analysis conducted to identify high-priority compounds for targeted extraction.•Emission intensity, free fraction, diversity index, and market performance indices were integrated into a unified valorization mapping system.•A multi-criteria evaluation framework developed for resource recovery decision-making.
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