Using Mid-Infrared Spectroscopic Fingerprinting, Multivariate Analysis And Machine Learning To Differentiate Traditional Herbal Medicine
Traditional herbal medicine is an important part of the global health system with persistent issues like adulteration and misidentification. While current global standards employ chromatographic identification to combat this issue, there are some disadvantages with such methods. This study looked at...
Saved in:
Main Author: | Yeap, Zhao Qin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.usm.my/60131/1/24%20Pages%20from%20YEAP%20ZHAO%20QIN.pdf http://eprints.usm.my/60131/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spectroscopic And Chromatographic Approach For The Chemical Fingerprinting Of Gelsemium Elegans Via Hptlc, Lc-Ms, Ft-Ir And Nmr
by: Ng, Chiew Hoong
Published: (2019) -
BioactiveMarkers Based Pharmacokinetic Evaluation of
Extracts of a TraditionalMedicinal Plant, Piper sarmentosum
by: Hussain, Khalid, et al.
Published: (2011) -
Study On Traditional Medicine-modern Drug
Interaction And Its Molecular Mechanism
Elucidation In Rat Liver
by: A. Taher, Yousef
Published: (1998) -
Screening And Development Of Herbal Based Anti-Ageing Product
by: Ali, Insathe Mohamed
Published: (2021) -
Preclinical evidence of Malay traditional herbal
supplement for diabetes
by: Abdul Majid, Fadzilah Adibah, et al.
Published: (2016)