Evidence map›Paper›PMID 31076584›Full record

ArticleScientific reports2019

Affordable Microfluidic Bead-Sorting Platform for Automated Selection of Porous Particles Functionalized with Bioactive Compounds.

Sahand Saberi-Bosari, Mohammad Omary, Ashton Lavoie, Raphael Prodromou, Kevin Day, Stefano Menegatti, Adriana San-Miguel

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Article
  6. Design of 8-mer Peptides that BlockbioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. 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.

Sahand Saberi-BosariDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA.
Mohammad OmaryDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA.
Ashton LavoieDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA.ORCID http://orcid.org/0000-0001-9842-8520
Raphael ProdromouDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA.
Kevin DayDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA.
Stefano MenegattiDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA. smenega@ncsu.edu.
Adriana San-MiguelDepartment of Chemical and Biomolecular Engineering, NC State University, Raleigh, NC, 27695, USA. asanmiguel@ncsu.edu.ORCID http://orcid.org/0000-0003-0172-2163

Funding

Elucidating Synaptic Regulators via High-Throughput Morphology CharacterizationR00AG046911 · NIA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI SAN MIGUEL, ADRIANA · 2016 to 2018
$984k
NIA NIH HHS R00 AG046911
6 · The paper itself

Abstract

The ability to rapidly and accurately evaluate bioactive compounds immobilized on porous particles is crucial in the discovery of drugs, diagnostic reagents, ligands, and catalysts. Existing options for solid phase screening of bioactive compounds, while highly effective and well established, can be cost-prohibitive for proof-of-concept and early stage work, limiting its applicability and flexibility in new research areas. Here, we present a low-cost microfluidics-based platform enabling automated screening of small porous beads from solid-phase peptide libraries with high sensitivity and specificity, to identify leads with high binding affinity for a biological target. The integration of unbiased computer assisted image processing and analysis tools, provided the platform with the flexibility of sorting through beads with distinct fluorescence patterns. The customized design of the microfluidic device helped with handling beads with different diameters (~100-300 µm). As a microfluidic device, this portable novel platform can be integrated with a variety of analytical instruments to perform screening. In this study, the system utilizes fluorescence microscopy and unsupervised image analysis, and can operate at a sorting speed of up to 125 beads/hr (~3.5 times faster than a trained operator) providing >90% yield and >90% bead sorting accuracy. Notably, the device has proven successful in screening a model solid-phase peptide library by showing the ability to select beads carrying peptides binding a target protein (human IgG).

Indexed as

Combinatorial Chemistry TechniquesHumansImage Processing, Computer-AssistedImmunoglobulin GLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesPeptide LibraryPorosityProof of Concept StudyUnsupervised Machine LearningImmunoglobulin GPeptide Library

Identifiers

PMID31076584
PMCPMC6510793

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.