Aptamer-based single-walled carbon nanohorn sensors for ochratoxin A detection

Lv, Lei; Cui, Chengbi; Cheng-yun, Liang; Wu-rong, Quan; Wang, Sihong; Guo, Zhijun

doi:10.1016/j.foodcont.2015.08.002

Cited by 117 publications

(39 citation statements)

References 32 publications

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“…108 For example, single wall carbon nanocorns and 3 0 FAM (carboxyuorescein) dye-labelled aptamers were effectively utilised as uorescent sensing probes for ochratoxin A detection. 109 The essential point was that the ochratoxin A-specic DNA aptamers could go into a G-quadruplex structure upon binding to the target. In the absence of the target, DNA aptamers and aromatic FAM labels interacted with negativelycharged single wall carbon nanocorn surface through p stacking, leaving the uorescent dye-quenched as a result of the uorescence resonance energy transfer (FRET) from dye to the carbon surface.…”

Section: Modication Through P-stacking Interactionsmentioning

confidence: 99%

How to make nanobiosensors: surface modification and characterisation of nanomaterials for biosensing applications

2017

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This report aims to provide the audience with a guideline for construction and characterisation of nanobiosensors that are based on widely used affinity probes including antibodies and aptamers and nanomaterials such as carbon-based nanomaterials, plasmonic nanomaterials and luminescent nanomaterials. The affinity probes and major methodologies that have been extensively used to make nanobiosensors, such as thiol-metal interactions, avidin-biotin interaction, p-interactions and EDC-NHS chemistry, were described with the most recent examples from the literature. Characterisation techniques that have been practised to validate nanoparticle surface modification with antibodies and aptamers, including gel electrophoresis, ultraviolet-visible spectrophotometry, dynamic light scattering and circular dichroism were described with examples. This report mainly covers the reports published between

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Section: Modication Through P-stacking Interactionsmentioning

confidence: 99%

How to make nanobiosensors: surface modification and characterisation of nanomaterials for biosensing applications

2017

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“…Furthermore, the fabricated aptasensor was successfully applied for the detection of OTA in grape juice and serum with LODs of 44-60 ng/l. Lv et al (2016) reported a novel fluorescence biosensing strategy for simple and sensitive OTA detection using an aptamer specific for OTA as recognition element and single-walled carbon nanohorns as fluorescence quenchers. Without OTA, the fluorophore labelled aptamer and the quencher are in close proximity, thus prohibiting emission.…”

Section: Ochratoxinsmentioning

confidence: 99%

Developments in mycotoxin analysis: an update for 2017-2018

Tittlemier¹,

Cramer

Dall’Asta

et al. 2019

WMJ

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This review summarises developments that have been published in the period from mid-2017 to mid-2018 on the analysis of various matrices for mycotoxins. Analytical methods to determine aflatoxins, Alternaria toxins, ergot alkaloids, fumonisins, ochratoxins, patulin, trichothecenes, and zearalenone are covered in individual sections. Advances in sampling strategies are discussed in a dedicated section, as are methods used to analyse botanicals and spices, and newly developed comprehensive liquid chromatographic-mass spectrometric based multi-mycotoxin methods. This critical review aims to briefly discuss the most important recent developments and trends in mycotoxin determination as well as to address limitations of the presented methodologies.

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“…Aptamers, due to their excellent selectivity and large robustness , are exceptional recognition elements for fabricating biosensors. Several designs of aptamers‐based biosensors (aptasensors) have been proposed to detect OTA within the range of 0.173 pM–17 nM . In most of these studies low LODs have been achieved mainly by the use of amplifying elements like nanoparticles, proteins and enzymes .…”

Section: Introductionmentioning

confidence: 99%

“…Several designs of aptamers-based biosensors (aptasensors) have been proposed to detect OTA within the range of 0.173 pM-17 nM [15][16][17][18][19][20][21][22]. In most of these studies low LODs have been achieved mainly by the use of amplifying elements like nanoparticles, proteins and enzymes [12,[15][16][17][18][19][20][21][22][23]. However, such protocols can result complicated, thus impractical by inexpert workforce.…”

Section: Introductionmentioning

confidence: 99%

Simple and Fast Picomolar Detection of Ochratoxin A Using a Reusable Label Free Aptasensor Built with a Layer‐by‐layer Procedure

et al. 2017

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A label free impedimetric aptasensor for simple, fast and reusable picomolar detections of Ochratoxin A (OTA) in grape juices was designed. Two main factors were observed to affect the accurate detections of the toxin: i‐lateral interactions between self‐assembled aptamers ii‐ adsorption of large molecules present in complex matrixes like grape juices. Lateral interactions between aptamers were minimized by constructing the aptasensor in a Layer‐by‐Layer procedure. The interferences associated to the unspecific and irreversible adsorption of large molecules present in grape juice, were reduced by submitting samples to ultrafiltration prior to analysis. With this protocol, a 0.12 pM limit of detection and 0.24 pM limit of quantification in spiked grape juices were achieved after only 5–7 mins of interaction with the samples. The presented aptasensor can be recovered after a simple immersion in hot water (90 °C) for ten minutes.

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Aptamer-based single-walled carbon nanohorn sensors for ochratoxin A detection

Cited by 117 publications

References 32 publications

How to make nanobiosensors: surface modification and characterisation of nanomaterials for biosensing applications

How to make nanobiosensors: surface modification and characterisation of nanomaterials for biosensing applications

Developments in mycotoxin analysis: an update for 2017-2018

Simple and Fast Picomolar Detection of Ochratoxin A Using a Reusable Label Free Aptasensor Built with a Layer‐by‐layer Procedure

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