Evidence map›Paper›PMID 42344848›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Integrated optical and thermal modeling for the development of a scalable multi-sample light-assisted drying platform for biologic stabilization.

Anteneh A Tsegaye, Alexander J Suptela, Russell G Keanini, Susan R Trammell

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anteneh A TsegayeDepartment of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, NC, United States.
Alexander J SuptelaDepartment of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, NC, United States.
Russell G KeaniniDepartment of Mechanical Engineering and Engineering Science, University of North Carolina at Charlotte, Charlotte, NC, United States.
Susan R TrammellDepartment of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Light-Assisted Drying (LAD) is a new technique for stabilizing biologics such as vaccines and protein-based therapeutics by using near-infrared laser radiation to drive selective water removal and encapsulate materials within a protective sugar matrix. This process enables room-temperature storage of biological products and reduces dependence on costly cold-chain logistics. While previous studies utilized single-sample LAD, this work introduces a multi-sample platform for the first time. By integrating optical and thermal modeling, we demonstrate that 1,064 nm radiation allows for energy reuse across vertically stacked samples to enable scalable, high-throughput processing. Methods: LightTools optical simulations were used to model laser energy deposition across vertically stacked samples. A lumped-parameter thermal model was developed to predict temperature evolution and drying behavior during laser irradiation. Together, these models guided the design of a processing system. A prototype system was subsequently constructed and tested. Results: LightTools simulations revealed that each sample absorbed Discussion: These findings demonstrate the feasibility of a high-throughput LAD system and represent an important step toward its industrial-scale implementation for biologic preservation.

Indexed as

biopreservationlight-assisted dryingmultiple-sample processingoptical modelingthermal modelingthermal stabilization

Identifiers

PMID42344848
PMCPMC13287017

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.