• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.10a
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• pp.148.1-148
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• 2003

버섯은 균사체와 자실체를 가진 고등균류로서 옛날부터 식용은 물론 약용으로 많이 사용되어 왔으며 부작용이 없는 저칼로리 식품으로서, 영양적인 측면과 의약품으로서의 효능을 가진 식품으로 인식되어 소비량이 날로 증가하는 추세이다. 버섯은 항균자용, 항암작용, 면역증강작용, 혈압강하 효과 및 혈중 콜레스테롤합성 억제효과 등의 다양한 생리활성을 나타내고 있어 국내에서도 버섯의 균사체 배양이 활기를 띄고 있다. 본 연구에서는 5종류의 버섯(아가리쿠스, 상황, 노루궁뎅이, 운지, 동충하초)의 균사체 배양원액을 10%, 30%, 50%, 100% 함유한 음료로서 전자공여능, 아질산염소거능, MDA cell과 A549 cell에 대한 암세포 증식억제 작용을 조사하였다. 5종류의 버섯 균사체 음료의 전자공여능은 발효원액을 30% 함유한 경우에 72∼89%였으며 100% 원액의 경우는 87∼93%의 탁월한 항산화능을 나타내었다. 균사체 음료의 아질산염 소거능은 노루궁뎅이버섯이 가장 높아서 균사체 원액은 73%, 112 희석액은 51%였으며 다음은 동충하초의 균사체 원액이 52%를 나타내었고 나머지 3종류의 버섯 균사체는 28∼36%의 아질산염소거능을 나타내었다. 균사체 발효음료 원액은 MBA cell에 대하여 5종류의 버섯 모두에서 82∼85%의 높은 암세포 증식억제작용을 나타내었고 동충하초는 1/2 희석액에서도 80%이상의 증식억제활성을 나타내었다. 균사체 발효음료 원액의 A549 cell에 대한 증식억제능은 동충하초 발효원액이 68%, 상황 발효원액이 50%로서 MDA cell에 대한 증식억제효과 보다는 효능이 낮은 편이었다. 전체적으로 5종류의 버섯 균사체 발효음료는 항산화작용, 아질산염소거능, 항암활성이 우수한 기능성 음료로 활용될 수 있을 것으로 생각된다.적으로 평가하는데 적합하나 아직 국내에선 X-선을 이용한 가공용 감자의 내부 결함특성에 대한 연구는 이뤄지지 않고 있다. 이에 본 연구에서는 가공용 감자의 내부결함 특성중 하나인 내부동공의 X-선에 의한 특성을 본 연구소에 있는 X-선 발생장비로 측정해 보고 비파괴적인 방법으로 실시간 가능성을 시험하였다. 감자는 수원 농산물 도매시장에서 2003년산 가공용 감자 (품종:선농)를 구매하여 사용하였다. 감자내 내부동공은 35 ∼ 40 kV와 5.25 mA값으로 발생된 X-선에 의해 잘 검출되는 것으로 나타나, 현장에서 충분히 활용가능 할 것으로 판단되었다. 금후, 실시간으로 내부동공을 검출할 수 있는 시스템을 개발할 계획이다.정한 결과 메탄올에서는 5% 농도차이가 그 추출효율에 유의적인 영향을 주지 않는 것으로 나타났다. 에탄올에서는 40%에서 가장 높은 함량이 측정되었고 아세톤에서는 50%에서 측정되었다. 따라서 시료의 상태와 상관없이 배 과피의 페놀성물질 추출용매로는 40∼70%의 함수 아세톤이 적합한 것으로 사료된다.en delicious는 상온에서60일 동안 보관하였을 경우, 사과표피의 색도 변화를 현저히 지연시킴을 확인하였다. 또한 control과 비교하여 성공적으로 사과에 코팅하였으며, 상온에서 보관하여을 때 사과의 품질을 30일 이상 연장하는 효과를 관찰하였다. 이들 결과로부터 대두단백질 필름이 과일 등의 포장제로서 이용할 가능성을 확인하였다.로 [-wh] 겹의문사는 복수 의미를 지닐 수 없 다. 그러면 단수 의미는 어떻게 생성되는가\ulcorner 본 논문에서는 표면적 형태에도 불구하고 [-wh]의미의 겹의문사는 병렬적 관계의 합성어가 아니라 내부구조를 지니지 않은 단순한 단어(minimal $X^{0}$ elements

