Internal quality evaluation of chestnut using nuclear magnetic resonance
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Soo Hyun Park
Abstract
This study was carried out to develop a prediction model for soluble solid content (SSC) of intact chestnut and to detect internal defects using nuclear magnetic resonance (NMR) relaxometry and magnetic resonance imaging (MRI). Inversion recovery and Carr–Purcell–Meiboom–Gill (CPMG) pulse sequences used to determine the longitudinal (T1) and transverse (T2) relaxation times, respectively. Partial least squares regression (PLSR) was adopted to predict SSCs of chestnuts with NMR data and histograms from MR images. The coefficient of determination (R2), root mean square error of prediction (RMSEP), ratio of prediction to deviation (RPD), and the ratio of error range (RER) of the optimized model to predict SSC were 0.77, 1.41 °Brix, 1.86, and 11.31 with a validation set. Furthermore, an image-processing algorithm has been developed to detect internal defects such as decay, mold, and cavity using MR images. The classification applied with the developed image processing algorithm was over 94% accurate to classify. Based on the results obtained, it was determined that the NMR signal could be applied for grading several levels by SSC, and MRI could be used to evaluate the internal qualities of chestnuts.
Funding source: Korea Institute of Science and Technology
Award Identifier / Grant number: 501100007107
Acknowledgments
This works was supported by an intramural grant (2Z06110) from the Korea Institute of Science and Technology.
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
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- Effects of particle formation behavior on the properties of fish oil microcapsules fabricated using a micro-fluidic jet spray dryer
- Predicting the moisture content of Daqu with hyperspectral imaging
- The effects of reaction parameters on the non-enzymatic browning reaction between l-ascorbic acid and glycine
- Internal quality evaluation of chestnut using nuclear magnetic resonance
- Effect of microwave-drying on the quality and antioxidant properties of Ganoderma lucidum fermented sea-buckthorn tea
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Articles in the same Issue
- Frontmatter
- Articles
- Screening and characterisation of β-glucosidase production strains from Rosa roxburghii Tratt
- Correction of residence time distribution measurements for short holding times in pasteurization processes
- Effects of particle formation behavior on the properties of fish oil microcapsules fabricated using a micro-fluidic jet spray dryer
- Predicting the moisture content of Daqu with hyperspectral imaging
- The effects of reaction parameters on the non-enzymatic browning reaction between l-ascorbic acid and glycine
- Internal quality evaluation of chestnut using nuclear magnetic resonance
- Effect of microwave-drying on the quality and antioxidant properties of Ganoderma lucidum fermented sea-buckthorn tea
- The use of beetroot extract and extract powder in sausages as natural food colorant
