Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Biosens Bioelectron. 2014 Jun 15;56:320-7. doi: 10.1016/j.bios.2014.01.022. Epub 2014 Jan 23.
Iron deficiency anemia afflicts 1 in 3 individuals, mostly women and children worldwide. A novel application using iron-oxide nanoparticles (IONPs) and a photonic crystal (PC) optical biosensor as an immunodiagnostic platform for detection of serum ferritin, a biomarker for iron deficiency, is presented. Human liver ferritin (450 kDa), clinical serum controls, and three commercially available ferritin ELISA tests were used to evaluate the PC biosensor assay in terms of inter- and intra-assay variability, spike-recovery (%), limit of detection (LOD), and matrix effects on binding. For the PC biosensor, signal response from label-free, sandwich with secondary antibody (pAb), and pAb functionalized with iron-oxide nanoparticles (FpAb) assays were detected using the Biomolecular Interaction Detection (BIND) system. Bland-Altman analysis was used to evaluate agreement between expected values for ferritin in control sera and each of the detection platforms. Inter- and intra-assay variability of the PC biosensor were both <10%. Percent mean recovery (±%RSD) of ferritin from two control sera samples were 94.3% (13.1%) and 96.9% (7.6%). Use of FpAb in PC biosensor resulted in two orders of magnitude increase in sensitivity compared to label-free assay; capable of measuring serum ferritin as low as 26 ng/mL. In comparison to ELISA tests, the PC biosensor assay had the lowest bias (-1.26; 95% CI [-3.0-5.5]) and narrower limit of agreement (-11.6-9.1 ng/mL) when determining ferritin concentrations from control sera. These proof-of-concept studies support the use of IONPs to enhance detection sensitivity of PC biosensors for determination of biomarkers of nutritional status.
缺铁性贫血影响全球 1/3 的人群,主要为妇女和儿童。本研究提出了一种使用氧化铁纳米粒子(IONPs)和光子晶体(PC)光学生物传感器作为免疫诊断平台检测血清铁蛋白(铁缺乏的生物标志物)的新方法。本研究用人肝铁蛋白(450 kDa)、临床血清对照和三种市售的铁蛋白 ELISA 检测试剂盒评估了 PC 生物传感器检测方法的批内和批间变异性、回收率(%)、检测限(LOD)和结合的基质效应。对于 PC 生物传感器,使用 Biomolecular Interaction Detection (BIND) 系统检测了无标记的、与二级抗体(pAb)夹心的以及铁氧化物纳米粒子(FpAb)功能化的 pAb 的信号响应。Bland-Altman 分析用于评估对照血清中预期铁蛋白值与每个检测平台之间的一致性。PC 生物传感器的批内和批间变异性均<10%。两种对照血清样本中铁蛋白的平均回收率(±%RSD)分别为 94.3%(13.1%)和 96.9%(7.6%)。与无标记检测相比,FpAb 在 PC 生物传感器中的使用使检测灵敏度提高了两个数量级,能够检测到低至 26ng/mL 的血清铁蛋白。与 ELISA 检测相比,PC 生物传感器检测法在测定对照血清中的铁蛋白浓度时,偏差最小(-1.26;95%CI[-3.0-5.5]),且一致性界限较窄(-11.6-9.1ng/mL)。这些概念验证研究支持使用 IONPs 来提高 PC 生物传感器检测营养状况生物标志物的检测灵敏度。