Yang Sen, Wang Yanxiong, Jiang Yanfeng, Qiang Tian
School of Integrated Circuits, Jiangnan University, Wuxi 214122, China.
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China.
Biosensors (Basel). 2025 Jan 13;15(1):45. doi: 10.3390/bios15010045.
In this work, an integrated microfluidic microwave array sensor is proposed for the enrichment and detection of mixed biological solution. In individuals with urinary tract infections or intestinal health issues, the levels of white blood cells (WBCs) and () in urine or intestinal extracts can be significantly elevated compared to normal. The proposed integrated chip, characterized by its low cost, simplicity of operation, fast response, and high accuracy, is designed to detect a mixed solution of WBCs and . The results demonstrate that microfluidics could effectively enrich WBCs with an efficiency of 88.3%. For WBC detection, the resonance frequency of the sensing chip decreases with increasing concentration, while for detection, the capacitance value of the sensing chip increases with elevated concentration. Furthermore, the measurement data are processed using machine learning. Specifically, the WBC measurement data are subjected to a further linear fitting. In addition, the prediction model for concentration, employing four different algorithms, achieves a maximum accuracy of 95.24%. Consequently, the proposed integrated chip can be employed for the clinical diagnosis of WBCs and , providing a novel approach for medical and biological research involving cells and bacteria.
在这项工作中，提出了一种集成微流控微波阵列传感器，用于富集和检测混合生物溶液。在患有尿路感染或肠道健康问题的个体中，尿液或肠道提取物中的白细胞（WBCs）和（此处原文缺失内容）水平相比正常情况会显著升高。所提出的集成芯片具有低成本、操作简单、响应快和高精度的特点，旨在检测白细胞和（此处原文缺失内容）的混合溶液。结果表明，微流控技术能够以88.3%的效率有效富集白细胞。对于白细胞检测，传感芯片的共振频率随浓度增加而降低，而对于（此处原文缺失内容）检测，传感芯片的电容值随浓度升高而增加。此外，使用机器学习对测量数据进行处理。具体而言，对白细胞测量数据进行进一步的线性拟合。另外，采用四种不同算法的（此处原文缺失内容）浓度预测模型，最高准确率达到95.24%。因此，所提出的集成芯片可用于白细胞和（此处原文缺失内容）的临床诊断，为涉及细胞和细菌的医学和生物学研究提供了一种新方法。
