• Journal of Biosystems Engineering
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• v.20 no.3
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• pp.299-306
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• 1995

This study was carried to find out relationships between water content and sugar content in fruit and vegetables and present the possibility of estimating sugar content by measuring water content. Water content and sugar content of melons, peaches, and apples were measured. Both F-test and linear regression analysis on the experimental data were done. The regression models were developed and validated. The results were summarized as follow : 1. According to the F-test, the coefficients of determinant were greater than 0.8, and significance probability was less than 0.0001 in each materials. 2. According to the regression analysis of melons, peaches, and apples, the standard errors of calibration(SEC) were 0.67 brix%, 0.82 brix%, and 0.72 brix%, respectively. 3. The standard errors of prediction(SEP) were 0.76 brix%, 1.03 brix%, and 0.77 brix%, respectively. 4. The relationship between sugar content and water content in apple was successfully applied to measure the sugar content from hydrogen NMR spectrum of apple samples.

• Journal of Plant Biotechnology
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• v.45 no.2
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• pp.90-101
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• 2018

Strawberry (Fragaria ${\times}$ ananassa) is a globally-cultivated and popular fruit crop, prized for its flavor and nutritional value. Sweetness, a key determinant of fruit quality, depends on the sugar composition and concentration. We selected eight strawberry cultivars based on the fruit soluble solids content to represent high and low sugar content groups. The average soluble solid content was $13.6^{\circ}Brix$ (Okmae, Geumsil, Aram, and Maehyang) and $2.9^{\circ}Brix$ (Missionary, Camino Real, Portola, and Gilgyung53), for the high and low sugar content groups, respectively. Sucrose was the main sugar in the cultivars with high sugar content, whereas fructose was the main component in the low sugar content cultivars. Fruit starch concentration ranged from $3.247{\pm}0.056$ to $3.850{\pm}0.055g/100g$, with a 12% higher concentration in the high sugar content cultivars. Additionally, we identified 41 sugar metabolism-related genes in Fragaria ${\times}$ ananassa and analyzed the relationship between their transcripts and the sugar accumulation in fruit. FaGPT1, FaTMT1, FaHXK1, FaPHS1, FaINVA-3, and FacxINV2-1 were highly expressed in the high sugar content cultivars, while FapGlcT, FaTMT2-1, FaPHS2-1, FaSUSY1-1, and FaSUSY1-2 were highly expressed in the low sugar content cultivars. In general, a greater number of genes encoding sugar transporters or involved in sugar synthesis were highly expressed in the high sugar content cultivars. Contrarily, genes involved in sugar degradation were preferentially transcribed in the low sugar content cultivars. Although gene expression was not perfectly proportional to sugar content or concentration, our analysis of the genes involved in sugar metabolism and accumulation in strawberries provides a framework for further studies and for the subsequent engineering of sugar metabolism to enhance fruit quality.

• Horticultural Science & Technology
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• v.31 no.3
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• pp.269-274
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• 2013

To further our understanding of sugar accumulation in 'Shiranuhi' mandarin [(C. unshiu ${\times}$ C. sinensis) ${\times}$ C. reticulate], we investigated the patterns of sugar uptake in juice sacs exposed to different concentrations of sucrose, fructose and glucose in vitro. Data was also collected on the change in weight and shape of the in vitro juice sacs over time. Soluble solids content, sugar content and acidity content were highest at 20% sucrose, fructose and glucose solution content; while fructose content was highest at 5% sucrose concentration. Furthermore, the juice sac's fresh weight was highest at 5% sucrose and lowest at 20% fructose content. The shape of the juice sacs also differed in different sugar concentration and type. Overall, sucrose, fructose and glucose content in juice sacs increased with the sugar concentration. These results suggest that sugar translocation into juice sacs is actively induced by high sugar concentration in the medium. Thus, it can be concluded that sugar and acid accumulation in juice sacs increased with sugar concentration in vitro culture.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.192-192
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• 2022

