Detection of rice seed vigor by low-field nuclear magnetic resonance

Song, Peng; Peng, Song; Yang, Hongwei; Yang, Tao; Xu, Jie; Wang, Kaitian

doi:10.25165/j.ijabe.20181106.4323

Cited by 14 publications

(16 citation statements)

References 10 publications

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“…After 24 h of water adsorption by coal samples, 1 H NMR spectroscopy was utilized to acquire the T 2 inversion spectra of SL and SL +2 , in which the relaxation time T 2 revealed the state and degrees of freedom of water. The signal peak in the T 2 relaxation inversion spectrum between 0.001–0.01 s was semibound water, whereas the signal peak between 0.01–0.1 s corresponded to free water . A direct correlation was observed between water mobility and the relaxation time of water and vice versa .…”

Section: Results and Discussionmentioning

confidence: 88%

“…The signal peak in the T 2 relaxation inversion spectrum between 0.001−0.01 s was semibound water, whereas the signal peak between 0.01−0.1 s corresponded to free water. 30 A direct correlation was observed between water mobility and the relaxation time of water and vice versa. 31 The two coal samples displayed main signal peaks in the range of 0.01−1 s after adsorbing moisture, as demonstrated in Figure 4, and the existing state of coal samples after the reabsorption of water was predominantly free water.…”

Section: Analysis Of the Influence Of Microstructure On The Interacti...mentioning

confidence: 92%

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Enhancement Mechanism of Minerals on Lignite–Water Molecule Interactions

et al. 2023

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Five coal samples were prepared by deashing Shengli lignite in distinct phases, which consisted of residual ash from spontaneous combustion. The effects of removal and introduction of inherent minerals on the water reabsorption performance of coal samples were systematically investigated in three aspects: pore structure, oxygen-containing functional groups, and lignite materials. Low-field nuclear magnetic resonance spectroscopy was employed to investigate the changes in the water molecular adsorption tendency of coal samples with the variation in the mineral content. The study elucidates that the hygroscopic performance of the coal samples is significantly reduced due to the massive removal of inherent minerals. However, the pore structure of the coal samples after HCl/HF washing becomes more developed, and the oxygen-containing functional groups on the surface are more exposed, leading to an increase in the equilibrium adsorbed moisture content (EMC) of the coal samples. The binding force between coal samples and water molecules is reduced by the removal of the inherent minerals, which weakens the interaction forces between lignite and water molecules. The oxygen-containing functional groups on the surface of lignite interact with the residual ash from spontaneous combustion to enhance the binding force between lignite and surface water molecules, thus leading to the improved tendency of lignite to adsorb water molecules. The formation of intermediate complexes between minerals and oxygen-containing functional groups, in particular, carboxyl functional groups, on the surface of lignite enhances the acting force of polar sites, which improves the interaction of lignite–water molecules.

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Section: Results and Discussionmentioning

confidence: 88%

Section: Analysis Of the Influence Of Microstructure On The Interacti...mentioning

confidence: 92%

Enhancement Mechanism of Minerals on Lignite–Water Molecule Interactions

et al. 2023

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“…The loss of bound water destroys the internal structure and membrane of Q.acutissima seed tissues and the decomposition of other substances, resulting in further damage to the seeds. Using low-eld NMR to identify rice seed vigor, Song et al [39] also concluded that the bound water content of rice seeds with lower vigor is lowered. These studies suggest that the loss of bound water gradually causes the water stress injury to the seeds to become permanent, leading to seed mortality.…”

Section: Correlation Between Variations In the Content Of Different W...mentioning

confidence: 99%

Investigation of changes in water status and distribution of Quercus acutissima seeds during desiccation using LF-NMR and MRI methods

Chen

Shen²

2022

Preprint

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Background The Quercus acutissima seed is a typical temperate recalcitrant seed; storing the seeds for longer than a year after maturation and shedding is challenging because they are sensitive to water loss. Therefore, research on the Q.acutissima seed water loss site and the dynamic changes in seed water status during desiccation can offer a theoretical foundation for the storage of these seeds safely as well as a reference for the mechanism study of recalcitrant seeds. Results The site of water loss in Q.acutissima seeds was explored using nuclear magnetic resonance imaging combined with the results of scanning electron microscopy of the seed coat. The results showed that the micropyle and the scar were identified as the main water loss sites of Q.acutissima seeds. The LF-NMR tests indicated that water in the Q. acutissima seeds exists in three states: free water, immobile water, and bound water. The effects of each water status on seed vigor were also analyzed with the changes in seed germination rate during desiccation. During desiccation, both the bound and free water of Q.acutissima seeds were lost significantly, resulting in the death of the seeds. Finally, the relationship between the transverse relaxation signal and the water content of Q.acutissima seeds during drying is established, providing a foundation for quick and nondestructive assessment of Q.acutissima seed water content. Conclusion Rapid and non-destructive monitoring of the drying process of Q. acutissima seeds is made possible by MRI and NMR technology. By conducting them, we can determine the sites of water loss, the migration rules of different water statuses during seed drying, and the relationship between the causes of seed desiccation sensitivity and changes in water status.

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“…As a result of the low efficiency and complicated operation, the applications for seed detection based on these methods were limited [10]. Fortunately, recent studies showed that spectroscopy based techniques, such as near-infrared spectroscopy [17][18][19], nuclear magnetic resonance spectroscopy [20,21], photoacoustic spectroscopy [22], hyperspectral [23], multispectral [24], and Fourier transform near-infrared spectroscopy [25], have been developed and achieved successful applications. Especially, hyperspectral imaging (HSI) is a new technology that can record spectral and spatial information about the research object at the same time by integrating traditional images and spectral technology, a feature which is important for seed detection [10].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

Cui

Cheng

et al. 2020

Sensors

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Vigor identification in sweet corn seeds is important for seed germination, crop yield, and quality. In this study, hyperspectral image (HSI) technology integrated with germination tests was applied for feature association analysis and germination performance prediction of sweet corn seeds. In this study, 89 sweet corn seeds (73 for training and the other 16 for testing) were studied and hyperspectral imaging at the spectral range of 400–1000 nm was applied as a nondestructive and accurate technique to identify seed vigor. The root length and seedling length which represent the seed vigor were measured, and principal component regression (PCR), partial least squares (PLS), and kernel principal component regression (KPCR) were used to establish the regression relationship between the hyperspectral feature of seeds and the germination results. Specifically, the relevant characteristic band associated with seed vigor based on the highest correlation coefficient (HCC) was constructed for optimal wavelength selection. The hyperspectral data features were selected by genetic algorithm (GA), successive projections algorithm (SPA), and HCC. The results indicated that the hyperspectral data features obtained based on the HCC method have better prediction results on the seedling length and root length than SPA and GA. By comparing the regression results of KPCR, PCR, and PLS, it can be concluded that the hyperspectral method can predict the root length with a correlation coefficient of 0.7805. The prediction results of different feature selection and regression algorithms for the seedling length were up to 0.6074. The results indicated that, based on hyperspectral technology, the prediction of seedling root length was better than that of seed length.

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Detection of rice seed vigor by low-field nuclear magnetic resonance

Cited by 14 publications

References 10 publications

Enhancement Mechanism of Minerals on Lignite–Water Molecule Interactions

Enhancement Mechanism of Minerals on Lignite–Water Molecule Interactions

Investigation of changes in water status and distribution of Quercus acutissima seeds during desiccation using LF-NMR and MRI methods

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

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