The occurrence of Fusarium species and mycotoxins in Kenyan wheat

Muthomi, James W.; Ndungu, J.; Gathumbi, J. K.; Mutitu, Eunice; Wagacha, John M.

doi:10.1016/j.cropro.2008.03.001

Cited by 77 publications

(61 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been found in human blood and breast milk of people exposed to contaminated products [2]. In Africa, the presence of mycotoxins in food is often overlooked due to public ignorance about their existence, lack of regulatory mechanisms, dumping of food products and introduction of contaminated commodities into the human food chain during chronic food shortage due to drought, wars, political and economic instability [12][13][14][15][16]. International enquiries on existing mycotoxin legislation in foodstuff and animal feeding stuff have been carried out and details on tolerances, official protocols of analysis and sampling have been published [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Ochratoxin A Immunosensor System Developed on Sulfonated Polyaniline

et al. 2010

View full text Add to dashboard Cite

An impedimetric immunosensor for ochratoxin A (OTA) composed of polyaniline-polyvinyl sulfonate and anti-OTA antibody on Pt disk electrode was produced, characterised and calibrated with its responses to standard OTA solutions at pH 7.2. The limit of detection and sensitivity of the OTA immunosensor were calculated to be 10 pg/kg and 563 kW L/ng, respectively. The European Commission limit for OTA in roasted coffee and cereals is 5 mg/kg. Application of the immunosensor to certified reference materials of roasted coffee, wheat and corn gave OTA concentrations of 2.5, 8.6 and 21.1 mg/kg, respectively. The result for corn compared favourably with ELISA results and vendor specifications.

show abstract

Section: Introductionmentioning

confidence: 99%

Electrochemical Ochratoxin A Immunosensor System Developed on Sulfonated Polyaniline

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Moreover, it was reported in Kenya wheat products the presence of more than one of the four mycotoxins analyzed (Muthomi et al, 2008). The co-occurrence of different mycotoxins in the grain can affect both the level of mycotoxin production as well as the toxicology of the contaminated grain resulting in synergetic and additive effects (Muthomi et al, 2008).…”

Section: Phytopathogenic Fungal Infectionsmentioning

confidence: 99%

“…The different crop management practices, such as crop rotation, tillage and cultivar were pointed out as important abiotic drivers (Muller et al, 2010). For instance, Muthomi et al (2008) reported that the management strategies for Fusarium head blight include crop rotation, seed treatment, planting different cultivars, irrigation and weed control, proper land preparation, timely harvesting, appropriate use of fertilizers and fungicide application (Muthomi et al, 2008).…”

Section: Phytopathogenic Fungal Infectionsmentioning

confidence: 99%

A synoptic overview of durum wheat production in the Mediterranean region and processing following the European Union requirements

Lidon

Almeida

Leitao

et al. 2014

Emir. J. Food Agric

View full text Add to dashboard Cite

Cereals are a group of cultivated plants belonging to the grass family that produces grains rich in starch with specific dough properties. These grains are easily harvested, due to the structure and, if under appropriate storage, the mature seeds preserve its qualities and nutritional value for a long time. The gradual shift to a steady-production based agriculture has been the main driving force behind the domestication of wheat, namely durum wheat. The world durum wheat steady-production, which prevails in the Mediterranean region, is mostly used in the production of pasta, yet the quality definition requires the control of fungal phytopathogens, industrial unit operations and additives applications. This paper reviews some aspects of durum wheat production and industrial processing, further considering phytopathogenic infections and the application of food additives.

show abstract

“…However, these methods are usually time-consuming, professional, expensive, labour-intensive and contaminative by introducing harmful chemical reagents [2,[5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Early Detection of Aspergillus parasiticus Infection in Maize Kernels Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis

et al. 2017

View full text Add to dashboard Cite

Fungi infection in maize kernels is a major concern worldwide due to its toxic metabolites such as mycotoxins, thus it is necessary to develop appropriate techniques for early detection of fungi infection in maize kernels. Thirty-six sterilised maize kernels were inoculated each day with Aspergillus parasiticus from one to seven days, and then seven groups (were determined based on the incubated time. Another 36 sterilised kernels without inoculation with fungi were taken as control (DC). Hyperspectral images of all kernels were acquired within spectral range of 921-2529 nm. Background, labels and bad pixels were removed using principal component analysis (PCA) and masking. Separability computation for discrimination of fungal contamination levels indicated that the model based on the data of the germ region of individual kernels performed more effectively than on that of the whole kernels. Moreover, samples with a two-day interval were separable. Thus, four groups, DC, D 1-2 (the group consisted of D 1 and D 2 ), D 3-4 (D 3 and D 4 ), and D 5-7 (D 5 , D 6 , and D 7 ), were defined for subsequent classification. Two separate sample sets were prepared to verify the influence on a classification model caused by germ orientation, that is, germ up and the mixture of germ up and down with 1:1. Two smooth preprocessing methods (Savitzky-Golay smoothing, moving average smoothing) and three scatter-correction methods (normalization, standard normal variate, and multiple scatter correction) were compared, according to the performance of the classification model built by support vector machines (SVM). The best model for kernels with germ up showed the promising results with accuracies of 97.92% and 91.67% for calibration and validation data set, respectively, while accuracies of the best model for samples of the mixed kernels were 95.83% and 84.38%. Moreover, five wavelengths (1145, 1408, 1935, 2103, and 2383 nm) were selected as the key wavelengths in the discrimination of fungal contamination levels. In general, near-infrared hyperspectral imaging can be used for early detection of fungal contamination in maize kernels.

show abstract

The occurrence of Fusarium species and mycotoxins in Kenyan wheat

Cited by 77 publications

References 26 publications

Electrochemical Ochratoxin A Immunosensor System Developed on Sulfonated Polyaniline

Electrochemical Ochratoxin A Immunosensor System Developed on Sulfonated Polyaniline

A synoptic overview of durum wheat production in the Mediterranean region and processing following the European Union requirements

Early Detection of Aspergillus parasiticus Infection in Maize Kernels Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis

Contact Info

Product

Resources

About