Predicting Scab, Vomitoxin, and Ergosterol in Single Wheat Kernels Using Near‐Infrared Spectroscopy

Dowell, Floyd E.; Ram, M. S.; Seitz, Larry M.

doi:10.1094/cchem.1999.76.4.573

Cited by 159 publications

(100 citation statements)

References 15 publications

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“…From NIR spectra (940 to 1700 nm) and applying a classification, which regards grain mass and the differences in logarithmic reciprocal spectral values at 1182 and 1242 nm, Fusarium damaged wheat grains could be detected by hyperspectral imaging with an accuracy of up to 95% under practical conditions [2]. [59,62] used absorption spectra in the NIR range to determine the Deoxynivalenol (DON) content in Fusarium infected kernels. Following acetonitrile extraction, DON contaminated wheat grains showed mycotoxin content-depended spectral differences at 1204, 1365 and 1700 nm.…”

Section: Detection Of Fusarium-damaged Grainsmentioning

confidence: 99%

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

2014

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Abstract:In recent years, market pressures have reinforced the demand to solve the problem of an increased occurrence of Fusarium head blight (FHB) in cereal production, especially in wheat. The symptoms of this disease are clearly detectable by means of image analysis. This technique can therefore be used to map occurrence and extent of Fusarium infections. From this perspective, a separate harvest in the field can be taken into consideration. Based on the application of chlorophyll fluorescence and hyperspectral imaging, characteristics, requirements and limitations of Fusarium detection on wheat, both in the field and in the laboratory, are discussed. While the modification of spectral signatures due to fungal infection allows its detection by hyperspectral imaging, the decreased physiological activity of tissues resulting from Fusarium impacts provides the base for CFI analyses. In addition, the two methods are compared in view of their usability for the detection of Fusarium, and different approaches for data analysis are presented.

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Section: Detection Of Fusarium-damaged Grainsmentioning

confidence: 99%

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

2014

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“…Also moisture is an important parameter. Dowell et al [89] have applied NIRS for scab, vomitoxin, and ergosterol determination in single-wheat kernels. The results obtained show that the NIRS method was able to find all scab-damaged kernels that were identified by official inspectors.…”

Section: A3 Class a Type 003: Grassesmentioning

confidence: 99%

A Review of Optical Nondestructive Visual and Near-Infrared Methods for Food Quality and Safety

Alander

Bochko

Martinkauppi

et al. 2013

International Journal of Spectroscopy

129

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This paper is a review of optical methods for online nondestructive food quality monitoring. The key spectral areas are the visual and near-infrared wavelengths. We have collected the information of over 260 papers published mainly during the last 20 years. Many of them use an analysis method called chemometrics which is shortly described in the paper. The main goal of this paper is to provide a general view of work done according to different FAO food classes. Hopefully using optical VIS/NIR spectroscopy gives an idea of how to better meet market and consumer needs for high-quality food stuff.

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“…Optical measurement techniques fall into two general categories, spectroscopy-based (visible or NIR) and image analysis. The first category, spectroscopy, was first examined by Dowell et al 9 In recent years, research has also addressed Fusarium-damaged kernel (FDK) detection by optical measurement. Both image analysis and near-infrared (near-IR) spectroscopy have been utilized.…”

Section: Introductionmentioning

confidence: 99%

Optical characterization of free-falling mold-damaged wheat kernels

Delwiche

2007

SPIE Proceedings

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One of the most common molds that infects the seeds of small cereals worldwide, such as wheat, is Fusarium Head Blight (FHB). The mycotoxin, deoxynivalenol (also known as DON or vomitoxin) is often produced by this mold, which, upon ingestion, causes health problems to not only livestock (especially non-ruminants), but to humans as well. In the United States, the FDA has established advisory levels for DON in food and feeds, a practice that is likewise conducted by most countries of the world. Our previous research has shown that commercial high-speed optical sorters are on average 50 percent efficient at the removal of mold-damaged kernels; however, under more careful control in the laboratory, this efficiency can rise to 95 percent or better. Ongoing research is examining the potential to achieve the higher efficiencies at conditions that are more akin to those of commercial processing. For example, multispectral information is collected on single kernels in freefall at the sub-millisecond level. Knowledge gained from this research will provide design criteria for improvement of high-speed optical sorters for reduction of DON in raw cereals commodities, as well as in finished food products.

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Predicting Scab, Vomitoxin, and Ergosterol in Single Wheat Kernels Using Near‐Infrared Spectroscopy

Cited by 159 publications

References 15 publications

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

A Review of Optical Nondestructive Visual and Near-Infrared Methods for Food Quality and Safety

Optical characterization of free-falling mold-damaged wheat kernels

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