The incidence of male reproductive failure leading to infertility, whether due to delayed parenthood, environmental issues, genetic factors, drugs, etc., is increasing throughout the world. The diagnosis and prognosis...The incidence of male reproductive failure leading to infertility, whether due to delayed parenthood, environmental issues, genetic factors, drugs, etc., is increasing throughout the world. The diagnosis and prognosis of male subfertility have become a challenge. While the basic semen assessment has been performed for many years, a number of studies question the value of the traditional semen characteristics. This is partly due to inadequate methods and standardization, limited knowledge of technical requirements for quality assurance, and an incomplete understanding of what clinical information a semen assessment can provide. Laboratories currently performing semen and endocrine assessment show great variability. The World Health Organization （WHO） manual for the evaluation of semen has been the core of andrology and fertility evaluation that has helped in further development of this field over many years. These include the physical appearance of the ejaculate, assessments of sperm count, motility, vitality, morphology, and functional aspects of the sperm and semen sample. These tests also include male endocrine profile, biochemical evaluation of the semen, detection of antisperm antibodies in serum, the use of computer-aided sperm analysis （CASA）, sperm DNA integrity, and its damage due to oxidative stress. Assisted reproductive techniques （e.g., IVF, ICSI） have shown great success but are too expensive. Further development in this field with newer techniques and extensive training/instructions can improve accuracy and reduce variability, thus maintaining the quality and standards of such an evaluation. There is an urgent need to have standardized training centers and increased awareness in this area of men＇s health for reproductive success.展开更多
建立地黄中地黄苷D、益母草苷、松果菊苷、肉苁蓉苷A、毛蕊花糖苷5种成分含量测定方法,并建立地黄高效液相色谱(HPLC)指纹图谱,为地黄质量控制提供科学依据。采用资生堂CAPCELL PAK C_(18)色谱柱,以乙腈-0.1%甲酸溶液为流动相,梯度洗脱...建立地黄中地黄苷D、益母草苷、松果菊苷、肉苁蓉苷A、毛蕊花糖苷5种成分含量测定方法,并建立地黄高效液相色谱(HPLC)指纹图谱,为地黄质量控制提供科学依据。采用资生堂CAPCELL PAK C_(18)色谱柱,以乙腈-0.1%甲酸溶液为流动相,梯度洗脱,柱温为30℃,变波长测定,流速为1.0 mL/min;通过“中药色谱指纹图谱相似度评价系统(2012年版)”软件分析地黄的HPLC指纹图谱,对其质量一致性进行评价。结果显示,按照所建立的含量测定方法,5种成分在各自浓度范围内具有良好的线性关系(R2>0.999 0),精密度试验、重复性试验、稳定性试验RSD为0.12%~1.58%,平均加样回收率为96.5%~98.6%;建立的地黄HPLC指纹图谱共识别23个共有峰,地黄样品与对照指纹图谱的相似度为0.904~0.950。结果提示,建立的含量测定方法及HPLC指纹图谱适用于地黄质量的评价及生地黄与熟地黄的识别,准确度高,重现性好,可为地黄药材的质量控制提供技术支撑。展开更多
目的 建立不同产地车前草和车前子药材的指纹图谱以及综合质量评价模型,为车前草和车前子药材的整体质量评价提供参考。方法 采用UPLC法测定不同产地14批车前草和12批车前子药材的指纹图谱,并对采集的指纹图谱信息进行独立样本t检验以...目的 建立不同产地车前草和车前子药材的指纹图谱以及综合质量评价模型,为车前草和车前子药材的整体质量评价提供参考。方法 采用UPLC法测定不同产地14批车前草和12批车前子药材的指纹图谱,并对采集的指纹图谱信息进行独立样本t检验以及化学计量学模式研究(HCA、PCA、PLS-DA);同时测定各批次药材的水分、总灰分、酸不溶性灰分、浸出物、膨胀度,使用熵权法计算组合权重,运用加权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)、加权秩和比法(rank sum ratio,RSR)及两者模糊联合的方法构建评价模型。结果 建立的车前子与车前草药材指纹图谱共标定32个峰,其中车前草药材标定了22个共有峰,指认了其中4个峰,车前子药材标定了25个共有峰,指认了其中6个峰。独立样本t检验及化学计量学模式研究显示不同产地车前草和车前子存在明显差异。PLS-DA从车前草药材中提取出12个差异性成分,从车前子药材中提取出14个差异性成分。构建的熵权TOPSIS法、RSR法以及两者模糊联合的综合质量评价模型,对不同产地车前草和车前子药材的质量评价排序结果较为一致。结论 本研究建立的指纹图谱可为车前草和车前子的专属性鉴别以及产地区分提供一定参考,建立的综合质量评价模型的分析结果客观、科学、准确,可用于车前草和车前子药材质量的综合评价。展开更多
