A high-throughput X-ray micro-computed tomography (μCT) approach for measuring single kernel maize ( Zea mays L.) volumes and densities

Guelpa, Anina; Plessis, Anton du; Manley, Marena

doi:10.1016/j.jcs.2016.04.009

Cited by 29 publications

(13 citation statements)

References 20 publications

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“…Kernel hardness can be an important parameter for different end uses. Lower density maize is suitable for wet‐milling processing (Taboada‐Gaytan et al 2010; Uriarte‐Aceves et al 2015), and hard endosperm semi‐dent and flint corns with high kernel density are widely used in dry milling (Guelpa et al 2016). Another important food processing characteristic associated with kernel density is cooking time.…”

Section: Discussionmentioning

confidence: 99%

“…Traditional food preparation techniques in the borderlands region may or may not include nixtamalization, and processing techniques have been optimized to deliver the best end products that can be achieved from diverse local landrace varieties. In contrast, the U.S. dry‐milling industry requires specific kernel properties (i.e., hard endosperm) to achieve targeted milling and end‐product qualities (Guelpa et al 2016).…”

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confidence: 99%

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Grain and Nutritional Quality Traits of Southwestern U.S. Blue Maize Landraces

et al. 2017

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Anthocyanin‐rich Southwestern blue maize (Zea mays L.) landraces are receiving interest as functional foods, and commercial production is increasing. We determined variation in kernel color, anthocyanin content, texture, and selected compositional traits of representative varieties. In 2013, eight varieties were grown at four locations in New Mexico. Total kernel anthocyanin content (TAC) and component pigments were measured with spectrophotometry and HPLC, respectively. Oil, protein, starch, and kernel density were determined using NIR spectroscopy and amino acid concentrations using wet chemistry. An average of 49.6 mg/100 g of TAC with a range of 17.6–65.1 mg/100 g was observed. Cyanidin and pelargonidin were major components, and peonidin and succinyl 3‐glucoside were minor components. Low levels of disuccinyl glucoside were detected. Blue kernels were higher in anthocyanin than purple or red kernels. Floury kernels displayed the highest protein and oil contents and the lowest starch content and kernel density. The highest starch and kernel density levels were observed in small flint/dent and pop‐flint/dent kernels. Amino acid content was variable across genotypes and locations.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Grain and Nutritional Quality Traits of Southwestern U.S. Blue Maize Landraces

et al. 2017

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“…The development of X‐ray CT technology is transformed from external quality inspection to internal quality inspection. This technology is encouraged to inspect and visualize the internal information on two‐dimensional (2D) structure and three‐dimensional (3D) structure of agricultural products (Fox & Manley, ; Girvin & Gupta, ; Guelpa, Plessis, & Manley, ). The pore topology, tiller numbers, internal corruption, grain hardness, moisture, temperature, volumes and densities, and mechanical damage could be achieved with CT scanner (Arendse, Fawole, Magwaza, & Opara, ; Chen, Xu, Yin, & Tang, ; Dhondt, Vanhaeren, Loo, Cnudde, & Inze, ; Longuetaud, Leban, Mothe, Kerrien, & Berger, ; Stuppy, Maisano, Colbert, Rudall, & Rowe, ; Yang et al., ; Yu & Qi, ).…”

Section: Introductionmentioning

confidence: 99%

X‐ray computed tomography for quality inspection of agricultural products: A review

Buttar

et al. 2019

Food Science & Nutrition

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The quality of agricultural products relates to the internal structure, which has long been a matter of interest in agricultural scientists. However, inspection methods of the opaque nature of internal information on agricultural products are usually destructive and require sample separation or preparation. X‐ray computed tomography (X‐ray CT) technology is one of the important nondestructive testing (NDT) technologies without sample separation and preparation. In this study, X‐ray CT technology is used to obtain two‐dimensional slice images and three‐dimensional tomographic images of samples. The purpose of the review was to provide an overview of the working principle of X‐ray CT technology, image processing, and analysis. This review aims to focus on the development of the agricultural products (e.g., wheat, maize, rice, apple, beef) and its applications (e.g., internal quality evaluation, microstructure observation, mechanical property measurement, and others) using CT scanner. This paper covers the aspects regarding the advantages and disadvantages of NDT technology, especially the unique advantages and limitations of X‐ray CT technology on the quality inspection of agricultural products. Future prospects of X‐ray CT technology are also put forward to become indispensable to the quality evaluation and product development on agricultural products.

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“…In the field of food science, X‐ray micro CT has found wide application, as summarized by Schoeman et al . In cereals it has been used for the determination of the density and volume of the maize, 3D visualization of damage to wheat kernel internal structure by insect infestation and sprouting, rice strain characterization by differences in distribution of pore size, heating effects on rice kernels, and effects of roasting on the microstructure of wheat and maize …”

Section: Introductionmentioning

confidence: 99%

Application of an expert system of X‐ ray micro computed tomography imaging for identification of Sitophilus oryzae infestation in stored rice grains

Srivastava

Mishra

2019

Pest Management Science

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BACKGROUND The plausibility of image texture analysis to assess X‐ray images of S. oryzae‐infested rice after variable storage days (fresh, 45, 90, 135, 180 and 225 days) was investigated using an X‐ray micro computed tomography instrument. Subsequently, image acquisition, pre‐processing, and the extraction of the image textural features was done using volume graphics VGL 2.2 software. Morphological features (radius, diameter, volume, compactness, sphericity, defect volume, and voids) were extracted from the x, y, and z views of the rice grain and used as inputs for principal component analysis (PCA). RESULTS Clear grouping was observed between the fresh, 45 and 225‐day‐old S. oryzae‐infested rice grains with a classification accuracy of 88.34%. The voids (884 248.53 μm3) and defect volume distribution (137 428.04 μm3) were found to be the maximum in 225‐day‐old samples. The similarity or the distance indices values between fresh and 255‐day‐old S. oryzae‐infested rice samples were found to be 35 038.08, which resulted in clear discrimination between different storage days in S. oryzae‐infested rice grains. CONCLUSION This work contributes to the potential use of image texture analysis to aid in distinguishing S. oryzae‐infested rice grains from fresh rice grains. © 2019 Society of Chemical Industry

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A high-throughput X-ray micro-computed tomography (μCT) approach for measuring single kernel maize ( Zea mays L.) volumes and densities

Cited by 29 publications

References 20 publications

Grain and Nutritional Quality Traits of Southwestern U.S. Blue Maize Landraces

Grain and Nutritional Quality Traits of Southwestern U.S. Blue Maize Landraces

X‐ray computed tomography for quality inspection of agricultural products: A review

Application of an expert system of X‐ ray micro computed tomography imaging for identification of Sitophilus oryzae infestation in stored rice grains

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