...
首页> 外文期刊>Biochemical and Biophysical Research Communications >Spectroscopic diagnosis of anti-phospholipid antibodies by visible and near-infrared spectroscopy in SLE patients' plasma samples
【24h】

Spectroscopic diagnosis of anti-phospholipid antibodies by visible and near-infrared spectroscopy in SLE patients' plasma samples

机译:通过可见和近红外光谱在SLE患者等离子体样品中的可见光和近红外光谱分谱诊断抗磷脂抗体

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The purpose of this study was to investigate whether visible and near-infrared (Vis-NIR) spectroscopy can be used for diagnoses of anti-phospholipid syndrome (APS). Vis-NIR spectra from 90 plasma samples [anti-phospholipid antibodies (aPLs)-positive group, n = 48; aPLs-negative group, n = 42] were subjected to principal component analysis (PCA) and soft independent modeling of class analogy (SINICA) to develop multivariate models to discriminate between aPLs-positive and aPLs-negative. Both PCA and SINICA models were further assessed by the prediction of 84 masked other determinations. The PCA model predicted successful discrimination of the masked samples with respect to aPLs-positive and aPLs-negative. The SINICA model predicted 42 of 48 (87.5%) aPLs-positive patients and 33 of 36 (91.7%) aPLs-negative patients of Vis-NIR spectra from masked samples correctly. These results suggest that Vis-NIR spectroscopy combined with multivariate analysis could provide a promising tool to objectively diagnose APS. (c) 2007 Elsevier Inc. All rights reserved.
机译:本研究的目的是研究可见光和近红外(Vis-NIR)光谱可用于诊断抗磷脂综合征(APS)。来自90等离子体样品的Vis-Nir光谱[抗磷脂抗体(APLS) - 阳性基团,n = 48;对APLS阴性组,n = 42]进行主成分分析(PCA)和软型类比(SINICA)的软独立建模,以开发多变量模型,以区分APLS阳性和APLS-负。通过预测84个掩蔽的其他测定进一步评估了PCA和SINICA模型。 PCA模型预测了相对于APLS阳性和APLS阴性掩蔽样本的成功辨别。 Sinica模型预测48个(87.5%)APLS阳性患者的42例,33名(91.7%)APLS阴性患者的患者,正确的掩蔽样品正确。这些结果表明,与多变量分析相结合的Vis-Nir光谱可以提供有希望的工具来客观地诊断AP。 (c)2007年elestvier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号