Evidence map›Paper›PMID 39318420›Full record

ReviewFrontiers in chemistry2024

Reviewing advances in nanophotonic biosensors.

Zunaira Javaid, Muhammad Aamir Iqbal, Saher Javeed, Siti Sarah Maidin, Kareem Morsy, Ali A Shati, Jeong Ryeol Choi

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors.

Zunaira JavaidDepartment of Biochemistry, Kinnaird College for Women University, Lahore, Pakistan.
Muhammad Aamir IqbalSchool of Materials Science and Engineering, Zhejiang University, Hangzhou, China.
Saher JaveedDepartment of Physics, Government College University Lahore, Lahore, Pakistan.
Siti Sarah MaidinFaculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia.
Kareem MorsyBiology Department, College of Science, King Khalid University, Abha, Saudi Arabia.
Ali A ShatiBiology Department, College of Science, King Khalid University, Abha, Saudi Arabia.
Jeong Ryeol ChoiSchool of Electronic Engineering, Kyonggi University, Suwon, Gyeonggi-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensing, a promising branch of exploiting nanophotonic devices, enables meticulous detection of subwavelength light, which helps to analyze and manipulate light-matter interaction. The improved sensitivity of recent high-quality nanophotonic biosensors has enabled enhanced bioanalytical precision in detection. Considering the potential of nanophotonics in biosensing, this article summarizes recent advances in fabricating nanophotonic and optical biosensors, focusing on their sensing function and capacity. We typically classify these types of biosensors into five categories: phase-driven, resonant dielectric nanostructures, plasmonic nanostructures, surface-enhanced spectroscopies, and evanescent-field, and review the importance of enhancing sensor performance and efficacy by addressing some major concerns in nanophotonic biosensing, such as overcoming the difficulties in controlling biological specimens and lowering their costs for ease of access. We also address the possibility of updating these technologies for immediate implementation and their impact on enhancing safety and health.

Indexed as

biomoleculeschallengesnanophotonic biosensorsphase-driven sensorssurface plasmon resonance

Identifiers

PMID39318420
PMCPMC11420028

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.