Numerous literature has reported that polysaccharides-based cosmetics present multifunctional effects in skin moisturizing for protecting the skin barrier.The aim of this study is to investigate the physicochemical pr...Numerous literature has reported that polysaccharides-based cosmetics present multifunctional effects in skin moisturizing for protecting the skin barrier.The aim of this study is to investigate the physicochemical properties,purities,composition and cellular functions of polysaccharides extracted from the bulb of Narcissus tazetta var.chinensis(NBP)and to evaluate its efficacy evaluation on skin moisture,elasticity,allergies and inflammation.The polysaccharides were obtained from the Narcissus tazetta bulb by using cold water extraction and ethanol precipitation methods.The residual impurities,polysaccharides molecular weight and composition were analyzed by UV spectrophotometry,gel chromatography,high performance liquid chromatography and infrared spectroscopy;skin hydration and elasticity assay were analyzed following efficacy evalution on human body;laboratory test was used to evaluate histamine and nitric oxide(NO)activity.The results indicate that a yield of 6%(w/w)of NBP,show that the NBP does not contain starch,protein,colchicine,lycorine,etc.,The average molecular weight of NBP is 559 kDa,and is composed of mannose and glucose,n(mannose):n(glucose)=4:1.0.5%NBP can increase skin hydration and elasticity assay on human body.The NBP is non-cytotoxic,in the basophils RBL-2H3 cell model tests,NBP concentrations at 100~250μg/mL can effectively inhibit the release of histamine,and the NBP concentrations 600~1000μg/mL can significantly inhibit LPS-induced NO production in RAW264.7 cells which are showed dose-responsive effects.These findings demonstrate that the NBP prepared in the study could offer potent skin protection,preserving hydration and elasticity,while also providing anti-allergy and anti-inflammatory properties.It can,therefore,be considered an excellent candidate for polysaccharide-based cosmetics.展开更多
This paper proposed a semi-supervised regression model with co-training algorithm based on support vector machine, which was used for retrieving water quality variables from SPOT 5 remote sensing data. The model consi...This paper proposed a semi-supervised regression model with co-training algorithm based on support vector machine, which was used for retrieving water quality variables from SPOT 5 remote sensing data. The model consisted of two support vector regressors (SVRs). Nonlinear relationship between water quality variables and SPOT 5 spectrum was described by the two SVRs, and semi-supervised co-training algorithm for the SVRs was es-tablished. The model was used for retrieving concentrations of four representative pollution indicators―permangan- ate index (CODmn), ammonia nitrogen (NH3-N), chemical oxygen demand (COD) and dissolved oxygen (DO) of the Weihe River in Shaanxi Province, China. The spatial distribution map for those variables over a part of the Weihe River was also produced. SVR can be used to implement any nonlinear mapping readily, and semi-supervis- ed learning can make use of both labeled and unlabeled samples. By integrating the two SVRs and using semi-supervised learning, we provide an operational method when paired samples are limited. The results show that it is much better than the multiple statistical regression method, and can provide the whole water pollution condi-tions for management fast and can be extended to hyperspectral remote sensing applications.展开更多
基金Fujian Provincial Foreign Cooperation Project of Science and Technology Plan(Project No.:202111010)。
文摘Numerous literature has reported that polysaccharides-based cosmetics present multifunctional effects in skin moisturizing for protecting the skin barrier.The aim of this study is to investigate the physicochemical properties,purities,composition and cellular functions of polysaccharides extracted from the bulb of Narcissus tazetta var.chinensis(NBP)and to evaluate its efficacy evaluation on skin moisture,elasticity,allergies and inflammation.The polysaccharides were obtained from the Narcissus tazetta bulb by using cold water extraction and ethanol precipitation methods.The residual impurities,polysaccharides molecular weight and composition were analyzed by UV spectrophotometry,gel chromatography,high performance liquid chromatography and infrared spectroscopy;skin hydration and elasticity assay were analyzed following efficacy evalution on human body;laboratory test was used to evaluate histamine and nitric oxide(NO)activity.The results indicate that a yield of 6%(w/w)of NBP,show that the NBP does not contain starch,protein,colchicine,lycorine,etc.,The average molecular weight of NBP is 559 kDa,and is composed of mannose and glucose,n(mannose):n(glucose)=4:1.0.5%NBP can increase skin hydration and elasticity assay on human body.The NBP is non-cytotoxic,in the basophils RBL-2H3 cell model tests,NBP concentrations at 100~250μg/mL can effectively inhibit the release of histamine,and the NBP concentrations 600~1000μg/mL can significantly inhibit LPS-induced NO production in RAW264.7 cells which are showed dose-responsive effects.These findings demonstrate that the NBP prepared in the study could offer potent skin protection,preserving hydration and elasticity,while also providing anti-allergy and anti-inflammatory properties.It can,therefore,be considered an excellent candidate for polysaccharide-based cosmetics.
基金Under the auspices of National Natural Science Foundation of China (No. 40671133)Fundamental Research Funds for the Central Universities (No. GK200902015)
文摘This paper proposed a semi-supervised regression model with co-training algorithm based on support vector machine, which was used for retrieving water quality variables from SPOT 5 remote sensing data. The model consisted of two support vector regressors (SVRs). Nonlinear relationship between water quality variables and SPOT 5 spectrum was described by the two SVRs, and semi-supervised co-training algorithm for the SVRs was es-tablished. The model was used for retrieving concentrations of four representative pollution indicators―permangan- ate index (CODmn), ammonia nitrogen (NH3-N), chemical oxygen demand (COD) and dissolved oxygen (DO) of the Weihe River in Shaanxi Province, China. The spatial distribution map for those variables over a part of the Weihe River was also produced. SVR can be used to implement any nonlinear mapping readily, and semi-supervis- ed learning can make use of both labeled and unlabeled samples. By integrating the two SVRs and using semi-supervised learning, we provide an operational method when paired samples are limited. The results show that it is much better than the multiple statistical regression method, and can provide the whole water pollution condi-tions for management fast and can be extended to hyperspectral remote sensing applications.
