Development of a Smartphone-Linked Immunosensing System for Oxytocin Determination.

Miku Sarubo, Yoka Suzuki, Yuka Numazaki, Hiroyuki Kudo

Abstract read

In one paragraph

Article in Biosensors, 2025. 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

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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

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.

Miku SaruboElectrical Engineering Program, Graduate School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.

Yoka SuzukiDepartment of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.

Yuka NumazakiDepartment of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.

Hiroyuki KudoDepartment of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.

Funding

Japan Society for the Promotion of Science 22K04901

6 · The paper itself

Abstract

We report an optical immunosensing system for oxytocin (OXT) based on image analysis of color reactions in an enzyme-linked immunosorbent assay (ELISA). We employed a miniaturized optical immunosensing unit that was functionally connected to an LED and a smartphone camera. Our system measures OXT levels using a metric called the RGBscore, which is derived from the red, green, and blue (RGB) information in the captured images. By calculating the RGBscore regressively using the brute-force method, this approach can be applied to smartphones with various CMOS image sensors and firmware. The lower detection limit was determined to be 5.26 pg/mL, and the measurement results showed a higher correlation (r = 0.972) with those obtained from conventional ELISA. These results suggest the potential for its application in a simplified health management system for individuals.

Indexed as

Biosensing TechniquesOxytocinSmartphoneEnzyme-Linked Immunosorbent AssayHumansOxytocincolorimetric analysisimage-based sensingimmunosensoroxytocinsmartphone

Identifiers

PMID40277575

DOI10.3390/bios15040261

PMCPMC12025206

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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.