• Biomedical Science Letters
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• v.19 no.4
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• pp.315-329
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• 2013

This study was conducted to evaluate the distribution, frequency, sensitization rate, and types of specific allergen in allergic patients. We analyzed allergens of 12,882 allergic patient's serum referred for Medical Laboratory using MAST Allergy Screen Test (Inhalation/food panel) from April, 2010 to March, 2011. Allergen reactivity were not detected in 833/12,882 (6.5%) allergic patients and the other allergic patients had two or more types of allergens of food and inhalant, respectively. In the distribution of the allergen food 73.4% (9,450/12,882 patients) was much higher than the pollen 26.6% (3,432/12,882 patients). The sensitization rate to each allergen showed garlic 26.7%, egg white 21.5% of food allergens, mugwort 24.9%, ragweed short 19.6% of pollen allergens, Candida albicans 10.5%, Alternaria spp. 7.9% of fungus allergens, and showed high sensitized rate to Dermatophagoides farinae 90.2%, Dermatophagoides pteronyssinus 77.8%, house dust 57% of indoor allergens, respectively. The specific allergens of food allergen, fungus allergen, and indoor allergen were more frequent in young child than adult, but pollen allergens were frequent in adult than young child. In seasonal distribution, the food allergen were frequent in summer and autumn, the pollen allergen in autumn, fungus allergen in spring and in winter, and indoor allergen in autumn and in winter. In conclusion, the mite of Dermatophagoides farinae and Dermatophagoides pteronyssinus, and house dust showed the highest sensitization rate in specific allergen of allergic patients. The allergens showed difference feature according to the age, region, and types of allergen.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.43 no.3
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• pp.205-210
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• 2010

Dynamic modeling was used to predict the Pseudomonas spp. concentration in Alaska pollack under dynamic temperature conditions in a programmable incubator using Euler's method. The model evaluation showed good agreement between the predicted and measured concentrations of Pseudomonas spp. In the simulation, three kinds of distribution path were assumed: consumers buying from a distribution center (A), manufacturer (B), or direct market (C). Each of these distribution paths consists of six phases: shipping, warehousing/shipment, warehousing/storing, processing, market exhibition, and sale/consumption. Sensitivity analysis of each phase was also implemented. The Pseudomonas concentrations and sensitivities ($S_k$) at the terminal phases of the three paths were estimated to be (A) 11.174 log CFU/g and 10.550 log $S_k$, (B) 10.948 log CFU/g and 10.738 log $S_k$, and (C) 8.758 log CFU/g and 9.602 log $S_k$, respectively. The sensitivities indicated that path A has the highest risk of failure in managing the relevant phases.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.161-168
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• 2018

In this study, IT based traceability system which is able to measure weight and moisture content of grain in the post-harvest process of intake, drying, storage and milling was developed in RPC(Rice processing complex). Measured information of weight, moisture content, yield, loss and quality was saved in the DB sever. Simultaneously, lot No. was generated and connecting to quality and traceability information. Also, automatic control system with MMI(Man Machine Interface) and yield and inventory control system(YICS) for grain was developed for the traceability system by applying the TCP/IP communication. In addition, simulation of system was performed for evaluation in RPC.

• Korean Journal of Organic Agriculture
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• v.30 no.1
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• pp.21-35
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• 2022

Measuring the food safety has been focused only on the psychological consumers' recognition of food safety. The actual measurement tool should consist of the evidence-based statistical data to assess the level of national food safety in scientific perspectives. This paper described the development of a concept to measure the food safety of the food chain based on OECD PSR framework. This paper discusses the elaboration of a set of 8 food safety related data issued as statistical data, and which were same weighted. These food safety statistical data (FSDs) were derived as the basis of measuring the variation of food safety during 2013-2019. The values of the primary production indicator (PPI), the processing and manufacturing indicator (PMI), and the distribution and consumption indicator (DCI) are 0.558-0.859, 0.533-0.691, and 0.979-0.982, respectively. The food safety status (FSS) derived from the safety indicator values of each of the three stages is 0.700-0.810. In order to increase the level of food safety, it is necessary to pay attention to PMI and PPI management. In the future, continuously calculating the level of food safety, managing it like the level of psychological safety, and further expanding it to the level of food safety between countries will help establish policies to improve the level of food safety in Korea.

