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Clinica Chimica Acta：开发和验证LC-MS/MS新方法对血清雌二醇进行定量

2019-08-08 不详 MedSci原创

血清雌二醇
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在开发免疫分析方法之前，对于雌二醇的测定方法一直采用气相色谱<span lang="EN-US" style="font-size:12.0pt;mso-bidi-font-size:14.0pt;font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;; mso-fareast-font-family:宋体;mso-bidi-font-fam

在开发免疫分析方法之前，对于雌二醇的测定方法一直采用气相色谱-质谱联用技术。虽然免疫测定速度快，需要的样本量小，但它也存在特异性问题。近年来，液相色谱-串联质谱联用已成为测定血清雌二醇的首选方法。然而，这类所有方法的一个共同点，那就是缺乏标准化。

在此，研究人员建立了LC-MS/MS分析方法，并使用标准测量程序指定的浓度校准器进行了临床验证，以提高校准的准确性。结果显示，以200微升血清为研究对象，采用正己烷-乙酸乙酯萃取液-液萃取，然后用氯化丹酰衍生化。梯度洗脱的运行时 6.5分钟。分析测量范围是2到1000 pg / mL，分析间不精确的< 10%。研究显示，通过与两个参考实验室的比较，发现偏差可接受，来自欧盟委员会联合研究中心、参考材料与研究所和美国病理学家精确调查样本学院的参考材料测量也是如此。

本研究建立了血清雌二醇的LC-MS/MS测定方法，并利用CDC RMP指定的校准浓度进行了临床验证，以帮助提高准确度。

原始出处：

JustinDowis,Witold Woroniecki,Development and validation of a LC-MS/MS assay for quantification of serum estradiol using calibrators with values assigned by the CDC reference measurement procedure

本文系梅斯医学（MedSci）原创编译整理，转载需授权！


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    2019-10-11 windight

    #CTA#

    0

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    2019-12-17 kord1982

    #新方法#

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=1849677, encodeId=a55a18496e728, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Fri Oct 11 15:21:00 CST 2019, time=2019-10-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1903376, encodeId=2a0b19033e696, content=<a href='/topic/show?id=e1b0583884b' target=_blank style='color:#2F92EE;'>#新方法#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=93, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58388, encryptionId=e1b0583884b, topicName=新方法)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c22f171, createdName=kord1982, createdTime=Tue Dec 17 16:21:00 CST 2019, time=2019-12-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1299420, encodeId=3c97129942071, content=<a href='/topic/show?id=60ea98e5030' target=_blank style='color:#2F92EE;'>#雌二醇#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=114, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=98750, encryptionId=60ea98e5030, topicName=雌二醇)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=4f9e287, createdName=hxzhang, createdTime=Sat Aug 10 06:21:00 CST 2019, time=2019-08-10, status=1, ipAttribution=)]
    2019-08-10 hxzhang

    #雌二醇#

    0

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