Work

An integrated data-driven framework for mapping grapevine berry valorization

Year: 2026

Type: article

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.

Source: MethodsX

DOI: 10.1016/j.mex.2026.104206

Authors: Hajar Rastegari, Ramin Khezri, Hassan Nasrollahzadeh Saravi, Romi Fadillah Rahmat, Farhad Nadi

Institutions: UNITAR International University, Chulalongkorn University, Agricultural Research & Education Organization, Iranian Fisheries Research Organization, Universitas Sumatera Utara

Language: English

Topic: Horticultural and Viticultural Research

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Responsible consumption and production, Zero hunger

Open Access status: gold

Estimated APC paid: $1,260