Graduate School of Science and Technology, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto 606-8585, Japan.
Graduate School of Environmental and Life Science, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan.
Sensors (Basel). 2017 Jul 15;17(7):1630. doi: 10.3390/s17071630.
A new fluorescent arrayed biosensor has been developed to discriminate species and concentrations of target proteins by using plural different phospholipid liposome species encapsulating fluorescent molecules, utilizing differences in permeation of the fluorescent molecules through the membrane to modulate liposome-target protein interactions. This approach proposes a basically new label-free fluorescent sensor, compared with the common technique of developed fluorescent array sensors with labeling. We have confirmed a high output intensity of fluorescence emission related to characteristics of the fluorescent molecules dependent on their concentrations when they leak from inside the liposomes through the perturbed lipid membrane. After taking an array image of the fluorescence emission from the sensor using a CMOS imager, the output intensities of the fluorescence were analyzed by a principal component analysis (PCA) statistical method. It is found from PCA plots that different protein species with several concentrations were successfully discriminated by using the different lipid membranes with high cumulative contribution ratio. We also confirmed that the accuracy of the discrimination by the array sensor with a single shot is higher than that of a single sensor with multiple shots.
一种新型荧光阵列生物传感器已经被开发出来，通过使用多种不同的包裹荧光分子的磷脂脂质体来区分目标蛋白的种类和浓度，利用荧光分子通过膜的渗透差异来调节脂质体-目标蛋白的相互作用。与常见的荧光阵列传感器标记技术相比，该方法提出了一种基本的无标记荧光传感器。我们已经证实，当荧光分子从脂质体内部通过扰动的脂质膜泄漏时，其浓度相关的荧光发射强度与荧光分子的特性有关。在使用 CMOS 成像仪对传感器的荧光发射进行阵列成像后，通过主成分分析 (PCA) 统计方法对荧光的输出强度进行分析。从 PCA 图中可以发现，使用不同的脂质膜以获得高累积贡献率，成功地区分了具有几种浓度的不同蛋白质种类。我们还证实，单次拍摄的阵列传感器的区分准确性高于多次拍摄的单个传感器。
