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Characterizing flowability of microcrystalline cellulose and its visualizing the correlation of the performance parameters
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Ling-fei YU1, Rong-feng HU1, 2, 3, *, Dan SU4, Wen-you FANG1, Bin WANG1, Song GAO1
Acta Pharmaceutica Sinica | 2018, 53(5) : 806 - 811
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Acta Pharmaceutica Sinica | 2018, 53(5): 806-811
ORIGINAL ARTICLES·Pharmaceutics
Characterizing flowability of microcrystalline cellulose and its visualizing the correlation of the performance parameters
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Ling-fei YU1, Rong-feng HU1, 2, 3, *, Dan SU4, Wen-you FANG1, Bin WANG1, Song GAO1
Affiliations
  • 1. Key Laboratory of Xin'an Medical, Ministry of Education, Anhui University of Chinese Medicine, Hefei 230038, China
  • 2. Anhui "115" Xin'an Pharmaceutical R & D Innovation Team, Anhui University of Chinese Medicine, Hefei 230038, China
  • 3. Key Laboratory of Anhui Provincial TCM Research and Development, Anhui University of Chinese Medicine, Hefei 230038, China
  • 4. Provincial Hospital of Anhui Medical University, Hefei 230001, China
Published: 2018-05-12 doi: 10.16438/j.0513-4870.2017-1252
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In this study, multivariate statistical analysis was applied to characterize the flowability of different types of microcrystalline cellulose (MCC), and the visualization of R language was used to explore the intrinsic correlation on its performances. To verify the operability of multivariate statistical analysis, we compared the results of the conventional methods such as repose angle method, Hausner ratio method, Carr's index method and the parameter a of Kawakita equation to determine whether there are significant differences between the conventional ones and multivariate statistical analysis. Moreover, the fillibility and compressibility were characterized by parameters 1/b of Kawakita equation and the means of pressure-tensile strength and compressibility curve method, respectively. The data was analyzed through R language for visualizing the correlation among the performance parameters of MCC. The flowability of the series of microcrystalline cellulose PH (MCCPH) were superior to the series of microcrystalline cellulose WJ (MCCWJ), the compressibility of MCCPH-302 was optimum, and the flowability and fallibility of MCCPH-102 were better than others. The results of conventional methods were consistent with multivariate statistical analysis. The fillibility was positively correlated with flowability, both negatively correlated with compressibility by analyzing correlation coefficient diagram, which was statistically significant (P < 0.01). It is reasonable that adopting multivariate statistical analysis to character the flowability of powders, which is more objective than the traditional approach. The correlation visualization of performance parameters of powders provides convenience for screening preparation material via the visualization of R language.

microcrystalline cellulose  /  flowability  /  multivariate statistical analysis  /  principal component analysis  /  visualization analysis
Ling-fei YU, Rong-feng HU, Dan SU, Wen-you FANG, Bin WANG, Song GAO. Characterizing flowability of microcrystalline cellulose and its visualizing the correlation of the performance parameters[J]. Acta Pharmaceutica Sinica, 2018 , 53 (5) : 806 -811 . DOI: 10.16438/j.0513-4870.2017-1252
Year 2018 volume 53 Issue 5
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Article Info
doi: 10.16438/j.0513-4870.2017-1252
  • Receive Date:2017-12-14
  • Online Date:2026-01-15
  • Published:2018-05-12
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History
  • Received:2017-12-14
  • Revised:2018-02-11
Funding
Affiliations
    1. Key Laboratory of Xin'an Medical, Ministry of Education, Anhui University of Chinese Medicine, Hefei 230038, China
    2. Anhui "115" Xin'an Pharmaceutical R & D Innovation Team, Anhui University of Chinese Medicine, Hefei 230038, China
    3. Key Laboratory of Anhui Provincial TCM Research and Development, Anhui University of Chinese Medicine, Hefei 230038, China
    4. Provincial Hospital of Anhui Medical University, Hefei 230001, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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