Literature DB >> 28858468

Real-Time Continuous Identification of Greenhouse Plant Pathogens Based on Recyclable Microfluidic Bioassay System.

Xiangmeng Qu1,2, Min Li2, Hongbo Zhang3, Chenglie Lin4, Fei Wang5, Mingshu Xiao2, Yi Zhou4, Jiye Shi6, Ali Aldalbahi7, Hao Pei2, Hong Chen1, Li Li2.   

Abstract

The development of a real-time continuous analytical platform for the pathogen detection is of great scientific importance for achieving better disease control and prevention. In this work, we report a rapid and recyclable microfluidic bioassay system constructed from oligonucleotide arrays for selective and sensitive continuous identification of DNA targets of fungal pathogens. We employ the thermal denaturation method to effectively regenerate the oligonucleotide arrays for multiple sample detection, which could considerably reduce the screening effort and costs. The combination of thermal denaturation and laser-induced fluorescence detection technique enables real-time continuous identification of multiple samples (<10 min per sample). As a proof of concept, we have demonstrated that two DNA targets of fungal pathogens (Botrytis cinerea and Didymella bryoniae) can be sequentially analyzed using our rapid microfluidic bioassay system, which provides a new paradigm in the design of microfluidic bioassay system and will be valuable for chemical and biomedical analysis.

Entities:  

Keywords:  DNA; greenhouse plant pathogens; hybridization; microchannel; multiple samples detection; real time

Mesh:

Year:  2017        PMID: 28858468     DOI: 10.1021/acsami.7b10116

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  3 in total

1.  Smartphone based on-chip fluorescence imaging and capillary flow velocity measurement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip.

Authors:  Tiffany-Heather Ulep; Ryan Zenhausern; Alana Gonzales; David S Knoff; Paula A Lengerke Diaz; Januario E Castro; Jeong-Yeol Yoon
Journal:  Biosens Bioelectron       Date:  2020-01-22       Impact factor: 10.618

2.  2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification.

Authors:  Zhijun Li; Yizhou Jiang; Shihuan Tang; Haixia Zou; Wentao Wang; Guangpei Qi; Hongbo Zhang; Kun Jin; Yuhe Wang; Hong Chen; Liyuan Zhang; Xiangmeng Qu
Journal:  Mikrochim Acta       Date:  2022-07-06       Impact factor: 6.408

Review 3.  Advances in Plant Disease Detection and Monitoring: From Traditional Assays to In-Field Diagnostics.

Authors:  Ilaria Buja; Erika Sabella; Anna Grazia Monteduro; Maria Serena Chiriacò; Luigi De Bellis; Andrea Luvisi; Giuseppe Maruccio
Journal:  Sensors (Basel)       Date:  2021-03-18       Impact factor: 3.576

  3 in total

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