Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope

被引:55
|
作者
Chung, Soo [1 ,5 ]
Breshears, Lane E. [2 ]
Gonzales, Alana [2 ]
Jennings, Christian M. [2 ]
Morrison, Christina M. [3 ]
Betancourt, Walter Q. [3 ]
Reynolds, Kelly A. [4 ]
Yoon, Jeong-Yeol [1 ,2 ]
机构
[1] Univ Arizona, Dept Biosyst Engn, Tucson, AZ 85721 USA
[2] Univ Arizona, Dept Biomed Engn, Tucson, AZ 85721 USA
[3] Univ Arizona, Dept Environm Sci, Tucson, AZ USA
[4] Univ Arizona, Mel & Enid Zuckerman Coll Publ Hlth, Tucson, AZ USA
[5] ARS, USDA, Richard Russell Res Ctr, Athens, GA USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/s41596-020-00460-7
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Norovirus is a widespread public health threat and has a very low infectious dose. This protocol presents the extremely sensitive mobile detection of norovirus from water samples using a custom-built smartphone-based fluorescence microscope and a paper microfluidic chip. Antibody-conjugated fluorescent particles are immunoagglutinated and spread over the paper microfluidic chip by capillary action for individual counting using a smartphone-based fluorescence microscope. Smartphone images are analyzed using intensity- and size-based thresholding for the elimination of background noise and autofluorescence as well as for the isolation of immunoagglutinated particles. The resulting pixel counts of particles are correlated with the norovirus concentration of the tested sample. This protocol provides detailed guidelines for the construction and optimization of the smartphone- and paper-based assay. In addition, a 3D-printed enclosure is presented to incorporate all components in a dark environment. On-chip concentration and the assay of higher concentrations are presented to further broaden the assay range. This method is the first to be presented as a highly sensitive mobile platform for norovirus detection using low-cost materials. With all materials and reagents prepared, a single standard assay takes under 20 min. Although the method described is used for detection of norovirus, the same protocol could be adapted for detection of other pathogens by using different antibodies.
引用
收藏
页码:1452 / 1475
页数:24
相关论文
共 49 条
  • [21] Molecular imprinting of cellulose cotton fabric/silica materials with a colorimetric dithizone chelation for smartphone-based detection of Zn (II) ions in water samples
    Chheang, Lita
    Sriwiriyarat, Tongchai
    Thanasupsin, Sudtida Pliankarom
    Thongkon, Nisakorn
    COLORATION TECHNOLOGY, 2024, 140 (04) : 637 - 652
  • [22] Highly sensitive and selective fluorescence and smartphone-based sensor for detection of L-dopa using nitrogen sulphur graphene quantum dots
    Duhan, Jyoti
    Obrai, Sangeeta
    MICROCHEMICAL JOURNAL, 2023, 193
  • [23] Smartphone-based colorimetric paper chip sensor using single-atom nanozyme for the detection of carbofuran pesticide residues in vegetables
    Zhang, Lifan
    Lang, Ziyue
    Lu, Bozhi
    Yang, Tinglan
    Zhang, Xinyi
    Wang, Muxue
    Zhang, Xiaomei
    Cao, Hongmei
    Ye, Daixin
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2025, 327
  • [24] Combination of headspace single-drop microextraction with smartphone-based on-drop colorimetric detection for determination of ammonia and total nitrogen in environmental and food samples
    Jahangard, Sahar
    Jahangard, Sepideh
    Saraji, Mohammad
    MICROCHEMICAL JOURNAL, 2024, 199
  • [25] Highly Sensitive and Selective Fluorescence and Smartphone-Based Sensor for Detection of Rutin Using Boron Nitrogen Co-doped Graphene Quantum Dots
    Kumar, Himanshu
    Duhan, Jyoti
    Obrai, Sangeeta
    JOURNAL OF FLUORESCENCE, 2024,
  • [26] A colorimetric smartphone-based platform for pesticides detection using Fe-N/C single-atom nanozyme as oxidase mimetics
    Ge, Jia
    Yang, Like
    Li, Zhaohui
    Wan, Yi
    Mao, Dongsheng
    Deng, Ruijie
    Zhou, Qi
    Yang, Yu
    Tan, Weihong
    JOURNAL OF HAZARDOUS MATERIALS, 2022, 436
  • [27] Simultaneous detection of trace protein biomarkers from a single drop of blood using AI-enhanced smartphone-based digital microscopy
    Roy, Biswadeep
    Maikap, Abhisek
    Das, Soumen
    Chakraborty, Suman
    BIOSENSORS & BIOELECTRONICS, 2025, 276
  • [28] Immuno-chromatic probe based lateral flow assay for point-of-care detection of Japanese encephalitis virus NS1 protein biomarker in clinical samples using a smartphone-based approach
    Roberts, Akanksha
    Prakashan, Drishya
    Dhanze, Himani
    Gandham, Ravi Kumar
    Gandhi, Sonu
    Sharma, G. Taru
    NANOSCALE ADVANCES, 2022, 4 (18): : 3966 - 3977
  • [29] Rapid and selective detection of Fe (III) by using a smartphone-based device as a portable detector and hydroxyl functionalized metal-organic frameworks as the fluorescence probe
    Zhao, Yuting
    Ouyang, Hui
    Feng, Shuo
    Luo, Yanan
    Shi, Qiurong
    Zhu, Chengzhou
    Chang, Yu-Chung
    Li, Lei
    Du, Dan
    Yang, Haipeng
    ANALYTICA CHIMICA ACTA, 2019, 1077 : 160 - 166
  • [30] A paper-based colorimetric sensor using Au/Ag nanocages for sensitive detection of hydrazine in water samples by smartphone
    Aliakbarpour, Saeid
    Amjadi, Mohammad
    Hallaj, Tooba
    MICROCHEMICAL JOURNAL, 2024, 201