Gold nanocap-supported upconversion nanoparticles for fabrication of a solid-phase aptasensor to detect ochratoxin A

Kim, Kihyeun; Jo, Eun-Jung; Lee, Ki Joong; Park, Jiyoon; Jung, Gun Young; Shin, Yong‐Beom; Lee, Luke P.; Kim, Min-Gon

doi:10.1016/j.bios.2019.111885

Cited by 40 publications

(19 citation statements)

References 32 publications

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“…(a) Gold nanocap-supported up-conversion nanoparticles for fabrication of a solid-phase aptasensor for ochratoxin A detection. Extracted from reference [ 209 ]. (b) Calibration-free measurement of phenylalanine levels in the blood using an electrochemical aptamer-based sensor suitable for point-of-care applications extracted from reference [ 210 ].…”

Section: Alternative Tools To Mass Spectrometry and Nuclear Magnetic Resonance Instruments For Making Metabolomics Valuable In Clinical Lmentioning

confidence: 99%

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

et al. 2021

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Metabolomics refers to the large-scale detection, quantification, and analysis of small molecules (metabolites) in biological media. Although metabolomics, alone or combined with other omics data, has already demonstrated its relevance for patient stratification in the frame of research projects and clinical studies, much remains to be done to move this approach to the clinical practice. This is especially true in the perspective of being applied to personalized/precision medicine, which aims at stratifying patients according to their risk of developing diseases, and tailoring medical treatments of patients according to individual characteristics in order to improve their efficacy and limit their toxicity. In this review article, we discuss the main challenges linked to analytical chemistry that need to be addressed to foster the implementation of metabolomics in the clinics and the use of the data produced by this approach in personalized medicine. First of all, there are already well-known issues related to untargeted metabolomics workflows at the levels of data production (lack of standardization), metabolite identification (small proportion of annotated features and identified metabolites), and data processing (from automatic detection of features to multi-omic data integration) that hamper the inter-operability and reusability of metabolomics data. Furthermore, the outputs of metabolomics workflows are complex molecular signatures of few tens of metabolites, often with small abundance variations, and obtained with expensive laboratory equipment. It is thus necessary to simplify these molecular signatures so that they can be produced and used in the field. This last point, which is still poorly addressed by the metabolomics community, may be crucial in a near future with the increased availability of molecular signatures of medical relevance and the increased societal demand for participatory medicine. Graphical abstract

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Section: Alternative Tools To Mass Spectrometry and Nuclear Magnetic Resonance Instruments For Making Metabolomics Valuable In Clinical Lmentioning

confidence: 99%

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

et al. 2021

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“…In this context, Kim et al. (2020) fabricated a solid‐phase, single‐step FL aptasensor for OTA detection based on Au nanocap‐supported UCNPs (Au/UCNPs). The BHQ1 (quencher)‐labeled aptamers were functionalized on the surface of Au/UCNPs, which were partially embedded in a PDMS substrate.…”

Section: Typical Aptasensors For Mycotoxin Detectionmentioning

confidence: 99%

“…To address these problems, solidphase FL aptasensors are developed by immobilizing NPs, bioreceptors, and their conjugates on solid substrates, providing a portable and reusable platform. In this context, Kim et al (2020) fabricated a solid-phase, single-step FL aptasensor for OTA detection based on Au nanocap-supported UCNPs (Au/UCNPs). The BHQ1 (quencher)-labeled aptamers were functionalized on the surface of Au/UCNPs, which were partially embedded in a PDMS substrate.…”

Section: Labeled Fl Aptasensorsmentioning

confidence: 99%

Aptasensors for mycotoxins in foods: Recent advances and future trends

Hou

Jia

Sheng

et al. 2021

Comp Rev Food Sci Food Safe

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Mycotoxin contamination in foods has posed serious threat to public health and raised worldwide concern. The development of simple, rapid, facile, and cost‐effective methods for mycotoxin detection is of urgent need. Aptamer‐based sensors, abbreviated as aptasensors, with excellent recognition capacity to a wide variety of mycotoxins have attracted ever‐increasing interest of researchers because of their simple fabrication, rapid response, high sensitivity, low cost, and easy adaptability for in situ measurement. The past few decades have witnessed the rapid advances of aptasensors for mycotoxin detection in foods. Therefore, this review first summarizes the reported aptamer sequences specific for mycotoxins. Then, the recent 5‐year advancements in various newly developed aptasensors, which, according to the signal output mode, are divided into electrochemical, optical and photoelectrochemical categories, for mycotoxin detection are comprehensively discussed. A special attention is taken on their strengths and limitations in real‐world application. Finally, the current challenges and future perspectives for developing novel highly reliable aptasensors for mycotoxin detection are highlighted, which is expected to provide powerful references for their thorough research and extended applications. Owing to their unique advantages, aptasensors display a fascinating prospect in food field for safety inspection and risk assessment.

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“…Thus, a common camera or smartphone is required to read out the biosensor signal via image recognition with strong point-of-care (POC) prospects in the in situ detection. Although a few studies have reported the development of solid-phase biosensors based on UCNPs, , these biosensors still rely on expensive laboratory instruments. Hence, smartphone-based portable device and software might pave the path for the design of a flexible biosensor based on model strategy.…”

Section: Introductionmentioning

confidence: 99%

Regenerative Flexible Upconversion-Luminescence Biosensor for Visual Detection of Diethylstilbestrol Based on Smartphone Imaging

Ahmad

Ouyang

et al. 2021

Anal. Chem.

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Diethylstilbestrol (DES), an endocrine disrupting chemical, has been linked to serious health problems in humans. In this work, a regenerative flexible upconversion-fluorescence biosensor was designed for the detection of DES in foodstuffs and environmental samples. Herein, amino-functionalized upconversion nanoparticles (UCNPs) were synthesized and immobilized on the surface of a flexible polydimethylsiloxane substrate, which was further modified with complementary DNA and dabcyl-labeled DES aptamer. The fluorescence resonance energy transfer (FRET) system was established for DES detection between dabcyl and UCNPs as the acceptor and donor pairs, respectively, which resulted in the quenching of the upconversion luminescence intensity. In the presence of a target, the FRET system was destroyed and upconversion fluorescence was restored due to the stronger affinity of the aptamer toward DES. The designed biosensor was also implemented in a dual-mode signal readout based on images from a smartphone and spectra from a spectrometer. Under the optimized experimental conditions, good linear relationships were achieved based on imaging (y = 53.055x + 36.175, R 2 = 0.9851) and spectral data (y = 1.1582x + 1.9561, R 2 = 0.9897). The designed biosensor revealed great practicability with a spiked recovery rate of 77.91–97.95% for DES detection in real environment and foodstuff samples. Furthermore, the proposed biosensor was regenerated seven times with an accuracy threshold of 80% demonstrating its durability and reusability. Thus, this biosensor is expected to be applied to point-of-care and on-site detection based on the developed portable smartphone device and android application.

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Gold nanocap-supported upconversion nanoparticles for fabrication of a solid-phase aptasensor to detect ochratoxin A

Cited by 40 publications

References 32 publications

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

Aptasensors for mycotoxins in foods: Recent advances and future trends

Regenerative Flexible Upconversion-Luminescence Biosensor for Visual Detection of Diethylstilbestrol Based on Smartphone Imaging

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