Evidence map›Paper›PMID 39770270›Full record

ArticleMicromachines2024

Hollow Fiber Microreactor Combined with Digital Twin to Optimize the Antimicrobial Evaluation Process.

Kazuhiro Noda, Toshihiro Kasama, Marie Shinohara, Masakaze Hamada, Yukiko T Matsunaga, Madoka Takai, Yoshikazu Ishii, Ryo Miyake

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

8 authors.

Kazuhiro NodaBioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.
Toshihiro KasamaBioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0001-6753-1509
Marie ShinoharaInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.
Masakaze HamadaDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo 143-8540, Japan.ORCID 0000-0002-0482-8986
Yukiko T MatsunagaInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0000-0002-0483-9423
Madoka TakaiBioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0002-6238-6717
Yoshikazu IshiiDepartment of Microbiology and Infectious Diseases, Toho University School of Medicine, Tokyo 143-8540, Japan.
Ryo MiyakeBioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

Funding

AMED 22fk0108604h1002
6 · The paper itself

Abstract

In order to reproduce pharmacokinetics (PK) profiles seen in vivo, the Hollow Fiber Infection Model (HFIM) is a useful in vitro module in the evaluation of antimicrobial resistance. In order to reduce the consumption of culture medium and drugs, we developed a hollow fiber microreactor applicable to the HFIM by integrating the HFIM function. Next, we constructed a novel control method by using the "digital twin" of the microreactor to achieve precise concentration control. By integrating functions of the HFIM, the extra-capillary space volume was reduced to less than 1/10 of conventional HFIM. The control method with the digital twin can keep drug concentration in the extra-capillary space within an error of 10% under simulated drug destruction. The control method with the digital twin can also stabilize the drug concentration both in the intra-capillary space and the extra-capillary space within 15 min.

Indexed as

antimicrobial resistancefluidicsminiaturizationnumerical simulation

Identifiers

PMID39770270
PMCPMC11677925

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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.