Evidence map›Paper›PMID 40893331›Full record

ArticleACS omega2025

A Biomaterial-Based Approach to Trypsin Sensing: Design and Optimization of Gelatin-Casein Films.

Chinaza Ogbonna, Youngjin Kwon, Ka Ram Kim, Woon-Hong Yeo, Nima Ghalichechian, Luke Beardslee

Abstract read
In one paragraph

Article in ACS omega, 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

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

1 citing paper in PubMed.

  1. Wrinkle-Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

6 authors.

Chinaza OgbonnaGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-9623-3882
Youngjin KwonGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Ka Ram KimGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-5526-3882
Nima GhalichechianSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-2070-9864
Luke BeardsleeInstitute for Matter and Systems, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time postoperative monitoring systems have tremendous potential to detect postoperative complications faster before patients become systemically ill. This study investigates the potential of gelatin-casein blend films as a biodegradable, implantable biomaterial platform for trypsin detection, which is a potential biomarker for an anastomotic leak from the duodenum or proximal jejunum. Although implantability has not been verified in this case, the implantability of gelatin and casein-based biomaterials is substantiated by their demonstrated cytocompatibility as evidenced below and established utility in medical applications, as evidenced by recent advancements in biomaterials research. We systematically evaluated nine gelatin-casein blends, ranging from 0:100 to 100:0 ratios to optimize their enzymatic degradability and response, establishing a material platform for future biosensing applications. Optimal refers to the sensor's ability to rapidly detect physiological concentrations of trypsin in the body while generating the maximum detectable response. Characterization of the films was performed using Fourier-Transform Infrared Spectroscopy (FTIR), UV-visible Spectroscopy (UV-vis), and Quartz Crystal Microbalance (QCM). The films' responses to trypsin were analyzed through limit of detection, initial reaction rates, and absorbance shifts. For statistical analysis, a flexible exponential decay model, was employed to assess the significance of the results. Our findings reveal that the 75:25 casein:gelatin blend exhibits superior performance, with the lowest limit of detection (7.81 × 10

Identifiers

PMID40893331
PMCPMC12391974

What OpenQuestion holds

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LicenceCC BY
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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.