Evidence map›Paper›PMID 37512736›Full record

ArticleMicromachines2023

Valveless On-Chip Aliquoting for Molecular Diagnosis.

Andersson A Romero Deza, Federico Schaumburg, Claudio L A Berli

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 61% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Andersson A Romero DezaFacultad de Ciencias, Universidad Nacional de Ingeniería, Lima 15333, Peru.
Federico SchaumburgPredio CCT CONICET Santa Fe, INTEC (Universidad Nacional del Litoral-CONICET), RN 168, Santa Fe 3000, Argentina.ORCID 0000-0002-3564-7571
Claudio L A BerliPredio CCT CONICET Santa Fe, INTEC (Universidad Nacional del Litoral-CONICET), RN 168, Santa Fe 3000, Argentina.ORCID 0000-0002-1321-6738
Consejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of Engineering · PE

Funding

National Scientific and Technical Research Council PIP 11220200101392CO
6 · The paper itself

Abstract

The detection of nucleic acids as specific markers of infectious diseases is commonly implemented in molecular biology laboratories. The translation of these benchtop assays to a lab-on-a-chip format demands huge efforts of integration and automation. The present work is motivated by a strong requirement often posed by molecular assays that combine isothermal amplification and CRISPR/Cas-based detection: after amplification, a 2-8 microliter aliquot of the reaction products must be taken for the subsequent reaction. In order to fulfill this technical problem, we have designed and prototyped a microfluidic device that is able to meter and aliquot in the required range during the stepped assay. The operation is achieved by integrating a porous material that retains the desired amount of liquid after removing the excess reaction products, an innovative solution that avoids valving and external actuation. The prototypes were calibrated and experimentally tested to demonstrate the overall performance (general fluidics, metering, aliquoting, mixing and reaction). The proposed aliquoting method is fully compatible with additional functions, such as sample concentration or reagent storage, and could be further employed in alternative applications beyond molecular diagnosis.

Indexed as

CRISPR/Casisothermal amplificationlab-on-a-chipmeteringmolecular diagnosis

Identifiers

PMID37512736
PMCPMC10386703
OpenAlexW4384525735

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.