EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published
This submission belongs to the session 06. MODECO-05: Molec. Diversity, Energy, & Ecosystems, Puyo, Ecuador-Porto, Portugal-Paris, France, EPA, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
30 Mar, 2020
Citation
Amaury Pérez Martínez, Karel Dieguez Santana, Oscar Miguel Rivera-Borroto, Gerardo Maykel Casañola-Martín, MODEC05-2020, International Workshop on the Natural Products and Agro-Industrial Processes in Ecuadorian Amazon region, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06782
Share
Email
Facebook
Twitter
LinkedIn

MODEC05-2020, International Workshop on the Natural Products and Agro-Industrial Processes in Ecuadorian Amazon region

Karel Dieguez Santana 1
Oscar Miguel Rivera-Borroto 1
1. Universidad Estatal Amazónica
Abstract

Welcome to the MODEC2020 workshop. This is Amazon State University's (UEA) FIFTH workshop (30 Jan 2020–30 Jan 2021), devoted to the promotion and application of the Multidisciplinary Sciences to the development of natural products and agro-industrial processes in Ecuadorian Amazon regions. This includes the application of Information and Communications Technologies (ICTs) for data analysis and computational model including the fields of Agro-industrial Engineering, Chemistry, Chemical Engineering, Biotechnology, Veterinary Medicine, and/or Environmental Sciences, etc. We invite you to visit the official web of the workshop: https://mol2net-06.sciforum.net/

Keywords
Computational chemistry
Organic and Functional Foods
BioTrade
Forestry
Agro-industrial Development Processes
Manuscript
Poster
mol2net-MODEC05.pdf
Phytofabrication of silver nano particles using Ocimum sanctum leaf extract and their antibacterial and anticancer activity through oxidative damage
Analyzing chromatographic data with the Superposing Significant Interaction Rules (SSIR) chemometric tool