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Modeling and Analysis of High-Performance Triple Hole Block Layer Organic LED Based Light Sensor for Detection of Ovarian Cancer
IEEE Transactions on Circuits and Systems I: Regular Papers ( IF 5.2 ) Pub Date : 2021-05-19 , DOI: 10.1109/tcsi.2021.3078510
Shubham Negi , Poornima Mittal , Brijesh Kumar

In this paper a novel triple hole block layer (HBL) structure of the OLED is proposed that depicts an enhanced luminescence of 25285 cd/m2 with an improvement of 47% over multilayered OLED architecture. It also owes 74% improvement in luminous power efficiency. An in-depth numerical analysis based on Poisson and drift diffusion equation is undertaken and validated against the internal device analysis. The analysis results highlight an enhanced recombination rate within the proposed device. High electron injection and efficient hole blocking contributes to improved recombination rate. Triple HBL OLED is therefore used for diagnosis of ovarian cancer. The device illustrated good response towards varying wavelengths generating a maximum photo current value of 93 mA. A healthy person can be differentiated from an oncological cancer patient based on fluorescence produced by their urine. The fluorescence values for healthy person and oncological cancer patient are in the range of 420 and 440 nm, correspondingly. The cathode current produced by OLED corresponding to these two wavelengths are 5 and 1 mA respectively. Hence, the proposed device can successfully diagnose the ovarian cancer patient. Further, the methodology proposed for diagnosis of ovarian cancer can help in developing a portable, flexible low cost biomedical sensor.

中文翻译:


用于卵巢癌检测的基于高性能三孔块层有机 LED 光传感器的建模和分析



本文提出了一种新型的 OLED 三空穴阻挡层 (HBL) 结构,其发光强度达到 25285 cd/m2,比多层 OLED 结构提高了 47%。它还将发光效率提高了 74%。基于泊松和漂移扩散方程进行了深入的数值分析,并根据内部器件分析进行了验证。分析结果强调了所提出的器件内复合率的提高。高电子注入和有效的空穴阻挡有助于提高复合率。因此,三重 HBL OLED 用于诊断卵巢癌。该器件对不同波长表现出良好的响应,产生 93 mA 的最大光电流值。可以根据尿液产生的荧光来区分健康人与肿瘤癌症患者。健康人和肿瘤患者的荧光值分别在420和440 nm范围内。 OLED对应这两个波长产生的阴极电流分别为5和1mA。因此,所提出的设备可以成功诊断卵巢癌患者。此外,所提出的卵巢癌诊断方法有助于开发便携式、灵活的低成本生物医学传感器。
更新日期:2021-05-19
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