Evidence map›Paper›PMID 34693403›Full record

ArticleACS measurement science au2021

Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection.

Sofia Arshavsky-Graham, Simon J Ward, Naama Massad-Ivanir, Thomas Scheper, Sharon M Weiss, Ester Segal

Open access · goldAbstract read
In one paragraph

Article in ACS measurement science au, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Aptasensors versus immunosensors-Which will prevail?Engineering in life sciences · 2022
    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

6 authors at 3 institutions in 3 countries.

Sofia Arshavsky-GrahamDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Simon J WardDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee 37235, United States.ORCID https://orcid.org/0000-0003-0915-7584
Naama Massad-IvanirDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
Thomas ScheperInstitute of Technical Chemistry, Leibniz Universität Hannover, Callinstraße 5, 30167 Hanover, Germany.
Sharon M WeissDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee 37235, United States.ORCID https://orcid.org/0000-0003-2252-3104
Ester SegalDepartment of Biotechnology and Food Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.ORCID https://orcid.org/0000-0001-9472-754X
Leibniz University Hannover · DETechnion – Israel Institute of Technology · ILVanderbilt University · US

Funding

Sensitive and quantitative malaria diagnostic using nanoscale porous silicon.R21AI156693 · NIAID · VANDERBILT UNIVERSITY · PI WEISS, SHARON M · 2021 to 2022
$415k
NIAID NIH HHS R21 AI156693
6 · The paper itself

Abstract

The anterior gradient homologue-2 (AGR2) protein is an attractive biomarker for various types of cancer. In pancreatic cancer, it is secreted to the pancreatic juice by premalignant lesions, which would be an ideal stage for diagnosis. Thus, designing assays for the sensitive detection of AGR2 would be highly valuable for the potential early diagnosis of pancreatic and other types of cancer. Herein, we present a biosensor for label-free AGR2 detection and investigate approaches for enhancing the aptasensor sensitivity by accelerating the target mass transfer rate and reducing the system noise. The biosensor is based on a nanostructured porous silicon thin film that is decorated with anti-AGR2 aptamers, where real-time monitoring of the reflectance changes enables the detection and quantification of AGR2, as well as the study of the diffusion and target-aptamer binding kinetics. The aptasensor is highly selective for AGR2 and can detect the protein in simulated pancreatic juice, where its concentration is outnumbered by orders of magnitude by numerous proteins. The aptasensor's analytical performance is characterized with a linear detection range of 0.05-2 mg mL

Identifiers

PMID34693403
PMCPMC8532149
OpenAlexW3209603894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.