Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031, Aversa, Italy.
CICECO -Aveiro Institute of Materials & Physics Department, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
Sci Rep. 2024 Jun 7;14(1):13117. doi: 10.1038/s41598-024-63870-7.
A surface plasmon resonance (SPR) phenomenon implemented via D-shaped polymer optical fiber (POF) is exploited to realize cortisol biosensors. In this work, two immonosensors are designed and developed for the qualitative as well as quantitative measurement of cortisol in artificial and real samples. The performances of the POF-based biosensors in cortisol recognition are achieved using different functionalization protocols to make the same antibody receptor layer over the SPR surface via cysteamine and lipoic acid, achieving a limit of detection (LOD) of 0.8 pg/mL and 0.2 pg/mL, respectively. More specifically, the use of cysteamine or lipoic acid changes the distance between the receptor layer and the SPR surface, improving the sensitivity at low concentrations of about one order of magnitude in the configuration based on lipoic acid. The LODs of both cortisol biosensors are achieved well competitively with other sensor systems but without the need for amplification or sample treatments. In order to obtain the selectivity tests, cholesterol and testosterone were used as interfering substances. Moreover, tests in simulated seawater were performed for the same cortisol concentration range achieved in buffer solution to assess the immunosensor response to the complex matrix. Finally, the developed cortisol biosensor was used in a real seawater sample to estimate the cortisol concentration value. The gold standard method has confirmed the estimated cortisol concentration value in real seawater samples. Liquid-liquid extraction was implemented to maximize the response of cortisol in liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) analysis.
一种通过 D 型聚合物光纤(POF)实现的表面等离子体共振(SPR)现象被用于实现皮质醇生物传感器。在这项工作中,设计和开发了两种免疫传感器,用于人工和真实样品中皮质醇的定性和定量测量。通过半胱氨酸和硫辛酸在 SPR 表面上形成相同的抗体受体层,实现了基于 POF 的生物传感器在皮质醇识别中的性能,其检测限(LOD)分别为 0.8pg/mL 和 0.2pg/mL。更具体地说,使用半胱氨酸或硫辛酸会改变受体层和 SPR 表面之间的距离,从而在基于硫辛酸的配置中,在低浓度下提高灵敏度约一个数量级。两种皮质醇生物传感器的 LOD 都与其他传感器系统竞争良好,但无需放大或样品处理。为了获得选择性测试,使用胆固醇和睾酮作为干扰物质。此外,还在缓冲溶液中实现的相同皮质醇浓度范围内进行了模拟海水测试,以评估免疫传感器对复杂基质的响应。最后,开发的皮质醇生物传感器用于真实海水样品中,以估计皮质醇浓度值。金标准方法证实了真实海水样品中估计的皮质醇浓度值。实施液-液萃取以最大限度地提高皮质醇在液相色谱-串联质谱(LC-MS/MS)分析中的响应。