Evidence map›Paper›PMID 32108913›Full record

ArticleExtremophiles : life under extreme conditions2020

Microbial synergy and stoichiometry in heap biooxidation of low-grade porphyry arsenic-bearing gold ore.

Jiafeng Li, Linlin Tong, Yu Xia, Hongying Yang, Wolfgang Sand, Hongzhen Xie, Bibo Lan, Shuiping Zhong, Ali Auwalu

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Article in Extremophiles : life under extreme conditions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jiafeng LiSchool of Metallurgy, Northeastern University, Shenyang, 110819, China.
Linlin TongSchool of Metallurgy, Northeastern University, Shenyang, 110819, China. tongll@smm.neu.edu.cn.
Yu XiaSchool of Chemical and Environmental, China University of Mining and Technology, Beijing, 100083, China.
Hongying YangSchool of Metallurgy, Northeastern University, Shenyang, 110819, China.
Wolfgang SandBiofilm Centre, Aquatische Biotechnologie, Universität Duisburg-Essen, Universitätsstraße 5, 45141, Essen, Germany.
Hongzhen XieState Key Laboratory of Comprehensive Utilization of Low-Grade Refractory Gold Ores, Zijin Mining Group Co., Ltd, Shanghang, 364200, China.
Bibo LanState Key Laboratory of Comprehensive Utilization of Low-Grade Refractory Gold Ores, Zijin Mining Group Co., Ltd, Shanghang, 364200, China.
Shuiping ZhongState Key Laboratory of Comprehensive Utilization of Low-Grade Refractory Gold Ores, Zijin Mining Group Co., Ltd, Shanghang, 364200, China.
Ali AuwaluSchool of Metallurgy, Northeastern University, Shenyang, 110819, China.

Funding

National Natural Science Foundation of China U1608254Zijin mining Group Co., Ltd ZJKY2017(B)KFJJ01Zijin mining Group Co., Ltd ZJKY2017(B)KFJJ02
6 · The paper itself

Abstract

Heap biooxidation method was used to evaluate the availability of Paodaoling gold ore in Anhui province, China. 15,000 tons of gold ores (≤ 10 mm in diameter) were bioxidized under mesophilic conditions. Under the synergistic effect of microbial community, arsenic and sulfur were oxidized by 42% and 38% after 80 days. Relatively, leaching of gold was improved from 36 to 78% after heap biooxidation. The sequencing results showed there were 28 operational taxonomic units identified the microbial community in the heap. The main genera were Acidithiobacillus, Ferroplasma, Acidiferrobacter and Nitrospira. According to stoichiometry, the content of microorganisms with various functions tended to be balanced. The biomass production rate was 10 g/s, the CO

Indexed as

BacteriaAcidithiobacillusArsenicChinaGoldOxidation-ReductionArsenicGoldHeap biooxidationMetabolic functionMicrobial communityPorphyry-type gold oreStoichiometry

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.