Comprehensive Metabolomic Fingerprinting Combined with Chemometrics Identifies Species- and Variety-Specific Variation of Medicinal Herbs: An Ocimum Study.
Abhishek Kumar RaiSamreen KhanAkhilesh KumarBasant Kumar DubeyRaj Kishori LalAshutosh TiwariPrabodh Kumar TrivediChristopher T ElliottRatnasekhar ChPublished in: Metabolites (2023)
Identification of plant species is a crucial process in natural products. Ocimum , often referred to as the queen of herbs, is one of the most versatile and globally used medicinal herbs for various health benefits due to it having a wide variety of pharmacological activities. Despite there being significant global demand for this medicinal herb, rapid and comprehensive metabolomic fingerprinting approaches for species- and variety-specific classification are limited. In this study, metabolomic fingerprinting of five Ocimum species ( Ocimum basilicum L., Ocimum sanctum L., Ocimum africanum Lour. , Ocimum kilimandscharicum Gurke. , and Hybrid Tulsi) and their varieties was performed using LC-MS, GC-MS, and the rapid fingerprinting approach FT-NIR combined with chemometrics. The aim was to distinguish the species- and variety-specific variation with a view toward developing a quality assessment of Ocimum species. Discrimination of species and varieties was achieved using principal component analysis (PCA), partial least squares discriminate analysis (PLS-DA), data-driven soft independent modelling of class analogy (DD-SIMCA), random forest, and K-nearest neighbours with specificity of 98% and sensitivity of 99%. Phenolics and flavonoids were found to be major contributing markers for species-specific variation. The present study established comprehensive metabolomic fingerprinting consisting of rapid screening and confirmatory approaches as a highly efficient means to identify the species and variety of Ocimum, being able to be applied for the quality assessment of other natural medicinal herbs.
Keyphrases
- highly efficient
- healthcare
- genetic diversity
- public health
- mental health
- machine learning
- climate change
- high resolution
- dna methylation
- gene expression
- genome wide
- photodynamic therapy
- risk assessment
- drug delivery
- loop mediated isothermal amplification
- health information
- data analysis
- sensitive detection
- neural network