Evidence map›Paper›PMID 37375410›Full record

ReviewMolecules (Basel, Switzerland)2023

The Recent Development of Acoustic Sensors as Effective Chemical Detecting Tools for Biological Cells and Their Bioactivities.

Mostafa Gouda, Hesham S Ghazzawy, Nashi Alqahtani, Xiaoli Li

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. 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
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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

4 authors.

Mostafa GoudaCollege of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.ORCID 0000-0002-8174-4145
Hesham S GhazzawyDate Palm Research Center of Excellence, King Faisal University, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0002-6616-1793
Nashi AlqahtaniDate Palm Research Center of Excellence, King Faisal University, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0002-7190-4256
Xiaoli LiCollege of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.ORCID 0000-0001-9689-9054

Funding

"Belt and Road" joint project fund between Zhejiang University, China and National Research Centre, Egypt BR102-2023Deputyship for Research Innovation, Ministry of Education in Saudi Arabia INSTV007Key R&D Projects in Zhejiang Province 2022C02044, 2023C02009, 2023C02043National Natural Science Foundation of China 32171889
6 · The paper itself

Abstract

One of the most significant developed technologies is the use of acoustic waves to determine the chemical structures of biological tissues and their bioactivities. In addition, the use of new acoustic techniques for in vivo visualizing and imaging of animal and plant cellular chemical compositions could significantly help pave the way toward advanced analytical technologies. For instance, acoustic wave sensors (AWSs) based on quartz crystal microbalance (QCM) were used to identify the aromas of fermenting tea such as linalool, geraniol, and trans-2-hexenal. Therefore, this review focuses on the use of advanced acoustic technologies for tracking the composition changes in plant and animal tissues. In addition, a few key configurations of the AWS sensors and their different wave pattern applications in biomedical and microfluidic media progress are discussed.

Indexed as

Biosensing TechniquesAcousticsAnimalsQuartzQuartz Crystal Microbalance TechniquesSoundQuartzacoustic sensorsacoustic wave devicesemerging technologiespiezoelectric materialsquartz crystal microbalance

Identifiers

PMID37375410
PMCPMC10304203

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.