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.10a
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• pp.194.1-194
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• 2003

본 연구는 수출방법의 개선과 절임 가공식품의 개발하고 일본 수출용으로 재배하고 있는 가지 품종의 최적 염절임 방법과 더불어 절임가지의 저장중에 물성 및 일반성분의 변화를 조사하였다. 절임가지의 명도와 황색도는 저장기간이 길어질수록 모든 조건에서 증가하지만, 진공포장한 절임가지의 명도와 황색도는 침지 저장한 것에 비해 변화 정도가 작았다. 절임가지의 염도는 절임 초기에는 축양 품종과 시키부 품종에서 각각 24.67, 20.27% 이었으며, 진공포장한 것은 저장 5일 이후에는 변화가 없었으나 침지 저장한 것에는 저장 중에 계속 감소하였다. pH의 변화는 품종과 저장방법에 관계없이 저장중에 감소하였으며, 수분함량은 절임중에 급격하게 감소하여 축양 품종과 시키부 품종에서 각각 79.93, 82.56% 이었으며, 진공 포장하여 저장한 절임가지에서는 5일째에 증가하였고 이후에는 변화가 없었으나, 침지 저장 방법에서는 두 품종 모두 15일까지 증가하였다. 또한 수용성 단백질 함량의 변화도 수분함량의 변화와 비슷하였다. 비타민 C의 함량은 생가지 보다 두 품종 모두 최적조건으로 염절 임 한 가지에서 높아 축양 품종과 시키부 품종에서 각각 21.41, 24.53mg/100g 이었으며, 저장기간 동안 그 함량이 감소하였고, 진공포장 저장한 방법이 침지 저장한 방법에 비해 감소하는 경향이 적었다. 저장기간에 길어질수록 나트륨과 마그네슘의 함량은 감소하였으나 반대로 칼륨의 함량은 증가하였고 특히 침지 저장한 방법에서 이와 같은 변화가 두드러졌다. 두 품종의 절임가지의 저장방법과 저장기간에 따른 물성 및 성분의 변화를 조사한 결과, 진공포장하는 것이 절임가지의 품질 유지할 수 있는 것으로 생각된다.부로 유출되어 균체의 생육이 억제되며 성장을 저해 또는 사멸시키는 것으로 나타났다. 대장균수는 우유, 달걀 및 콩나물의 모든 처리구에서 BAAG의 첨가에 의해 성장이 억제되었으며 농도가 증가시킬수록 균증식 억제 효과가 뚜렷하였으며, 총균수도 압도적으로 낮은 간을 보여주었다. 달걀의 조단백함량의 변화는 BAAG를 처리하지 않은 무처리 대조구에 비하여 침지 처리한 경우가 조단백 변화가 크지 않았다. 즉, BAAG의 침지 처리한 경우, 저장기간 14일이 경과 한 후에 10%정도의 수준으로 감소한데 반하여, 무처리구인 대조구의 경우, 23%수준으로 감소 증도가 증가하였다. 외관상의 변화와 상품 가치를 측정한 결과는 달걀의 경우, 14일이 경과후에는 무처리 대조구에서 흰자위의 감소와 노른자위와의 경계가 뚜렷하지 못하여 상품으로서의 가치가 크게 떨어진 상태였다. 우유의 경우에는 4$^{\circ}C$와 2$0^{\circ}C$에 저장된 대조구에서는 각각 3일과 12일경과 후 강한 부패취와 아울러, 표피의 갈변정도가 심하되어 관능적으로 부패상태를 인지할 수 있었다. 콩나물의 경우도 저장3일 경과 후에 부패취와 함께 점질성 갈변물질이 생성되었다. 이와 같은 결과로 볼 때, BAAG의 처리는 BAAC의 경우보다 가격은 저렴하면서도 항균력은 우수한 천연 항균복합제재로써 농산물 식품원료에 적용하여 선도유지 기간을 연장할 수 있는 효과를 기대할 수 있었다. 과일 등의 포장제로서 이용할 가능성을 확인하였다.로 [-wh] 겹의문사는 복수 의미를 지닐 수 없 다. 그러면 단수 의미는 어떻게 생성되는가\ulcorner 본 논문에서는 표면적 형태에도 불구하고 [-wh]의미의

• The Korean Journal of Pesticide Science
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• v.19 no.1
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• pp.47-53
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• 2015

