目的优化浊点萃取协同超声波辅助提取桑叶黄酮工艺,并对其降血脂作用进行研究。方法以桑叶黄酮得率为指标,采用单因素和响应面实验,优化浊点萃取协同超声波辅助法的提取工艺条件。同时将小鼠随机分为桑叶黄酮低、中、高剂量组、正常对...目的优化浊点萃取协同超声波辅助提取桑叶黄酮工艺,并对其降血脂作用进行研究。方法以桑叶黄酮得率为指标,采用单因素和响应面实验,优化浊点萃取协同超声波辅助法的提取工艺条件。同时将小鼠随机分为桑叶黄酮低、中、高剂量组、正常对照组、模型对照组和辛伐他汀组。除正常对照组外,其余5组喂养60%高脂饲料构建高血脂小鼠模型。测定小鼠的体重、血清中血清总胆固醇(total cholesterol,TC)、甘油三酯(triglyceride,TG)、低密度脂蛋白胆固醇(low density lipoprotein cholesterol,LDL-C)和高密度脂蛋白胆固醇(high density lipoprotein cholesterol,HDL-C)含量及肝组织中超氧化物歧化酶(superoxide dismutase,SOD)活性、丙二醛(malondialdehyde,MDA)含量和谷胱甘肽过氧化物酶(glutathione peroxidase,GSH-Px)活性。结果最佳提取工艺条件为:十二烷基硫酸钠添加量2.1%、超声波功率400W、超声时间42min,此时桑叶黄酮得率2.82%,此法的提取效果优于其他两种单一的提取方式。桑叶黄酮对高血脂小鼠降血脂实验结果得出:桑叶黄酮能有效抑制高血脂小鼠体重的增加,减少高血脂小鼠血清中TC、TG、LDL-C的含量,降低高血脂小鼠肝组织中MDA含量,提高GSH-Px和SOD活性,表明桑叶黄酮对高血脂小鼠具有良好的降血脂作用。结论优化后的提取条件能够有效提取桑叶黄酮,得到的桑叶黄酮具有较好的降血脂作用,该研究可为桑叶黄酮的提取及开发应用提供参考。展开更多
目的探讨一例赖氨酸尿性蛋白耐受不良(Lysinuric Protein Intolerance,LPI)患儿的临床及遗传学特点。方法回顾分析1例LPI患儿的临床特点,通过高通量测序对患儿家系进行基因检测。结果2岁2月,男性患儿,表现为异常哭闹,发育迟缓,身材矮小...目的探讨一例赖氨酸尿性蛋白耐受不良(Lysinuric Protein Intolerance,LPI)患儿的临床及遗传学特点。方法回顾分析1例LPI患儿的临床特点,通过高通量测序对患儿家系进行基因检测。结果2岁2月,男性患儿,表现为异常哭闹,发育迟缓,身材矮小,厌恶蛋白。高通量测序提示SLC7A7基因存在c.625+1G>A和c.225_c.226insAGGGTGTGCTCATATACAGTGCCTCCTTTGGTCTCTCTCTGGTCATC(p.W76Rfs*110)复合杂合变异,分别来自于表型正常的母亲和父亲,c.225_c.226insAGGGTGTGCTCATATACAGTGCCTCCTTTGGTCTCTCTCTGGTCATC(p.W76Rfs*110)为未报道过的变异。结论LPI临床缺乏特异性,厌恶蛋白是本病的一个明显特征,新位点变异扩展了SLC7A7基因变异谱,基因检测是确诊LPI的关键。展开更多
A novel thickness measurement method for surface insulation coating of silicon steel based on NIR spectrometry is explored.The NIR spectra of insulation coating of silicon steel were collected by acousto-optic tunable...A novel thickness measurement method for surface insulation coating of silicon steel based on NIR spectrometry is explored.The NIR spectra of insulation coating of silicon steel were collected by acousto-optic tunable filter(AOTF) NIR spectrometer.To make full use of the effective information of NIR spectral data,discrete binary particle swarm optimization(DBPSO) algorithm was used to select the optimal wavelength variates.The new spectral data,composed of absorbance at selected wavelengths,were used to create the thickness quantitative analysis model by kernel partial least squares(KPLS) algorithm coupled with Boosting.The results of contrast experiments showed that the Boosting-KPLS model could efficiently improve the analysis accuracy and speed.It indicates that Boosting-KPLS is a more accurate and robust analysis method than KPLS for NIR spectral analysis.The maximal and minimal absolute error of 30 testing samples is respectively-0.02 μm and 0.19 μm,and the maximal relative error is 14.23%.These analysis results completely meet the practical measurement need.展开更多
