Abstract
A low-cost, highly efficient and green approach (free of ammonia) to enrich Nd from other rare-earth (RE) elements was reported by using a mixed Cu-RE metal-organic framework whose structure can selectively crystallize heavier RE elements during a one-pot reaction with isonicotnic acid, CuI and mixed RE sources, and release heavier RE elements via oxidation of the cuprous ions under ambient conditions.
Original language | English (US) |
---|---|
Pages (from-to) | 1250-1254 |
Number of pages | 5 |
Journal | Green Chemistry |
Volume | 19 |
Issue number | 5 |
DOIs | |
State | Published - 2017 |
ASJC Scopus subject areas
- Environmental Chemistry
- Pollution
Fingerprint
Dive into the research topics of 'Copper(i)/(II)-redox triggered efficient and green rare-earth separation using a heterometallic metal-organic framework'. Together they form a unique fingerprint.Datasets
-
CCDC 1430392: Experimental Crystal Structure Determination
Hu, Y.-Q. (Contributor), Zhang, T. (Contributor), Li, M.-Q. (Contributor), Wang, Y. (Contributor), Zheng, Z. (Contributor) & Zheng, Y.-Z. (Contributor), Cambridge Crystallographic Data Centre, 2017
DOI: 10.5517/ccdc.csd.cc1k0fpp, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1k0fpp&sid=DataCite
Dataset
-
CCDC 1430395: Experimental Crystal Structure Determination
Hu, Y.-Q. (Contributor), Zhang, T. (Contributor), Li, M.-Q. (Contributor), Wang, Y. (Contributor), Zheng, Z. (Contributor) & Zheng, Y.-Z. (Contributor), Cambridge Crystallographic Data Centre, 2017
DOI: 10.5517/ccdc.csd.cc1k0fss, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1k0fss&sid=DataCite
Dataset
-
CCDC 1430397: Experimental Crystal Structure Determination
Hu, Y.-Q. (Creator), Zhang, T. (Creator), Li, M.-Q. (Creator), Wang, Y. (Creator), Zheng, Z. (Creator) & Zheng, Y.-Z. (Creator), Cambridge Crystallographic Data Centre, 2017
DOI: 10.5517/ccdc.csd.cc1k0fvv, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1k0fvv&sid=DataCite
Dataset