Jin Xin-Yu, Chen Le-Yuan, Liu Ya-Nna, Xie Wen-Jing, Peng Han-Yong
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Se Pu. 2025 Jan;43(1):87-95. doi: 10.3724/SP.J.1123.2024.06009.
17-Estradiol (E2) is a natural steroidal estrogen essential for a variety of physiological functions in organisms. However, external E2, which is renowned for its potent biological effects, is also considered to be an endocrine-disrupting compound (EDC) capable of disturbing the normal operation of the endocrine system, even at nanogram-per-liter (ng/L) concentrations. Studies have revealed that medical and livestock wastewater can be contaminated with E2, which poses potential risks to human health. Currently, the primary method for detecting E2 relies on liquid chromatography-mass spectrometry, which is limited with regard to on-site or large-scale sample testing due to instrumental constraints. Herein, we developed a magnetic graphene oxide (MGO)/aptamer separating material. The MGO was synthesized by creating a water-in-oil microemulsion at 90 ℃, an agarose hydrogel to load the FeO nanoparticles, and layered graphene oxide (GO). In contrast to conventional methods, such as chemical co-precipitation and solvothermal approaches, this method is more time-efficient and does not require high temperature or pressure. Moreover, the use of a physical encapsulation technique for enwrapping the FeO nanoparticles and layered GO eliminates the need for chemical modification. This approach reduces the use of harmful chemicals, ensures complete loading, and results in highly efficient encapsulation. The MGO was characterized using Fourier-transform infrared (FT-IR) spectroscopy and transmission electron microscopy (TEM), as well as dynamic light scattering (DLS) and Zeta potential analyses, which revealed that the FeO nanoparticles had been successfully loaded onto the GO to produce MGO particles mainly around 5 μm in size. Additionally, this study demonstrated that the aqueous MGO dispersion is highly stable. This substance was used to develop a fluorescent biosensor that uses a "turn-on" mechanism to rapidly and highly sensitively detect E2. MGO is capable of adsorbing a fluorescently labeled E2 aptamer (FAM-Apt) in solution, resulting in fluorescence quenching through fluorescence resonance energy transfer (FRET) between the fluorescent group and graphene. However, E2 preferentially binds to FAM-Apt, resulting in the FAM-Apt separating from the MGO in the presence of E2, thereby restoring fluorescence. The developed biosensor exhibits a robust linear correlation between relative fluorescence intensity and E2 mass concentration in the 1-1000 ng/mL range, and boasts a low detection threshold of 1 ng/mL. The use of MGO as an absorbent and fluorescence quencher led to an E2-detection limit that is two orders of magnitude lower than that of a GO-based sensor. This biosensor also outperforms other aptamer-based systems in terms of detection time, linear range, and sensitivity; it also demonstrates remarkable resilience toward various interfering ions and exhibits strong selectivity among structurally similar estrogen analogs. A range of ions commonly present in water samples were introduced into the reaction system at specific concentrations to gauge the impact of interfering ions on sensor performance. With the exception of Fe ions at 0.3 mg/L, which led to a lower fluorescence intensity, interfering ions were found to exhibit minimal effects. Biosensor specificity and selectivity were further scrutinized by introducing four estrogenic disruptors, including estriol (E3), 17-ethynylestradiol (EE2), estrone (E1), and bisphenol A (BPA), each at a mass concentration of 1 μg/mL under the same reaction conditions used to detect E2. The recovered relative fluorescence-signal values for E1 and E3 were determined to be 33% and 23% that of E2, respectively, while EE2 and BPA hardly elicited any fluorescence signal recovery, thereby highlighting the ability of the biosensor to precisely detect E2 with minimal interference from estrogen analogs. The efficacy of the MGO-FAM-Apt biosensor was subsequently validated by testing river-water samples containing known quantities of added E2, which yielded recoveries of between 91.0% and 110.0%, thereby affirming the reliability of this biosensor for use in practical applications. The developed sensor may be somewhat limited compared to liquid chromatography-high-resolution mass spectrometry in detection limit, but the developed biosensor is cost-effective, detects rapidly, and is capable of simultaneously analyzing multiple samples, making it suitable for on-site or large-scale E2 testing of environmental water samples.
