The characteristic spectrum of 46 different aromatic and medicinal plants, represented in a spectral library can be used in raw material identification.
Qualitative and quantitative analysis of active constituents in medicinal plants
A cost effective solution for the nutraceutical industry
Near-infrared (NIR) spectroscopy is a technique accepted in the United States, European and Japanese Pharmacopeia and has been successfully used for ingredient identification and quantification in the pharmaceutical and nutraceutical industry for many years.
NIR technology is rapid, non-destructive and requires no sample preparation, consumables or solvents.
Using NIR saves money and hands-on analysis time, and increases the facilities testing capacity.
Identify 46 different aromatic and medicinal plants – fast
Metrohm Vis-NIR spectroscopy is a cost effective means of assessing and quantifying the constituents of various nutraceutical plants. Metrohm Vis-NIR spectroscopy can identify 45 different aromatic and medicinal plants (e.g. Organicum majoricum and Tilia cordata). The characteristic spectrum of each plant, represented in a spectral library, can be used in raw material identification. In contrast to microscopic identification – which takes several hours and requires trained chemists – the presented Metrohm Vis-NIR method is extremely fast and can be performed by unskilled operators.
Metrohm NIRS DS2500 analyser (reflection measurement), was used to collect the spectral data of multiple samples of 46 different medical and aromatic plants. Sample heterogeneity was handled using a rotating sample cup, which allows averaging of 8 single scans. Metrohm NIRS is fully compliant with FDA 21 CFR Part 11
In Vision (Metrohm chemometrical software), using the algorithm of residual variance with a threshold of 0.9, a library for the following substances was developed. The entire wavelength range, covering Vis- and NIR range (400 – 2500 nm), was used and the data were pretreated using a 2nd derivative combined with a Standard Normal Variate (SNV). Cross-validation was applied to verify the performance of the derived library.
The characteristic spectrum of 45 different aromatic and medicinal plants, represented in a spectral library can be used in raw material identification.
