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Title: Plant-based amyloids from food waste for removal of heavy metals from contaminated water
Authors: Soon, Wei Long
Peydayesh, Mohammad
Mezzenga, Raffaele
Miserez, Ali
Keywords: Science::Biological sciences
Issue Date: 2022
Source: Soon, W. L., Peydayesh, M., Mezzenga, R. & Miserez, A. (2022). Plant-based amyloids from food waste for removal of heavy metals from contaminated water. Chemical Engineering Journal, 445, 136513-.
Journal: Chemical Engineering Journal
Abstract: Water pollution is one of the major global threats brought about by industrial, agricultural, and any other anthropogenic activity. Heavy metals represent a large group of water pollutants that can accumulate in the human body, causing cancer and mutagenic diseases. Technologies currently used to treat polluted wastewaters of heavy metals employ chemical, ion-exchange, and membrane purification methods. However, these techniques are energy-intensive due to high pressure and power requirements for membrane-based technologies, or highly selective, as in ion-exchange resins, making drinking water less affordable in developing countries. In this study, plant amyloid-carbon membranes consisting of sunflower and peanut amyloid fibrils were fabricated through a green and sustainable process and were used to remove toxic heavy metal pollutants to drinkable standards with negligible energy consumption. Protein-rich sunflower and peanut meals serve as low-cost raw materials, from which proteins were extracted, isolated, and self-assembled into functional amyloid fibrils for heavy metal removal. These amyloid fibrils were incorporated into hybrid carbon/amyloid membranes and used to filer Pt-, Cr-, and Pb-containing water to produce water of drinkable standards containing < 10 ppb heavy metals. This process can easily be upscaled due to its simplicity and minimal use of chemical reagents, pointing towards the future of low-cost yet efficient water treatment technologies.
ISSN: 1385-8947
DOI: 10.1016/j.cej.2022.136513
Rights: © The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles
SBS Journal Articles

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