Antibacterial Screening, Biochemometric and Bioautographic Evaluation of the Non-Volatile Bioactive Components of Three Indigenous South African <i>Salvia</i> Species

<i>Salvia africana-lutea</i> L., <i>S. lanceolata</i> L., and <i>S. chamelaeagnea</i> L. are used in South Africa as traditional medicines to treat infections. This paper describes an in-depth investigation into their antibacterial activities to identify bioactive...

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Main Authors: Margaux Lim Ah Tock (Author), Sandra Combrinck (Author), Guy Kamatou (Author), Weiyang Chen (Author), Sandy Van Vuuren (Author), Alvaro Viljoen (Author)
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Published: MDPI AG, 2022-07-01T00:00:00Z.
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001 doaj_4c91c7f3d2a5455cbb90e6c7a8d17ff8
042 |a dc 
100 1 0 |a Margaux Lim Ah Tock  |e author 
700 1 0 |a Sandra Combrinck  |e author 
700 1 0 |a Guy Kamatou  |e author 
700 1 0 |a Weiyang Chen  |e author 
700 1 0 |a Sandy Van Vuuren  |e author 
700 1 0 |a Alvaro Viljoen  |e author 
245 0 0 |a Antibacterial Screening, Biochemometric and Bioautographic Evaluation of the Non-Volatile Bioactive Components of Three Indigenous South African <i>Salvia</i> Species 
260 |b MDPI AG,   |c 2022-07-01T00:00:00Z. 
500 |a 10.3390/antibiotics11070901 
500 |a 2079-6382 
520 |a <i>Salvia africana-lutea</i> L., <i>S. lanceolata</i> L., and <i>S. chamelaeagnea</i> L. are used in South Africa as traditional medicines to treat infections. This paper describes an in-depth investigation into their antibacterial activities to identify bioactive compounds. Methanol extracts from 81 samples were screened against seven bacterial pathogens, using the microdilution assay. Biochemometric models were constructed using data derived from minimum inhibitory concentration (MIC) and ultra-performance liquid chromatography-mass spectrometry data. Active molecules in selected extracts were tentatively identified using high-performance thin layer chromatography (HPTLC), combined with bioautography, and finally, by analysis of active zone eluates by mass spectrometry (MS) via a dedicated interface. <i>Salvia chamelaeagnea</i> displayed notable activity towards all seven pathogens, and the activity, reflected by MICs, was superior to that of the other two species, as confirmed through ANOVA. Biochemometric models highlighted potentially bioactive compounds, including rosmanol methyl ether, epiisorosmanol methyl ether and carnosic acid. Bioautography assays revealed inhibition zones against <i>A. baumannii</i>, an increasingly multidrug-resistant pathogen. Mass spectral data of the eluted zones correlated to those revealed through biochemometric analysis. The study demonstrates the application of a biochemometric approach, bioautography, and direct MS analysis as useful tools for the rapid identification of bioactive constituents in plant extracts. 
546 |a EN 
690 |a antibacterial activity 
690 |a biochemometric analysis 
690 |a bioautography 
690 |a high performance thin layer chromatography-mass spectrometry 
690 |a <i>Salvia africana-lutea</i> 
690 |a <i>S. lanceolata</i> 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Antibiotics, Vol 11, Iss 7, p 901 (2022) 
787 0 |n https://www.mdpi.com/2079-6382/11/7/901 
787 0 |n https://doaj.org/toc/2079-6382 
856 4 1 |u https://doaj.org/article/4c91c7f3d2a5455cbb90e6c7a8d17ff8  |z Connect to this object online.