Evidence map›Paper›PMID 41688656›Full record

ArticleScientific reports2026

Smart CO

Kenji Sorimachi, Toshinori Tsukada

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Kenji SorimachiThe Room of Emeritus Professor, Dokkyo Medical University, Mibu, Tochigi, 321-0293, Japan. kenjis@jcom.home.ne.jp.
Toshinori TsukadaThe President Office, KSI, Takasaki, Gunma, 370-1201, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the Industrial Revolution, atmospheric CO2 concentrations have increased, disrupting Earth’s heat radiation balance and contributing to the rise in global mean temperature. This temperature increase naturally accelerates the evaporation of H2O and intensifies climate change. To mitigate climate change effectively, the accumulated atmospheric CO2 concentration must be reduced immediately. Current CO2 capture technologies primarily rely on amines (synthetic organic compounds), but the global adoption of these technologies remains limited. In this context, we recently developed an innovative method utilizing NaOH and CaCl2 to capture and store CO2 by converting it into stable and harmless CaCO3 (the primary component of limestone and coral) through simple chemical reactions. Given CO2’s inherent property of high solubility in water under ambient conditions, the present study was designed to develop a new CO2 capture and release method based on this characteristic. We found that CO2 readily dissolves in water and is easily released when its concentration in the water exceeds that of the surrounding environment. Based on these findings, we propose a smart CO2 capture and release system that uses water as a mediator. Furthermore, increasing the gas pressure and water flow rate enhanced CO2 absorption efficiency, while the addition of NaOH to the water markedly accelerated the absorption process. The proposed system can also be applied to separate CO2 from other gases—such as O2, N2, H2, CH4, and CO—which are nearly insoluble in water. The proposed system operates continuously without a step-wise process and offers a sustainable solution with minimal environmental impact.

Indexed as

Carbon DioxideCalcium CarbonateCalcium ChlorideClimate ChangeSodium HydroxideSolubilityWaterCalcium CarbonateCalcium ChlorideCarbon DioxideSodium HydroxideWater

Identifiers

PMID41688656
PMCPMC12923727

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.