Mechanical Engineering MS Project Presentation by Mr. Devharsh Singh Thakur
When: Friday,
August 23, 2019
1:30 PM
-
3:30 PM
Where: Textiles Building 101E
Description: Mechanical Engineering MS Project Presentation by Mr. Devharsh Singh Thakur
DATE:
August 23, 2019
TIME:
1:30 p.m. 3:30 p.m.
LOCATION:
Textile, 101E
TOPIC:
Multivariate Statistical Analysis of a Drug Using Its Impurity Profiles
ABSTRACT:
A case study from the chemical and pharmaceutical industry is used to show the value of the application of the multivariate kernel density control chart to the study of the consistency of the impurity profiles of drug substances. The impurity profile of a drug substance is one of the most important quality characteristics, is almost always multivariate in nature, and is complicated by the relationships among the impurity levels. This prohibits examining each impurity by univariate statistical procedures. Several of the possible benefits of applying these multivariate statistical procedures to the manufacture of drug substances are illustrated through this project.
ADVISOR:
-Dr. Wenzhen Huang, Professor
Mechanical Engineering Department, UMass Dartmouth
COMMITTEE MEMBERS:
-Dr.Bharatendra Rai, Associate Professor
Charlton College Of Business Department, UMass Dartmouth
-Dr. Jun Li, Assistant Professor
Mechanical Engineering Department, UMass Dartmouth
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Dr. Wenzhen Huang (whuang@umassd.edu), 508-910-6568).
Thank you,
Sue Cunha, Administrative Assistant
Mechanical Engineering Department
scunha@umassd.edu
508-999-8492
DATE:
August 23, 2019
TIME:
1:30 p.m. 3:30 p.m.
LOCATION:
Textile, 101E
TOPIC:
Multivariate Statistical Analysis of a Drug Using Its Impurity Profiles
ABSTRACT:
A case study from the chemical and pharmaceutical industry is used to show the value of the application of the multivariate kernel density control chart to the study of the consistency of the impurity profiles of drug substances. The impurity profile of a drug substance is one of the most important quality characteristics, is almost always multivariate in nature, and is complicated by the relationships among the impurity levels. This prohibits examining each impurity by univariate statistical procedures. Several of the possible benefits of applying these multivariate statistical procedures to the manufacture of drug substances are illustrated through this project.
ADVISOR:
-Dr. Wenzhen Huang, Professor
Mechanical Engineering Department, UMass Dartmouth
COMMITTEE MEMBERS:
-Dr.Bharatendra Rai, Associate Professor
Charlton College Of Business Department, UMass Dartmouth
-Dr. Jun Li, Assistant Professor
Mechanical Engineering Department, UMass Dartmouth
Open to the public. All MNE students are encouraged to attend.
For more information, please contact Dr. Wenzhen Huang (whuang@umassd.edu), 508-910-6568).
Thank you,
Sue Cunha, Administrative Assistant
Mechanical Engineering Department
scunha@umassd.edu
508-999-8492
Topical Areas: Faculty, General Public, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Lectures and Seminars