Analysis of Flavonoid Compounds by Terahertz Spectroscopy Combined with Chemometrics.

Abstract

Flavonoids are a large class of polyphenols widely distributed in plants in the free form or as glycosides, and they have antioxidation, antibacterial, antitumor growth, and other pharmacological effects. As an important active component of traditional Chinese medicine, they have high medicinal value and development prospects. In this work, the biomolecular properties of 10 common flavonoids, including baicalein, baicalin, apigenin, quercetin, naringenin, hesperetin, daidzein, genistein, puerarin, and gastrodin, are studied by terahertz time-domain spectroscopy (THz-TDS) in the range of 0.2–2.5 THz. The results reveal that these flavonoids have different characteristic absorption peaks in the terahertz band. Moreover, the terahertz absorption characteristics of samples in the temperature range of 78–320 K are studied. The results show that the characteristic absorption peaks gradually increase with the decrease in temperature, and the frequency position of the absorption peak has a slight blue shift. Furthermore, qualitative identification and quantitative analysis of flavonoids are carried out by terahertz spectra combined with chemometrics. Specifically, a series of mixtures of three flavonoids with similar molecular structures under various concentrations are analyzed. The partial least-squares regression (PLSR) model and the artificial neural network (ANN) model are applied to quantitatively analyze the ternary mixture. The results confirm that the ANN model obtains the best predicted value, with the root-mean-square errors in the prediction set (RMSEP) of 1.27% for daidzein. In summary, the biomolecular properties of flavonoids are studied by the THz-TDS technique, and a rapid, effective, and nondestructive method for qualitative identification and quantitative analysis of flavonoids is provided. The results demonstrate that this method has potential application value in the detection of Chinese herbal medicine and has better referential significance for the study of other biomolecules, especially for isomers or similar molecular structures.