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

Zhan, Fangfang; Wang, Tian; Iradukunda, Linda; Zhan, Jiasui

doi:10.1016/j.aca.2018.06.083

Cited by 71 publications

(14 citation statements)

References 53 publications

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“…Therefore, rapid and early detection P. infestans is an essential step to contain the disease from further spread. Zhan et al integrated universal primer mediated asymmetric PCR with AuNPs-based LFA for the visual detection of P. infestans [ 46 ]. Herein, the asymmetric PCR was performed to produce a large amount of ssDNA and then sandwich hybridization was performed in LFA.…”

Section: Pathogen Biosensingmentioning

confidence: 99%

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Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Kulabhusan

Tripathi

Kant

2022

Sensors

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Plant diseases and their diagnoses are currently one of the global challenges and causes significant impact to the economy of farmers and industries depending on plant-based products. Plant pathogens such as viruses, bacteria, fungi, and pollution caused by the nanomaterial, as well other important elements of pollution, are the main reason for the loss of plants in agriculture and in forest ecosystems. Presently, various techniques are used to detect pathogens in trees, which includes DNA-based techniques, as well as other microscopy based identification and detection. However, these methodologies require complex instruments and time. Lately, nanomaterial-based new biosensing systems for early detection of diseases, with specificity and sensitivity, are developed and applied. This review highlights the nanomaterial-based biosensing methods of disease detection. Precise and time effective identification of plant pathogens will help to reduce losses in agriculture and forestry. This review focuses on various plant diseases and the requirements for a reliable, fast, and cost-effective testing method, as well as new biosensing technologies for the detection of diseases of field plants in forests at early stages of their growth.

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Section: Pathogen Biosensingmentioning

confidence: 99%

“… Schematic representation of plant fungi detection by different methods: ( A ) AuNPs based LFA for the detection of Phytophthora infestans, [ 46 ] ( B ) schematic representation of peptide conjugated AuNPs for the detection of A. niger spores. The images are adopted from the references [ 50 ].…”

Section: Figurementioning

confidence: 99%

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Kulabhusan

Tripathi

Kant

2022

Sensors

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“…directly extracted from late blight-infected potato field samples and then was conducted asymmetric PCR amplification and biosensor assay, where the low detection limit of 0.1 pg ml_1 genomic DNA from Phytophthora infestans was obtained with high specificity within 1.5 h (Zhan et al, 2018). Advantages of this approach include assay simplicity, is quick to provide a result, has a small sample requirement, and has an immediate "point-of-care" diagnosis.…”

Section: Optical Biosensorsmentioning

confidence: 99%

“…Zhan et al developed gold nanoparticle-based lateral flow biosensor to detect Phytophthora infestans, the causal agent of late blight in potatoes and tomatoes using a combined integrated universal primer-mediated asymmetric PCR with gold nanoparticle-based lateral flow biosensor. DNA was directly extracted from late blight-infected potato field samples and then was conducted asymmetric PCR amplification and biosensor assay, where the low detection limit of 0.1 pg ml_1 genomic DNA from Phytophthora infestans was obtained with high specificity within 1.5 h ( Zhan et al, 2018 ).…”

Section: Biosensor Technologies For Plant Pathogen Detectionmentioning

confidence: 99%

Biosensor Technologies for Early Detection and Quantification of Plant Pathogens

et al. 2021

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Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal population. Furthermore, over-spraying can cause environmental contamination and poses a heavy financial burden on growers. To prevent or control disease epidemics, it is important for growers to be able to detect causal pathogen accurately, sensitively, and rapidly, so that the best practice disease management strategies can be chosen and enacted. To reach this goal, many culture-dependent, biochemical, and molecular methods have been developed for plant pathogen detection. However, these methods lack accuracy, specificity, reliability, and rapidity, and they are generally not suitable for in-situ analysis. Accordingly, there is strong interest in developing biosensing systems for early and accurate pathogen detection. There is also great scope to translate innovative nanoparticle-based biosensor approaches developed initially for human disease diagnostics for early detection of plant disease-causing pathogens. In this review, we compare conventional methods used in plant disease diagnostics with new sensing technologies in particular with deeper focus on electrochemical and optical biosensors that may be applied for plant pathogen detection and management. In addition, we discuss challenges facing biosensors and new capability the technology provides to informing disease management strategies.

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“…(2019) Impedimetric biosensor based on gold nanoparticle Citrus Tristeza Virus (CTV) 0.1 μM–10 μM – – Khater et al. (2019) Primer-mediated asymmetric PCR with AuNPs Pythophthora infestans 0.1 pg/μM Phytophthora infestans samples 1.5 h Zhan et al. (2018) Multiplexed imaging LSPR assay Fusarium toxins 15 mg/kg Lab samples 17.5 min Hossain and Maragos (2018) Label-free amperometric immune-sensor Capsicum chlorosis virus (CaCV) 800 to 1000 times more sensitive Field samples 50 min Sharma et al.…”

Section: Introductionmentioning

confidence: 99%

A review of recent advances in plant-pathogen detection systems

Patel¹,

Mitra²,

Vinchurkar³

et al. 2022

Heliyon

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

Cited by 71 publications

References 53 publications

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Gold Nanoparticles and Plant Pathogens: An Overview and Prospective for Biosensing in Forestry

Biosensor Technologies for Early Detection and Quantification of Plant Pathogens

A review of recent advances in plant-pathogen detection systems

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