Sweetpotato is rich in starch, which is converted to sugar during storage due to enzymatic hydrolysis. The sugar content of sweetpotato is a component related to taste and storability. In this study, the sugar content (fructose, glucose, maltose, sucrose and total sugar content) of 94 genotypes was evaluated and the GWAS (Genome-Wide Association Study) was conducted to search for candidate genes for sugar content. The fructose and glucose content were 0.2 ~ 8.8 and 0.2 ~ 9.4 g/100g, respectively. The maltose, sucrose and total sugar content were 0.2 ~ 9.1,3.2 - 30.0 and 7.9 ~ 40.2 g/100g, respectively. The fructose and glucose showed a positive correlation (0.98). The 94 genotypes were genotyped with genotyping-by-sequencing (GBS) and aligned against the reference genome sequences of sweetpotato. The GBS libraries from 94 genotypes were sequenced on an Illumina HiSeqXten system, and 1,339,892 SNPs (Single Nucleotide Polymorphism) were generated. Filtering for < 60% missing rate and > 0.05 minor allele frequency resulted in a total of 44,255 SNPs used in GWAS. The GAPIT (Genome Association and Prediction Integrated Tool) was used to conduct based on the mean of sugar content with a Bonferroni-corrected chromosome-wide significance threshold with a -logio(P) of 5.95. The significant SNPs were obtained with fructose (seven), glucose (six), maltose (four) and sucrose (nine). There were several genes related to sugar content around the significant SNPs such as sugar transport protein 8-like, probable galactose-1 -phosphate uridyltransferase-like and beta-amylase. These results will contribute to understanding of sugar content and conversion in sweetpotato.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.325-333
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• 1996

This study was conducted to develop neural networks of predicting the sugar content of fruits based on the optical densities obtained from a spectrophotometer. Pear, apple and peach were used in investigating the feasbility of the developed neural networks as a nondestructive measurement. A spectrophotometer was used to measure the optical densities of test fruits. The neural networks suggested in this study consisted of multi-layers having one hidden layer and one output layer. The correlation coefficients between the predicted and the measured sugar content for most fruits were high. The neural networks using 2nd derivatives of optical density spectrum produced a better results in predicting the sugar content of fruits. This study contributed to develop a method for nondestructively predicting the sugar content of fruits.

• Journal of Sensor Science and Technology
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• v.29 no.6
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• pp.433-439
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• 2020

Recently, the need for IoT-based intelligent systems is increasing in various fields. In this study, we implemented the system that automatically measures the sugar content of fruits without damage to fruit's marketability using near-infrared radiation and machine learning. The spectrums were measured several times by passing a broadband near-infrared light through a fruit, and the average value for them was used as the input raw data of the machine-learned DNN(Deep Neural Network). Using this system, he sugar content value of fruits could be predicted within 5 s, and the prediction accuracy was about 93.86%. The proposed non-destructive sugar content measurement system can predict a relatively accurate sugar content value within a short period of time, so it is considered to have sufficient potential for practical use.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.282-282
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• 2017

The many factors such as sugar content, moisture, type of bacteria which predominate, buffering capacity, packing and sealing are known to be associated with silage fermentation quality. Among the sugar content are particularly important, because effective silage ensiling relies on the fermentation of sugar content to lactic acid by lactic acid bacteria. Sugar content is also known to affect the protein utilization of rumen. This study was conducted to observe the effect of water soluble carbohydrates on fermentation characteristics and in vitro digestibility of whole crop wheat silage. This experiment was used standard cultivars (Cheongwoo, Hordeum balgare L) and solid breeding line of whole crop wheat. The materials harvested at the 30 after heading day and chopped for making silage, and using this silage carried out in vitro digestibility for 6, 12, 24 and 48 hours. For the feed value, crude protein, NDF, ADF contents showed slightly higher than the before ensiling and TDN contents were slightly lower compared to the before ensiling, but did not show the significantly different. For the sugar contents, fructose and glucose contents were decreased in the after ensiling compared to the before ensiling, there were more reduced at the containing high sugar content wheat. The pH value was lower at containing high sugar content wheat. lactic acid content was significantly higher at the containing high sugar content wheat. Therefore, there was profitable to the production of high quality wheat silage at the higher the sugar content. In in vitro digestibility test, containing high sugar content HW34line showed significantly higher dry matter digestibility at 6 and 12 hours of incubation and amount of NH3-N lower other line in all incubation time. Therefore, there was profitable to the production of high quality wheat silage at the higher the sugar content.

