Evidence map›Paper›PMID 38203062›Full record

ArticleSensors (Basel, Switzerland)2023

Limitations of Bulk Diamond Sensors for Single-Cell Thermometry.

Andrea Alessio, Ettore Bernardi, Ekaterina Moreva, Ivo Pietro Degiovanni, Marco Genovese, Marco Truccato

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Andrea AlessioPhysics Department, University of Turin, Via P. Giuria 1, 10125 Turin, Italy.ORCID 0009-0004-8879-5617
Ettore BernardiIstituto Nazionale di Ricerca Metrologica, Strada delle Cacce 91, 10135 Turin, Italy.ORCID 0000-0003-0397-7397
Ekaterina MorevaIstituto Nazionale di Ricerca Metrologica, Strada delle Cacce 91, 10135 Turin, Italy.ORCID 0000-0002-6792-8386
Ivo Pietro DegiovanniIstituto Nazionale di Ricerca Metrologica, Strada delle Cacce 91, 10135 Turin, Italy.ORCID 0000-0003-0332-3115
Marco GenoveseIstituto Nazionale di Ricerca Metrologica, Strada delle Cacce 91, 10135 Turin, Italy.ORCID 0000-0001-9186-8849
Marco TruccatoPhysics Department, University of Turin, Via P. Giuria 1, 10125 Turin, Italy.ORCID 0000-0003-1564-221X

Funding

EURAMET-EMPIR 20IND05 QADeTMIUR ERA.NET II-BIOMBPATHOS EU H2020 FET-OPEN 828946
6 · The paper itself

Abstract

The present paper reports on a Finite Element Method (FEM) analysis of the experimental situation corresponding to the measurement of the temperature variation in a single cell plated on bulk diamond by means of optical techniques. Starting from previous experimental results, we have determined-in a uniform power density approximation and under steady-state conditions-the total heat power that has to be dissipated by a single cell plated on a glassy substrate in order to induce the typical maximum temperature increase ΔTglass=1 K. While keeping all of the other parameters constant, the glassy substrate has been replaced by a diamond plate. The FEM analysis shows that, in this case, the maximum temperature increase is expected at the diamond/cell interface and is as small as ΔTdiam=4.6×10-4 K. We have also calculated the typical decay time in the transient scenario, which resulted in τ≈ 250 μs. By comparing these results with the state-of-the-art sensitivity values, we prove that the potential advantages of a longer coherence time, better spectral properties, and the use of special field alignments do not justify the use of diamond substrates in their bulk form.

Indexed as

bio-sensingdiamond temperature sensorsfinite element analysis

Identifiers

PMID38203062
PMCPMC10781228

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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.