Various diseases occur in fruits, leave and roots during strawberry cultivation and cause severe economical damage and huge amount of chemical fungicide use. Recently, as consumers' interest in safety of foods and organic agriculture produces have increased, control measures using alternatives for chemical fungicides have been newly developed in various ways. This study was conducted to test antifungal activity and control effect of sodium dichloroisocyanurate (NaDCC), using as disinfectants, against major disease pathogens of strawberry, Fusarium oxysporum (Fusarium wilt), Colletotrichum gloeosporioides (Anthracnose) and Phytophthora sp. (Phytophthora blight), and Xanthomonas fragariae (bacterial angular leaf spot) and evaluate availability as environment-friendly materials. When NaDCC was treated at the concentration range of 150 to 300 ppm, it suppressed significantly hyphal growth and reduced spore germination by more than 28%. In field condition, NaDCC showed excellent control effect (control value: 50%) against the bacterial angular leaf spot disease. Based on above-described results, we suggested that NaDCC can be used as alternative candidates to chemical pesticide alternatives of for controlling strawberry diseases.

• Food Engineering Progress
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• v.15 no.4
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• pp.324-331
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• 2011

Hyperspectral reflectance imaging technology was used to predict internal quality of cherry tomatoes with the spectral range of 400-1000 nm. Partial least square (PLS) regression method was used to predict firmness, sugar content, and acid content. The PLS models were developed with several preprocessing methods, such as normalization, standard normal variate (SNV), multiplicative scatter correction (MSC), and derivative of Savitzky Golay. The performance of the prediction models were investigated to find the best combination of the preprocessing and PLS models. The coefficients of determination ($R^{2}_{p}$) and standard errors of prediction (SEP) for the prediction of firmness, sugar content, and acid content of cherry tomatoes from green to red ripening stages were 0.876 and 1.875kgf with mean of normalization, 0.823 and $0.388^{\circ}Bx$ with maximum of normalization, and 0.620 and 0.208% with maximum of normalization, respectively.

• Journal of Life Science
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• v.32 no.6
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• pp.438-446
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• 2022

Some flowers have a high sensual appeal owing to their unique shape, color, smell, and taste and have been used as functional food and oriental medicine. Recently, edible dry flowers (EDFs) have attracted social attention as noble sources of functional teas. In this study, for the risk assessment of EDFs, pathogenic bacteria, heavy metals, and pesticide residues were monitored in 23 types of commercial EDF. No Enterobacteria spp. and Listeria spp. were found in all EDF products. However, common aerobic bacteria (3.24~3.85 Log CFU/g) were found in EDF, namely, Pueraria lobata, Chamaemelum nobile, Acacia decurrens, Rhododendron mucronulatum Turcz, Oenothera lamarckiana, Brassica napus, and Prunus serrulata. Staphylococcus aureus was found in 11 and Salmonella sp. was found in 8 of the 23 EDFs. Considering the cold extraction of EDF for tea and beverages, the regulation of pathogenic bacteria in EDFs is necessary. No heavy metals such as Pb, Cd, Co, Cr, Cu, Ni, and As were found in all EDFs, except the dry flower of Hemerocallis fulva, which contained Pb at 0.08 ppm. Different pesticides and fungicides were found in EDFs, but their concentrations were very low (0.01~0.08 ppm) and below the maximal residue level. Only the dry flower of Chrysanthemum morifolium had a high content of chlorpyrifos (0.215 ppm), which is long-lasting pesticide. Our results suggest that the establishment of EDF regulations for pesticide residue, culture separation between edible and garden flowers, and guidelines for preventing pathogenic microbial contamination are necessary.

• The Korean Journal of Mycology
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• v.1 no.2
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• pp.15-23
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• 1973

Mold producing cellulase were isolated from rotten woods, and identified as the three species: Aspergillus niger van Tieghem, Aspergillus schiemanni Thom and Trichoderma viride Pers. In this paper, culture conditions in the media and characteristics of these strains were investigated. Using these strains, we have conducted a research concerning the utilization of farm product waste materia's. 1. Optimum conditions for the cellulase formation were as follows. KM 10-1; pH 5.2-5.5, $35^{\circ}C$, incubation time 6 days. OL 11-1; pH 5.5, $30-35^{\circ}C$, incubation time 6 days. SH 9-2; pH 5.5, $30^{\circ}C$, incubatoin time 6 days. 2. Their cellulase activities in their optimum condition were as follows: KM 10-1; CMC-LP 78.5% CMC-SP 4.0 glucose mg/gm of the cultures/min. OL 11-1; CMC-LP 89.9%, CMC-SP 4.9 glucose mg/gm of the cultures/min. SH 9-2; CMC-I.P 77.4%, CMC-SP 3.9 glucose mg/gm of the cultures/min. 3. Hydrolysis of animal feed containing a large quantity (23-30%) of cellulose by means of the crude enzyme in the selected strains resolved 30% of the cellulose contained in the animal feed.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.127-146
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• 2017

Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.4
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• pp.375-383
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• 2009

This study was carried out to develop transgenic rice cultivars with the CAX1 (accession no. U57411) gene. We successfully selected the transgenic rice plants over-expressing the Arabidopsis H+/$Ca^{2+}$ antiporter CAX1 (accession no. U57411) gene in T6 generation. The brown rice of the CAX1 expressing rice contained 13.4~68.0 % more calcium $(Ca^{2+})$ than that of the wild type and 5 lines were selected based on the phenotypes compared to the control cultivar at the GMO field. The CAX1 expressing transgenic rice plants were similar in phenotype to the wild type during the whole growth period. Also these selected 4 lines appeared to be resistant to blast, cold and water solution compared with the wild type. Difference in 1,000 grain weight of brown rice was observed among each line but grain shape did not show any morphological alternations. These results suggest the enhanced Ca-substrate specificity of CAX1 exchanger in donor plant. Therefore, intact CAX1 exchanger can be functionally useful for $Ca^{2+}$ nutrient enrichment of rice with reduced accumulation of undesirable cation.

• Journal of Food Hygiene and Safety
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• v.26 no.3
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• pp.273-282
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• 2011

This study established hazards which may cause risk to human at farm during cultivation stage of paprika. Samples of plants (paprika, leaf, stem), cultivation environments (water, soil), personal hygiene (hand, glove, clothes), work utensils (carpet, basket, box) and airborne bacteria were collected from three paprika farms (A, B, C) located in Western Gyeongnam, Korea. The collected samples were assessed for biological (sanitary indications and major foodborne pathogens), chemical (heavy metals, pesticide residues) and physical hazards. In biological hazards, total bacteria and coliform were detected at the levels of 1.9~6.6 and 0.0~4.610g CFU/g, leaf, mL, hand or 100 $cm^2$, while Escherichia coli was not detected in all samples. In major pathogens, only Bacillus cereus were detected at levels of ${\leq}$ 1.5 log CFU/g, mL, hand or 100 $cm^2$, while Staphylococuus aureus, Listeria monocytogenes, E. coli O157 and Salmonella spp. were not detected in all samples. Heavy metal and pesticide residue as chemical hazards were detected at levels below the regulation limit, physical hazard factors, such as insects, pieces of metal and glasses, were also found in paprika farms. Proper management is needed to prevent biological hazards due to cross-contamination while physical and chemical hazards were appropriate GAP criteria.

• Journal of Food Hygiene and Safety
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• v.29 no.3
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• pp.181-188
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• 2014

The objective of this study was to analyze the microbiological hazards of Astragalus membranaceus Bunge on the post-harvest processing. Samples from processing equipments (cleaner, water, cart, table, tray and packaging machine), personal hygiene (hand) and harvested crops (before washing, after washing, after sorting, and after drying) were collected from four farms (A, B, C, and D) located in Chungchengbuk-do, Korea. The samples were analyzed for sanitary indication bacteria and pathogenic bacteria. First, total aerobic bacteria and coliform in processing facilities were detected at the levels of 0.93~4.86 and 0.33~2.28 log CFU/$100cm^2$ and/mL respectively. In particular, microbial contamination in hand (5.43~6.11 and 2.52~4.12 log CFU/Hand) showed higher than processing equipments. Among the pathogenic bacteria, Bacillus cereus was detected at the levels of 0.33~2.41 log CFU/$100cm^2$, 1.48~3.27 log CFU/Hand and 0.67~3.65 log CFU/g in equipments, hands, and plants and Staphylococcus aureus were detected in cleaner, table, hand and harvested crops (before washing and after sorting) by qualitative test. Escherichia coli O157:H7, Listeria monocytogenes, and Salmonella spp. were not detected. These results indicated that personal hygiene and processing equipments should be managed to reduce the microbial contamination of A. membranaceus Bunge. Therefore, management system such as good agricultural practices (GAP) criteria is needed for hygienic agricultural products.