Article(id=1236696516623134768, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1236696515473895464, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=1655568000000, acceptedDateStr=2022-06-19, onlineDate=1772781026273, onlineDateStr=2026-03-06, pubDate=1673712000000, pubDateStr=2023-01-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772781026273, onlineIssueDateStr=2026-03-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772781026273, creator=13701087609, updateTime=1772781026273, updator=13701087609, issue=Issue{id=1236696515473895464, tenantId=1146029695717560320, journalId=1235980733773295621, year='2023', volume='32', issue='1', pageStart='1', pageEnd='109', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772781025999, creator=13701087609, updateTime=1772782685740, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236703476982542786, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1236696515473895464, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236703476982542787, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1236696515473895464, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=65, endPage=71, ext={EN=ArticleExt(id=1236696516837044280, articleId=1236696516623134768, tenantId=1146029695717560320, journalId=1235980733773295621, language=EN, title=Analysis on the factors affecting the whiteness about pharmaceutical excipient talc, columnId=null, journalTitle=Chinese Journal of New Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Objective: To study the factors affecting the whiteness of talc and the relationship between them. Methods: The content of metal elements, particle size and particle size distribution, which affect the whiteness of talc, were measured, and the main factors were speculated by principal component analysis (PCA). The linear regression model was established by SPSS. Results: Using PCA analysis, it is speculated that the main factors are the content of impurity metal calcium and particle size D90. The established linear regression model is: Whiteness=96.457+42.770×Calcium% -0.422×D90, with R2 of 0.944 and Adjusted R2 of 0.934 (P<0.05). The model was successfully constructed. Conclusion: The whiteness of pharmaceutical excipient talc is affected by its impurity metal calcium content and particle size D90. The established whiteness correlation regression model provides a theoretical basis for whiteness as a visual quantity to control the particle size and impurity metal calcium content in talc production process and preparation. This study also provides a new idea for the study of the characteristics and quality attributes of pharmaceutical excipient talc.

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目的:研究影响药用辅料滑石粉白度的因素及其之间的关系分析。方法:首先对可能影响药用辅料滑石粉白度的因素(金属元素含量、粒度和粒度分布)进行测定,随后对测定结果进行主成分分析(PCA)推测主要因素,最后通过SPSS建立线性回归模型进行验证。结果:经PCA分析推测主要因素为杂质金属钙含量以及粒度D90;建立的线性回归模型为:白度=96.457+42.770×钙%-0.422×D90。其中R2为0.944,调整R2为0.934,P<0.05,模型构建有意义。结论:药用辅料滑石粉的白度由自身的杂质金属钙含量与粒度D90共同影响,建立白度相关回归模型,为白度作为可视化量值用来控制滑石粉生产工艺与制剂中的粒度及杂质金属钙含量提供理论依据,也为药用辅料滑石粉的特性质量属性研究提供一种新思路。

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肖新月,女,研究员,研究方向:药用辅料质量控制。E-mail:
孙晶波,女,副教授,研究方向:药物化学。E-mail:
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共同第一作者

王会娟,女,硕士研究生,研究方向:药物化学和药用辅料质量控制。E-mail:

杨锐,男,副研究员,研究方向:药用辅料质量控制。E-mail:

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2National Institutes for Food and Drug Control, Beijing 100050, China
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2中国食品药品检定研究院,北京 100050
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王会娟,女,硕士研究生,研究方向:药物化学和药用辅料质量控制。E-mail:

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杨锐,男,副研究员,研究方向:药用辅料质量控制。E-mail:

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杨锐,男,副研究员,研究方向:药用辅料质量控制。E-mail:

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影响药用辅料滑石粉白度的因素及关系分析
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王会娟 1, 2, 3 , 杨锐 1, 2 , 王晓锋 1, 2 , 肖新月 1, 2 , 孙晶波 3
中国新药杂志 | 实验研究 2023,32(1): 65-71
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中国新药杂志 | 实验研究 2023, 32(1): 65-71
影响药用辅料滑石粉白度的因素及关系分析
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王会娟1, 2, 3 , 杨锐1, 2 , 王晓锋1, 2, 肖新月1, 2 , 孙晶波3
作者信息
  • 1国家药品监督管理局药用辅料质量研究与评价重点实验室,北京 100050
  • 2中国食品药品检定研究院,北京 100050
  • 3北华大学药学院,吉林 132013
  • 王会娟,女,硕士研究生,研究方向:药物化学和药用辅料质量控制。E-mail:

