Padigi Sudhaprasanna Kumar, Reddy Ravi Kiran Kondama, Prasad Shalini
Electrical and Computer Engineering, Portland State University, Portland, OR 97201, USA.
Biosens Bioelectron. 2007 Jan 15;22(6):829-37. doi: 10.1016/j.bios.2006.02.023. Epub 2006 Apr 25.
A hybrid multi-walled carbon nanotube (MWCNT) based chemical sensor was designed and developed by integration of microfabrication techniques with nano-assembly. This integrated sensing mechanism on a chip, comprised of thiol functionalized MWCNTs that functioned as transducers which were integrated with micro-electrode array measurement sites. The detection of the four fundamental hydrocarbons belonging to the aliphatic hydrocarbon family--methanol, ethanol, propanol and butanol was experimentally demonstrated. High degree of selectivity was demonstrated by repeated robust identification of individual hydro carbons belonging to the same family. The sensor demonstrated 1 ppm detection sensitivity. The detection mechanism was based on nano-scale transduction of the detection of the localized binding event between the functional binding sites and the chemical species of interest. Specific electrical signatures for each of these chemicals were identified using multiple levels of data analysis comprising of Fast Fourier Transformation (FFT) and Power Spectral Density (PSD). The sensor demonstrated a rapid response time with portability, accuracy and versatility for the in situ detection of multiple chemical agents, with potential for automation.
通过将微加工技术与纳米组装相结合，设计并开发了一种基于混合多壁碳纳米管（MWCNT）的化学传感器。这种芯片上的集成传感机制由硫醇功能化的多壁碳纳米管组成，这些多壁碳纳米管作为换能器，与微电极阵列测量位点集成在一起。通过实验证明了对属于脂肪烃家族的四种基本碳氢化合物——甲醇、乙醇、丙醇和丁醇的检测。通过对属于同一家族的单个碳氢化合物进行反复可靠的识别，证明了高度的选择性。该传感器显示出1 ppm的检测灵敏度。检测机制基于对功能结合位点与目标化学物质之间局部结合事件检测的纳米级转换。使用包括快速傅里叶变换（FFT）和功率谱密度（PSD）在内的多层次数据分析，确定了每种化学物质的特定电信号特征。该传感器展示了快速的响应时间，具有便携性、准确性和通用性，可用于多种化学试剂的原位检测，并具有自动化潜力。