• Bulletin of Food Technology
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• v.23 no.4
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• pp.584-591
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• 2010

본 내용은 2010년 9월 11일부터 9월 18일까지 국내 고추주산지 지자체 고추관련 해외 고추산업 동향과 유통구조, 연구현황 등에 관한 기술정보 수집과 향후 고추가공제품 수출전략을 수립하고자 세계 최대 고추 수입국인 미국의 고추주산지 뉴멕시코주의 고추산업을 견학하고 뉴멕시코대학에서 개최되는 20회 국제고추학술대회(9월 12일~14일)에 참석하였다. 또 LA 및 볼티모어 지역 대형 미국 및 한국 식품유통업체를 방문하여 해외 고추가공제품의 유통현황과 국내산 고추조미료의 유통구조의 문제점을 조사하여 교포 및 현지인에게 적합한 고추조미료 생산기반을 구축하고 해외시장 수출증대방안을 마련하고자 하였다.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.245-256
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• 2021

Poor logistical infrastructure and agri-food supply chain management leads to significant food waste in logistic system. The concept of the sustainable value added agri-food chains requires defined approach to the analysis of the existing situation, possible improving strategies and also assessment of these changes impact on further development. The purpose of research is to provide scientific substantiation of theoretical and methodological principles and develop practical recommendations for the improvement of the agri-food logistics distribution system. A case study methodology is used in this article. The research framework is based on 4 steps: Value Stream Mapping (VSM), Gap and Process Analysis, Validation and Improvement Areas Definition and Imitation Modelling. This paper presents the appropriateness of LEAN logistics tools using, in particular, Value Stream Mapping (VSM) for minimizing logistic losses and Simulation Modeling of possible logistics distribution system improvement results. The algorithm of VSM analysis of the agri-food supply chain, which involves its optimization by implementing the principles of sustainable development at each stage, is proposed. The methodical approach to the analysis of possible ways for optimizing the operation of the logistics system of the agri-food distribution is developed. It involves the application of Value Stream Mapping, i.e. designing of stream maps of the creation of the added value in the agri-food supply chain for the current and future state based on the minimization of logistic losses. Simulation modeling of the investment project on time optimization in the agri-food supply chain and economic effect of proposed improvements in logistics product distribution system functioning at the level of the investigated agricultural enterprise has been determined. Improvement of logistics planning and coordination of operations in the supply chain and the innovative pre-cooling system proposed to be introduced have a 3-year payback period and almost 75-80% probability. Based on the conducted VSM analysis of losses in the agri-food supply chain, there have been determined the main points, where it is advisable to conduct optimization changes for the achievement of positive results and the significant economic effect from the proposed measures has been confirmed. In further studies, it is recommended to focus on identifying the synergistic effect of the agri-food supply chain optimization on the basis of sustainable development.

• Bulletin of Food Technology
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• v.24 no.4
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• pp.640-646
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• 2011

• Food Science and Industry
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• v.46 no.4
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• pp.23-29
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• 2013

• Genomics & Informatics
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• v.4 no.2
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• pp.65-70
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• 2006

Peptide mass mapping is the matching of experimentally generated peptides masses with the predicted masses of digested proteins contained in a database. To identify proteins by matching their constituent fragment masses to the theoretical peptide masses generated from a protein database, the peptide mass fingerprinting technique is used for the protein identification. Thus, it is important to know the theoretical mass distribution of the database. However, few researches have reported the peptide mass distribution of a database. We analyzed the peptide mass distribution of non-redundant protein sequence database in the NCBI after digestion with 15 different types of enzymes. In order to characterize the peptide mass distribution with different digestion enzymes, a power law distribution (Zipfs law) was applied to the distribution. After constructing simulated digestion of a protein database, rank-frequency plot of peptide fragments was applied to generalize a Zipfs law curve for all enzymes. As a result, our data appear to fit Zipfs law with statistically significant parameter values.

• Korean Journal of Organic Agriculture
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• v.22 no.1
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• pp.25-46
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• 2014

Since organized living cooperative associations sold their environment-friendly agricultural products directly to independent consumers in the past, the general distribution channels such as wholesalers had difficulty in handling these products. However, the ratio of distribution via wholesale channel has been gradually increased as consumption of environment-friendly agricultural products has expanded. This study is to address vitalization of wholesale distribution for environment-friendly agricultural products by gathering previous statistical data and analysis. In addition, statistical analysis are conducted by utilizing surveys on forwarders, consumers for environment-friendly agricultural products. As a result, the products producers ship are distributed through dealers at producers sites, producers cooperatives, or food process companies, food companies, internet shopping malls, large-scale distribution companies, consumer groups such as living cooperative associations, direct outlets at consumers sites, or exports. Among the channels, the large-scale distribution companies and franchised special shops account for 47%, the general supermarkets 15.7%, and living cooperative associations 14.6% respectively. By utilizing the research results on producers and consumers, and the distribution weight by channels for environment-friendly agricultural products, the distribution channels for living cooperative associations, wholesale markets, and large scale distribution companies are compared and evaluated. As a result, the level of producers' and consumers' satisfaction for them is the lowest since the low selling price for producers and high distribution margins.