The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Resorcinol-Based Deep Eutectic Solvents as Both Carbonaceous Precursors and Templating Agents in the Synthesis of Hierarchical Porous Carbon Monoliths
Abstract
Deep eutectic solvents are a new class of ionic liquids obtained via the complexion of quaternary ammonium salts with hydrogen-bond donors (such as acids, amines, and alcohols, among others). The charge delocalization that occurs through hydrogen bonding between the halide anion with the hydrogen-donor moiety is responsible for the decrease in the freezing point of the mixture, relative to the melting points of the individual components. We have recently reported on the use of deep eutectic solvents as suitable solvents, to carry out the polycondensation of resorcinol−formaldehyde. [ Chem. Mater. 2010, 22, 2711−2719.] Herein, we describe the synthesis of deep eutectic solvents (DESs) based on resorcinol, the use of which as both carbonaceous precursors and structure-directing agents allowed the preparation of hierarchical porous (bimodal, with micropores and mesopores) carbon monoliths via formaldehyde polycondensation and subsequent carbonization. The performance of resorcinol-based DESs as carbonaceous precursors was remarkable, with carbon conversions of ∼80%. Moreover, the use of DESs as structure-directing agents resulted in the achievement of hierarchical porous carbon monoliths with pore surface areas up to 600 m 2 /g and narrow mesopore diameter distributions. The mechanism governing the formation of mesopores was based on a spinodal-decomposition-like-process via resorcinol polycondensation and subsequent segregation of the resorcinol counterpart that is forming the DESs. Thus, the use of resorcinol-based DESs that have different counterparts (e.g., either choline chloride or a mixture of choline chloride and urea) allowed the preparation of hierarchical carbons with tailored mesopore diameters of ca. 23 nm and ca. 10 nm.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Abbott, A. P., Capper, G., Davies, D. L., Rasheed, R. K., & Tambyrajah, V. (2003) · Chemical Communications · doi:10.1039/b210714g · Cited by 5,738
Cited by
Deep Eutectic Solvents (DESs) and Their Applications
Smith, E. L., Abbott, A. P., & Ryder, K. S. (2014) · Chemical Reviews · doi:10.1021/cr300162p · Cited by 7,378
Deep eutectic solvents: syntheses, properties and applications
Zhang, Q., De Oliveira Vigier, K., Royer, S., & Jérôme, F. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35178a · Cited by 4,899
Carbon materials for chemical capacitive energy storage
Zhai, Y., Dou, Y., Zhao, D., Fulvio, P. F., Mayes, R. T., & Dai, S. (2011) · Advanced Materials · doi:10.1002/adma.201100984 · Cited by 2,964
Low-transition-temperature mixtures (LTTMs): A new generation of designer solvents
Francisco, M., van den Bruinhorst, A., & Kroon, M. C. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201207548 · Cited by 1,378
Ionic liquids and derived materials for lithium and sodium batteries
Yang, Q., Zhang, Z., Sun, X.-G., Hu, Y.-S., Xing, H., & Dai, S. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00464h · Cited by 601
Recent developments in deep eutectic solvents in chemical sciences
Tang, B., & Row, K. H. (2013) · Monatshefte für Chemie - Chemical Monthly · doi:10.1007/s00706-013-1050-3 · Cited by 538
Tang, B., Zhang, H., & Row, K. H. (2015) · Journal of Separation Science · doi:10.1002/jssc.201401347 · Cited by 522
Ge, X., Gu, C., Wang, X., & Tu, J. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta01659j · Cited by 372
Pena-Pereira, F., Kloskowski, A., & Namieśnik, J. (2015) · Green Chemistry · doi:10.1039/c5gc00611b · Cited by 257
Tailoring the textural properties of hierarchical porous carbons using deep eutectic solvents
López-Salas, N., Carriazo, D., Gutiérrez, M. C., Ferrer, M. L., Ania, C. O., Rubio, F., Tamayo, A., Fierro, J. L. G., & del Monte, F. (2016) · Journal of Materials Chemistry A · doi:10.1039/c6ta02704k · Cited by 46
Self-citationChen, L., Deng, J., Hong, S., & Lian, H. (2018) · Journal of Sol-Gel Science and Technology · doi:10.1007/s10971-018-4660-8 · Cited by 14
Metadata
- Authors
- Carriazo, D., Gutiérrez, M. C., Ferrer, M. L., & del Monte, F.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-10-28
- Volume
- 22
- Issue
- 22
- Pages
- 6146-6152
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2318175080
- Cited by
- 165
- References
- 1
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.