Quality assessment of Traditional Chinese Medicine using HPLC-PAD combined with Tchebichef image moments

In vivo and in vitro chemical composition and biological activity of traditional vs. dispensing granule decoctions of Coptidis Rhizoma: A comparative study

Coptidis Rhizoma (CR) holds significant clinical importance. In this study, we conducted a comparative analysis of CR's dispensing granule decoction (DGD) and traditional decoction (TD) to establish a comprehensive evaluation method for the quality of DGD. We selected nine batches of DGD (three from each of manufacturers A, B and C) and 10 batches of decoction pieces for analysis. We determined the content of representative components using high-performance liquid chromatography and assessed the content of blood components in vivo post-administration using ultra-performance liquid chromatography-mass spectrometry. The antibacterial activity was measured using the drug-sensitive tablet method. To evaluate the overall consistency of DGD and TD, we employed the CRITIC method and Grey relational analysis method. Our CRITIC results indicated no significant difference between the CRITIC scores of DGD-B and TD, with DGD-B exhibiting the highest consistency and overall quality. However, DGD-A and DGD-C showed variations in CRITIC scores compared with TD. After equivalent correction, the quality of DGD-A and DGD-C approached that of TD. Furthermore, our Grey relational analysis results supported the findings of the CRITIC method. This study offers a novel approach to evaluate the consistency between DGD and TD, providing insights into improving the quality of DGD.

Color perception and recognition method for Guangdong embroidery image based on discrete mathematical model

The traditional method of Guangdong embroidery image color perception recognition has poor stereoscopic color reduction. Therefore, this paper introduces discrete mathematical model to design a new method of Guangdong embroidery image color perception recognition. Through histogram equalization, the input image with relatively concentrated gray distribution is transformed into the histogram output image with approximately uniform distribution to enhance the dynamic range of pixel gray value. The image of Yuexiu is smoothed and filtered by median filtering method to remove the noise in the image of Yuexiu. The RGB spatial model and HSI spatial model of image color are constructed by normalizing the coordinates and color attributes of pixels. The RGB color space and HSI color space are transformed, and the image color perception recognition model is established to realize the color perception recognition of Guangdong embroidery image. The experimental results show that the pixels of each color in the color pixel image curve of the proposed method are as high as 800, the color pixel image curve distribution is the most intensive, and the color restoration is high.

Simultaneous Determination of 9 Main Components of Lonicera japonica Thunb. by UPLC-MS/MS and Analysed Combine With Chemometrics

The purpose of this article is to establish a method to use ultra-high performance liquid chromatography (UPLC)-mass spectrometry (MS)/MS to simultaneously determine 9 main components of Lonicera japonica Thunb. in negative-ion scanning mode, and the main components were analyzed by chemometrics. The chromatographic separation uses the Thermo Hypersil GOLD column (100 mm × 2.1 mm, 1.9 µm) with a constant temperature of 45 °C. The mobile phase consists of methanol and water containing 0.2% formic acid. The results show that 9 compounds had a good linear relationship ( R² > 0.9991), and both intraday and interday precisions and stability have the eligible ranges of relative SDs (RSDs; 0.96%-2.26%, 0.52%-3.04%, and 0.85%-2.15%, respectively). The recovery rates were between 75.90% and 110.58%. The results of chemometrics including hierarchical cluster analysis and principal component analysis showed that there were obvious differences in the content of active components in L. japonica from different regions, and the compounds with the highest contribution to the drug were identified. Through the UPLC-MS/MS combined chemometrics analysis of L. japonica, this experiment can provide a reference for further research on the modernization and innovation of L. japonica and the application research of a high level and multidirection.

