• 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.

• Applied Biological Chemistry
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• v.51 no.1
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• pp.24-37
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• 2008

Yeast with excellent ferment ability was isolated and selected from wild grape to manufacture wild grape wine. Wild grape wine by SMR-3 isolated from wild grape was better than other strains in quality, such as high alcohol content and low acidity, residual sugar, organic acid and fusel oil content. Fermentation condition was optimized to manufacture wild grape wine with response surface methodology using isolated SMR-3 as an alcohol fermentation strain. As a result of culture conditions, 10.61% of alcohol content was expected under the conditions of $21.91^{\circ}C$ fermenting temperature, $21.48^{\circ}brix$ of initial sugar content, and 14.65 day of fermentation time. Residual sugar content showed the lowest value at $24.48^{\circ}C$ fermentation temperature, $12.78^{\circ}brix$ of initial sugar content, and 9.02 day fermentation time. The highest level of sensory evaluation was found at $20.23^{\circ}C$ fermentation temperature, $25.30^{\circ}brix$ of initial sugar content, and 5.94 day fermentation time. Ethyl alcohol was the main alcohol component in wild grape wine and fusel oil in wild grape wine was hardly detected; thus, the quality of wild grape wine was considered excellent. The optimal fermentation conditions of wild grape wine was superimposed by deriving a regression equation for alcohol content, fusel oil, ethyl alcohol content, and overall palatability for each variable of wild grape wine. Hence, the optimal fermentation conditions are estimated to be: fermentation temperature $24{\sim}28^{\circ}C$, initial sugar content $20{\sim}24^{\circ}brix$, and fermenting time $12{\sim}14$ days.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.35-43
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• 2021

Citrus quality is generally determined by its sugar content and acidity. In particular, sugar content is a very important factor because it determines the taste of citrus. Currently, the most commonly used method of measuring citrus sugar content in farms is a portable juiced sugar meter and a non-destructive sugar meter. This method can be easily measured by individuals, but the accuracy of the sugar content is inferior to that of the citrus NongHyup official machine. In particular, there is an error difference of 0.5 Brix or more, which is still insufficient for use in the field. Therefore, in this paper, we propose an AI model that predicts the citrus sugar content of unmeasured days within the error range of 0.5 Brix or less based on the previously collected citrus sugar content and meteorological data (average temperature, humidity, rainfall, solar radiation, and average wind speed). In addition, it was confirmed that the prediction model proposed through performance evaluation had an mean absolute error of 0.1154 for Seongsan area and 0.1983 for the Hawon area in Jeju Island. Lastly, the proposed model supports an error difference of less than 0.5 Brix and is a technology that supports predictive measurement, so it is expected that its usability will be highly progressive.

• Preventive Nutrition and Food Science
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• v.5 no.1
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• pp.32-36
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• 2000

Prickly pear juice(PPJ) extracted from prickly pear fruit (Opuntia ficus-indica)was used as raw material for the production of alcoholic beverages. Prickly pear juice (PPJ) had 0.88 oBrix of soluble solid, pH 3.96 and 0.14% of total acidity. Alcohol fermentation of 25% PPJ including 22 oBrix of sugar and 1$\times$106 of inoculum was suitable for alcohol fermentation indicating the rapid decrease of sugar content. The 22 oBrix of sugar in PPJ (25%)GJ (50%) mixture was changed to 6.5 oBrix after fermentation at 3$0^{\circ}C$ for 7 days. The alcohol content was 9.2% (w/v). PPJ (70%)/GJ (30%) mixture produced alcoholic beverage with 6.9% alcohol content resulting in the gradual decrease of soluble for 7 days. On the other hand, PPJ (50%)/GJ(50%) mixture carried out completely the alcohol fermentation at 22$^{\circ}C$ for 6 days and enhanced the red color of alcoholic beverages.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.4
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• pp.547-553
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• 2008

The principal objective of this study was to prepare watermelon wine with watermelon juice. For the manufacture of watermelon wine, we determined the contents of starting sugar content ($20^{\circ}Brix$, $25^{\circ}Brix$, $30^{\circ}Brix$, $35^{\circ}Brix$) and three different kinds of yeasts (EC-1118, K1-V1116, D-47). The main additives of the watermelon wine included $K_2S_2O_5$, $NH_4H_2PO_4$, bentonite, yeasts, sugar, mixed acid, and $C_6H_8O_2$. The watermelon wine was fermented at $15^{\circ}C$ until the remaining alcohol content was 5%. We assessed customers' preference regarding the manufactured watermelon wine via sensory evaluation. Three yeasts were shown to result in significantly different alcohol fermentation, among which K2-V1116 was selected for the preparation of the watermelon wine. In our sensory evaluation, the preference of the starting sugar contents was highest in the watermelon wine with $25^{\circ}Brix$ of sugar content. The preference of alcohol content was found to be higher in the watermelon wines prepared with sugar contents of 5% and 7%. The preference test between watermelon wines and purchased white wines demonstrated that the watermelon wine with an alcohol content of 5% was the most preferred wine, and the Chilean Late Harvest wine was the second most preferred.