17β-雌二醇(E2)是一种天然甾体雌激素,对生物体的多种生理功能至关重要。然而,以其强大生物效应而闻名的外源性E2,即使在纳克每升(ng/L)浓度下,也被认为是一种能够干扰内分泌系统正常运作的内分泌干扰化合物(EDC)。研究表明,医疗和畜牧废水可能被E2污染,这对人类健康构成潜在风险。目前,检测E2的主要方法依赖于液相色谱 - 质谱联用技术,由于仪器限制,在现场或大规模样本检测方面存在局限性。在此,我们开发了一种磁性氧化石墨烯(MGO)/适配体分离材料。MGO是通过在90℃下制备油包水微乳液、用于负载Fe3O4纳米颗粒的琼脂糖水凝胶以及层状氧化石墨烯(GO)合成的。与传统方法如化学共沉淀法和溶剂热法相比,该方法更省时,且不需要高温或高压。此外,使用物理包封技术包裹Fe3O4纳米颗粒和层状GO无需化学修饰。这种方法减少了有害化学物质的使用,确保了完全负载,并实现了高效包封。使用傅里叶变换红外(FT - IR)光谱、透射电子显微镜(TEM)以及动态光散射(DLS)和Zeta电位分析对MGO进行了表征,结果表明Fe3O4纳米颗粒已成功负载到GO上,生成的MGO颗粒主要尺寸约为5μm。此外,本研究表明MGO在水中的分散体具有高度稳定性。该物质被用于开发一种荧光生物传感器,该传感器采用“开启”机制快速且高度灵敏地检测E2。MGO能够吸附溶液中荧光标记的E2适配体(FAM - Apt),通过荧光基团与石墨烯之间的荧光共振能量转移(FRET)导致荧光猝灭。然而,E2优先与FAM - Apt结合,导致在E2存在下FAM - Apt与MGO分离,从而恢复荧光。所开发的生物传感器在1 - 1000 ng/mL范围内相对荧光强度与E2质量浓度之间呈现出良好的线性相关性,并且具有低至1 ng/mL的检测限。使用MGO作为吸附剂和荧光猝灭剂使得E2的检测限比基于GO的传感器低两个数量级。该生物传感器在检测时间、线性范围和灵敏度方面也优于其他基于适配体的系统;它还对各种干扰离子表现出显著的耐受性,并且在结构相似的雌激素类似物之间表现出很强的选择性。将一系列水样中常见的离子以特定浓度引入反应体系,以评估干扰离子对传感器性能的影响。除了0.3 mg/L的Fe离子导致较低的荧光强度外,发现干扰离子的影响极小。通过在用于检测E2的相同反应条件下引入四种雌激素干扰物,包括雌三醇(E3)、17α-乙炔基雌二醇(EE2)、雌酮(E1)和双酚A(BPA),每种质量浓度为1μg/mL,进一步研究了生物传感器的特异性和选择性。确定E1和E3的相对荧光信号恢复值分别为E2的33%和23%,而EE2和BPA几乎没有引起任何荧光信号恢复,从而突出了该生物传感器能够在雌激素类似物的干扰最小的情况下精确检测E2的能力。随后通过测试含有已知添加量E2的河水样本验证了MGO - FAM - Apt生物传感器的有效性,回收率在91.0%至110.0%之间,从而证实了该生物传感器在实际应用中的可靠性。与液相色谱 - 高分辨率质谱相比,所开发的传感器在检测限方面可能存在一定限制,但所开发的生物传感器具有成本效益、检测速度快且能够同时分析多个样本,适用于环境水样中E2的现场或大规模检测。