Evidence map›Paper›PMID 35161887›Full record

ArticleSensors (Basel, Switzerland)2022

Opto-Microfluidic Integration of the Bradford Protein Assay in Lithium Niobate Lab-on-a-Chip.

Leonardo Zanini, Annamaria Zaltron, Enrico Turato, Riccardo Zamboni, Cinzia Sada

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Leonardo ZaniniPhysics and Astronomy Department, University of Padova, Via Marzolo 8, 35131 Padova, Italy.ORCID 0000-0001-8256-7366
Annamaria ZaltronPhysics and Astronomy Department, University of Padova, Via Marzolo 8, 35131 Padova, Italy.ORCID 0000-0002-5633-809X
Enrico TuratoPhysics and Astronomy Department, University of Padova, Via Marzolo 8, 35131 Padova, Italy.ORCID 0000-0002-6454-5988
Riccardo ZamboniInstitute of Applied Physics, University of Münster, Corrensstrasse 2/4, 48149 Muenster, Germany.
Cinzia SadaPhysics and Astronomy Department, University of Padova, Via Marzolo 8, 35131 Padova, Italy.ORCID 0000-0002-7607-0481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper deals with the quantification of proteins by implementing the Bradford protein assay method in a portable opto-microfluidic platform for protein concentrations lower than 1.4 mg/mL. Absorbance is measured by way of optical waveguides integrated to a cross-junction microfluidic circuit on a single lithium niobate substrate. A new protocol is proposed to perform the protein quantification based on the high correlation of the light absorbance at 595 nm, as commonly used in the Bradford method, with the one achieved at 633 nm with a cheap commercially available diode laser. This protocol demonstrates the possibility to quantify proteins by using nL volumes, 1000 times less than the standard technique such as paper-analytical devices. Moreover, it shows a limit of quantification of at least 0.12 mg/mL, which is four times lower than the last literature, as well as a better accuracy (98%). The protein quantification is obtained either by using one single microfluidic droplet as well by performing statistical analysis over ensembles of several thousands of droplets in less than 1 min. The proposed methodology presents the further advantage that the protein solutions can be reused for other investigations and the same pertains to the opto-microfluidic platform.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsBiological AssayLab-On-A-Chip DevicesNiobiumOxideslithium niobateNiobiumOxidesBradford assayopto-microfluidicsprotein quantification

Identifiers

PMID35161887
PMCPMC8840398

What OpenQuestion holds

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Registered trials

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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.