• 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.

• Journal of the Korean Society of Industry Convergence
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• v.19 no.4
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• pp.237-244
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• 2016

This paper investigates the possibility to increase the economic value of the thinned young apple trough fermentation process. It is studies the optimal fermentation condition of thinned young apple by manipulating preparation treatment and sugar content. To do this following steps are done. Firstly, different preparation treatment for thinned young apple such as whole apple, cutting apple, and blending apple were done. The different sugar content such as $24^{\circ}Brix$, $15^{\circ}Brix$ and $4^{\circ}Brix$ was added. Secondly, the sugar contents and pH level were measured during fermentation process. Finally, statistical analysis was used to examine the relation between the preparation treatment, sugar content and pH level during the fermentation process. The experimental result shows that the different preparation treatment influences to the fermentation process. The blending apple treatment gave lower pH level compared to other kind treatments. The sugar content of thinned young apple was decrease during the fermentation process. The statistical analysis shows that the manipulation preparation treatment and sugar content affect the final pH level and whole fermentation process. Experimental result shows that the thinned young apple fermentation could be proposed as new alternative product in the market. The best fermentation process was obtained from blending thinned young apple treatment with $24^{\circ}Brix$.

• Korean journal of food and cookery science
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• v.14 no.1
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• pp.91-96
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• 1998

Growth of acrospire length from germinated covered barley with 1.5∼2.0 times length of buds had the highest amylase activity for 9 days at 15$^{\circ}C$. When the extraction of malt was carried out at 50$^{\circ}C$ for 3.5 hr., total sugar, reducing sugar, sweetness determined by refractometer and amylase activity were the highest, and 2.33%, 1.61%, 3.4 brix(%), 28,332 units, respectively. The sikhe saccharificated at 60$^{\circ}C$ for 8 hr. showed total sugar content increased to 3.90∼9.27% in nonwaxy rice, 4.19∼11.91% in waxy rice, and reducing sugar-content increased 3.30∼7.61% in nonwaxy rice, 3.31∼9.11% in waxy rice. Also, brix was increased to 3.6∼10.8 brix (%) in nonwaxy rice, 3.6∼12.8 brix(%) in waxy .ice, as saccharification time increased. The amylase activity was decreased as saccharification time was increased. And pH was gradually decreased according to time increase, however, it changed little after 4 hr. Morphology of cooked rice kernel during saccharification for sikhe gradually enlarged the oval for hydrolyzed starch granule by increasing saccharification time.

• Korean Journal of Food Science and Technology
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• v.37 no.6
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• pp.957-961
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• 2005

Spoilage yeast was isolated from spoiled rice-syrup and identified by Microbial Identification system (MIDI) as Zygosaccharomyces bailii based on composition of fatty acids exhibiting carbon skeleton of 16:0, 16.1 $({\Delta}cis\;7)$, 18:2 $({\Delta}cis\;9)$, 18:1 $({\Delta}cis\;9)$, and 18:1. Increase in sugar content $(1^{\circ}brix)$ resulted in decreased moisture concentration (1%), and water activity decreased from 0.72 to 0,63 when sugar concentration increased from 77 to $83^{\circ}brix$. Yeast showed very slow growth during three weeks post-inoculation in rice-syrup at 17 and $79^{\circ}brix$, and maximal level of Z. bailii was found at 6 and 10 weeks storage at 15 and $25^{\circ}C$, respectively. At over $81^{\circ}brix$ its growth slowly decreased at beginning of storage, indicating rice-syrup could be preserved safely at above $81^{\circ}brix$ sugar content without Z. bailii contamination.

• Korean Journal of Food Science and Technology
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• v.34 no.1
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• pp.30-36
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• 2002

To use overproduction muskmelon effectively, muskmelon vinegar was prepared by two stage fermentations of alcohol and acetic acid. In the alcohol fermentation using muskmelon, alcohol content showed maximum value (7.47%) in $17.83^{\circ}Brix$ of initial sugar concentration and 82.65 h of fermentation time. Acetic acid content in alcohol fermentation revealed minimum value (0.46%) in $12.17^{\circ}Brix$ of initial sugar concentration and 60.56 h of fermentation time. The fermentation conditions for minimum residual sugar were $10.02^{\circ}Brix$ of initial sugar concentration and 105.61 h of fermentation time. The optimum conditions predicted for each corresponding physical properties of acetic acid fermentation were 200 rpm (agitation rate), 250 h (fermentation time) in acetic content and 200 rpm, 150 h in residual alcohol content.