Bio-based CO₂ adsorbent from puffed rice waste: Optimization and experimental evaluation
廃棄ポップライス由来のバイオベースCO₂吸着材：最適化と実験評価 (AI 翻訳)
Abeer Dar Saleh
🤖 gxceed AI 要約
日本語
本研究は、廃棄ポップライスからバイオベースCO₂吸着材を開発し、模擬教室環境で性能評価した。応答曲面法で温度・湿度・表面被覆率を最適化し、4時間で300ppm以上のCO₂削減を達成。低エネルギー再生が可能で、既存HVAC改変不要の室内展開が可能。CCUと持続可能建築の両面に貢献。
English
This study develops a bio-based CO₂ adsorbent from puffed rice waste and evaluates it in a controlled indoor chamber simulating classroom conditions. Using Response Surface Methodology, optimized parameters achieved over 300 ppm CO₂ reduction in 4 hours. The adsorbent shows high uptake (~4.6 mmol/g) at low activation temperature (~260°C), enabling energy-efficient regeneration. It offers a low-cost, passive solution for indoor air quality improvement and CCU.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではCCU技術の早期実用化が求められる中、廃棄物活用と室内環境改善を両立する本技術は建築分野の脱炭素に寄与し得る。ただし現状は実験室段階であり、実証とスケールアップが今後の課題。
In the global GX context
This paper contributes to global CCU literature by demonstrating a novel bio-waste-derived adsorbent for indoor CO₂ capture. It aligns with circular economy principles and addresses post-COVID indoor air quality concerns. The low-energy regeneration and passive deployment make it relevant for building decarbonization efforts worldwide.
👥 読者別の含意
🔬研究者:Novel bio-based adsorbent with competitive performance; useful for CCU and indoor air quality researchers.
🏢実務担当者:Potential for low-cost indoor CO₂ reduction retrofits, but requires scale-up validation.
📄 Abstract（原文）
Abstract. The urgent need for effective carbon dioxide (CO₂) capture strategies extends beyond industrial emissions to enclosed built environments, where elevated CO₂ concentrations impair occupant health, cognitive function, and overall productivity. This research introduces a bio-based adsorbent derived from thermally puffed and chemically modified waste rice, designed for high-performance indoor CO₂ capture. The material was evaluated in a custom-built 1 × 1 × 1 m controlled environmental chamber simulating classroom conditions, under systematically varied parameters of temperature (20–30 °C), relative humidity (45–65%), and surface coverage (35–55%). Using Response Surface Methodology (RSM), the study optimized these parameters to achieve a reduction of over 300 ppm within four hours, corresponding to a CO₂ removal rate of 79.25 ppm·h⁻¹ and a first-order kinetic rate constant of 0.0952 h⁻¹. The optimized model demonstrated strong predictive power (R² > 0.98) for both removal efficiency and kinetic behavior. The adsorbent exhibited a competitive uptake capacity of ~4.6 mmol·g⁻¹ at a low activation temperature (~260 °C), enabling low-energy regeneration cycles. Beyond its adsorption performance, the material’s lightweight structure and ease of integration into building interiors allow passive, scalable deployment without modification to existing HVAC systems. This positions the technology as a dual-impact solution advancing CCU goals through renewable, low-cost sorbents while supporting sustainable building innovations that improve indoor air quality in educational and commercial spaces.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.21741/9781644904176-22first seen 2026-06-16 05:14:04
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