Panax notoginseng (P. notoginseng) is frequently targeted for adulteration with lower-grade P. notoginseng because of its high price. This paper presents a novel method to improve the identification ability of adulter...
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Panax notoginseng (P. notoginseng) is frequently targeted for adulteration with lower-grade P. notoginseng because of its high price. This paper presents a novel method to improve the identification ability of adulterants using spectroscopic techniques and chemometrics. P. notoginseng powder of different grades were blended at different percentages (0-100%), in which the minimum blend ratio was 0.5%. NIR (12,497-4000 cm(-1)) and FT-MIR (4000-400 cm(-1)) spectra of samples were acquired. The wavenumbers of 7099-4200 cm(-1), 3600-2750 cm(-1), and 1750-400 cm(-1) were selected manually as characteristic spectra, which included 3706 variables. Then principal component analysis (PCA) was used to further reduce the data dimension of characteristic spectra, and the first nine principal components (PCs) were applied to build classification models of 14 (the ratio of 0.5% excluded) and 15 kinds of blend ratios. Finally, Support vector machine (SVM) was built for classification of adulterants of different blend ratio. The accuracy of prediction set is 92.46% and 91.79%, respectively. On this basis, particle swarm optimization (PSO) was applied to optimize the parameters of SVM, and the accuracy of prediction set increased to 96.65% and 96.97%, respectively. The results demonstrate that the application of data fusion of NIR and FT-MIR spectra combined with SVM optimized by PSO can improve the identification ability of adulterants in powdered P. notoginseng.
Blood viscosity is one of the important parameters to characterize hemorheological properties of the human body. Its real-time and dynamic measurement has important physiological significance for studying the developm...
Blood viscosity is one of the important parameters to characterize hemorheological properties of the human body. Its real-time and dynamic measurement has important physiological significance for studying the development and prevention of chronic diseases. This study researched noninvasive and personalized measurement of microvascular blood viscosity. In the microcirculation capillary network blood flow model, combined with pulse wave parameters, multiple regression analysis was used to fit the simulated radius of personalized physiological blood vessels to calculate the microvascular blood viscosity. The fitted value related to the simulated radius of the physiological blood vessel had a high correlation with the corresponding theoretically derived value (correlation coefficient: 0.904,P <= 0.001). The calculated value of the microvascular blood viscosity had a certain correlation with the clinical whole blood viscosity at a low shear rate (correlation coefficient: 0.443,P<0.05). This algorithm could provide effective means for noninvasive and long-term individual monitoring and family health care.
Root-knot nematode is a common plant-parasitic pest with a highly destructive that infects more than 2000 plant species. Panax notoginseng (P. notoginseng) is one of the most susceptible traditional medicine. More imp...
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Root-knot nematode is a common plant-parasitic pest with a highly destructive that infects more than 2000 plant species. Panax notoginseng (P. notoginseng) is one of the most susceptible traditional medicine. More importantly, it is difficult to distinguish the powders of P. notoginseng infected with root-knot nematode from those of healthy P. notoginseng due to the color and shape are same after being ground into powder. In this paper, Attenuated Total Reflection-Fourier Transform Infrared (ATR-FTIR) was used to identify P. notoginseng samples. Multiplicative scatter correction (MSC) was applied to preprocess the spectral data. Competitive adaptive reweighted sampling (CARS) and successive projection algorithm (SPA) were employed to select feature variables. Density-based spatial clustering of application with noise (DBSCAN) was adopted to discover groups within the data. Also, we found that the geographical origin is a pivotal factor to consider when identifying unhealthy P. notoginseng. Therefore, we introduced a novel multi-label classification (MLC) method to identify healthy and unhealthy P. notoginseng powders from three different geographical origins. In addition, binary relevance method (BR), classifier chain (CC), ensembles of classifier chains (ECC), and multilayer perceptron classifier (MLPC) were applied to create classification models, ECC exhibits superior performance in particular. (C) 2019 Elsevier B.V. All rights reserved.
Natrin, a new member of the cysteine-rich secretory protein (CRISP) family purified from the snake venom of Naja naja atra, has been demonstrated to have anticancer activity. However, the underlying molecular mechanis...
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Natrin, a new member of the cysteine-rich secretory protein (CRISP) family purified from the snake venom of Naja naja atra, has been demonstrated to have anticancer activity. However, the underlying molecular mechanisms need further elucidation. In this study, MU was used to evaluate cell viability. Apoptotic cells were analyzed by employing a transmission electron microscope (TEM). Metabolomic study of the metabolic perturbations caused by natrin-induced apoptosis in differentiated SMMC-7721 cells was performed for the first time by using integrative ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q/IDF MS). To investigate the possible mechanism in the mitochondria] pathway of natrin-induced apoptosis, we measured apoptosis-related mRNA changes using real-time fluorescent quantitative PCR (FQ-PCR). Cell proliferation was significantly inhibited after treatment with natrin in a dose dependent manner. Principal component analysis (PCA) and partial least squares-discriminate analysis (PLS-DA) clearly demonstrated that metabolic profiles were affected by natrin. The results of multivariate statistical analysis showed that a total of 13 metabolites were characterized as potential biomarkers highly implicated in natrin-induced apoptosis, which corresponded to fluctuations of five pathways, including sphingolipid metabolism, fatty acid biosynthesis, fatty acid metabolism, glycerophospholipid metabolism and glycosphingolipid biosynthesis. Furthermore, natrin-induced apoptosis showed an increase in the Bax/Bcl-2 ratio in the mitochondrial pathway compared with controls. This study illustrated that rapid and holistic cell metabolomics combining molecular biological approaches might be a powerful tool for evaluating the underlying mechanisms of natrin-induced apoptosis, which would help to deepen specific insights into the anti-hepatoma mechanisms of natrin and facilitate the clinical application of natrin in the future.
Bixa orellanais a small tree known for its red, oil-soluble pigment contained in the seed coat that is used as a natural dye and food coloring. In this study, we assembled and characterized the complete chloroplast ge...
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Bixa orellanais a small tree known for its red, oil-soluble pigment contained in the seed coat that is used as a natural dye and food coloring. In this study, we assembled and characterized the complete chloroplast genome ofB. orellanaas a resource for future genetic studies. With a total length of 159,825 bp, the chloroplast genome comprised of a large single-copy (LSC) region of 89,476 bp, a small single-copy (SSC) region of 19,617 bp, and two inverted repeat (IR) regions of 25,356 bp each. A total of 127 genes were predicted, consisting of 83 protein-coding genes, 36 tRNA genes, and 8 rRNA genes. Phylogenetic analysis confirmed the position ofB. orellanawithin the order Malvales.
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