    杨锐,男,副研究员,研究方向:药用辅料质量控制。E-mail:

通讯作者:

肖新月,女,研究员,研究方向:药用辅料质量控制。E-mail:
孙晶波,女,副教授,研究方向:药物化学。E-mail:
Analysis on the factors affecting the whiteness about pharmaceutical excipient talc
Hui-juan WANG1, 2, 3 , Rui YANG1, 2 , Xiao-feng WANG1, 2, Xin-yue XIAO1, 2 , Jing-bo SUN3
Affiliations
  • 1NMPA Key Laboratory for Quality Research and Evaluation of Pharmaceutical Excipients, Beijing 100050, China
  • 2National Institutes for Food and Drug Control, Beijing 100050, China
  • 3Pharmaceutical College of Beihua University, Jilin 132013, China
出版时间: 2023-01-15
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目的:研究影响药用辅料滑石粉白度的因素及其之间的关系分析。方法:首先对可能影响药用辅料滑石粉白度的因素(金属元素含量、粒度和粒度分布)进行测定,随后对测定结果进行主成分分析(PCA)推测主要因素,最后通过SPSS建立线性回归模型进行验证。结果:经PCA分析推测主要因素为杂质金属钙含量以及粒度D90;建立的线性回归模型为:白度=96.457+42.770×钙%-0.422×D90。其中R2为0.944,调整R2为0.934,P<0.05,模型构建有意义。结论:药用辅料滑石粉的白度由自身的杂质金属钙含量与粒度D90共同影响,建立白度相关回归模型,为白度作为可视化量值用来控制滑石粉生产工艺与制剂中的粒度及杂质金属钙含量提供理论依据,也为药用辅料滑石粉的特性质量属性研究提供一种新思路。

药用辅料  /  滑石粉  /  白度  /  主成分分析  /  粒度  /  金属元素  /  线性回归

Objective: To study the factors affecting the whiteness of talc and the relationship between them. Methods: The content of metal elements, particle size and particle size distribution, which affect the whiteness of talc, were measured, and the main factors were speculated by principal component analysis (PCA). The linear regression model was established by SPSS. Results: Using PCA analysis, it is speculated that the main factors are the content of impurity metal calcium and particle size D90. The established linear regression model is: Whiteness=96.457+42.770×Calcium% -0.422×D90, with R2 of 0.944 and Adjusted R2 of 0.934 (P<0.05). The model was successfully constructed. Conclusion: The whiteness of pharmaceutical excipient talc is affected by its impurity metal calcium content and particle size D90. The established whiteness correlation regression model provides a theoretical basis for whiteness as a visual quantity to control the particle size and impurity metal calcium content in talc production process and preparation. This study also provides a new idea for the study of the characteristics and quality attributes of pharmaceutical excipient talc.

pharmaceutical excipients  /  talc  /  whiteness  /  principal component analysis  /  particle size  /  metal elements  /  linear regression
王会娟, 杨锐, 王晓锋, 肖新月, 孙晶波. 影响药用辅料滑石粉白度的因素及关系分析. 中国新药杂志, 2023 , 32 (1) : 65 -71 .
Hui-juan WANG, Rui YANG, Xiao-feng WANG, Xin-yue XIAO, Jing-bo SUN. Analysis on the factors affecting the whiteness about pharmaceutical excipient talc[J]. Chinese Journal of New Drugs, 2023 , 32 (1) : 65 -71 .
2023年第32卷第1期
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  • 首发时间:2026-03-06
  • 出版时间:2023-01-15
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  • 录用日期:2022-06-19
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    1国家药品监督管理局药用辅料质量研究与评价重点实验室,北京 100050
    2中国食品药品检定研究院,北京 100050
    3北华大学药学院,吉林 132013

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肖新月,女,研究员,研究方向:药用辅料质量控制。E-mail:
孙晶波,女,副教授,研究方向:药物化学。E-mail:
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2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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