Development of a quantum dots FRET-based biosensor for efficient detection of<i>Polymyxa betae</i>

Safarpour, Hossein; Safarnejad, Mohammad Reza; Tabatabaei, Meisam; Mohsenifar, Afshin; Rad, Fatemeh; Basirat, Marzieh; Shahryari, Fatemeh; Hasanzadeh, Fatemeh

doi:10.1080/07060661.2012.709885

Cited by 107 publications

(30 citation statements)

References 18 publications

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“…For example, Rhizomania, which is the most destructive disease in sugar beet, is caused by beet necrotic yellow vein virus (BNYVV). Polymyxa betae (Keskin), the only known vector of BNYVV, for transmission of the virus to the plants was successfully reported to be detected by QD-FRET-based sensor [ 71 ].…”

Section: Detection Of Plant Diseases Using Portable Sensorsmentioning

confidence: 99%

Current and Prospective Methods for Plant Disease Detection

2015

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Food losses due to crop infections from pathogens such as bacteria, viruses and fungi are persistent issues in agriculture for centuries across the globe. In order to minimize the disease induced damage in crops during growth, harvest and postharvest processing, as well as to maximize productivity and ensure agricultural sustainability, advanced disease detection and prevention in crops are imperative. This paper reviews the direct and indirect disease identification methods currently used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), immunofluorescence (IF), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), flow cytometry (FCM) and gas chromatography-mass spectrometry (GC-MS) are some of the direct detection methods. Indirect methods include thermography, fluorescence imaging and hyperspectral techniques. Finally, the review also provides a comprehensive overview of biosensors based on highly selective bio-recognition elements such as enzyme, antibody, DNA/RNA and bacteriophage as a new tool for the early identification of crop diseases.

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Section: Detection Of Plant Diseases Using Portable Sensorsmentioning

confidence: 99%

Current and Prospective Methods for Plant Disease Detection

2015

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“…The same thing for bioconjugated QD (A) -pAb. 23,24 Other peaks at 1225 cm À1 in labeled peak QD (A) -pAb (demonstrating the presence of pAb) and also peak at 1215 cm À1 in QD (D) -mAb (demonstrating the existence of mAb) were also observed.…”

Section: Physical Characterizationmentioning

confidence: 85%

A highly sensitive fluorescent immunosensor for sensitive detection of nuclear matrix protein 22 as biomarker for early stage diagnosis of bladder cancer

et al. 2020

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“…They also demonstrated how the number of strands to be immobilised on a single QD is highly dependent on the QDbinding domain of oligonucleotides as well as the particle diameter. On the other hand, QDs are excellent candidates for the observation of fluorescence resonance energy transfer (FRET) phenomena [1,[17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] owing to their narrow and symmetrical emission spectra. The sensitive distance dependence of FRET makes it a powerful tool for resolving bio-chemical processes in vitro and biosensing [23,[33][34][35][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Optical Properties and In Vitro Biological Studies of Oligonucleotide‐Modified Quantum Dots

Gérard

Freeley

Defrancq

et al. 2013

Journal of Nanomaterials

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Water-soluble semiconducting nanocrystals or quantum dots (QDs) have attracted much interest in recent years due to their tuneable emission and potential applications in photonics and biological imaging. Fluorescence resonance energy transfer (FRET) processes are very important for elucidating biochemical mechanismsin vitro, and QDs constitute an excellent substrate for this purpose. In this work, new oligonucleotide-functionalised CdTe-based QDs were prepared, characterised and biologically tested. These QDs demonstrated interesting optical properties as well as remarkablein vitrobehaviour and potential for a range of biological applications.

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Development of a quantum dots FRET-based biosensor for efficient detection ofPolymyxa betae

Cited by 107 publications

References 18 publications

Current and Prospective Methods for Plant Disease Detection

Current and Prospective Methods for Plant Disease Detection

A highly sensitive fluorescent immunosensor for sensitive detection of nuclear matrix protein 22 as biomarker for early stage diagnosis of bladder cancer

Optical Properties and In Vitro Biological Studies of Oligonucleotide‐Modified Quantum Dots

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