在过去的几十年中,用于诊断的生物传感已经迅速普及。随着新的纳米材料和形貌的发现,灵敏度正在不断提高,足以可靠地检测人类样品中的痕量生物标志物,比如血清或汗液.这种精确度使得能够对生物传感器的功效进行详细的研究。然而,当前的生物传感器遭受降低的操作速度。为了更好地利用这种灵敏度,在原位使用激光发射装置(LED)显示器的电导生物传感器的开发可以提供样品结果的快速测定,稳步推动生物传感器走向更多的临床,护理点(POC)应用程序。在这项研究中,使用简单的LED进行简单的光学测定,并制作超灵敏生物信号放大电路的视觉输出,以与B型利钠肽(BNP)生物传感器接口。调谐电路增益使一个优雅的方法可调的浓度分离为3个离散类别:亚阈值,模拟,和饱和区域。这些区域对应于0<[C]<500pg/mL(25,100,250pg/mL,LED熄灭),500<[C]<1000pg/mL(LED变化强度),和1000pg/mL<[C](LED全强度)。使用匹兹堡大学医学中心患者的人血清样本测试系统功效,能够准确检测和分类,以实现快速低成本和低功耗。无需复杂的数字元素。额外的特异性测试表明非靶标生物标志物的影响不显著。
Biosensing for diagnostics has risen rapidly in popularity over the past decades. With the discovery of new nanomaterials and morphologies, sensitivity is being constantly improved enough for reliable detection of trace biomarkers in human samples, like serum or sweat. This precision has enabled detailed research on the efficacy of biosensors. However, current biosensors suffer from reduced speed of operation. To make better use of this sensitivity, the development of a conductometric biosensor with in-situ use of an Laser Emitting Device (LED) display can provide rapid determination of sample results, steadily pushing biosensors toward more clinical, point-of-care (POC) applications. In this research, a simple LED was used for facile optical determination and visual output of an ultrasensitive bio-signal amplification
circuit was made to interface with a B-type Natriuretic Peptide (BNP) biosensor. Tuning
circuit gain enables an elegant method for adjustable separation of concentrations into 3 discrete categories: sub-threshold, analog, and saturation regions. These regions corresponded to 0 < [C] < 500 pg/mL (25, 100, 250 pg/mL, LED off), 500 < [C] < 1000 pg/mL (LED varying intensity), and 1000 pg/mL < [C] (LED full intensity). System efficacy was tested using human blood serum samples from University of Pittsburgh Medical Center patients, which were able to be accurately detected and sorted for rapid low cost and power. determination without need for complex digital elements. Additional specificity testing suggests insignificant impact of non-target biomarkers.