Evidence map›Paper›PMID 28533632›Full record

ArticleSensors and actuators. B, Chemical2017

Local pH Monitoring of Small Cluster of Cells using a Fiber-Optic Dual-Core Micro-Probe.

Sisi Chen, Qingbo Yang, Hai Xiao, Honglan Shi, Yinfa Ma

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Label-FreeMedical devices & sensors · 2020
    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

5 authors at 1 institution in 1 country.

Sisi ChenDepartment of Chemistry, Missouri University of Science and Technology, Rolla, MO, 65409, USA.
Qingbo YangDepartment of Chemistry, Missouri University of Science and Technology, Rolla, MO, 65409, USA.
Hai XiaoDepartment of Electrical and Computer Engineering, Clemson University, Clemson, SC, 29634, USA.
Honglan ShiDepartment of Chemistry, Missouri University of Science and Technology, Rolla, MO, 65409, USA.
Yinfa MaDepartment of Chemistry, Missouri University of Science and Technology, Rolla, MO, 65409, USA.
Missouri University of Science and Technology · US

Funding

Development of a Novel Multi-functional Single Cell AnalyzerR21GM104696 · NIGMS · MISSOURI UNIVERSITY OF SCIENCE & TECHNOLOGY · PI MA, YINFA, SHI, HONGLAN · 2012 to 2014
$561k
NIGMS NIH HHS R21 GM104696
6 · The paper itself

Abstract

Biological studies of tissues and cells have enabled numerous discoveries, but these studies still bear potential risks of invalidation because of cell heterogeneity. Through high-accuracy techniques, recent studies have demonstrated that discrepancies do exist between the results from low-number-cell studies and cell-population-based results. Thus the urgent need to re-evaluate key principles on limited number of cells has been provoked. In this study, a novel designed dual-core fiber-optic pH micro-probe was fabricated and demonstrated for niche environment pH sensing with high spatial resolution. An organic-modified silicate (OrMoSils) sol-gel thin layer was functionalized by entrapping a pH indicator, 2', 7'-Bis (2-carbonylethyl)-5(6)-carboxyfluorescein (BCECF), on a ~70 μm sized probe tip. Good linear correlation between fluorescence ratio of I

Indexed as

Cell heterogeneityFiber-optic sensorLocal/niche environment sensingOrganic modified silicates (OrMoSils)pH micro-probeTiO2 nanoparticles (NPs) cytotoxicity

Identifiers

PMID28533632
PMCPMC5438087
OpenAlexW2532536278

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.