A flow-through enzyme immunoassay for the screening of fumonisins in maize

Paepens, C.; Saeger, Sarah De; Sibanda, Liberty; Barna-Vetró, Ildikó; Léglise, I.; Hove, François Van; Peteghem, Carlos Van

doi:10.1016/j.aca.2004.07.044

Cited by 48 publications

(23 citation statements)

References 29 publications

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“…The ß ow-through assay was developed as per the method of Paepens et al, [14] with minor modiÞ cations. Brieß y, NCMs (0.45 µm, Advanced Microdevices Pvt.…”

Section: Flow-through Enzyme Immunoassaymentioning

confidence: 99%

Rapid serodiagnosis of leptospirosis by latex agglutination test and flow-through assay

Senthilkumar¹,

Subathra²,

Phil³

et al. 2008

Indian J Med Microbiol

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Purpose: Diagnosis of leptospirosis facilitates patient management and initiation of therapy. The microscopic agglutination test (MAT) is the serological test used in reference laboratories because of its high degree of sensitivity and speciÞ city. But the results are not available quickly for patient management. In the present study, in order to develop a simple, rapid immunodiagnostic assay, one of the outer membrane proteins (OMPs), recombinant LipL41 (rLipL41) has been utilised in latex agglutination test (LAT) and ß ow-through assay. Methods: Part of LipL41 gene was expressed in Escherichia coli system and puriÞ ed. The rLipL41 antigen of pathogenic Leptospira interrogans serovar Icterohaemorrhagiae, which is conserved in all pathogenic Leptospira spp. was used as capture antigen in the LAT and ß ow-through test. Both tests are very rapid and could be completed within 5 minutes. The sensitivity and speciÞ city of rLipL41 was assessed and evaluated in LAT and ß ow-through assay in comparison with standard MAT. Results: The sensitivity and speciÞ city of the LAT were 89.70 and 90.45% and ß ow-through assay were 89.09 and 77.70%, respectively. Conclusions: The developed LAT and ß ow-through assays were simple, rapid and economical for the detection of leptospira infection and suitable for large-scale screening of samples in endemic areas without any sophisticated equipment.

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“…The ß ow-through assay was developed as per the method of Paepens et al, [14] with minor modiÞ cations. Brieß y, NCMs (0.45 µm, Advanced Microdevices Pvt.…”

Section: Flow-through Enzyme Immunoassaymentioning

confidence: 99%

Rapid serodiagnosis of leptospirosis by latex agglutination test and flow-through assay

Senthilkumar¹,

Subathra²,

Phil³

et al. 2008

Indian J Med Microbiol

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“…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

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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.

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“…Together with the elevated interests and wide‐spread use of conventional ELISA methods, efforts have been directed to overcome inherent limitation of the technology, that is storage conditions and shelf‐life of the kits, limited use of organic solvents that may affect the recovery, cross‐reactivity, etc. Such effort resulted in development of different platforms based on the familiar antigen–antibody interaction, especially direct ELISA analysis, such as the flow‐through assay and the lateral flow assay (Paepens and others ). These assays utilize antibody coated membranes to allow reaction with the target antigens following application of liquid sample extracts.…”

Section: Methodsmentioning

confidence: 99%

Advances in Mycotoxin Research: Public Health Perspectives

Lee

Ryu

2015

Journal of Food Science

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Aflatoxins, ochratoxins, fumonisins, deoxynivalenol, and zearalenone are of significant public health concern as they can cause serious adverse effects in different organs including the liver, kidney, and immune system in humans. These toxic secondary metabolites are produced by filamentous fungi mainly in the genus Aspergillus, Penicillium, and Fusarium. It is challenging to control the formation of mycotoxins due to the worldwide occurrence of these fungi in food and the environment. In addition to raw agricultural commodities, mycotoxins tend to remain in finished food products as they may not be destroyed by conventional processing techniques. Hence, much of our concern is directed to chronic health effects through long-term exposure to one or multiple mycotoxins from contaminated foods. Ideally risk assessment requires a comprehensive data, including toxicological and epidemiological studies as well as surveillance and exposure assessment. Setting of regulatory limits for mycotoxins is considered necessary to protect human health from mycotoxin exposure. Although advances in analytical techniques provide basic yet critical tool in regulation as well as all aspects of scientific research, it has been acknowledged that different forms of mycotoxins such as analogs and conjugated mycotoxins may constitute a significant source of dietary exposure. Further studies should be warranted to correlate mycotoxin exposure and human health possibly via identification and validation of suitable biomarkers.

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A flow-through enzyme immunoassay for the screening of fumonisins in maize

Cited by 48 publications

References 29 publications

Rapid serodiagnosis of leptospirosis by latex agglutination test and flow-through assay

Rapid serodiagnosis of leptospirosis by latex agglutination test and flow-through assay

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

Advances in Mycotoxin Research: Public Health Perspectives

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