Application of FT-MIR Spectroscopy for Fingerprinting Bioactive Molecules of Plant Ingredients and a New Formula with Antimicrobial Effect

Abstract. The present study aims to fingerprint 7 aromatic herbs (basil, thyme, oregano, rosemary, sage, clove, cinnamon)  and an original derived formula (EPC), in order to find specific biomarkers by Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy. The studied aromatic herbs are well known for their antioxidant, antimicrobial and anticarcinogenic effect. After comparison of each plant FT-MIR spectra results concluded that these herbs are rich in phenolic compounds like flavonols, flavanols, phenolic acids, volatile phenols. The fingerprint region was set at 1400-1760 cm-1. FTIR spectroscopy is recommended as a reliable tool to evaluate the quality and authenticity of plant formulas

Application of FT-IR Spectroscopy for Fingerprinting Bioactive Molecules in a Nutraceutical PROMEN, comparatively with Plantingredients

The aim of this study is to characterize and identify the main biomarkers of food supplement PROMEN by analysis of plant ingredients comparatively with the final product. Alcoholic extracts of plants were prepared at 15% plant content and purified fractions were analyzed by FTIR screening. The fingerprint region (1000 to 1500 cm-1) indicated the presence of specific functional groups to identify and monitor the phenolic derivatives

Fingerprinting Food Supplements and Their Botanical Ingredients by Coupled UV/Vis/FTIR Spectrometry

Medicinal plants are used as ingredients for a large variety of herbal supplements. Their quality and safety versus efficacy, according to present legal requirements, need to meet the minimum quality criteria to support their use. Specific biomarkers to evaluate and screen their authenticity are phenolic derivatives, phtosterols, lipids or alkaloids. We report here the data obtained  for  two herbal food supplements (A and B) obtained from  different mixtures of plants: Taraxacum officinalis, Cynara scolimus Silybum marianum as ingredients for product A)  and Hypericum perforatum, Chelidonium majus and Lycopodium clavatum as ingredients for product B). The combination of UV-Vis and FTIR spectrometry allowed a specific fingerprint of biomarkers in individual plants and derived supplements ( A and B), by discriminating the specific areas and peaks of individual plants and  mixtures, the significant differences between the methanolic and water extracts. The data were compared using chemometry ( PCA and Cluster analysis). Using Vis spectrometry combined with FTIR  peak intensities at 1732 cm-1 and calibration with gallic acid,  the total phenolics concentrations ranged from 5.31 to 9.58 mg gallic acid eq/ml methanol, with a positive and significant correlation between the two methods (R2= 0.979). The phenolics’ concentration were 2.5 to 4 times lower in water extracts comparing with methanol extracts of  products A and B.  Finally, we assume that herbal supplements can be adequately characterized for their quality and safety by combined UV-Vis spectrometry/FTIR spectrometry, with good, fast and cheap informations about the main biomarkers of authenticity

Romanian Wines Quality and Authenticity Using FT-MIR Spectroscopy Coupled with Multivariate Data Analysis

Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) combined with multivariate data analysis have been applied for the discrimination of 15 different Romanian wines (white, rosé and red wines), obtained from different origin-denominated cultivars. Principal component analysis and hierarchical cluster analysis was performed using different regions of FT-MIR spectra for all wines. The general fingerprint of wines was splitted in four characteristic regions, corresponding to phenolic derivatives, carbohydrates, amino acids and organic acids, which confer the wines quality and authenticity. By qualitative and quantitative evaluation of each component category, it was possible to discriminate each wine category, from red, to rosé and white colours, to dry, half-dry and half-sweet flavours. The multivariate data analysis based on absorption peaks from FT-MIR spectra demonstrated a very good, significant clustering of samples, based on the four main components: phenolics, carbohydrates, amino acids and organic acids. Therefore, the ATR-FT-MIR analysis proved to be a very fast, cheap and efficient tool to evaluate the quality and authenticity of wines, and to discriminate each wine category, based on their colour and sweetness, as consequence of their biological (cultivar) specificity