Evidence map›Paper›PMID 37401915›Full record

ArticleLab on a chip2023

A combinatorial droplet microfluidic device integrated with mass spectrometry for enzyme screening.

Noel S Ha, Jenny R Onley, Kai Deng, Peter Andeer, Benjamin P Bowen, Kshitiz Gupta, Peter W Kim, Nathaniel Kuch, Mark Kutschke, Alex Parker and 5 more

Abstract read
In one paragraph

Article in Lab on a chip, 2023. 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. Article
  2. Review
  3. Innovative Advances in Droplet Microfluidics.Research (Washington, D.C.) · 2025
    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

15 authors.

Noel S HaJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.ORCID http://orcid.org/0000-0002-3275-577X
Jenny R OnleyJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.ORCID http://orcid.org/0000-0003-0842-7378
Kai DengJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.
Peter AndeerLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Benjamin P BowenLawrence Berkeley National Laboratory, Berkeley, CA, USA.
Kshitiz GuptaJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.ORCID http://orcid.org/0000-0002-1732-6176
Peter W KimJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.
Nathaniel KuchUniversity of Wisconsin - Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-8155-0340
Mark KutschkeUniversity of Wisconsin - Madison, Madison, WI, USA.
Alex ParkerUniversity of Wisconsin - Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-9053-2083
Fangchao SongLawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-9427-9879
Brian FoxUniversity of Wisconsin - Madison, Madison, WI, USA.
Paul D AdamsJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.
Markus de RaadLawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-8263-9198
Trent R NorthenJoint BioEnergy Institute, Emeryville, CA, USA. trnorthen@lbl.gov.

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
NIGMS NIH HHS T32 GM008349
6 · The paper itself

Abstract

Mass spectrometry (MS) enables detection of different chemical species with a very high specificity; however, it can be limited by its throughput. Integrating MS with microfluidics has a tremendous potential to improve throughput and accelerate biochemical research. In this work, we introduce Drop-NIMS, a combination of a passive droplet loading microfluidic device and a matrix-free MS laser desorption ionization technique called nanostructure-initiator mass spectrometry (NIMS). This platform combines different droplets at random to generate a combinatorial library of enzymatic reactions that are deposited directly on the NIMS surface without requiring additional sample handling. The enzyme reaction products are then detected with MS. Drop-NIMS was used to rapidly screen enzymatic reactions containing low (on the order of nL) volumes of glycoside reactants and glycoside hydrolase enzymes per reaction. MS "barcodes" (small compounds with unique masses) were added to the droplets to identify different combinations of substrates and enzymes created by the device. We assigned xylanase activities to several putative glycoside hydrolases, making them relevant to food and biofuel industrial applications. Overall, Drop-NIMS is simple to fabricate, assemble, and operate and it has potential to be used with many other small molecule metabolites.

Indexed as

Glycoside HydrolasesNanostructuresLab-On-A-Chip DevicesMass SpectrometrySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGlycoside Hydrolases

Identifiers

PMID37401915
PMCPMC10484474

What OpenQuestion 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 OpenQuestion graph.