Evidence map›Paper›PMID 36166829›Full record

ArticleAnalytical chemistry2022

Attomole-Level Multiplexed Detection of Neurochemicals in Picoliter Droplets by On-Chip Nanoelectrospray Ionization Coupled to Mass Spectrometry.

Yan Zhang, Keyin Li, Yaoyao Zhao, Weihua Shi, Hrishikesh Iyer, Sungho Kim, Christopher Brenden, Jonathan V Sweedler, Yurii Vlasov

Abstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Yan ZhangDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Keyin LiDepartment of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Yaoyao ZhaoDepartment of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Weihua ShiDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Hrishikesh IyerDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Sungho KimDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-7838-9744
Christopher BrendenDepartment of Bioengineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.
Jonathan V SweedlerDepartment of Chemistry and the Beckman Institute, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0003-3107-9922
Yurii VlasovDepartment of Electrical and Computer Engineering, University of Illinois Urbana Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-5864-3346

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
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
NIDA NIH HHS P30 DA018310NINDS NIH HHS RF1 NS126061NINDS NIH HHS UF1 NS107677
6 · The paper itself

Abstract

While droplet microfluidics is becoming an effective tool for biomedical research, sensitive detection of droplet content is still challenging, especially for multiplexed analytes compartmentalized within ultrasmall droplets down to picoliter volumes. To enable such measurements, we demonstrate a silicon-based integrated microfluidic platform for multiplexed analysis of neurochemicals in picoliter droplets via nanoelectrospray ionization (nESI)-mass spectrometry (MS). An integrated silicon microfluidic chip comprising downscaled 7 μm-radius channels, a compact T-junction for droplet generation, and an integrated nESI emitter tip is used for segmentation of analytes into picoliter compartments and their efficient delivery for subsequent MS detection. The developed system demonstrates effective detection of multiple neurochemicals encapsulated within oil-isolated plugs down to low picoliter volumes. Quantitative measurements for each neurochemical demonstrate limits of detection at the attomole level. Such results are promising for applications involving label-free and small-volume detection for monitoring a range of brain chemicals.

Indexed as

Microfluidic Analytical TechniquesSiliconMicrofluidicsSpectrometry, Mass, Electrospray IonizationSilicon

Identifiers

PMID36166829
PMCPMC9558086

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.