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中空纤维微反应器结合数字孪生技术优化抗菌评估过程。

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

作者信息

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

机构信息

Bioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.

Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.

出版信息

Micromachines (Basel). 2024 Dec 20;15(12):1517. doi: 10.3390/mi15121517.

DOI:10.3390/mi15121517
PMID:39770270
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11677925/
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.

摘要

为了重现体内所见的药代动力学(PK)特征,中空纤维感染模型(HFIM)是评估抗菌药物耐药性时一种有用的体外模型。为了减少培养基和药物的消耗,我们通过整合HFIM功能开发了一种适用于HFIM的中空纤维微反应器。接下来,我们利用微反应器的“数字孪生”构建了一种新型控制方法,以实现精确的浓度控制。通过整合HFIM的功能,毛细血管外空间体积减少到传统HFIM的十分之一以下。在模拟药物破坏情况下,数字孪生控制方法可使毛细血管外空间的药物浓度保持在10%的误差范围内。数字孪生控制方法还能在15分钟内稳定毛细血管内空间和毛细血管外空间的药物浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/f2eae9e9629e/micromachines-15-01517-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/0e0dd08035da/micromachines-15-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/eee2541b1ff1/micromachines-15-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/f864d0fe2249/micromachines-15-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/b62ab53a2537/micromachines-15-01517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/ea155c5ecb78/micromachines-15-01517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/c0ba717a0817/micromachines-15-01517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/b213a345324e/micromachines-15-01517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/6d68d58c817d/micromachines-15-01517-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/f2eae9e9629e/micromachines-15-01517-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/0e0dd08035da/micromachines-15-01517-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/eee2541b1ff1/micromachines-15-01517-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/f864d0fe2249/micromachines-15-01517-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/b62ab53a2537/micromachines-15-01517-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/ea155c5ecb78/micromachines-15-01517-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/c0ba717a0817/micromachines-15-01517-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/b213a345324e/micromachines-15-01517-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/6d68d58c817d/micromachines-15-01517-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11677925/f2eae9e9629e/micromachines-15-01517-g009.jpg

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J Antimicrob Chemother. 2022 Dec 23;78(1):8-20. doi: 10.1093/jac/dkac394.
3
Full-length whole-genome sequencing analysis of emerged meropenem-resistant mutants during long-term in vitro exposure to meropenem for borderline meropenem-susceptible carbapenemase-producing and non-carbapenemase-producing Enterobacterales.
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J Antimicrob Chemother. 2022 Dec 23;78(1):209-215. doi: 10.1093/jac/dkac376.
4
Comparison in Terms of Accuracy between DLP and LCD Printing Technology for Dental Model Printing.DLP与LCD打印技术用于牙科模型打印的精度比较
Dent J (Basel). 2022 Sep 28;10(10):181. doi: 10.3390/dj10100181.
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Antibiotics (Basel). 2022 Aug 9;11(8):1082. doi: 10.3390/antibiotics11081082.
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