• Journal of the Korean Society of Tobacco Science
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• v.13 no.1
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• pp.27-35
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• 1991

These studies were conducted to investigate the changes of starch, sugar and nicotine content in relation to maturity and cultural conditions and correlation between growth characteristics and chemical components in order to improve the leaf quality. The results were summarized as follows; 1. Nicotine content, total nitrogen content and the ratio of total nitrogen to nicotine of the green leaf were increased with heavier fertilizer, wider planting space and lower topping, whereas starch, total sugar and the ratio of sugar to nicotine were decreased. 2. Starch content, sugar content and the ratio of total sugar to nicotine(T-S/Nic) in the cured leaf were decreased with milder planting space, less application of MH and delaying harvesting date. 3. It was estimated that 58.1% of starch of the harvested leaf was converted into sugar of the cured leaf, and also they were significantly correlated each other.

• Korean journal of food and cookery science
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• v.24 no.2
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• pp.206-211
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• 2008

This study investigated the feasibility of manufacturing a low-sugar wild vine jam by examining viscosity, water content, and pH, as affected by sugar and pectin content. The jams were prepared by adding various amounts of sucrose, glucose, or fructose (1.89 M, 2.34 M, 2.63 M, or 2.92 M) and/ or pectin (0%, 0.3%, 0.5%, 0.8%, or 1%) to wild vine juice and heating at $90^{\circ}C$ for 3 hrs. A higher viscosity was shown for the jam manufactured with sucrose as compared to those made with glucose or fructose, and the greater the sucrose level the higher the viscosity of the jam. The jam with 50% reduced sugar content showed a similar viscosity to the control jam, which contained only 2.92 M sucrose, when the sugar was co-added with pectin at 0.5% for the low sucrose jam, and at 0.8% for the low glucose or low fructose jams, respectively. The water content of the low sucrose jam was lower than that of the low glucose or low fructose jams, and adding pectin had no significant effect on the water content of the low sugar jam. The pH levels of the jams were not significantly different, regardless of the type and concentration of sugar, temperature, or pectin addition, and ranged between 3.6 and 3.8. Overall, the results clearly show that wild vine jam with 50% reduced sugar content and having the same viscosity as control jam, can be manufactured when pectin and sugar are added together.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1526-1526
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• 2001

To improve the accuracy of sweetness sensor in automated sorting operations, it is necessary to clarify unevenness of the sugar content distribution within fruits. And it is expected that the technique to evaluate the content distribution in fruits contribute to the development of the near-infrared (NIR) imaging spectroscopy. Sugiyama (1999) had succeeded to visualize the distribution of the sugar content on the surface of a half-cut green fresh melon. However, this method cannot be applied to red flesh melons because it depends on information of the absorption band of chlorophyll (676 nm), which is affected by the color of the fresh. The objective of this study was to develop the universal visualization method depends on the absorption band of sugar, which can be applied to various kinds of melons and other fruits. The relationship between the sugar contents and absorption spectra of both green and red fresh melons were investigated by using a NIR spectrometer to determine the absorption band of sugar. The combination of 2$\^$nd/ derivative absorbances at 902 nm and 874 nm was highly correlated with the sugar contents. The wavelength of 902 nm is attributed to the absorption band of sugar. A cooled charge-coupled device (CCD) imaging camera which has 16 bit (65536 steps) A/D resolution was equipped with rotating band-pass filter wheel and used to capture the spectral absorption images of the flesh of a vertically half-cut red fresh melon. The advantage of the high A/D resolution in this research is that each pixel of the CCD is expected to function as a detector of the NIR spectrometer for quantitative analysis. Images at 846 nm, 874 nm, 902 nm and 930 nm were acquired using this CCD camera. Then the 2$\^$nd/ derivative absorbances at 902 nm and 874 nm at each pixel were calculated using these four images. On the other hand, parts of the same melon were extracted for capturing the images and squeezed for the measurement of sugar content. Then the calibration curve between the combination of 2$\^$nd/ derivative absorbances at 902 nm and 874 nm and sugar content was developed. The calibration method based on NIR spectroscopy techniques was applied to each pixel of the images to convert the 2$\^$nd/ derivative absorbances into the Brix sugar content. Mapping the sugar content value of each pixel with linear color scale, the distribution of the sugar content was visualized. As a result of the visualization, it was quantitatively confirmed that the Brix sugar contents are low at the near of the skin and become higher towards the seeds. This result suggests that the visualization technique by the NIR imaging spectroscopy could become a new useful method fer quality evaluation of melons.