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Comparison of Methods Study between a Photonic Crystal Biosensor and Certified ELISA to Measure Biomarkers of Iron Deficiency in Chronic Kidney Disease Patients

机译:慢性肾脏病患者光子晶体生物传感器与认证ELISA检测铁缺乏症生物标志物方法研究的比较

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The total analytical error of a photonic crystal (PC) biosensor in the determination of ferritin and soluble transferrin receptor (sTfR) as biomarkers of iron deficiency anemia in chronic kidney disease (CKD) patients was evaluated against certified ELISAs. Antigens were extracted from sera of CKD patients using functionalized iron-oxide nanoparticles (fAb-IONs) followed by magnetic separation. Immuno-complexes were recognized by complementary detection Ab affixed to the PC biosensor surface, and their signals were followed using the BIND instrument. Quantification was conducted against actual protein standards. Total calculated error (TEcalc) was estimated based on systematic (SE) and random error (RE) and compared against total allowed error (TEa) based on established quality specifications. Both detection platforms showed adequate linearity, specificity, and sensitivity for biomarkers. Means, SD, and CV were similar between biomarkers for both detection platforms. Compared to ELISA, inherent imprecision was higher on the PC biosensor for ferritin, but not for sTfR. High SE or RE in the PC biosensor when measuring either biomarker resulted in TEcalc higher than the TEa. This did not influence the diagnostic ability of the PC biosensor to discriminate CKD patients with low iron stores. The performance of the PC biosensor is similar to certified ELISAs; however, optimization is required to reduce TEcalc.
机译:根据认证的ELISA评估光子晶体(PC)生物传感器在确定铁蛋白和可溶性转铁蛋白受体(sTfR)作为慢性肾病(CKD)患者铁缺乏性贫血的生物标志物方面的总分析误差。使用功能化的氧化铁纳米颗粒(fAb-IONs)从CKD患者的血清中提取抗原,然后进行磁分离。免疫复合物通过粘贴在PC生物传感器表面的互补检测抗体Ab识别,并使用BIND仪器跟踪其信号。对照实际蛋白质标准品进行定量。基于系统误差(SE)和随机误差(RE)估算总计算误差(TEcalc),并根据已建立的质量规范将其与总允许误差(TEa)进行比较。两种检测平台均显示出足够的线性,特异性和生物标记物敏感性。两个检测平台的生物标志物之间的平均值,SD和CV相似。与ELISA相比,PC生物传感器对铁蛋白的固有不精确度更高,但对sTfR则没有。当测量任一生物标志物时,PC生物传感器中的高SE或RE导致TEcalc高于TEa。这并不影响PC生物传感器区分铁存储量低的CKD患者的诊断能力。 PC生物传感器的性能与认证的ELISA相似。但是,需要优化以减少TEcalc。

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