인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In this study, a zirconium-gallic acid metal-organic compound (Zr-GA) was synthesized <i>via</i> a hydrothermal method and evaluated as a high-performance adsorbent for uranium(vi) removal from aqueous solutions. Comprehensive physicochemical characterization confirmed the formation of a mesoporous sorbent with a highly functionalized surface rich in oxygen-donor groups such as carboxylates and phenolics, enabling a high density of reactive binding sites. Batch experiments were conducted to assess the effects of pH, dosage, contact time, temperature, and uranium concentration, with all variables showing strong influence on sorption efficiency under 0.1 M nitric acid conditions. Kinetic studies followed the pseudo-second-order model, suggesting a chemisorption-controlled mechanism, while intraparticle and Boyd diffusion analyses revealed a two-stage process dominated by film diffusion followed by internal pore transport. Isotherm modeling confirmed monolayer sorption behavior with a maximum capacity of 107.2 mg g<sup>-1</sup>, as best described by the Langmuir and Sips models. Thermodynamic data (Δ<i>G</i>° < 0, Δ<i>H</i>° = -71.4 kJ mol<sup>-1</sup>, Δ<i>S</i>° < 0) revealed a spontaneous, exothermic, and entropy-reducing process, consistent with strong surface complexation. Desorption studies showed >94% U(vi) recovery using dilute acids, with the Zr-GA retaining >90% efficiency over five reuse cycles. Application to real radioactive liquid waste confirmed the material's selectivity and robustness, achieving 89.7% U(vi) removal under acidic, competitive conditions. These results highlight Zr-GA as a structurally stable, regenerable, and highly effective adsorbent for uranium remediation in both laboratory and field-relevant aqueous systems.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
