Published December 2018 | Version v1
Journal article

A gold nanoparticle-based lateral flow biosensor for sensitive visual detection of the potato late blight pathogen, Phytophthora infestans

  • 1. Fujian Key Laboratory of Plant Virology, Institute of Plant Virology, Fujian Agriculture and Forestry University, Fuzhou, 350002 (China)
  • 2. State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002 (China)
  • 3. Key Lab for Biopesticide and Chemical Biology, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, 350002 (China)

Description

Highlights: • A gold nanoparticle-based lateral flow biosensor for visual detection of Phytophthora infestans has been developed. • The results of polyacrylamide gel electrophoresis confirmed the presence of the desired single-stranded DNA products. • ;The specificity of the biosensor was confirmed by detecting three other Phytophthora species and two pathogenic fungi. • The biosensor was used to detect infected leaf and stem samples. - Abstract: Phytophthora infestans, the causal agent of late blight in potatoes and tomatoes, is the most important and ongoing pathogenic threat to agricultural production worldwide. Rapid and early identification of P. infestans is an essential prerequisite for countering the further spread of infection. In this study, a novel method for visual detection of P. infestans has been developed by integrating universal primer mediated asymmetric PCR with gold nanoparticle (AuNP)-based lateral flow biosensor. We employed asymmetric PCR to generate large amounts of single-stranded DNA (ssDNA) by amplifying a region of P. infestans-specific repetitive DNA sequence. The ssDNA products were then applied to the lateral flow biosensor to perform a visual detection using sandwich-type hybridization assays. In the presence of target DNA, sandwich-type hybridization reactions among the AuNP–probe, target DNA and capture probe were performed on the test line of the biosensor, and then a characteristic red band was produced for the accumulation of AuNPs. Quantitative analysis obtained by recording the optical intensity of the red band demonstrated that this biosensor could detect as little as 0.1 pg µL-1 genomic DNA. Furthermore, the specificity of the biosensor was confirmed by detecting three other Phytophthora species and two pathogenic fungi. We believe this method has potential application in early prediction of potato late blight disease and instigation of management actions to reduce the risk of epidemic development.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.aca.2018.06.083

Additional details

Identifiers

DOI
10.1016/j.aca.2018.06.083;
PII
S0003267018308493;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1036
Journal Page Range
p. 153-161
ISSN
0003-2670
CODEN
ACACAM

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50007049
Subject category
S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Descriptors DEI
ASYMMETRY; DETECTION; DNA; GOLD; NANOPARTICLES; NANOSTRUCTURES; PATHOGENS; POLYMERASE CHAIN REACTION; POTATOES
Descriptors DEC
ELEMENTS; FOOD; GENE AMPLIFICATION; METALS; NUCLEIC ACIDS; ORGANIC COMPOUNDS; PARTICLES; PLANTS; TRANSITION ELEMENTS; TUBERS; VEGETABLES

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.