The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Advances and New Directions in Crystallization Control
Abstract
The academic literature on and industrial practice of control of solution crystallization processes have seen major advances in the past 15 years that have been enabled by progress in in-situ real-time sensor technologies and driven primarily by needs in the pharmaceutical industry for improved and more consistent quality of drug crystals. These advances include the accurate measurement of solution concentrations and crystal characteristics as well as the first-principles modeling and robust model-based and model-free feedback control of crystal size and polymorphic identity. Research opportunities are described in model-free controller design, new crystallizer designs with enhanced control of crystal size distribution, strategies for the robust control of crystal shape, and interconnected crystallization systems for multicomponent crystallization.
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
Some problems in particle technology
Hulburt, H. M., & Katz, S. (1964) · Chemical Engineering Science · doi:10.1016/0009-2509(64)85047-8 · Cited by 1,670
Cited by
Opportunities and challenges of real-time release testing in biopharmaceutical manufacturing
Jiang, M., Severson, K. A., Love, J. C., Madden, H., Swann, P., Zang, L., & Braatz, R. D. (2017) · Biotechnology and Bioengineering · doi:10.1002/bit.26383 · Cited by 118
Self-citationSimone, E., Zhang, W., & Nagy, Z. K. (2016) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.4743 · Cited by 24
Self-citation
Metadata
- Authors
- Nagy, Z. K., & Braatz, R. D.
- Venue
- Annual Review of Chemical and Biomolecular Engineering
- Publisher
- Annual Reviews
- Published
- 2012-07-15
- Volume
- 3
- Issue
- 1
- Pages
- 55-75
- ISSN
- 1947-5438 (ISSN-L)
- 1947-5446
- OpenAlex
- W2168614130
- Cited by
- 332
- References
- 1
- FWCI
- 0.87
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Advances and New Directions in Crystallization Control. https://app.cochat.ai/papers/10.1146/annurev-chembioeng-062011-081043
- The paper
- Nagy, Z. K., & Braatz, R. D. (2012). Advances and New Directions in Crystallization Control. Annual Review of Chemical and Biomolecular Engineering. https://doi.org/10.1146/annurev-chembioeng-062011-081043
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.