Evidence map›Paper›PMID 36477760›Full record

ArticleLab on a chip2022

Integrated silicon microfluidic chip for picoliter-scale analyte segmentation and microscale printing for mass spectrometry imaging.

Weihua Shi, Sara Bell, Hrishikesh Iyer, Christopher Kenji Brenden, Yan Zhang, Sungho Kim, Insu Park, Rashid Bashir, Jonathan Sweedler, Yurii Vlasov

Abstract read
In one paragraph

Article in Lab on a chip, 2022. 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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Droplet-Based Microfluidics: Applications in Pharmaceuticals.Pharmaceuticals (Basel, Switzerland) · 2023
    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

10 authors.

Weihua ShiDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA. yvlasov@illinois.edu.ORCID 0000-0002-0953-1516
Sara BellDepartment of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA.ORCID 0000-0001-7225-7620
Hrishikesh IyerDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA. yvlasov@illinois.edu.ORCID 0000-0002-2395-8727
Christopher Kenji BrendenDepartment of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA.ORCID 0000-0003-2261-7434
Yan ZhangDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA. yvlasov@illinois.edu.
Sungho KimDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA. yvlasov@illinois.edu.ORCID 0000-0002-7838-9744
Insu ParkDepartment of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA.ORCID 0000-0002-3229-8345
Rashid BashirDepartment of Bioengineering, University of Illinois Urbana Champaign, IL 61801, USA.ORCID 0000-0002-7225-9180
Jonathan SweedlerDepartment of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, IL 61801, USA.ORCID 0000-0003-3107-9922
Yurii VlasovDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, IL 61801, USA. yvlasov@illinois.edu.ORCID 0000-0002-5864-3346

Funding

Miniaturized silicon neurochemical probe to monitor brain chemistryRF1NS126061 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI VLASOV, YURII · 2022 to 2022
$3.2M
MINIMALLY-INVASIVE NANO-DIALYSIS NEURAL PROBE FOR MULTIPLEXED MONITORING OF NEUROCHEMICALS WITH HIGH SPATIO-TEMPORAL RESOLUTIONUF1NS107677 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID, SWEEDLER, JONATHAN V. · 2018 to 2018
$3.0M
NINDS NIH HHS RF1 NS126061NINDS NIH HHS UF1 NS107677
6 · The paper itself

Abstract

A silicon single-chip microfluidics system that integrates microscale fluidic channels, an analyte segmentation device, and a nozzle for electrohydrodynamic-assisted printing is designed for hyphenation with MALDI mass spectrometry (MS) imaging. A miniaturized T-junction segments analytes into monodisperse picoliter oil-isolated compartments. The printing nozzle deposits generated droplets one-by-one into an array on a conductive substrate without splitting or coalescing. Virtually single-shot MS analysis is enabled due to the ultrasmall droplet volumes and highly localized printing. The signal-to-noise ratio indicates that detection limits at the attomole level are achieved for γ-aminobutyric acid.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsPrintingSiliconSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSilicon

Identifiers

PMID36477760
PMCPMC9764807

What OpenQuestion holds

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LicenceCC BY-NC
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.