Dynamic sampling from

Md Moniruzzaman, Andresa B Bezerra, Md Mohibullah, Robert L Judd, James G Granneman, Christopher J Easley

Abstract read

In one paragraph

Article in Lab on a chip, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Dynamic sampling fromLab on a chip · 2024
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.

Md MoniruzzamanDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.

Andresa B BezerraDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.

Md MohibullahDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.

Robert L JuddDepartment of Anatomy, Physiology, and Pharmacology, Auburn University, Auburn, AL, USA.

James G GrannemanCenter for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA.

Christopher J EasleyDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.ORCID 0000-0002-2403-4147

Funding

NIDDK NIH HHS R01 DK093810

6 · The paper itself

Abstract

Pathologies in adipose (fat) tissue function are linked with human diseases such as diabetes, obesity, metabolic syndrome, and cancer. Dynamic, rapid release of metabolites has been observed in adipocyte cells and tissue, yet higher temporal resolution is needed to adequately study this process. In this work, a microfluidic device with precise and regular valve-automated droplet sampling, termed a microfluidic analog-to-digital converter (μADC), was used to sample secretions from ∼0.75 mm diameter adipose explants from mice, and on-chip salt water electrodes were used to merge sampled droplets with reagent droplets from two different fluorometric coupled enzyme assays. By integrating sampling and assays on-chip, either glycerol or non-esterified fatty acids (NEFA), or both, were quantified optically within merged 12 nanoliter droplets using a fluorescence microscope with as high as 20 second temporal resolution. Limits of detection were 6 μM for glycerol (70 fmol) and 0.9 μM for NEFA (10 fmol). Multiple

Indexed as

Adipose TissueGlycerolAnimalsFatty AcidsFatty Acids, NonesterifiedLab-On-A-Chip DevicesMiceMicrofluidic Analytical TechniquesFatty AcidsFatty Acids, NonesterifiedGlycerol

Identifiers

PMID39344798

DOI10.1039/d4lc00664j

PMCPMC12911469

What Socratic holds

Textmetadata

LicenceTDM

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 Socratic graph.