Evidence map›Paper›PMID 32896130›Full record

ArticleACS sensors2020

Mass Transfer Limitations of Porous Silicon-Based Biosensors for Protein Detection.

Sofia Arshavsky Graham, Evgeniy Boyko, Rachel Salama, Ester Segal

Abstract read
In one paragraph

Article in ACS sensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Can we still use the Michaelis-Menten model for enzymatic microneedle sensors?Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Aptasensors versus immunosensors-Which will prevail?Engineering in life sciences · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. 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

4 authors.

Sofia Arshavsky GrahamDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Evgeniy BoykoDepartment of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Rachel SalamaDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Ester SegalDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.ORCID 0000-0001-9472-754X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous silicon (PSi) thin films have been widely studied for biosensing applications, enabling label-free optical detection of numerous targets. The large surface area of these biosensors has been commonly recognized as one of the main advantages of the PSi nanostructure. However, in practice, without application of signal amplification strategies, PSi-based biosensors suffer from limited sensitivity, compared to planar counterparts. Using a theoretical model, which describes the complex mass transport phenomena and reaction kinetics in these porous nanomaterials, we reveal that the interrelated effect of bulk and hindered diffusion is the main limiting factor of PSi-based biosensors. Thus, without significantly accelerating the mass transport to and within the nanostructure, the target capture performance of these biosensors would be comparable, regardless of the nature of the capture probe-target pair. We use our model to investigate the effect of various structural and biosensor characteristics on the capture performance of such biosensors and suggest rules of thumb for their optimization.

Indexed as

Biosensing TechniquesNanostructuresPorositySiliconSiliconaptamersaptasensorbiosensorshindered diffusionmass transferporous siliconproteins

Identifiers

PMID32896130
PMCPMC7589614

What OpenQuestion holds

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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.