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Online detection and quantification of ergot bodies in cereals using near infrared hyperspectral imaging.

Abstract

The occurrence of ergot bodies (sclerotia of Claviceps purpurea) in cereals presents a high toxicity risk for animals and humans due to the alkaloid content. To reduce this risk, the European Commission fixed an ergot concentration limit of 0.1% in all feedstuffs containing unground cereals, and a limit of 0.05% in 'intervention' cereals destined for humans. This study sought to develop a procedure based on near infrared hyperspectral imaging and multivariate image analysis to detect and quantify ergot contamination in cereals. Hyperspectral images were collected using an NIR hyperspectral line scan combined with a conveyor belt. All images consisted of lines of 320 pixels that were acquired at 209 wavelength channels (1100-2400 nm). To test the procedure, several wheat samples with different levels of ergot contamination were prepared. The results showed a correlation higher than 0.99 between the predicted values obtained using chemometric tools such as partial least squares discriminant analysis or support vector machine and the reference values. For a wheat sample with a level of ergot contamination as low as 0.01 %, it was possible to identify groups of pixels detected as ergot to conclude that the sample was contaminated. In addition, no false positives were obtained with non-contaminated samples. The limit of detection was found to be 145 mg/kg and the limit of quantification 341 mg/kg. The reproducibility tests of the measurements performed over several weeks showed that the results were always within the limits allowed. Additional studies were done to optimise the parameters in terms of number of samples analysed per unit of time or conveyor belt speed. It was shown that ergot can be detected using a speed of 1-100 mm/s and that a sample of 250 g can be analysed in 1 min.

Authors+Show Affiliations

Food and Feed Quality Unit (U15), Valorisation of Agricultural Products Department (D4), Walloon Agricultural Research Centre, Henseval Building, 24 Chaussée de Namur, 5030 Gembloux, Belgium. vermeulen@cra.wallonie.beNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22059559

Citation

Vermeulen, Ph, et al. "Online Detection and Quantification of Ergot Bodies in Cereals Using Near Infrared Hyperspectral Imaging." Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment, vol. 29, no. 2, 2012, pp. 232-40.
Vermeulen P, Pierna JA, Egmond HP, et al. Online detection and quantification of ergot bodies in cereals using near infrared hyperspectral imaging. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2012;29(2):232-40.
Vermeulen, P., Pierna, J. A., Egmond, H. P., Dardenne, P., & Baeten, V. (2012). Online detection and quantification of ergot bodies in cereals using near infrared hyperspectral imaging. Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment, 29(2), 232-40. https://doi.org/10.1080/19440049.2011.627573
Vermeulen P, et al. Online Detection and Quantification of Ergot Bodies in Cereals Using Near Infrared Hyperspectral Imaging. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2012;29(2):232-40. PubMed PMID: 22059559.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Online detection and quantification of ergot bodies in cereals using near infrared hyperspectral imaging. AU - Vermeulen,Ph, AU - Pierna,J A Fernández, AU - Egmond,H P van, AU - Dardenne,P, AU - Baeten,V, Y1 - 2011/11/07/ PY - 2011/11/9/entrez PY - 2011/11/9/pubmed PY - 2012/6/6/medline SP - 232 EP - 40 JF - Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment JO - Food Addit Contam Part A Chem Anal Control Expo Risk Assess VL - 29 IS - 2 N2 - The occurrence of ergot bodies (sclerotia of Claviceps purpurea) in cereals presents a high toxicity risk for animals and humans due to the alkaloid content. To reduce this risk, the European Commission fixed an ergot concentration limit of 0.1% in all feedstuffs containing unground cereals, and a limit of 0.05% in 'intervention' cereals destined for humans. This study sought to develop a procedure based on near infrared hyperspectral imaging and multivariate image analysis to detect and quantify ergot contamination in cereals. Hyperspectral images were collected using an NIR hyperspectral line scan combined with a conveyor belt. All images consisted of lines of 320 pixels that were acquired at 209 wavelength channels (1100-2400 nm). To test the procedure, several wheat samples with different levels of ergot contamination were prepared. The results showed a correlation higher than 0.99 between the predicted values obtained using chemometric tools such as partial least squares discriminant analysis or support vector machine and the reference values. For a wheat sample with a level of ergot contamination as low as 0.01 %, it was possible to identify groups of pixels detected as ergot to conclude that the sample was contaminated. In addition, no false positives were obtained with non-contaminated samples. The limit of detection was found to be 145 mg/kg and the limit of quantification 341 mg/kg. The reproducibility tests of the measurements performed over several weeks showed that the results were always within the limits allowed. Additional studies were done to optimise the parameters in terms of number of samples analysed per unit of time or conveyor belt speed. It was shown that ergot can be detected using a speed of 1-100 mm/s and that a sample of 250 g can be analysed in 1 min. SN - 1944-0057 UR - https://www.unboundmedicine.com/medline/citation/22059559/Online_detection_and_quantification_of_ergot_bodies_in_cereals_using_near_infrared_hyperspectral_imaging_ L2 - https://www.tandfonline.com/doi/full/10.1080/19440049.2011.627573 DB - PRIME DP - Unbound Medicine ER -