Evidence map›Paper›PMID 39155094›Full record

ArticleAnalytica chimica acta2024

1-Octanol-assisted ultra-small volume droplet microfluidics with nanoelectrospray ionization mass spectrometry.

Yaoyao Zhao, Insu Park, Stanislav S Rubakhin, Rashid Bashir, Yurii Vlasov, Jonathan V Sweedler

Abstract read
In one paragraph

Article in Analytica chimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Yaoyao ZhaoDepartment of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Insu ParkHolonyak Micro & Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Stanislav S RubakhinDepartment of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Rashid BashirBeckman Institute for Advanced Science and Technology, Holonyak Micro & Nanotechnology Laboratory, and Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Yurii VlasovBeckman Institute for Advanced Science and Technology, Holonyak Micro & Nanotechnology Laboratory, and Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Jonathan V SweedlerDepartment of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. Electronic address: jsweedle@illinois.edu.

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

backgroundDroplet microfluidics with push-pull and microdialysis sampling from brain slices, cultured cells and engineered tissues produce low volume mass limited samples containing analytes sampled from the extracellular space. This sampling approach coupled to mass spectrometry (MS) detection allows evaluation of time-dependent chemical changes. Our goal is an approach for continuous sampling and segregation of extracellular samples into picoliter droplets followed by the characterization of the droplets using nanoelectrospray ionization (nESI) MS. The main focus here is the optimization of the carrier oil for the microfluidic device that neither affects the stability of picoliter droplets nor compatibility with MS detection of a range of analytes.

resultsWe developed and characterized a 1-octanol-assisted ultra-small volume droplet microfluidic nESI MS system for the analysis of neurotransmitters in distinct samples including cerebrospinal fluid (CSF). The use of a 1-octanol oil phase was effective for generation of aqueous droplets as small as 65 pL and enabled detection of acetylcholine (ACh) and gamma-aminobutyric acid (GABA) in water and artificial CSF. Continuous MS analysis of droplets for extended periods up to 220 min validated the long-term stability of droplet generation and analyte detection by nESI-MS. As an example, ACh response demonstrated a linear working range (R SIGNIFICANCE: The established droplet microfluidics - nESI MS approach allows the analysis of microenvironments at high spatiotemporal resolution. The approach may allow microsampling and monitoring of spatiotemporal dynamics of neurochemicals and drugs in the brain and spinal cord of live animals.

Indexed as

1-OctanolSpectrometry, Mass, Electrospray IonizationAcetylcholineAnimalsgamma-Aminobutyric AcidLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNanotechnologyParticle SizeRats1-OctanolAcetylcholinegamma-Aminobutyric AcidCerebral spinal fluidDroplet microfluidicsLow volume samplingMass spectrometryNeurotransmitters

Identifiers

PMID39155094
PMCPMC11413884

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.