Publications by authors named "Si-Min Yan"

Article Synopsis
  • - The study analyzed the effects of high-dose statin pretreatment before percutaneous coronary intervention (PCI) in Chinese patients by reviewing eleven studies with 3,123 participants to assess major cardiovascular outcomes.
  • - Results indicated a significant reduction in major adverse cardiovascular events (MACE) with intensive statin use compared to placebo, but no significant benefits over moderate-intensity statin therapy or other outcomes like target vessel revascularization and muscle symptoms.
  • - The findings suggest intensive statin therapy reduces risk for non-fatal myocardial infarction but does not show additional advantages over moderate therapy for other complications, highlighting a need for more tailored treatment approaches.
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Polysaccharides are macromolecular compounds linked by multiple monosaccharides or monosaccharide derivatives, with a variety of biological activities, such as anti-tumor, anti-oxidation, anti-virus, immunity enhancement, hypoglycemic, hypolipidemic. Its complex structure, diverse biological activities, good application prospects and broad sources of polysaccharides have attracted more and more researchers. The application of microcapsules, microspheres, nanoparticles, liposomes and other new preparation techniques in the preparation research and development of polysaccharides will not only improve the stability and bioavailability of polysaccharides, but also have a good targeting in the treatment of diseases and high biocompatibility.

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Heart failure preceded by pathological cardiac hypertrophy is a leading cause of death. Long noncoding RNA small nucleolar RNA host gene 1 (SNHG1) was reported to inhibit cardiomyocytes apoptosis, but the role and underlying mechanism of SNHG1 in pathological cardiac hypertrophy have not yet been understood. This study was designed to investigate the role and molecular mechanism of SNHG1 in regulating cardiac hypertrophy.

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The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, BI. (GE), was studied in this paper. A total of 210 GE samples were collected from 7 different producing areas.

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This paper focuses on a rapid and nondestructive way to discriminate the geographical origin of Anxi-Tieguanyin tea by near-infrared (NIR) spectroscopy and chemometrics. 450 representative samples were collected from Anxi County, the original producing area of Tieguanyin tea, and another 120 Tieguanyin samples with similar appearance were collected from unprotected producing areas in China. All these samples were measured by NIR.

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This paper investigates the feasibility of using FT-NIR spectroscopy and chemometrics for rapid analysis of poplar balata (PB) in Chinese propolis. Because practical adulterations usually involve addition of certain known active components, together with commercial PB, the commonly targeted analysis methods are insufficient to identify PB-adulterated propolis. Untargeted analysis of PB was performed by developing class models of pure propolis using one-class partial least squares (OCPLS).

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The feasibility of electronic tongue and multivariate analysis was investigated for discriminating the specific geographical origins of a Chinese green tea with Protected Designation of Origin (PDO). 155 Longjing tea samples from three subareas were collected and analyzed by an electronic tongue array of 7 sensors. To remove the influence of abnormal measurements and samples, robust principal component analysis (ROBPCA) was used to detect outliers in each class.

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This paper develops a rapid analysis method for adulteration identification of a popular traditional Chinese food, lotus root powder (LRP), by near-infrared spectroscopy and chemometrics. 85 pure LRP samples were collected from 7 main lotus producing areas of China to include most if not all of the significant variations likely to be encountered in unknown authentic materials. To evaluate the model specificity, 80 adulterated LRP samples prepared by blending pure LRP with different levels of four cheaper and commonly used starches were measured and predicted.

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Untargeted detection of protein adulteration in Chinese yogurt was performed using near-infrared (NIR) spectroscopy and chemometrics class modelling techniques. sixty yogurt samples were prepared with pure and fresh milk from local market, and 197 adulterated yogurt samples were prepared by blending the pure yogurt objects with different levels of edible gelatin, industrial gelatin, and soy protein powder, which have been frequently used for yogurt adulteration. A recently proposed one-class partial least squares (OCPLS) model was used to model the NIR spectra of pure yogurt objects and analyze those of future objects.

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Article Synopsis
  • Class modeling techniques are necessary for addressing one-class problems, which can be challenging because test objects might not fit neatly into predefined categories.
  • The paper proposes a strategy that employs ensemble learning of sub-models based on different wavelength intervals, which helps to balance class description and model specificity.
  • By using a data-driven approach for cross-validation, the method improves the detection of out-of-class objects and was shown to outperform total-spectrum models in terms of specificity through analysis of infrared spectral data sets.
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