Evidence map›Paper›PMID 40044783›Full record

ArticleScientific reports2025

Improvement of the optical cavity-based biosensor's limit of detection using optimal 3-aminopropyltriethoxysilane process.

Marzhan Sypabekova, Jenna Kleiss, Aidan Hagemann, Sophia Schuemann, Riley Wills, Bernd Zechmann, Seunghyun Kim

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Marzhan SypabekovaDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA.
Jenna KleissDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA.
Aidan HagemannDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA.
Sophia SchuemannDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA.
Riley WillsDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA.
Bernd ZechmannThe Center for Microscopy and Imaging, Baylor University, Waco, TX, USA.
Seunghyun KimDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX, USA. Seunghyun_Kim@baylor.edu.

Funding

Development of a low cost, label-free, and highly sensitive optical cavity-based biosensor for point-of-care diagnosticsR15GM146233 · NIGMS · BAYLOR UNIVERSITY · PI KIM, SEUNGHYUN · 2022 to 2022
$420k
NIGMS NIH HHS R15 GM146233
6 · The paper itself

Abstract

Optical resonator-based biosensors are important for advancing medical diagnostics and environmental monitoring due to their high sensitivity and label-free detection capabilities. In this study, we present a systematic comparison of three 3-aminopropyltriethoxysilane (APTES) functionalization methods - ethanol-based, methanol-based, and vapor-phase - on an Optical Cavity-based Biosensor (OCB) designed to detect streptavidin. The APTES process is an important first step for surface functionalization to form a linker to immobilize receptor molecules on the sensor surface. Our aim was to identify the deposition conditions that yield a uniform APTES layer, with an enhanced bioreceptor immobilization and improved sensor performance. By using a differential detection approach using two laser diodes at 808 nm and 880 nm, we achieved real-time intensity measurements in the OCB that enabled sensitive detection of target analyte. Among the three APTES methods tested, the methanol-based protocol (0.095% APTES) led to a significantly improved limit of detection (LOD) of 27 ng/mL, a threefold improvement over our previous results. Detailed atomic force microscopy (AFM), contact angle, and dose-response analyses confirmed the high quality of the monolayer formed under optimal conditions, emphasizing the importance of solvent choice and controlled deposition parameters for obtaining stable functional layers. These findings emphasize how the improved APTES functionalization directly enhances the sensitivity and reliability of our OCB system, offering a robust and adaptable approach for real-time, label-free detection in diverse biosensing applications.

Indexed as

Biosensing TechniquesPropylaminesSilanesLimit of DetectionStreptavidinamino-propyl-triethoxysilanePropylaminesSilanesStreptavidin

Identifiers

PMID40044783
PMCPMC11882925

What Socratic 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 Socratic graph.