Upconversion fluorescence immunochromatographic assay for highly sensitive and rapid detection of ovarian function indicators: follicle-stimulating hormone and anti-Müllerian hormone†
Jianfeng Yao, Ming Li, Rongfu Huang, Yanting Wang, Liang Song, Liying Chen and Zhenzhu Zheng
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引用次数: 0
Abstract
The assessment of ovarian function is crucial for female reproductive health, assisted reproduction, and the early detection of gynecological diseases. Follicle-stimulating hormone (FSH) and anti-Müllerian hormone (AMH), two key markers of ovarian function, are essential for accurate evaluations that guide clinical decision-making. However, conventional detection techniques, such as ELISA, face limitations including low sensitivity, poor specificity, and prolonged detection times. To overcome these challenges, we developed an upconversion fluorescence immunochromatographic assay for highly sensitive and rapid detection of FSH and AMH. This method harnesses the unique properties of upconversion luminescence to minimize interference from background fluorescence, enabling swift and precise detection. The assay achieves detection within 15 min, with established limits of 0.097 ng mL−1 for FSH and 0.018 ng mL−1 for AMH. Moreover, it demonstrated remarkable performance in serum sample testing, yielding a recovery range of 92.56–97.80%, with coefficients of variation below 10%. Additionally, the assay offers qualitative visual analysis using upconversion green fluorescence, meeting the needs of both clinicians and home-based patient assessments. In summary, the method we developed provides robust technical support for clinical ovarian function assessments.
卵巢功能的评估对女性生殖健康、辅助生殖和妇科疾病的早期发现至关重要。促卵泡激素(FSH)和抗勒氏激素(AMH)是卵巢功能的两个关键指标,对准确评估指导临床决策至关重要。然而,传统的检测技术,如ELISA,面临着灵敏度低、特异性差、检测时间长等局限性。为了克服这些挑战,我们开发了一种上转换荧光免疫层析法,用于高灵敏度和快速检测FSH和AMH。该方法利用上转换发光的独特特性,最大限度地减少背景荧光的干扰,从而实现快速和精确的检测。该方法可在15分钟内完成检测,FSH和AMH的检测下限分别为0.097 ng mL-1和0.018 ng mL-1。该方法在血清样品检测中表现出良好的性能,回收率为92.56 ~ 97.80%,变异系数小于10%。此外,该检测方法使用上转换绿色荧光提供定性视觉分析,满足临床医生和家庭患者评估的需求。总之,我们开发的方法为临床卵巢功能评估提供了强有力的技术支持。