Evidence map›Paper›PMID 33915815›Full record

ReviewPharmaceutics2021

Applications of Supercritical Anti-Solvent Process in Preparation of Solid Multicomponent Systems.

Guijin Liu, Junjian Li, Shiming Deng

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Viscosity Measurement of COMaterials (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Guijin LiuSchool of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China.ORCID 0000-0002-2175-3154
Junjian LiSchool of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China.
Shiming DengSchool of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China.

Funding

National Natural Science Foundation of China No. 22008046Natural Science Foundation of Hainan Province 820QN249, 2019RC076Scientific Research Foundation of Hainan University KYQD(ZR)1925
6 · The paper itself

Abstract

Solid multicomponent systems (SMS) are gaining an increasingly important role in the pharmaceutical industry, to improve the physicochemical properties of active pharmaceutical ingredients (APIs). In recent years, various processes have been employed for SMS manufacturing. Control of the particle solid-state properties, such as size, morphology, and crystal form is required to optimize the SMS formulation. By utilizing the unique and tunable properties of supercritical fluids, supercritical anti-solvent (SAS) process holds great promise for the manipulation of the solid-state properties of APIs. The SAS techniques have been developed from batch to continuous mode. Their applications in SMS preparation are summarized in this review. Many pharmaceutical co-crystals and solid dispersions have been successfully produced via the SAS process, where the solid-state properties of APIs can be well designed by controlling the operating parameters. The underlying mechanisms on the manipulation of solid-state properties are discussed, with the help of on-line monitoring and computational techniques. With continuous researching, SAS process will give a large contribution to the scalable and continuous manufacturing of desired SMS in the near future.

Indexed as

co-crystalscontinuous manufacturingmulticomponent systemssolid dispersionssolid-state propertiessupercritical anti-solvent

Identifiers

PMID33915815
PMCPMC8067079

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.