Evidence map›Paper›PMID 37421003›Full record

ArticleMicromachines2023

Pollution-Free and Highly Sensitive Lactate Detection in Cell Culture Based on a Microfluidic Chip.

Jiaming Shi, Wenqiang Tong, Zhihang Yu, Lei Tong, Huaying Chen, Jing Jin, Yonggang Zhu

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 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
1.6field-weighted citation impact, top 18% of its field
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, 15 citations in OpenAlex.

  1. Review
  2. Development of a sensor-compatible vascular microphysiological system for metabolic monitoring during drug-induced endothelial injury.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    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

7 authors at 1 institution in 1 country.

Jiaming ShiSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.
Wenqiang TongSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.
Zhihang YuSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.
Lei TongSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.
Huaying ChenCenter for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.
Jing JinCenter for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.ORCID 0000-0001-7867-1224
Yonggang ZhuSchool of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China.ORCID 0000-0002-5419-9508
Harbin Institute of Technology · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2019B1515120037Shenzhen Science and Technology Innovation Commission JCYJ20200109112801728
6 · The paper itself

Abstract

Cell metabolite detection is important for cell analysis. As a cellular metabolite, lactate and its detection play an important role in disease diagnosis, drug screening and clinical therapeutics. This paper reports a microfluidic chip integrated with a backflow prevention channel for cell culture and lactate detection. It can effectively realize the upstream and downstream separation of the culture chamber and the detection zone, and prevent the pollution of cells caused by the potential backflow of reagent and buffer solutions. Due to such a separation, it is possible to analyze the lactate concentration in the flow process without contamination of cells. With the information of residence time distribution of the microchannel networks and the detected time signal in the detection chamber, it is possible to calculate the lactate concentration as a function of time using the de-convolution method. We have further demonstrated the suitability of this detection method by measuring lactate production in human umbilical vein endothelial cells (HUVEC). The microfluidic chip presented here shows good stability in metabolite quick detection and can work continuously for more than a few days. It sheds new insights into pollution-free and high-sensitivity cell metabolism detection, showing broad application prospects in cell analysis, drug screening and disease diagnosis.

Indexed as

cell metabolismfluid mechanicshigh sensitivitymicrofluidicspollution-free

Identifiers

PMID37421003
PMCPMC10146269
OpenAlexW4361267447

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.