Portable Dual-Mode Biosensor for Quantitative Determination of

Jully Blackshare, Brianna Corman, Bartek Rajwa, J Paul Robinson, Euiwon Bae

Abstract read

In one paragraph

Article in Biosensors, 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

5 authors.

Jully BlackshareApplied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0009-0001-2748-2156

Brianna CormanDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-6807-1217

Bartek RajwaBindley Bioscience Center, Discovery Park, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7540-8236

J Paul RobinsonDepartment of Basic Medical Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-8383-3240

Euiwon BaeApplied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-6095-3223

Funding

Ministry of Trade, Industry and Energy RS-2024-00419426United States Department of Agriculture 59-8072-6-001

6 · The paper itself

Abstract

Foodborne pathogens remain a major global concern, demanding rapid, accessible, and determination technologies. Conventional methods, such as culture assays and polymerase chain reaction, offer high accuracy but are time-consuming for on-site testing. This study presents a portable, smartphone-assisted dual-mode biosensor that combines colorimetric and photothermal speckle imaging for improved sensitivity in lateral flow assays (LFAs). The prototype device, built using low-cost components ($500), uses a Raspberry Pi for illumination control, image acquisition, and machine learning-based signal analysis. Colorimetric features were derived from normalized RGB intensities, while photothermal responses were obtained from speckle fluctuation metrics during periodic plasmonic heating. Multivariate linear regression, with and without LASSO regularization, was used to predict

Indexed as

Biosensing TechniquesMachine LearningSalmonellaSmartphoneColorimetryFood MicrobiologyLimit of DetectionRapid Diagnostic Testscolorimetric imaginglateral flow assaymachine learningphotothermal imagingportable biosensorSalmonella

Identifiers

PMID41590309

DOI10.3390/bios16010057

PMCPMC12838602

What Socratic holds

Textmetadata

LicenceCC BY

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.