验证雅培 Alinity ci® 血清叶酸分析仪的分析性能

Zaïnab Kajeiou, Issam Mokhtari, Loubna Yacoubi, Amina Himri, Dounia El Moujtahide, El houcine Sebbar, Mohammed Choukri
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引用次数: 0

摘要

在不断发展的临床诊断领域,叶酸的重要性占据了中心位置,因为精确性和创新性决定了分析方法的进步。叶酸是细胞新陈代谢的关键元素,控制着生理过程,也是各种疾病的指标。这项研究采用了以准确性著称的化学发光微粒子免疫分析法(CMIA)来评估血清叶酸水平的重现性和可重复性。叶酸在细胞代谢中的作用影响着多种生理功能,因此精确定量叶酸对识别和监测叶酸缺乏症等情况至关重要。CMIA 方法是一种稳健的方法,利用免疫特异性实现高精度和高可靠性。利用雅培 Alinity ci® 分析仪(一种技术先进的临床化学仪器),本研究采用了系统的分析方法验证程序。这包括通过标准化协议进行量化,并根据权威协会(RICOS 和 FSCB)制定的标准进行比较分析,确保对分析技术有全面的了解。可重复性测试评估了各种因素对检测结果的影响,结果显示不同水平的变异系数(CV)值较低(CV1:10.25%;CV2:8.58%;CV3:9.13%)。结果与质量控制限一致,强调了该方法的可靠性。重复性评估显示出极低的 CV 值(CV1: 4.84%,CV2: 3.41%,CV3: 1.89%),突出了该方法在受控条件下的稳定性和精确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Verification of the analytical performance of the serum Folate assay on the Abbott Alinity ci®
In the evolving landscape of clinical diagnostics, the significance of folate takes center stage as precision and innovation shape advancements in analytical methodologies. Folate, a pivotal element in cellular metabolism, governs physiological processes and serves as an indicator for various medical conditions. This study employs the Chemiluminescent Microparticle Immunoassay (CMIA), known for its accuracy, to assess the reproducibility and repeatability of serum folate levels. Folate's role in cellular metabolism influences diverse physiological functions, making its precise quantification crucial for identifying and monitoring conditions such as folate deficiency. The CMIA method emerges as a robust approach, leveraging immunological specificity for high precision and reliability. Utilizing the Abbott Alinity ci® Analyzer, a technologically advanced clinical chemistry instrument, this study incorporates a systematic analytical method verification procedure. This involves quantification through a standardized protocol and a comparative analysis against criteria set by esteemed societies (RICOS and FSCB), ensuring comprehensive insights into analysis techniques. The reproducibility test, evaluating the impact of various factors on assay results, reveals low Coefficient of Variation (CV) values (CV1: 10.25%, CV2: 8.58%, CV3: 9.13%) across different levels. The results align with quality control limits, emphasizing the method's reliability. Repeatability assessment demonstrates exceptionally low CV values (CV1: 4.84%, CV2: 3.41%, CV3: 1.89%), highlighting the method's stability and precision under controlled conditions.
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