Evidence map›Paper›PMID 39635580›Full record

ArticleRegenerative therapy2024

Decreasing electricity costs of clean room for cell products during non-operation.

Mitsuru Mizuno, Koki Abe, Takashi Kakimoto, Hisashi Hasebe, Ichiro Sekiya

Abstract read
In one paragraph

Article in Regenerative therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Mitsuru MizunoCenter for Stem Cell and Regenerative Medicine, Institute of Science Tokyo, 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan.
Koki AbeEnergy Saving Technology Group, Center for Carbon Neutral Engineering, Institute of Technology, Shimizu Corporation, 3-4-17, Koto-ku, Etchūjima, Tokyo, 135-8530, Japan.
Takashi KakimotoPlanning & Public Relations Group, R&D Planning Department, Institute of Technology, Shimizu Corporation, 3-4-17, Koto-ku, Etchūjima, Tokyo, 135-0044, Japan.
Hisashi HasebeEnergy Saving Technology Group, Center for Carbon Neutral Engineering, Institute of Technology, Shimizu Corporation, 3-4-17, Koto-ku, Etchūjima, Tokyo, 135-8530, Japan.
Ichiro SekiyaCenter for Stem Cell and Regenerative Medicine, Institute of Science Tokyo, 1-5-45, Bunkyo-ku, Yushima, Tokyo 113-8519, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cell processing facilities are susceptible to environmental bacteria and must maintain sterile environments to safeguard cell products. This process involves circulating air through high-efficiency particulate air (HEPA) filters, which incurs significant maintenance costs. While cost-reduction strategies have been explored in the semiconductor industry, validations specific to cell processing facilities remain unreported. This study aims to verify whether optimizing air-conditioning management in cell processing facilities can achieve energy savings by using particle counters to measure air quality during both non-operational and hypothetical operational conditions. Methods: The study assessed particle generation under varying air conditions to evaluate potential savings and the impact of reducing air-change rates. The air conditions were defined as follows: Condition 1 (C1) represented normal air conditions (100 %), followed by C2 (72.87 %), C3 (45.74 %), C4 (18.60 %), and C5 (0 %). The number of particles was evaluated across these conditions. Particle counters measured the quantity of particles during non-operational periods and during a 2-min walking motion. The time taken for particle levels to stabilize and become undetectable was also analyzed. Theoretical electricity cost savings were estimated for hypothetical operating and non-operating hours, with calculations adjusted for facilities ranging in size from small (100 m Results: Results indicated that under air conditions C1, C2, C3, and C4, almost no particles were detected, whereas in C5, where air conditioning was halted, particle counts still remained below guideline values. Total particle counts at the four positions were significantly higher at both 0.5 and 5 μm under conditions C4 and C5 compared to other settings. The study also demonstrated that the rate of particle increase during operation varied by air-conditioning condition and position. Notably, reducing the air-change rate significantly enhanced energy savings, especially in larger facilities. For instance, annual electricity consumption in a large facility could potentially be reduced from approximately 31 million yen to approximately 9.6 million yen, yielding savings of approximately 20 million yen. Conclusions: Even with a reduced air-change rate during non-operation, it was possible to maintain the cleanliness standards for each grade. The findings suggest that current operational practices are often excessive and that significant reductions in operating costs can be achieved by adjusting ventilation frequencies during non-operational periods. This study provides crucial insights for managing cell processing facilities facing challenges such as low production rates, the necessity of operating at full capacity due to on-demand autotransplantation, and high maintenance costs.

Indexed as

Air-change rateCell productsClean roomContamination riskElectricity costs

Identifiers

PMID39635580
PMCPMC11614862

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.