2018
DOI: 10.1016/j.saa.2018.04.026
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Rapid and visual detection of the main chemical compositions in maize seeds based on Raman hyperspectral imaging

Abstract: Rapid and visual detection of the chemical compositions of plant seeds is important but difficult for a traditional seed quality analysis system. In this study, a custom-designed line-scan Raman hyperspectral imaging system was applied for detecting and displaying the main chemical compositions in a heterogeneous maize seed. Raman hyperspectral images collected from the endosperm and embryo of maize seed were acquired and preprocessed by Savitzky-Golay (SG) filter and adaptive iteratively reweighted Penalized … Show more

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Cited by 50 publications
(26 citation statements)
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“…However, they could also suggest that the germ is rich in proteins, since these two bands are common for both oil and protein (Figures 7a and 8). These results suggest that the germ has a high concentration of oil and protein similar to that of other cereals such as wheat and corn (Hoseney & Delcour, 2010a; Yang et al., 2018). The grains (droplets) visible in the scutellum (Figure 6b,d) are a mix of oil and proteins.…”
Section: Resultsmentioning
confidence: 83%
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“…However, they could also suggest that the germ is rich in proteins, since these two bands are common for both oil and protein (Figures 7a and 8). These results suggest that the germ has a high concentration of oil and protein similar to that of other cereals such as wheat and corn (Hoseney & Delcour, 2010a; Yang et al., 2018). The grains (droplets) visible in the scutellum (Figure 6b,d) are a mix of oil and proteins.…”
Section: Resultsmentioning
confidence: 83%
“…This confirms the presence of proteins in the bran and made it challenging to comment on availability of oil in this layer. The Raman spectrum of the bran (Figure 10b) showed an outstanding band at ~1,599 cm −1 that is characteristic to lignin (Yang et al., 2018). Lignin, as one of the major constituents of the bran, has been reported elsewhere (“GRAS Notice (GRN) No.…”
Section: Resultsmentioning
confidence: 99%
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“…Efforts have been made to design a classification-system for plant embryos that uses a logistic regression model based on image or spectral data correlated with various quality aspects (Timmis and Toland, 2009). The possibilities to utilize spectral imaging have recently been demonstrated for analyses of chemical composition of intact maize kernels (Yang et al, 2018). Furthermore, the future perspective of utilizing hyperspectral imaging has the possibility to further distinguish detailed characteristics of mature embryos likely to germinate and form plants (Lu and Fei, 2014).…”
Section: State Of the Art And Future Perspectivesmentioning
confidence: 99%
“…Qin et al [ 13 ] developed a bench-top point-scan Raman chemical imaging system to detect and visualize the internal distribution of lycopene in postharvest tomato, and established a Raman chemical image to visualize the spatial distribution of lycopene at different stages of maturity. Yang et al [ 14 ] used a custom row-scan Raman hyperspectral imaging system to detect and display the main chemical components of maize seeds. The characteristic peaks associated with corn starch, mixture of oil and starch, zeaxanthin, lignin and oil were found.…”
Section: Introductionmentioning
confidence: 99%