2023
DOI: 10.1016/j.foodchem.2022.134397
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Sensitive and stable detection of deoxynivalenol based on electrochemiluminescence aptasensor enhanced by 0D/2D homojunction effect in food analysis

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Cited by 30 publications
(12 citation statements)
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“…Furthermore, compared with the analytical performance of recently reported DON detection methods, including photothermal immunochromatographic test strip (PITS), electrochemical, fluorescence, luminescence resonance energy transfer (LRET), and surface-enhanced Raman scattering (SERS), ,, the screening-capture-integrated ECL aptasensor developed in this study shows a wider detection range and a lower detection limit for detecting DON (Table S2). The high detection performance of the MSF-based screening-capture-integrated ECL aptasensor for DON can be attributed to several factors: (i) In contrast to most ECL sensors in which the biometric element and ECL emitter need to be physically or chemically bonded to the electrode surface separately, in the as-developed sensor, the in situ grown MSFs are tightly attached to the ITO surface, avoiding the possibility of the modified material detaching from the electrode owing to weak physical or chemical bonding, circumventing tedious handling processes, and improving recognition and reaction efficiency; (ii) MSFs have dense and homogeneous nanochannels with narrow pores that enable size screening, which provides a pure environment for the signal probe (Ru­(bpy) 3 2+ ), eliminates the presence of background signals in the electrolyte, and improves the anti-interference ability of the sensor; (iii) Apt attached to the surface of MSFs has a high affinity for DON, improving the selectivity and specificity of the ECL aptasensor.…”
Section: Resultsmentioning
confidence: 99%
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“…Furthermore, compared with the analytical performance of recently reported DON detection methods, including photothermal immunochromatographic test strip (PITS), electrochemical, fluorescence, luminescence resonance energy transfer (LRET), and surface-enhanced Raman scattering (SERS), ,, the screening-capture-integrated ECL aptasensor developed in this study shows a wider detection range and a lower detection limit for detecting DON (Table S2). The high detection performance of the MSF-based screening-capture-integrated ECL aptasensor for DON can be attributed to several factors: (i) In contrast to most ECL sensors in which the biometric element and ECL emitter need to be physically or chemically bonded to the electrode surface separately, in the as-developed sensor, the in situ grown MSFs are tightly attached to the ITO surface, avoiding the possibility of the modified material detaching from the electrode owing to weak physical or chemical bonding, circumventing tedious handling processes, and improving recognition and reaction efficiency; (ii) MSFs have dense and homogeneous nanochannels with narrow pores that enable size screening, which provides a pure environment for the signal probe (Ru­(bpy) 3 2+ ), eliminates the presence of background signals in the electrolyte, and improves the anti-interference ability of the sensor; (iii) Apt attached to the surface of MSFs has a high affinity for DON, improving the selectivity and specificity of the ECL aptasensor.…”
Section: Resultsmentioning
confidence: 99%
“…Electrochemiluminescence (ECL) is an electrochemical detection technology that combines electrochemistry and chemiluminescence . Because of its characteristics of high sensitivity and simple operation, ECL has attracted considerable attention in the field of biosensing. Although a few studies have been recently conducted on the use of ECL sensors to detect DON, only one of them was based on an ECL aptasensor. , You et al prepared Ti 3 C 2 dots/Ti 3 C 2 nanosheets (TDTN) using a solvothermal method based on zero-dimensional Ti 3 C 2 dots and two-dimensional Ti 3 C 2 nanosheets . Using TDTN as the ECL emitter, an ECL biosensor was constructed and successfully applied for detecting DON in milk samples.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the aforementioned intricate detection methods reliant on bulky instrumentation, ECL has been extensively utilized across diverse domains, encompassing biosensing and medical diagnostics, environmental monitoring, and food safety. [12][13][14] This popularity stems from its exceptional attributes, which encompass increased sensitivity, unparalleled selectivity, an expansive linear range, and negligible background signal interference. 15,16 ECL technology is rooted in the mechanism of electron transfer and energy emission occurring at electrodes within electrochemical systems through redox reactions.…”
Section: Introductionmentioning
confidence: 99%
“…1−4 Deoxynivalenol (DON, also referred to as vomitoxin) is the most widely distributed mycotoxin and reduces the yields and quality of grain, thus resulting in enormous economic losses in agriculture. 5,6 Moreover, DON causes significant acute and chronic diseases, such as vomiting, appetite disturbance, dyspeptic symptoms, nausea, and immune suppression. 7,8 Therefore, exploring effective methods is essential to addressing accidental DON contamination in the food and feed industry.…”
Section: Introductionmentioning
confidence: 99%
“…Mycotoxins, including aflatoxins, deoxynivalenol, zearalenone, ochratoxins, and patulin, are toxic secondary metabolites produced by Aspergillus , Fusarium , Alternaria , and Penicillium spp. that pose a significant threat to the food and feed industry; after entering the food chain, these metabolites cause great harm to animal and human health. Deoxynivalenol (DON, also referred to as vomitoxin) is the most widely distributed mycotoxin and reduces the yields and quality of grain, thus resulting in enormous economic losses in agriculture. , Moreover, DON causes significant acute and chronic diseases, such as vomiting, appetite disturbance, dyspeptic symptoms, nausea, and immune suppression. , Therefore, exploring effective methods is essential to addressing accidental DON contamination in the food and feed industry.…”
Section: Introductionmentioning
confidence: 99%