Evidence map›Paper›PMID 31226728›Full record

ArticleSensors (Basel, Switzerland)2019

Magnetic Induction Spectroscopy for Biomass Measurement: A Feasibility Study.

Ziyi Zhang, Mohammed Ali Roula, Richard Dinsdale

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Ziyi ZhangNational Innovation Institute of Defense Technology, Academy of Military Science, Beijing 100071, China. ziyizhang@nudt.edu.cn.
Mohammed Ali RoulaFaculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK. ali.roula@southwales.ac.uk.ORCID 0000-0002-6832-9115
Richard DinsdaleFaculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK. richard.dinsdale@southwales.ac.uk.
University of South Wales · GB

Funding

National Natural Science Foundation of China 51807203
6 · The paper itself

Abstract

backgroundBiomass measurement and monitoring is a challenge in a number of biotechnology processes where fast, inexpensive, and non-contact measurement techniques would be of great benefit. Magnetic induction spectroscopy (MIS) is a novel non-destructive and contactless impedance measurement technique with many potential industrial and biomedical applications. The aim of this paper is to use computer modeling and experimental measurements to prove the suitability of the MIS system developed at the University of South Wales for controlled biomass measurements.

methodsThe paper reports experimental measurements conducted on saline solutions and yeast suspensions at different concentrations to test the detection performance of the MIS system. The commercial electromagnetic simulation software CST was used to simulate the measurement outcomes with saline solutions and compare them with those of the actual measurements. We adopted two different ways for yeast suspension preparation to assess the system's sensitivity and accuracy.

resultsFor saline solutions, the simulation results agree well with the measurement results, and the MIS system was able to distinguish saline solutions at different concentrations even in the small range of 0-1.6 g/L. For yeast suspensions, regardless of the preparation method, the MIS system can reliably distinguish yeast suspensions with lower concentrations 0-20 g/L. The conductivity spectrum of yeast suspensions present excellent separability between different concentrations and dielectric dispersion property at concentrations higher than 100 g/L.

conclusionsThe South Wales MIS system can achieve controlled yeast measurements with high sensitivity and stability, and it shows promising potential applications, with further development, for cell biology research where contactless monitoring of cellular density is of relevance.

Indexed as

BiomassBiotechnologyCell CountComputer SimulationDielectric SpectroscopyElectromagnetic FieldsSaline SolutionYeastsSaline Solutionbio-impedancebiomassconductivitymagnetic induction spectroscopy (MIS)phase perturbation

Identifiers

PMID31226728
PMCPMC6631020
OpenAlexW2952810404

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.