Sustainable Strategy Based on Induced Precipitation for the Purification of Phycobiliproteins
authors Martins, M; Soares, BP; Santos, JHPM; Bharmoria, P; Acosta, MAT; Dias, ACRV; Coutinho, JAP; Ventura, SPM
nationality International
journal ACS SUSTAINABLE CHEMISTRY & ENGINEERING
author keywords Gracilaria gracilis; induced precipitation; purification; phycobiliproteins; R-phycoerythrin
abstract Phycobiliproteins are fluorescent proteins mainly produced by red macroalgae and cyanobacteria. These proteins, essential to the survival of these organisms, find application in many fields of interest, from medical, pharmaceutical, and cosmetic to food and textile industries. The biggest obstacle to their use is the lack of simple environmental and economical sustainable methodologies to 1 obtain these proteins with high purity. In this work, a new purification process is proposed based on the induced precipitation of the target proteins followed by ultrafiltration. Purities of 89.5% of both phycobiliproteins and 87.3% of R-phycoerythrin were achieved using ammonium sulfate and poly(acrylic acid) sodium salts as precipitation agents (followed by an ultrafiltration step), while maintaining high recovery yields and protein structure stability. Environmental analysis performed to evaluate the proposed process shows that the carbon footprint for the proposed process is much lower than that reported for alternative methodology, and the economic analysis reveals the cost-effective character associated to its high performance. This work is a step toward more sustainable and effective methodologies/processes with high industrial potential.
publisher AMER CHEMICAL SOC
issn 2168-0485
year published 2021
volume 9
issue 10
beginning page 3942
ending page 3954
digital object identifier (doi) 10.1021/acssuschemeng.0c09218
web of science category 13
subject category Chemistry, Multidisciplinary; Green & Sustainable Science & Technology; Engineering, Chemical
unique article identifier WOS:000630171400031
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journal impact factor 7.632
5 year journal impact factor 7.741
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