文摘目的优化浊点萃取协同超声波辅助提取桑叶黄酮工艺,并对其降血脂作用进行研究。方法以桑叶黄酮得率为指标,采用单因素和响应面实验,优化浊点萃取协同超声波辅助法的提取工艺条件。同时将小鼠随机分为桑叶黄酮低、中、高剂量组、正常对照组、模型对照组和辛伐他汀组。除正常对照组外,其余5组喂养60%高脂饲料构建高血脂小鼠模型。测定小鼠的体重、血清中血清总胆固醇(total cholesterol,TC)、甘油三酯(triglyceride,TG)、低密度脂蛋白胆固醇(low density lipoprotein cholesterol,LDL-C)和高密度脂蛋白胆固醇(high density lipoprotein cholesterol,HDL-C)含量及肝组织中超氧化物歧化酶(superoxide dismutase,SOD)活性、丙二醛(malondialdehyde,MDA)含量和谷胱甘肽过氧化物酶(glutathione peroxidase,GSH-Px)活性。结果最佳提取工艺条件为:十二烷基硫酸钠添加量2.1%、超声波功率400W、超声时间42min,此时桑叶黄酮得率2.82%,此法的提取效果优于其他两种单一的提取方式。桑叶黄酮对高血脂小鼠降血脂实验结果得出:桑叶黄酮能有效抑制高血脂小鼠体重的增加,减少高血脂小鼠血清中TC、TG、LDL-C的含量,降低高血脂小鼠肝组织中MDA含量,提高GSH-Px和SOD活性,表明桑叶黄酮对高血脂小鼠具有良好的降血脂作用。结论优化后的提取条件能够有效提取桑叶黄酮,得到的桑叶黄酮具有较好的降血脂作用,该研究可为桑叶黄酮的提取及开发应用提供参考。
文摘目的探讨一例赖氨酸尿性蛋白耐受不良(Lysinuric Protein Intolerance,LPI)患儿的临床及遗传学特点。方法回顾分析1例LPI患儿的临床特点,通过高通量测序对患儿家系进行基因检测。结果2岁2月,男性患儿,表现为异常哭闹,发育迟缓,身材矮小,厌恶蛋白。高通量测序提示SLC7A7基因存在c.625+1G>A和c.225_c.226insAGGGTGTGCTCATATACAGTGCCTCCTTTGGTCTCTCTCTGGTCATC(p.W76Rfs*110)复合杂合变异,分别来自于表型正常的母亲和父亲,c.225_c.226insAGGGTGTGCTCATATACAGTGCCTCCTTTGGTCTCTCTCTGGTCATC(p.W76Rfs*110)为未报道过的变异。结论LPI临床缺乏特异性,厌恶蛋白是本病的一个明显特征,新位点变异扩展了SLC7A7基因变异谱,基因检测是确诊LPI的关键。
基金National High Technology Research and Development Program of China(2009AA04Z131)Natural Science Foundation of China (50877056)
文摘A novel thickness measurement method for surface insulation coating of silicon steel based on NIR spectrometry is explored.The NIR spectra of insulation coating of silicon steel were collected by acousto-optic tunable filter(AOTF) NIR spectrometer.To make full use of the effective information of NIR spectral data,discrete binary particle swarm optimization(DBPSO) algorithm was used to select the optimal wavelength variates.The new spectral data,composed of absorbance at selected wavelengths,were used to create the thickness quantitative analysis model by kernel partial least squares(KPLS) algorithm coupled with Boosting.The results of contrast experiments showed that the Boosting-KPLS model could efficiently improve the analysis accuracy and speed.It indicates that Boosting-KPLS is a more accurate and robust analysis method than KPLS for NIR spectral analysis.The maximal and minimal absolute error of 30 testing samples is respectively-0.02 μm and 0.19 μm,and the maximal relative error is 14.23%.These analysis results completely meet the practical measurement need.
