Occurrence of deoxynivalenol and deoxynivalenol-3-glucoside in durum wheat from Argentina

Palacios, Sofia Alejendra; Erazo, J.; Ciasca, Biancamaria; Lattanzio, Veronica M.T.; Reynoso, María Marta; Farnochi, María Cecilia; Torres, Adriana Mabel

doi:10.1016/j.foodchem.2017.03.085

Cited by 85 publications

(39 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Aflatoxin metabolism differs between children and adults (Dohnal et al 2014) and the aflatoxin pharmacokinetics is still not completely explored (Dohnal et al 2014). Liver is the dominant site of aflatoxin metabolism, where aflatoxins are converted to 8,9-epoxide form during the phase I metabolism by primary cytochrome P450 (CYP) enzymes, such as CYP3A4, CYP3A5, CYP3A7 and CYP1A2 (Palacios et al 2017;Wild and Turner 2002). CYP3A4, CYP1A2 and CYP3A7 in the liver oxidize AFB1 to form AFB1-8,9exoepoxide and AFB1-endo-epoxide.…”

Section: Aflatoxin B1mentioning

confidence: 99%

“…AFB1-endo-epoxide is less toxic as it cannot bind to nucleic acids (Dohnal et al 2014;Palacios et al 2017;Wild and Turner 2002). However, exo-and endo-epoxide through non-enzymatic hydrolysis can form AFB1-8,9-dihydrodiol which reacts with the ε-amino group of lysine in serum albumin and can be detected in blood (Dohnal et al 2014;Wild and Turner 2002).…”

Section: Aflatoxin B1mentioning

confidence: 99%

See 1 more Smart Citation

Aflatoxin, fumonisin, ochratoxin, zearalenone and deoxynivalenol biomarkers in human biological fluids: A systematic literature review, 2001–2018

Al-Jaal

Jaganjac

Barcaru

et al. 2019

Food and Chemical Toxicology

144

View full text Add to dashboard Cite

show abstract

Section: Aflatoxin B1mentioning

confidence: 99%

Section: Aflatoxin B1mentioning

confidence: 99%

Aflatoxin, fumonisin, ochratoxin, zearalenone and deoxynivalenol biomarkers in human biological fluids: A systematic literature review, 2001–2018

Al-Jaal

Jaganjac

Barcaru

et al. 2019

Food and Chemical Toxicology

144

View full text Add to dashboard Cite

show abstract

“…Deoxynivalenol (DON) is the most serious of these toxins. DON can lead to poisoning in people or animals and persists in the food chain for a long time [4,5]. If the disease in the field can be detected earlier and quicker, wheat containing the toxins can be isolated, which can reduce the loss caused by disease.…”

Section: Introductionmentioning

confidence: 99%

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field

et al. 2018

View full text Add to dashboard Cite

Classification of healthy and diseased wheat heads in a rapid and non-destructive manner for the early diagnosis of Fusarium head blight disease research is difficult. Our work applies a deep neural network classification algorithm to the pixels of hyperspectral image to accurately discern the disease area. The spectra of hyperspectral image pixels in a manually selected region of interest are preprocessed via mean removal to eliminate interference, due to the time interval and the environment. The generalization of the classification model is considered, and two improvements are made to the model framework. First, the pixel spectra data are reshaped into a two-dimensional data structure for the input layer of a Convolutional Neural Network (CNN). After training two types of CNNs, the assessment shows that a two-dimensional CNN model is more efficient than a one-dimensional CNN. Second, a hybrid neural network with a convolutional layer and bidirectional recurrent layer is reconstructed to improve the generalization of the model. When considering the characteristics of the dataset and models, the confusion matrices that are based on the testing dataset indicate that the classification model is effective for background and disease classification of hyperspectral image pixels. The results of the model show that the two-dimensional convolutional bidirectional gated recurrent unit neural network (2D-CNN-BidGRU) has an F1 score and accuracy of 0.75 and 0.743, respectively, for the total testing dataset. A comparison of all the models shows that the hybrid neural network of 2D-CNN-BidGRU is the best at preventing over-fitting and optimize the generalization. Our results illustrate that the hybrid structure deep neural network is an excellent classification algorithm for healthy and Fusarium head blight diseased classification in the field of hyperspectral imagery.

show abstract

“…It was reported that the mean concentrations of D3G were 393 µg/kg and 141 µg/kg, respectively, for wheat and maize samples [14]. Palacios et al (2017) [15] reported that D3G was detected in 94% of the investigated durum wheat commercial cultivars from the Argentinean main growing area at concentrations ranging from < the limit of quantification (LOQ, 50 µg/kg) to 850 µg/kg. Lancova et al (2008) [16] found D3G in naturally contaminated barley, and a remarkable increase of D3G was observed in malt compared to raw barley.…”

Section: Introductionmentioning

confidence: 99%

Conversion of Deoxynivalenol-3-Glucoside to Deoxynivalenol during Chinese Steamed Bread Processing

Zhang

et al. 2020

Toxins

View full text Add to dashboard Cite

We reported the conversion of deoxynivalenol-3-glucoside (D3G) to deoxynivalenol (DON) during Chinese steamed bread (CSB) processing by artificial D3G contamination. Meanwhile, the effects of enzymes in wheat flour and those produced from yeast, along with the two main components in wheat flour—wheat starch and wheat gluten—on the conversion profiles of D3G were evaluated. The results showed D3G could convert to DON during CSB processing, and the conversion began with dough making and decreased slightly after fermentation and steaming. However, there was no significant difference in three stages. When yeast was not added, or enzyme-deactivated wheat flour was used to simulate CSB process, and whether yeast was added or not, D3G conversion could be observed, and the conversion was significantly higher after dough making. Likewise, D3G converted to DON when wheat starch and wheat gluten were processed to CSB, and the conversion in wheat starch was higher.

show abstract

Occurrence of deoxynivalenol and deoxynivalenol-3-glucoside in durum wheat from Argentina

Cited by 85 publications

References 25 publications

Aflatoxin, fumonisin, ochratoxin, zearalenone and deoxynivalenol biomarkers in human biological fluids: A systematic literature review, 2001–2018

Aflatoxin, fumonisin, ochratoxin, zearalenone and deoxynivalenol biomarkers in human biological fluids: A systematic literature review, 2001–2018

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field

Conversion of Deoxynivalenol-3-Glucoside to Deoxynivalenol during Chinese Steamed Bread Processing

Contact Info

Product

Resources

About