Multifunctional 3D-printed platform integrated with a smartphone ambient light sensor for halocarbon contaminants monitoring

被引:14
作者
Gul, Ijaz [1 ,5 ]
Aer, Lizhu [1 ]
Zhang, Min [1 ]
Jiang, Hanjia [1 ]
Khan, Abdullah Aman [2 ]
Bilal, Muhammad [3 ]
Fang, Ruiqing [1 ]
Feng, Juan [1 ]
Zeng, Hongjuan [1 ]
Tang, Lixia [1 ,4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, 4,Sect 2,North Jianshe Rd, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
[3] Huaiyin Inst Technol, Sch Life Sci & Food Engn, Huaian, Peoples R China
[4] Univ Elect Sci & Technol China, Ctr Informat Biol, Chengdu 610054, Peoples R China
[5] Tsinghua Shenzhen Int Grad Sch, Inst Biopharmaceut & Hlth Engn, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Smartphone; 3D-printing; Ambient light sensor; Halohydrin dehalogenase; Halogenated compounds; POINT;
D O I
10.1016/j.eti.2021.101883
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
3D-printed platforms integrated with smartphone light sensors have become a powerful tool for the development of frugal and facile biosensing systems. Herein, we report a 3D-printed platform for multimodal analysis (3D-PMA) based on a smartphone ambient light sensor (ALS). The proposed approach was first validated using a microtiter plate reader, and then its application potential was demonstrated by measuring halohydrin dehalogenase activities employing three different sample modes, viz. using enzyme-linked immunosorbent assay (ELISA) plate strips, cuvettes, and the glass fiber membrane as sample containers. For real-sample analysis, 1,3-dichloro-2-propanol (1,3-DCP), a toxic halogenated compound, was successfully detected in spiked river water samples with recoveries in the range of 101.95-109.70%. After demonstrating the suitability for liquid-phase assays, the 3D-PMA was also optimized for 1,3-DCP detection using a glass fiber membrane. The detection could be done using a 10 mu L reaction system with an assay time of 2 min. The assay showed two linear ranges. The calibration equation of Y = 81.687x + 140.060 was obtained from the lower part of the calibration curve and was used to calculate the detection limit of the system. Under optimized conditions, a detection limit of 80 mu M was achieved for 1,3-DCP. The small size of the device endows it with great promise for use as a benchtop and an on-demand detection system. The proposed low-cost and portable system has great potential for the (bio) sensing of different biological and environmental samples where biocomponent-analyte interaction leads to a color change of the reaction system, indicating its applicability in resource-constrained settings. (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:12
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