The Biomimicry for Sustainable Agriculture, Health, Environment and Energy Research Unit, Department of Physics, Faculty of Science, Mahasarakham University, Kantarawichai District, Maha Sarakham 44150, Thailand.
Department of Biology, Faculty of Science, Mahasarakham University, Kantarawichai District, Maha Sarakham 44150, Thailand.
Biosensors (Basel). 2023 May 12;13(5):541. doi: 10.3390/bios13050541.
The global issue of pollution caused by endocrine-disrupting chemicals (EDCs) has been gaining increasing attention. Among the EDCs of environmental concern, 17β-estradiol (E2) can produce the strongest estrogenic effects when it enters the organism exogenously through various routes and has the potential to cause harm, including malfunctions of the endocrine system and development of growth and reproductive disorders in humans and animals. Additionally, in humans, supraphysiological levels of E2 have been associated with a range of E2-dependent disorders and cancers. To ensure environmental safety and prevent potential risks of E2 to human and animal health, it is crucial to develop rapid, sensitive, low cost and simple approaches for detecting E2 contamination in the environment. A planar microwave sensor for E2 sensing is presented based on the integration of a microstrip transmission line (TL) loaded with a Peano fractal geometry with a narrow slot complementary split-ring resonator (PF-NSCSRR) and a microfluidic channel. The proposed technique offers a wide linear range for detecting E2, ranging from 0.001 to 10 mM, and can achieve high sensitivity with small sample volumes and simple operation methods. The proposed microwave sensor was validated through simulations and empirical measurements within a frequency range of 0.5-3.5 GHz. The E2 solution was delivered to the sensitive area of the sensor device via a microfluidic polydimethylsiloxane (PDMS) channel with an area of 2.7 mm and sample value of 1.37 µL and measured by a proposed sensor. The injection of E2 into the channel resulted in changes in the transmission coefficient (S) and resonance frequency (F), which can be used as an indicator of E levels in solution. The maximum quality factor of 114.89 and the maximum sensitivity based on S and F at a concentration of 0.01 mM were 1746.98 dB/mM and 40 GHz/mM, respectively. Upon comparing the proposed sensor with the original Peano fractal geometry with complementary split-ring (PF-CSRR) sensors without a narrow slot, several parameters were evaluated, including sensitivity, quality factor, operating frequency, active area, and sample volume. The results showed that the proposed sensor exhibited an increased sensitivity of 6.08% and had a 40.72% higher quality factor, while the operating frequency, active area, and sample volume showed decreases of 1.71%, 25%, and 28.27%, respectively. The materials under tests (MUTs) were analyzed and categorized into groups using principal component analysis (PCA) with a K-mean clustering algorithm. The proposed E2 sensor has a compact size and simple structure that can be easily fabricated with low-cost materials. With the small sample volume requirement, fast measurement with a wide dynamic range, and a simple protocol, this proposed sensor can also be applied to measure high E2 levels in environmental, human, and animal samples.
内分泌干扰物(EDCs)引起的全球性污染问题日益受到关注。在环境关注的 EDC 中,17β-雌二醇(E2)通过各种途径进入机体时会产生最强的雌激素效应,并有潜在的危害,包括内分泌系统功能障碍以及人类和动物生长和生殖功能障碍的发展。此外,在人类中,超生理水平的 E2 与一系列依赖于 E2 的疾病和癌症有关。为了确保环境安全并防止 E2 对人类和动物健康的潜在风险,开发用于检测环境中 E2 污染的快速、灵敏、低成本和简单方法至关重要。本文提出了一种基于微带传输线(TL)与具有窄槽互补分裂环谐振器(PF-NSCSRR)的 Peano 分形几何结构集成的 E2 传感平面微波传感器,以及微流通道。所提出的技术提供了一个用于检测 E2 的宽线性范围,从 0.001 到 10 mM,并且可以通过小样本量和简单的操作方法实现高灵敏度。在所提出的微波传感器的验证过程中,通过模拟和在 0.5-3.5 GHz 的频率范围内进行的实验测量进行了验证。通过具有 2.7 mm 面积和 1.37 μL 样品值的微流道 PDMS 通道将 E2 溶液输送到传感器装置的敏感区域,并通过提出的传感器进行测量。将 E2 注入通道会导致传输系数(S)和共振频率(F)的变化,这可以用作溶液中 E 水平的指示。在 0.01 mM 浓度下,基于 S 和 F 的最大品质因数和最大灵敏度分别为 1746.98 dB/mM 和 40 GHz/mM。通过将所提出的传感器与没有窄槽的原始 Peano 分形几何结构互补环形(PF-CSRR)传感器进行比较,评估了几个参数,包括灵敏度、品质因数、工作频率、有效面积和样本量。结果表明,所提出的传感器的灵敏度提高了 6.08%,品质因数提高了 40.72%,而工作频率、有效面积和样本量分别降低了 1.71%、25%和 28.27%。使用 K-均值聚类算法的主成分分析(PCA)对测试材料(MUTs)进行了分析和分类。所提出的 E2 传感器具有紧凑的尺寸和简单的结构,可以用低成本材料轻松制造。由于需要小样本量、具有宽动态范围的快速测量以及简单的协议,因此该传感器还可以应用于测量环境、人类和动物样本中的高 E2 水平。