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基于新型智能手机检测法的人血清总铁测定

Total Iron Measurement in Human Serum With a Novel Smartphone-Based Assay.

作者信息

Serhan Michael, Jackemeyer David, Long Mindy, Sprowls Mark, Diez Perez Ismael, Maret Wolfgang, Chen Fang, Tao Nongjian, Forzani Erica

机构信息

Arizona State UniversityTempeAZ85287USA.

King's College LondonLondonWC2R 2LSU.K.

出版信息

IEEE J Transl Eng Health Med. 2020 Jun 26;8:2800309. doi: 10.1109/JTEHM.2020.3005308. eCollection 2020.

Abstract

: Abnormally low or high blood iron levels are common health conditions worldwide and can seriously affect an individual's overall well-being. A low-cost point-of-care technology that measures blood iron markers with a goal of both preventing and treating iron-related disorders represents a significant advancement in medical care delivery systems. A novel assay equipped with an accurate, storable, and robust dry sensor strip, as well as a smartphone mount and (iPhone) app is used to measure total iron in human serum. The sensor strip has a vertical flow design and is based on an optimized chemical reaction. The reaction strips iron ions from blood-transport proteins, reduces Fe(III) to Fe(II), and chelates Fe(II) with ferene, with the change indicated by a blue color on the strip. The smartphone mount is robust and controls the light source of the color reading App, which is calibrated to obtain output iron concentration results. The real serum samples are then used to assess iron concentrations from the new assay, and validated through intra-laboratory and inter-laboratory experiments. The intra-laboratory validation uses an optimized iron detection assay with multi-well plate spectrophotometry. The inter-laboratory validation method is performed in a commercial testing facility (LabCorp). : The novel assay with the dry sensor strip and smartphone mount, and App is seen to be sensitive to iron detection with a dynamic range of 50 - [Formula: see text]/dL, sensitivity of 0.00049 a.u/[Formula: see text]/dL, coefficient of variation (CV) of 10.5%, and an estimated detection limit of [Formula: see text]/dL These analytical specifications are useful for predicting iron deficiency and overloads. The optimized reference method has a sensitivity of 0.00093 a.u/[Formula: see text]/dL and CV of 2.2%. The correlation of serum iron concentrations (N = 20) between the optimized reference method and the novel assay renders a slope of 0.95, and a regression coefficient of 0.98, suggesting that the new assay is accurate. Last, a spectrophotometric study of the iron detection reaction kinetics is seen to reveal the reaction order for iron and chelating agent. The new assay is able to provide accurate results in intra- and inter- laboraty validations, and has promising features of both mobility and low-cost manufacturing suitable for global healthcare settings.

摘要

全球范围内,血液中铁含量异常偏低或偏高都是常见的健康问题,会严重影响个人的整体健康状况。一种低成本的即时检测技术,旨在通过测量血液中铁标志物来预防和治疗与铁相关的疾病,这代表了医疗服务系统的一项重大进步。一种新型检测方法配备了精确、可储存且耐用的干式传感器条,以及智能手机支架和(iPhone)应用程序,用于测量人血清中的总铁含量。该传感器条采用垂直流动设计,基于优化的化学反应。该反应从血液运输蛋白中提取铁离子,将Fe(III)还原为Fe(II),并使Fe(II)与菲咯嗪螯合,反应结果通过试纸条上的蓝色变化显示。智能手机支架坚固耐用,可控制颜色读取应用程序的光源,该应用程序经过校准以获取输出铁浓度结果。然后使用实际血清样本评估新检测方法的铁浓度,并通过实验室内和实验室间实验进行验证。实验室内验证采用优化的铁检测方法和多孔板分光光度法。实验室间验证方法在商业检测机构(LabCorp)进行。:这种配备干式传感器条、智能手机支架和应用程序的新型检测方法对铁检测具有较高的灵敏度,动态范围为50 - [公式:见原文]/dL,灵敏度为0.00049 a.u/[公式:见原文]/dL,变异系数(CV)为10.5%,估计检测限为[公式:见原文]/dL。这些分析指标有助于预测缺铁和铁过载情况。优化后的参考方法灵敏度为0.00093 a.u/[公式:见原文]/dL,CV为2.2%。优化后的参考方法与新型检测方法之间血清铁浓度(N = 20)的相关性显示斜率为0.95,回归系数为0.98,表明新检测方法准确可靠。最后,对铁检测反应动力学的分光光度研究揭示了铁和螯合剂的反应级数。新检测方法能够在实验室内和实验室间验证中提供准确结果,并且具有适用于全球医疗保健环境的便携性和低成本制造的良好特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a1b/7433848/5044aaa85bcb/forza1-3005308.jpg

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