The presence of deoxynivalenol (DON) in grains poses a threat to human health, which is critical for sensitive detection of DON. In this electrochemical immunosensor, zeolitic imidazolate framework-8 (ZIF-8) loaded with Prussian blue (PB) nanoparticles was coated by polydopamine (PDA) as a redox probe. The high porosity of ZIF-8, the unique electrochemical activity of PB and the outstanding electrical conductivity of PDA improved the sensitivity of the immunosensor. Under the optimized conditions, the peak current in differential pulse voltammetry displayed a good linear relationship over DON concentrations in a range of 0.1-5000 pg mL with a detection limit of 0.0186 pg mL. In addition, the immunosensor also had good selectivity and stability. Good recoveries of 85.67 to 118.00 % have been achieved for the detection of DON in spiked grain products. This new strategy exhibits great potential for simple and rapid detection of DON in grain and feed products.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.foodchem.2022.134842 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
'Why Don't We Get Counselling?': Comparing NICE Guidelines for Morphological and Genetic Cancer Risk Diagnoses.
Cancer Med
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Background: In the UK's National Health Service (NHS), there is specific psychosocial care offered to people with genetic cancer risk conditions but not morphological cancer risk conditions. As researchers develop new ways to diagnose morphological risk conditions, including precancers and in situ cancers, it is important to consider the psychosocial care that those diagnosed might require.
Objectives: This study compares the National Institute for Health and Care Excellence's guidelines for BRCA1/2, which are genetic risk conditions, and Barrett's oesophagus (BO), a morphological risk condition.
Genetically engineered integrated aflatoxin B and deoxynivalenol bispecific nanobody as surrogate antigens for constructed time-resolved immunoassay dual detection methods.
Biosens Bioelectron
January 2025
Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China; Food Safety Research Institute, HuBei University, Wuhan, China. Electronic address:
There is a phenomenon of combined contamination of fungal toxins, of which aflatoxin B (AFB) is the most toxic, and deoxynivalenol (DON) contamination is common. The use of antigens for double or multiple testing of mycotoxins is easy to cause environmental pollution, and surrogate antigens have become necessary. The small molecule and susceptibility to genetic modification of nanobodies can be used to develop alternative antigens for mycotoxins.
View Article and Find Full Text PDFPrediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
Department of Environment, Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium. Electronic address:
Contamination of wheat by the mycotoxin Deoxynivalenol (DON), produced by Fusarium fungi, poses significant challenges to the quality of crop yield and food safety. Visible and near-infrared (vis-NIR) spectroscopy has emerged as a promising, non-destructive, and efficient tool for detecting mycotoxins in cereal crops and foods. This study aims to utilize vis-NIR spectroscopy, coupled with a feature selection technique and machine learning modelling, to predict and classify DON contamination in wheat kernels and flour.
View Article and Find Full Text PDFAnomalous Right Coronary Artery: Culprit or Innocent Bystander?
Case Rep Cardiol
January 2025
Department of Medicine, Division of Cardiology, University of Washington, Seattle, Washington, USA.
Anomalous aortic origin of a coronary artery is a rare congenital heart defect. The detection of anomalous coronary arteries is likely to increase with increased availability and application of cardiac computed tomography and magnetic resonance imaging. Once detected, the recommendation for surgical intervention on anomalous coronary arteries depends upon patient symptoms, the presence or absence of inducible ischemia on stress imaging, and high-risk anatomic features.
View Article and Find Full Text PDFA novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques.
Comput Methods Programs Biomed
December 2024
CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Zhejiang, Hangzhou, China.
Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high computational demands hinder their practical use in clinical environments.
Objective: This study aims to address the computational inefficiencies of deep neural networks by proposing a lightweight model that integrates model compression techniques, ConvLSTM layers, and ConvNext Blocks, all optimized through Knowledge Distillation (KD).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!