Evidence map›Paper›PMID 27678000›Full record

ReviewEnvironmental science and pollution research international2016

Integrated bioleaching of copper metal from waste printed circuit board-a comprehensive review of approaches and challenges.

Abhishek Kumar Awasthi, Xianlai Zeng, Jinhui Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abhishek Kumar AwasthiState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Rm. 805, Sino-Italian Environment and Energy Efficient Building, Beijing, 100084, China.
Xianlai ZengState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Rm. 805, Sino-Italian Environment and Energy Efficient Building, Beijing, 100084, China.
Jinhui LiState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Rm. 805, Sino-Italian Environment and Energy Efficient Building, Beijing, 100084, China. jinhui@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waste electrical and electronic equipment (e-waste) is the most rapidly growing waste stream in the world, and the majority of the residues are openly disposed of in developing countries. Waste printed circuit boards (WPCBs) make up the major portion of e-waste, and their informal recycling can cause environmental pollution and health risks. Furthermore, the conventional disposal and recycling techniques-mechanical treatments used to recover valuable metals, including copper-are not sustainable in the long term. Chemical leaching is rapid and efficient but causes secondary pollution. Bioleaching is a promising approach, eco-friendly and economically feasible, but it is slower process. This review considers the recycling potential of microbes and suggests an integrated bioleaching approach for Cu extraction and recovery from WPCBs. The proposed recycling system should be more effective, efficient and both technically and economically feasible.

Indexed as

CopperElectronic WasteRecyclingWater Pollutants, ChemicalCopperWater Pollutants, ChemicalBioleachingCopper metalLigandPrinted circuit boardWEEE

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.