Lin Chenwen, Du Zijian, Tao Nongjian, Wang Di
Biodesign Center for Bioelectronics and Biosensors, Arizona State University, Tempe, Arizona 85287, United States.
Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou 311100, China.
ACS Sens. 2021 Feb 26;6(2):439-442. doi: 10.1021/acssensors.0c01971. Epub 2020 Dec 17.
Colorimetry is widely used in chemical sensing due to its high sensitivity and high selectivity. However, most colorimetric sensors are one-time use because the color-producing reactions or bindings are usually irreversible. In addition, traditional colorimetric sensors like the detection tubes are bulky and packed individually, making parallel sensing of multiple analytes difficult. Here, we demonstrate a gradient-based colorimetric array sensor (GCAS) to overcome these limitations. Different colorimetric sensing elements are inkjet-printed as parallel straight lines on a porous substrate. Lateral transport of analytes across the substrate creates color gradients on the sensing elements. The color gradients shift along the transport direction over time, and GCAS tracks the gradient shifts and converts them into analyte concentrations in real time. Using a low-cost complementary metal-oxide semiconductor imager, we show detection of three air pollutants using a single GCAS chip and 24 h continuous monitoring of ambient ozone.
比色法因其高灵敏度和高选择性而在化学传感中得到广泛应用。然而,大多数比色传感器是一次性使用的,因为显色反应或结合通常是不可逆的。此外,传统的比色传感器,如检测管,体积庞大且单独包装,使得对多种分析物进行并行传感变得困难。在此,我们展示了一种基于梯度的比色阵列传感器(GCAS)来克服这些限制。不同的比色传感元件以平行直线的形式喷墨打印在多孔基板上。分析物在基板上的横向传输在传感元件上产生颜色梯度。颜色梯度会随着时间沿传输方向移动,而GCAS会跟踪梯度变化并实时将其转换为分析物浓度。使用低成本的互补金属氧化物半导体成像仪,我们展示了使用单个GCAS芯片检测三种空气污染物以及对环境臭氧进行24小时连续监测的情况。