Evidence map›Paper›PMID 38041754›Full record

ArticleMikrochimica acta2023

Microflow injection analysis based on modular 3D platforms and colorimetric detection for Fe(III) monitoring in a wide concentration range.

David Ricart, Antonio David Dorado, Conxita Lao-Luque, Mireia Baeza

Abstract read
In one paragraph

Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

4 authors.

David RicartUniversitat Politècnica de Catalunya, Avinguda de les Bases de Manresa 61-73, 08240, Manresa, Spain.ORCID http://orcid.org/0009-0006-7138-2028
Antonio David DoradoUniversitat Politècnica de Catalunya, Avinguda de les Bases de Manresa 61-73, 08240, Manresa, Spain.ORCID http://orcid.org/0000-0003-0238-5867
Conxita Lao-LuqueUniversitat Politècnica de Catalunya, Avinguda de les Bases de Manresa 61-73, 08240, Manresa, Spain.ORCID http://orcid.org/0000-0002-7342-7801
Mireia BaezaGENOCOV Research Group, Department of Chemistry, Faculty of Science, Edifici C-Nord, Universitat Autònoma de Barcelona, Carrer dels Til·Lers, 08193, Bellaterra, Spain. mariadelmar.baeza@uab.cat.ORCID http://orcid.org/0000-0002-2240-6410

Funding

ACCIÓ BIOCOLI ACE034/21/000044MCIN/AEI/10.13039/501100011033 PID2020-117520RA-I00
6 · The paper itself

Abstract

A modular microflow injection analysis (microFIA) system for the determination of Fe(III) in a bioleaching reactor has been designed, developed and validated. The different modules of the analyzer (mixer, diluter, disperser and detector) were 3D-printed. Fe(III) quantification is due by measuring the color intensity of the chelate formed between Fe(III) and salicylic acid at 525 nm. The device has been designed to dilute, disperse and detect high Fe(III) concentrations in the form of an inexpensive multi-step photometric flow cell that uses an light-emitting diode (LED) as a light source and an light-dependent resistor (LDR) as a light intensity detector. This microFIA system has been shown to be suitable for automatic and continuous determination of Fe(III) in the operation of a bioreactor for the oxidation of Fe(II). The device has a good repeatability (less than 5% of coefficient of variation in the whole range of concentrations) and accuracy of around 100%. The analyzer features an exceptional wide linear range, between 25 and 6000 mg·L

Indexed as

3D-printed microfluidic platformBioleachingCircular economye-wasteFe(III)FIA

Identifiers

PMID38041754
PMCPMC10693521

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.