Smartphone-assisted robust enzymes@MOFs-based paper biosensor for point-of-care detection

Smartphone-assisted robust enzymes@MOFs-based paper biosensor for point-of-care detection
复制标题

智能手机辅助的基于MOFs的强大酶@MOFs纸质生物传感器用于即时检测

DOI:
10.1016/j.bios.2020.112095
复制
发表时间:
2020-05-15
影响因子:
12.6
通讯作者:
Ouyang, Gangfeng
Ouyang, Gangfeng
中科院分区:
工程技术1区
文献类型:
--
作者:
Kou, Xiaoxue;Tong, Linjing;Ouyang, Gangfeng

文献摘要

被引文献

相似文献

具有快速分析和负担得起的临床诊断方法的便携式设备刺激了护理点(POC)技术的快速发展,可能降低死亡率。在本文中,我们展示了一种便携式,鲁棒性和用户友好的智能金属有机框架(MOFs)纸设备,称为智能手机辅助仿生MOFs纳米反应器比色纸(SBMCP),用于内源性生物分子的按需POC检测。该论文平台的概念类似于细胞内级联信号转导,其中被捕获在ZIF-8外骨架内的单个/多个酶组分允许通过ZIF-8的可接近的微孔网络敏感地和选择性地识别目标分析物,然后基于级联反应将识别事件转移到视觉颜色信号。同时,ZIF-8外骨骼也赋予酶显着提高的稳定性。因此,这种强大的便携式SBMCP传感器通过调节酶级联,结合定制设计的智能手机应用程序进行信号读出,从而实现了对不同重要疾病相关生物分子的现场分析。该方法不需要复杂的仪器和专业技术,仅需5 μ L的样品体积,整个分析过程可在便携式MOFs试纸和普及的智能手机上完成,具有成本低、省时、易用等优点。我们证明了这种SBMCP传感器能够实时比色检测糖尿病和痛风事件中的葡萄糖和尿酸。据信,本文提出的这种便携式生物传感器平台可能代表POC诊断的有前景的替代方案,特别适用于发展中国家和资源有限的环境。
Portable devices featured with fast analysis and affordable methodologies for clinical diagnostics have stimulated the rapid development of point-of-care (POC) technologies, potentially lowering the mortality rate. Herein, we demonstrated a portable, robust, and user-friendly intelligent metal-organic frameworks (MOFs) paper device, called smartphone-assisted biomimetic MOFs nanoreactor colorimetric paper (SBMCP), for on-demand POC detection of endogenous biomolecules. The concept of this paper platform was analogous to the intracellular cascades signal transduction, wherein the single/multiple enzymes components trapped within a ZIF-8 exoskeleton allowed the sensitive and selective recognition of target analyte via the accessible micropores network of ZIF-8, and then transferred the recognition event to a visual color signal based on the cascade reaction. Meanwhile, the ZIF-8 exoskeleton also endowed the enzymes with significantly elevated stability. As a result, this robust and portable SBMCP sensor enabled the on-site analysis of different important disease-related biomolecules through modulating the enzyme cascades, combining with a custom-designed smartphone application for signal readout. In the SBMCP assay, no sophisticated instruments or professional skill of the user was required, only 5 mu L sample volume was needed, and the whole analysis process could be achieved within a portable MOFs paper and pervasive smartphone, endowing this new assay with the merits of low-cost, time-saving and easy-to-use. We demonstrated this SBMCP sensor was capable of real-time colorimetric detection of glucose and uric acid in diabetes and gout events. It is believed that this portable biosensor platform proposed herein potentially represents promising alternatives for POC diagnosis, especially applicable in developing world and resource-limited settings.