00000caa a22000003i 4500 UP-1685594773862388581 Buklod 20210319175619.0 m | | ta 210319s2018 xx r |||| u|eng d (iLib)UPBAG-00039513772 STII-DOST BAG rda eng ARTICLE-2766 Angeles-Agdeppa, Imelda author. Agricultural residue feedstock selection for polyhydroxyalkanoates production using AHP-GRA by Princess J. Requiso, Fidel Rey P. Nayve Jr., Catalino G. Alfafara, Ruby Lynn G. Ventura, Erwin C. Escobar, and Jey-R S. Ventura. 2018. pages 693-709 illustrations (some color) 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 703-704) The potential of polyhydroxyalkanoates (PHA) as substitute to durable petroleum-based plastics is currently explored because of its biodegradability and satisfactory properties. However, its high production cost ? primarily due to the cost of substrate ? limits its commercialization. As a solution, lignocellulosic agricultural residues can be used as feedstock to lower the production cost. To systematically determine the best agricultural residue for PHA production, this study employed the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA). Based on the results, it was identified that the feedstock composition criterion was given a higher weight over the economic criterion. Additionally, conversion efficiency was ranked first in terms of the overall weights of all the criteria, followed by cellulose content and processing cost. GRA showed that corn stover was the most preferred lignocellulosic substrate for PHA production, followed by banana pseudostem and sugarcane bagasse. Sensitivity analysis also proved that corn stover is an excellent feedstock candidate, particularly if conversion efficiency and processing cost criteria are given higher weights. Related studies such as economic and life cycle analyses, as well as process improvement, may also be incorporated with the results of this study to provide comprehensive information on selecting a suitable feedstock for sustainable PHA production. Engineering. Agricultural residue. Analytic hierarchy process. Grey relational analysis. Multi-criteria decision analysis. Polyhydroxyalkanoates. Nayve, Jr., Fidel Rey P. author. Alfafara, Catalino G. author. Ventura, Ruby Lynn G. author. Escobar, Erwin C. author. Ventura, Jey-R S. author. The Philippine Journal of Science Vol. 147, no. 4, December 2018. Request full-text access via UPB University Library through https://forms.gle/KZjBv7aRtY6jiL5E9 (viewed 19 March 2021) FI UPBAG UPBAG-MAIN ARTICLE-2766 Analytics