Evidence map›Paper›PMID 42006479›Full record

ArticleChemical science2026

A fingerprint-based polymeric sensing platform for comprehensive quality assessment of complex culture media in cell manufacturing.

Shunsuke Tomita, Kumi Morikawa, Naoshi Kojima, Sayaka Ishihara, Hiroyuki Kusada, Hideyuki Tamaki, Ryoji Kurita

Abstract read
In one paragraph

Article in Chemical science, 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

7 authors.

Shunsuke TomitaHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan s.tomita@aist.go.jp.ORCID https://orcid.org/0000-0002-0586-6976
Kumi MorikawaHealth and Medical Research Institute, AIST 2217-14 Hayashi-cho Takamatsu Kagawa 761-0301 Japan.ORCID https://orcid.org/0009-0005-8574-9516
Naoshi KojimaHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan s.tomita@aist.go.jp.ORCID https://orcid.org/0000-0002-2896-0113
Sayaka IshiharaHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan s.tomita@aist.go.jp.
Hiroyuki KusadaBiomanufacturing Process Research Center, AIST 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan.ORCID https://orcid.org/0000-0003-0563-2990
Hideyuki TamakiBiomanufacturing Process Research Center, AIST 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan.ORCID https://orcid.org/0000-0001-9208-1247
Ryoji KuritaHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Higashi Tsukuba Ibaraki 305-8566 Japan s.tomita@aist.go.jp.ORCID https://orcid.org/0000-0001-5666-9561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of cell manufacturing across biotechnology, regenerative medicine, and cellular agriculture is driving a growing demand for simple and reliable analytical tools to ensure the consistent quality of complex culture media, whether derived from natural or synthetic sources. Here, we present a hypothesis-free, data-driven polymeric sensing platform that employs an array of synthetic polymer probes to generate fluorescence-response fingerprints, enabling the statistical detection of subtle compositional differences in complex biological mixtures. This approach, based on charged block-copolymers conjugated with aggregation-induced-emission (AIE) fluorophores, successfully distinguishes 16 animal sera and identifies differences in serum origin, lot, and storage conditions through rapid and simple fluorescence measurements. Unexpectedly, the resulting response fingerprints also encode phylogenetically informative signals among animal species. Furthermore, the platform detects quality variations in serum-free supplements for stem-cell culture and naturally derived supplements used for microbial culture, including subtle compositional changes undetectable by standard cell-culture assays. As this fingerprint-based strategy does not require prior assumptions about which specific components are important, it can be flexibly adapted to a diverse array of supplement types and quality control needs. Overall, this versatile sensing platform provides a robust and reproducible framework for proactive quality assessment in cell manufacturing, supporting the reliable production of cell-based products.

Identifiers

PMID42006479
PMCPMC13088908

What Socratic 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 Socratic graph.