Evidence map›Paper›PMID 34119024›Full record

ArticleAnalytica chimica acta2021

One-step enzyme kinetics measurement in 3D printed microfluidics devices based on a high-performance single vibrating sharp-tip mixer.

Xiaojun Li, Ziyi He, Chong Li, Peng Li

Abstract read
In one paragraph

Article in Analytica chimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Advances in Machine Learning Models for Predicting Enzyme Kinetic Parameters.Journal of chemical information and modeling · 2026
    Review
  3. Review
  4. Review
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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

4 authors.

Xiaojun LiC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Ziyi HeC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Chong LiC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Peng LiC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA. Electronic address: peng.li@mail.wvu.edu.

Funding

Development of VSSI-probe technology for in situ probing biological systems using mass spectrometryR01GM135432 · NIGMS · WEST VIRGINIA UNIVERSITY · PI LI, PENG · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM135432
6 · The paper itself

Abstract

Measuring enzyme kinetics is of great importance to understand many biological processes and improve biosensing and industrial applications. Conventional methods of measuring enzyme kinetics require to prepare a series of solutions with different substrate concentrations and measure the signal response over time with these solutions, leading to tedious sample preparation steps, high reagents/sample consumption, and difficulties in studying fast enzyme kinetics. Here we report a one-step assay to measure enzyme kinetics using a 3D-printed microfluidic device, which eliminates the steps of preparing and handling multiple solutions thereby simplifying the whole workflow significantly. The assay is enabled by a highly efficient vibrating sharp-tip mixing method that can mix multiple streams of fluids with minimal mixing length (∼300 μm) and time (as low as 3 ms), and a wide range of working flow rates from 1.5 μL/min to 750 μL/min. Owing to the high performance of the mixer, a series of experiments with different substrate concentrations are performed by simply adjusting the flow rates of reagents loaded from three inlets in one experiment run. The Michaelis-Menten kinetics of the horseradish peroxidase (HRP)-catalyzed reaction between H

Indexed as

Lab-On-A-Chip DevicesMicrofluidicsHydrogen PeroxideKineticsPrinting, Three-DimensionalHydrogen Peroxide3D printingEnzyme kineticsLab-on-a-chipMicrofluidicsMixing

Identifiers

PMID34119024
PMCPMC8206521

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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.