An integrated data-driven framework for mapping grapevine berry valorization.
6 affiliations
- 1Centre for Research and Consultancy (CRC), UNITAR International University, Petaling Jaya, Selangor, 47301, Malaysia.
- 2Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Patumwan, Bangkok, 10330, Thailand.
- 3Caspian Sea Ecology Research Centre (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran.
- 4Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Medan, 20155, Indonesia.
- 5School of Information Technology, UNITAR International University, Petaling Jaya, Selangor, 47301, Malaysia.
- 6Centre for Innovation and Technology Adoption (CITA), 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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BibTeX
@article{rastegari2026integrated,
title = {{An integrated data-driven framework for mapping grapevine berry valorization.}},
author = {Hajar Rastegari and Ramin Khezri and Hassan Nasrollahzadeh Saravi and Romi Fadillah Rahmat and Farhad Nadi},
journal = {MethodsX},
year = {2026},
month = oct,
doi = {10.1016/j.mex.2026.104206},
url = {https://europepmc.org/article/MED/42927124},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - An integrated data-driven framework for mapping grapevine berry valorization.
AU - Hajar Rastegari
AU - Ramin Khezri
AU - Hassan Nasrollahzadeh Saravi
AU - Romi Fadillah Rahmat
AU - Farhad Nadi
PY - 2026
DA - 2026/10/13
JO - MethodsX
DO - 10.1016/j.mex.2026.104206
UR - https://europepmc.org/article/MED/42927124
AB - 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.
SN - 2215-0161
ER -