IDEAS home Printed from https://ideas.repec.org/a/hin/complx/9992022.html
   My bibliography  Save this article

Study on Preparation Technology and Physical Fingerprint of Chuilian Jianpi Granules Based on QbD

Author

Listed:
  • Guangjiao Zhou
  • Xiao-Wei Li
  • Jin-Cai Li
  • Xue-Hua Feng
  • Ali Akgül

Abstract

Objective. To optimize the preparation formula and technology of Chuilian Jianpi granules. Methods. The formulation and preparation process were optimized by single factor experiment and response surface analysis, with the molding rate, hygroscopicity, and fluidity of particles as the comprehensive evaluation indexes, and the comprehensive score as the response value according to different weights. To further evaluate the stability and feasibility of the preparation formulation and technology, the physical fingerprint of the granules was constructed by seven indicators including particle tap density, bulk density, hygroscopicity, water content, angle of repose, Hausner ratio, and relative homogeneity index. Results. The optimum formula conditions of Chuilian Jianpi granules were as follows: the dosage ratio of drug to adjuvant was 1 : 0.8, lactose:mannitol = 1.5 : 1, and the amount of wetting agent (90% ethanol) was 25% of the granules, with high-speed stirring granulation. The similarity of the physical fingerprints of the 10 batches of Chuilian Jianpi granules was high, which is above 98.5%. Conclusion. The optimized preparation technology was stable and feasible, which can provide reference for the development of Chuilian Jianpi granules and other Chinese medicine granules.

Suggested Citation

  • Guangjiao Zhou & Xiao-Wei Li & Jin-Cai Li & Xue-Hua Feng & Ali Akgül, 2021. "Study on Preparation Technology and Physical Fingerprint of Chuilian Jianpi Granules Based on QbD," Complexity, Hindawi, vol. 2021, pages 1-9, September.
  • Handle: RePEc:hin:complx:9992022
    DOI: 10.1155/2021/9992022
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/9992022.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/9992022.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/9992022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:9992022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.