Could multivariate statistics exploit HPTLC and NMR data to reveal bioactive compounds? The case of Paeonia mascula

Author:

Boka Vasiliki-Ioanna,Stathopoulou Konstantina,Benaki Dimitra,Gikas Evangelos,Aligiannis Nektarios,Mikros Emmanuel,Skaltsounis Alexios-Leandros

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Biochemistry,Biotechnology

Reference20 articles.

1. Heterocovariance based metabolomics as a powerful tool accelerating bioactive natural product identification;Aligiannis;ChemistrySelect,2016

2. Antibacterial activities of gallic acid and gallic acid methyl ester on methicillin-resistant Staphylococcus aureus;Al-Zahrani;J. Am. Sci.,2012

3. Anti-tyrosinase, antioxidant and UV-protective agents obtained from natural sources: a high-throughput bioguided approach;Chaita;Planta Med.,2014

4. Integrated HPTLC-based methodology for the tracing of bioactive compounds in herbal extracts employing multivariate chemometrics. A case study on Morus alba;Chaita;Phytochem. Anal.,2017

5. An updated review of tyrosinase inhibitors;Chang;IJMS,2009

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