Evidence map›Paper›PMID 30424372›Full record

ReviewMicromachines2018

Nano and Microsensors for Mammalian Cell Studies.

Ioana Voiculescu, Masaya Toda, Naoki Inomata, Takahito Ono, Fang Li

Abstract readReview
In one paragraph

Review in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. 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

5 authors.

Ioana VoiculescuMechanical Engineering Department, City College of New York, New York, NY 10031, USA. voicules@ccny.cuny.edu.
Masaya TodaGraduate School of Engineering, Tohoku University, Sendai 980-8579, Japan. mtoda@nme.mech.tohoku.ac.jp.
Naoki InomataGraduate School of Engineering, Tohoku University, Sendai 980-8579, Japan. inomata@nme.mech.tohoku.ac.jp.ORCID 0000-0003-2048-0913
Takahito OnoGraduate School of Engineering, Tohoku University, Sendai 980-8579, Japan. ono@nme.mech.tohoku.ac.jp.
Fang LiMechanical Engineering, New York Institute of Technology, New York, NY 11568, USA. fli08@nyit.edu.

Funding

City University of New York PSC-CUNY round 48U.S. Army W911NF-13-D-0001
6 · The paper itself

Abstract

This review presents several sensors with dimensions at the nano- and micro-scale used for biological applications. Two types of cantilever beams employed as highly sensitive temperature sensors with biological applications will be presented. One type of cantilever beam is fabricated from composite materials and is operated in the deflection mode. In order to achieve the high sensitivity required for detection of heat generated by a single mammalian cell, the cantilever beam temperature sensor presented in this review was microprocessed with a length at the microscale and a thickness in the nanoscale dimension. The second type of cantilever beam presented in this review was operated in the resonant frequency regime. The working principle of the vibrating cantilever beam temperature sensor is based on shifts in resonant frequency in response to temperature variations generated by mammalian cells. Besides the cantilever beam biosensors, two biosensors based on the electric cell-substrate impedance sensing (ECIS) used to monitor mammalian cells attachment and viability will be presented in this review. These ECIS sensors have dimensions at the microscale, with the gold films used for electrodes having thickness at the nanoscale. These micro/nano biosensors and their mammalian cell applications presented in the review demonstrates the diversity of the biosensor technology and applications.

Indexed as

cantilever beamelectric cell-substrate impedance sensingimpedance spectroscopyresonant frequency

Identifiers

PMID30424372
PMCPMC6187600

What OpenQuestion holds

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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.