Using yeast to sustainably remediate and extract heavy metals from waste waters

硫化物 环境科学 Mercury(编程语言) 硫化氢 化学 废物管理 生物群 污染 废水 环境化学 环境工程 生态学 硫黄 生物 程序设计语言 有机化学 工程类 计算机科学
作者
George L. Sun,Erin. E. Reynolds,Angela M. Belcher
出处
期刊:Nature sustainability [Nature Portfolio]
卷期号:3 (4): 303-311 被引量:145
标识
DOI:10.1038/s41893-020-0478-9
摘要

Our demand for electronic goods and fossil fuels has challenged our ecosystem with contaminating amounts of heavy metals, causing numerous water sources to become polluted. To counter heavy-metal waste, industry has relied on a family of physicochemical processes, with chemical precipitation being one of the most commonly used. However, the disadvantages of chemical precipitation are vast, including the generation of secondary waste, technical handling of chemicals and need for complex infrastructures. To circumvent these limitations, biological processes to naturally manage waste have been sought. Here, we show that yeast can act as a biological alternative to traditional chemical precipitation by controlling naturally occurring production of hydrogen sulfide (H2S). Sulfide production was harnessed by controlling the sulfate assimilation pathway, where strategic knockouts and culture conditions generated H2S from 0 to over 1,000 ppm (~30 mM). These sulfide-producing yeasts were able to remove mercury, lead and copper from real-world samples taken from the Athabasca oil sands. More so, yeast surface display of biomineralization peptides helped control for size distribution and crystallinity of precipitated metal sulfide nanoparticles. Altogether, this yeast-based platform not only removes heavy metals but also offers a platform for metal re-extraction through precipitation of metal sulfide nanoparticles. Physicochemical treatments of heavy-metal pollution in waste water have several environmental and structural disadvantages. This Article shows that sulfide-producing yeasts are able to remove mercury, lead and copper from real-world water samples and offer a platform for metal re-extraction.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wuping发布了新的文献求助10
1秒前
李健的应助被108采纳,获得10
1秒前
ni发布了新的文献求助10
1秒前
1秒前
蜗牛发布了新的文献求助10
2秒前
2秒前
斯文败类的应助被大风采纳,获得10
2秒前
田様的应助被羊驼采纳,获得10
3秒前
就是一种水稻的完成签到,获得积分10
3秒前
3秒前
3秒前
极限001的应助被likes采纳,获得50
3秒前
Wissenheimer的应助被枫叶采纳,获得30
4秒前
Akim的应助被Zzd采纳,获得10
4秒前
4秒前
LinYX发布了新的文献求助10
4秒前
杨111发布了新的文献求助10
5秒前
5秒前
6秒前
ff完成签到,获得积分10
7秒前
Dawn发布了新的文献求助10
7秒前
7秒前
Led发布了新的文献求助10
8秒前
皮在痒发布了新的文献求助10
9秒前
NICE完成签到,获得积分20
9秒前
自由沂完成签到,获得积分20
9秒前
9秒前
10秒前
AK完成签到,获得积分10
10秒前
10秒前
闫浩东完成签到,获得积分10
11秒前
11秒前
11秒前
懵懂的狗发布了新的文献求助10
12秒前
peggypan发布了新的文献求助10
12秒前
13秒前
bkagyin的应助被xymm采纳,获得10
13秒前
13秒前
烟花的应助被无限的寒珊采纳,获得10
14秒前
在水一方的应助被超帅从彤采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8135387
求助须知:如何正确求助?哪些是违规求助? 9536657
关于积分的说明 21618960
捐赠科研通 7718078
什么是DOI,文献DOI怎么找? 3419514
关于科研通互助平台的介绍 2544798
邀请新用户注册赠送积分活动 2461214