文摘The incidence of male reproductive failure leading to infertility, whether due to delayed parenthood, environmental issues, genetic factors, drugs, etc., is increasing throughout the world. The diagnosis and prognosis of male subfertility have become a challenge. While the basic semen assessment has been performed for many years, a number of studies question the value of the traditional semen characteristics. This is partly due to inadequate methods and standardization, limited knowledge of technical requirements for quality assurance, and an incomplete understanding of what clinical information a semen assessment can provide. Laboratories currently performing semen and endocrine assessment show great variability. The World Health Organization （WHO） manual for the evaluation of semen has been the core of andrology and fertility evaluation that has helped in further development of this field over many years. These include the physical appearance of the ejaculate, assessments of sperm count, motility, vitality, morphology, and functional aspects of the sperm and semen sample. These tests also include male endocrine profile, biochemical evaluation of the semen, detection of antisperm antibodies in serum, the use of computer-aided sperm analysis （CASA）, sperm DNA integrity, and its damage due to oxidative stress. Assisted reproductive techniques （e.g., IVF, ICSI） have shown great success but are too expensive. Further development in this field with newer techniques and extensive training/instructions can improve accuracy and reduce variability, thus maintaining the quality and standards of such an evaluation. There is an urgent need to have standardized training centers and increased awareness in this area of men＇s health for reproductive success.
文摘建立地黄中地黄苷D、益母草苷、松果菊苷、肉苁蓉苷A、毛蕊花糖苷5种成分含量测定方法,并建立地黄高效液相色谱(HPLC)指纹图谱,为地黄质量控制提供科学依据。采用资生堂CAPCELL PAK C_(18)色谱柱,以乙腈-0.1%甲酸溶液为流动相,梯度洗脱,柱温为30℃,变波长测定,流速为1.0 mL/min;通过“中药色谱指纹图谱相似度评价系统(2012年版)”软件分析地黄的HPLC指纹图谱,对其质量一致性进行评价。结果显示,按照所建立的含量测定方法,5种成分在各自浓度范围内具有良好的线性关系(R2>0.999 0),精密度试验、重复性试验、稳定性试验RSD为0.12%~1.58%,平均加样回收率为96.5%~98.6%;建立的地黄HPLC指纹图谱共识别23个共有峰,地黄样品与对照指纹图谱的相似度为0.904~0.950。结果提示,建立的含量测定方法及HPLC指纹图谱适用于地黄质量的评价及生地黄与熟地黄的识别,准确度高,重现性好,可为地黄药材的质量控制提供技术支撑。
文摘目的 建立不同产地车前草和车前子药材的指纹图谱以及综合质量评价模型,为车前草和车前子药材的整体质量评价提供参考。方法 采用UPLC法测定不同产地14批车前草和12批车前子药材的指纹图谱,并对采集的指纹图谱信息进行独立样本t检验以及化学计量学模式研究(HCA、PCA、PLS-DA);同时测定各批次药材的水分、总灰分、酸不溶性灰分、浸出物、膨胀度,使用熵权法计算组合权重,运用加权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)、加权秩和比法(rank sum ratio,RSR)及两者模糊联合的方法构建评价模型。结果 建立的车前子与车前草药材指纹图谱共标定32个峰,其中车前草药材标定了22个共有峰,指认了其中4个峰,车前子药材标定了25个共有峰,指认了其中6个峰。独立样本t检验及化学计量学模式研究显示不同产地车前草和车前子存在明显差异。PLS-DA从车前草药材中提取出12个差异性成分,从车前子药材中提取出14个差异性成分。构建的熵权TOPSIS法、RSR法以及两者模糊联合的综合质量评价模型,对不同产地车前草和车前子药材的质量评价排序结果较为一致。结论 本研究建立的指纹图谱可为车前草和车前子的专属性鉴别以及产地区分提供一定参考,建立的综合质量评价模型的分析结果客观、科学、准确,可用于车前草和车前子药材质量的综合评价。
