Evidence map›Paper›PMID 31230240›Full record

ArticleEnvironmental science and pollution research international2019

Recovery of heavy metals from waste printed circuit boards: statistical optimization of leaching and residue characterization.

Rasoul Khayyam Nekouei, Farshid Pahlevani, Rabeeh Golmohammadzadeh, Mohammad Assefi, Ravindra Rajarao, Yen-Hao Chen, Veena Sahajwalla

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Rasoul Khayyam NekoueiCentre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia. r.nekouei@unsw.edu.au.
Farshid PahlevaniCentre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.
Rabeeh GolmohammadzadehDepartment of Chemical Engineering, Monash University, Clayton, Victoria, 3800, Australia.
Mohammad AssefiCentre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.
Ravindra RajaraoCentre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.
Yen-Hao ChenSchool of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.
Veena SahajwallaCentre for Sustainable Materials Research and Technology (SMaRT), School of Materials Science and Engineering, UNSW Sydney, Kensington, 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite attempts to enhance the recycling of waste printed circuit boards (WPCBs), the simultaneous recovery of major metals of WPCBs using an efficient approach is still a great challenge. This study mainly concerned with applying an effective statistical tool to optimize the recovery of metal content (i.e., Cu, Fe, Zn, Pb, Ni, Sn, and Al) embedded in WPCBs using a leaching agent without any additive or oxidative agent. Another target was to optimize a multi-response recovery process by minimizing time, energy, and acid consumption during the leaching. Effective parameters and their levels, including leaching time (20-60 min), temperature (25-45 °C), solid to liquid (S/L) ratio (1/8-1/20 g/ml), and acid molarity (1-2.7 M), were optimized. A well-established statistical approach (i.e., response surface methodology (RSM)) was applied to precisely quantify and interpret the effects. General optimum conditions for nine responses were introduced with the desirability of ≈ 85%. Finally, the solid residue of leaching was characterized and results showed the morphology, structure, and composition of the residue content (i.e., polymers and ceramics) remained the same after the leaching, indicating the neutral behavior of the leaching process on these two materials. Also, thermal behavior and phase analysis of the original WPCBs and leaching residue were compared and analyzed. Graphical abstract.

Indexed as

AcidsCopperElectronic WasteMetals, HeavyRecyclingAcidsCopperMetals, HeavyAnalysis of residueDesign of experimentsElectronic wasteHeavy metalsRecycling

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.