Evidence map›Paper›PMID 33806162›Full record

ArticleGenes2021

From Laboratory towards Industrial Operation: Biomarkers for Acidophilic Metabolic Activity in Bioleaching Systems.

Sabrina Marín, Mayra Cortés, Mauricio Acosta, Karla Delgado, Camila Escuti, Diego Ayma, Cecilia Demergasso

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 at 1 institution in 1 country.

Sabrina MarínCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.
Mayra CortésCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.
Mauricio AcostaCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.ORCID 0000-0002-3091-1986
Karla DelgadoCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.
Camila EscutiCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.
Diego AymaDepartamento de Matemáticas, Facultad de Ciencias, Universidad Católica del Norte, Antofagasta 1240000, Chile.ORCID 0000-0001-6555-1506
Cecilia DemergassoCentro de Biotecnología, Universidad Católica del Norte, Antofagasta 1240000, Chile.ORCID 0000-0003-4563-3066
Universidad Católica del Norte · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the actual mining scenario, copper bioleaching, mainly raw mined material known as run-of-mine (ROM) copper bioleaching, is the best alternative for the treatment of marginal resources that are not currently considered part of the profitable reserves because of the cost associated with leading technologies in copper extraction. It is foreseen that bioleaching will play a complementary role in either concentration-as it does in Minera Escondida Ltd. (MEL)-or chloride main leaching plants. In that way, it will be possible to maximize mines with installed solvent-extraction and electrowinning capacities that have not been operative since the depletion of their oxide ores. One of the main obstacles for widening bioleaching technology applications is the lack of knowledge about the key events and the attributes of the technology's critical events at the industrial level and mainly in ROM copper bioleaching industrial operations. It is relevant to assess the bed environment where the bacteria-mineral interaction occurs to learn about the limiting factors determining the leaching rate. Thus, due to inability to accurately determine in-situ key variables, their indirect assessment was evaluated by quantifying microbial metabolic-associated responses. Several candidate marker genes were selected to represent the predominant components of the microbial community inhabiting the industrial heap and the metabolisms involved in microbial responses to changes in the heap environment that affect the process performance. The microbial community's predominant components were

Indexed as

AcidithiobacillusAcidsBacteriaBiodiversityBiomarkersCopperIndustrial MicrobiologyLaboratoriesAcidsBiomarkersCopperacidophilic bacteriadecision makinggenetic markersheap leachingmetabolic monitoringrelative gene expressionRT-qPCR

Identifiers

PMID33806162
PMCPMC8065656
OpenAlexW3138423412

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.