人体炎症反应快速、灵敏的指标是C反应蛋白（CRP）。 CRP 水平的测定在医学诊断中很重要，因为根据该因素，它可以指示例如各种来源的炎症、肿瘤、心血管、细菌或病毒事件的发生。在这项研究中，我们描述了一种能够检测 CRP 水平的干涉传感器，以区分无炎症和炎症状态。测量头由单模光纤制成，尖端具有微球结构。其表面经过生物功能化处理，可实现特定的 CRP 结合。标准化 CRP 溶液的测量范围为 1.9 µg/L 至 333 mg/L，并在研究的初始阶段进行分类。然后对从诊断为尿路感染或尿脓毒症的住院患者获得的真实样本进行了研究。测试了 27 个机器学习分类器，将模型样本标记为正常或高 CRP 水平。通过使用 ExtraTreesClassifier，我们获得了验证数据集 95% 的准确率。使用 XGB 分类器的验证数据集的真实样本分类结果显示准确率高达 100%。© 2024。作者。

The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation of various origins, oncological, cardiovascular, bacterial or viral events. In this study, we describe an interferometric sensor able to detect the CRP level for distinguishing between no-inflammation and inflammation states. The measurement head was made of a single mode optical fiber with a microsphere structure created at the tip. Its surface has been biofunctionalized for specific CRP bonding. Standardized CRP solutions were measured in the range of 1.9 µg/L to 333 mg/L and classified in the initial phase of the study. The real samples obtained from hospitalized patients with diagnosed Urinary Tract Infection or Urosepsis were then investigated. 27 machine learning classifiers were tested for labeling the phantom samples as normal or high CRP levels. With the use of the ExtraTreesClassifier we obtained an accuracy of 95% for the validation dataset. The results of real samples classification showed up to 100% accuracy for the validation dataset using XGB classifier.© 2024. The Author(s).