Assessing Geographical Origin of Gentiana Rigescens Using Untargeted Chromatographic Fingerprint, Data Fusion and Chemometrics

Gentiana rigescens Franchet, which is famous for its bitter properties, is a traditional drug of chronic hepatitis and important raw materials for the pharmaceutical industry in China. In the study, high-performance liquid chromatography (HPLC), coupled with diode array detector (DAD) and chemometrics, were used to investigate the chemical geographical variation of G. rigescens and to classify medicinal materials, according to their grown latitudes. The chromatographic fingerprints of 280 individuals and 840 samples from rhizomes, stems, and leaves of four different latitude areas were recorded and analyzed for tracing the geographical origin of medicinal materials. At first, HPLC fingerprints of underground and aerial parts were generated while using reversed-phase liquid chromatography. After the preliminary data exploration, two supervised pattern recognition techniques, random forest (RF) and orthogonal partial least-squares discriminant analysis (OPLS-DA), were applied to the three HPLC fingerprint data sets of rhizomes, stems, and leaves, respectively. Furthermore, fingerprint data sets of aerial and underground parts were separately processed and joined while using two data fusion strategies ("low-level" and "mid-level"). The results showed that classification models that are based OPLS-DA were more efficient than RF models. The classification models using low-level data fusion method built showed considerably good recognition and prediction abilities (the accuracy is higher than 99% and sensibility, specificity, Matthews correlation coefficient, and efficiency range from 0.95 to 1.00). Low-level data fusion strategy combined with OPLS-DA could provide the best discrimination result. In summary, this study explored the latitude variation of phytochemical of G. rigescens and developed a reliable and accurate identification method for G. rigescens that were grown at different latitudes based on untargeted HPLC fingerprint, data fusion, and chemometrics. The study results are meaningful for authentication and the quality control of Chinese medicinal materials.

Using 3D-UPLC-DAD and a new method-verification by adding mixture standard compounds to determine the fingerprint and eight active components of Naoluoxintong decoction

Naoluoxintong decoction (NLXTD) is a traditional Chinese formula which has been used for the management of ischemic stroke in China for two hundred years. In this study, we developed a comprehensive and reliable analytical method to qualitatively analyze the components in NLXTD. This novel method was based on three-dimensional ultra-fast high performance liquid chromatography coupled with diode array detector (3D-UPLC-DAD) with an additional component validation method via incorporation of the mixture standard compounds during the verification step. In addition, the relationship between active components and "Monarch drug, Minster drug, Assistant drug, Guide drug" were determined. Our results showed that gradient elution with the mobile phase of 0.02% formic acid and methanol was the optimum condition to separate peaks. A total of 35 common peaks were established by comparing ten batches of NLXTD, and eight components were identified, including Calycosin, Calycosin-7-O-β-d-glucoside and Ononin in Astragali radix (Monarch drug); Ligustrazine in Chuanxiong Rhizoma (Minster drug); 4-Hydroxbenzyl alcohol and Parishin A in Gastrodiae rhizome (Assistant drug); Ferulic acid in Angelicae sinensis radix (Guide drug). The validation method of verification by adding mixture standard compounds combined with 3D-UPLC-DAD method, with the merits of greater resolution, higher speed of analysis and higher sensitivity, provided a semi-quantitative and qualitative analysis method to assess traditional Chinese medicinal prescription consisting of many bio-active components. Finally, our study has provided systemic and scientific evidence to explain the relationship between the bio-active components in the NLXTD and traditional Chinese medicine theory.

The multi-resolution capability of Tchebichef moments and its applications to the analysis of fluorescence excitation-emission spectra

Fluorescence spectroscopy with an excitation-emission matrix (EEM) is a fast and inexpensive technique and has been applied to the detection of a very wide range of analytes. However, serious scattering and overlapping signals hinder the applications of EEM spectra. In this contribution, the multi-resolution capability of Tchebichef moments was investigated in depth and applied to the analysis of two EEM data sets (data set 1 consisted of valine-tyrosine-valine, tryptophan-glycine and phenylalanine, and data set 2 included vitamin B1, vitamin B2 and vitamin B6) for the first time. By means of the Tchebichef moments with different orders, the different information in the EEM spectra can be represented. It is owing to this multi-resolution capability that the overlapping problem was solved, and the information of chemicals and scatterings were separated. The obtained results demonstrated that the Tchebichef moment method is very effective, which provides a promising tool for the analysis of EEM spectra. It is expected that the applications of Tchebichef moment method could be developed and extended in complex systems such as biological fluids, food, environment and others to deal with the practical problems (overlapped peaks, unknown interferences, baseline drifts, and so on) with other spectra.