• 한국농공학회지
• /
• 제40권2호
• /
• pp.112-122
• /
• 1998

Measurement of electrical resistivity in soils has been used for many years with purpose of estimating in situ porosity or density. Recently electrical resistivity has also been used as an indicator of soil contaimination. This paper presents the result of laboratory experiment to investigate the resistivity variation in contaminated sandy soils. The results can be used with the Cone Penetrometer Test (CPT) result to analyse ground condition. In the experiment, the water content and leachate concentration of soils were controlled by groundwater and leachate, and then the resistivity measurement was made with 'STING-R1' by Advanced Geosciences Inc. In the case of using groundwater, the resistivity was in the range of over 1000${\omega}{\cdot}m$, but in the case of using polluted water by leachate, the resistivity decreased significantly down to 10~ 100${\omega}{\cdot}m$ for the same moisture content. Also the resistivity varied according to the degree of saturatrion. Therefore, if soil is contaminated by leachate, the CPT with electrical resistivity sensor might be used to investigate the contamination status and plume migration. But exact component of leachate and the pollutant concentration are still hard to identify.

• 산업기술연구
• /
• 제31권B호
• /
• pp.45-50
• /
• 2011

Recently, machine olfactory systems that have been proposed as an artificial substitute of the human olfactory system are being studied by many researchers because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. The design method adopted the sequential combination between genetic algorithms and TSK fuzzy logic system. First, the proposed method allowed the designed gas identification system effectively performing the pattern analysis because it was able to avoid the curse of dimensionality caused by use of a large number of sensors. Secondly, the method led the gas identification system to good performance because it was able to deal with drift characteristics of the sensor data by using description ability of the fuzzy system for nonlinear data. In simulation, we demonstrated the effectiveness of the designed gas identification system by using the simulation results of five types of gases.

• 한국미생물·생명공학회지
• /
• 제32권2호
• /
• pp.195-198
• /
• 2004

Molec-ular analysis was performed on the microflora found In the necrotic pulpal tissue collected from 5 infected root canals that were diagnosed as a periapical abscess. 16S rRNA coding gene (rDNA) library construction and sequencing were performed in order to identify the microflora, The 16S rDNA sequences from 278 clones were identified by a comparison with the database sequence in GenBank. Three phylum and 31 species, which were related to the oral microflora, were identified from the 3 samples (No. 87, 105, and 115). Dialister invisus (5.6％), Peptostreptococcus micron (18.3％), and Veillonella sp. (3.3％) were the organism present in all tee samples. Lac-tobacillusfementum (2.8％),Eubacterumsp./E. infirmum (6.7％), Shuttleworthiasatelles (3.9％), Psudorarnihacfer alactoiyticus (13.3％), Bulleidia moorei (2.8％), and Prevotella denticola (1.1％) were found in two samples. Two phylum and low species of environmental microflora were identified from 2 samples (No.95 and 101). The reason for this might be contamination of the samples with dental water. These results showed that molecular analysis could reveal more diverse microflora that are associated with endodontic infections than that revealed by conventional cultural methods. In addition, these results may of for the basic data to epidemiological studies related with endodontic infection.

• The Plant Pathology Journal
• /
• 제30권2호
• /
• pp.178-182
• /
• 2014

Among imported plants, seeds are the items that have many latent pathogens and are difficult to inspect. Also, they are the import and export items whose market is expected to expand. The biggest problem with seeds is viruses. Prune dwarf virus (PDV) is the virus that is commonly inspected in Prunus cerasifera, P. persica, P. armeniaca, P. mandshurica, P. cerasus, P. avium or P. serotina seeds. In this study, two RT-PCR primer sets, which can promptly and specifically diagnose plant quarantine seed-transmitted PDV, were developed; and nested PCR primers, where products amplify 739 and 673 nucleotides (nt), and an nested PCR-product, 305 nt, can be obtained as these products are amplified again, were developed. Also, a modified-positive control plasmid was developed, where the restriction enzyme XhoI, which can identify the contamination of samples from the control, was inserted. The method developed in this study has detected PDV in 18 cases since 2007, and is expected to continuously contribute to the plant quarantine in Korea.

• 한국토양비료학회지
• /
• 제44권4호
• /
• pp.657-661
• /
• 2011

The chlorinated dioxins and furans have attracted considerable scientific and public concern because of their environmental persistence and super-toxicity through the foodchain. Recent dioxin scandals in several military bases have also contributed to a higher awareness on the side of food consumers as well as foodwaste combustion. However, there is continuing uncertainty over the relative importance of different sources of dioxins and furans to the soil environment. In difference to those awareness there is a main influence of potential soil contamination on the dioxin contents in groundwater. It is, therefore, important to provide a sound scientific framework and basis by which to evaluate the significance of the presence of dioxin in soils. Consequently, we have to identify the characteristics and nature of dioxin released into the soil environment, especially in agricultural aspect.

• 한국식품조리과학회지
• /
• 제19권5호
• /
• pp.647-658
• /
• 2003

Foodservice at elementary schools has been provided nation-wide. It is predictable that foodborne diseases would increase continuously. Formation of a counterplan is urgently needed. This study was designed to identify the stage which contains the critical control points (CCPs) for the microbiological management of HACCP (Hazard Analysis Critical Control Point) at the foodservice provided at elementary schools. Foodservice places at four elementary schools in Seoul were sampled and the overall hygiene of cooking, utensils and equipment, employees, and environment by season were examined. The results showed that the number of bacteria in overall samples was increased and that E. coli, Salmonella and Staphylococcus by biochemical test emerged in more diverse samples in summer than in spring. Particularly, the number of aerial bacteria in summer was three-fold greater than that in either spring or winter. E. coli 0157 was not detected, although Salmonella was identified by PCR analysis in the meat knives, chopping boards, waste bins and meat dish at elementary school foodservice. According to this data, cross-contamination should be managed in the stage of mixing up the ingredients with improper equipments and insanitary treatments. Thus, the establishment of SSOP (Sanitation Standard Operating Procedures) and GMP (Good Manufacturing Practice) at elementary school foodservice is stringently required, along with sanitation education for workers and employees as CCPs.

• 천문학회보
• /
• 제44권1호
• /
• pp.80.2-80.2
• /
• 2019

We present newly discovered dwarf galaxy candidates in deep wide-field images of NGC 1291 obtained with KMTNet. We initially identify 20 dwarf galaxy candidates through visual inspection. 13 out of 20 appears to be high priority candidates, according to their central surface brightness (${\mu}_{0,R}{\sim}22.5$ to $26.5mag\;arcsec^{-2}$) and effective radii (350 pc to 1 kpc). Structural and photometric properties of dwarf candidates appear to be consistent with those of ordinary dwarf galaxies in nearby groups and clusters. Using imaging simulations, we demonstrate that our imaging data is complete up to $26mag\;arcsec^{-2}$ with > 70% of the completeness rate. In order to find an optimal way to automate detecting dwarf galaxies in our dataset, we test detection methods by varying parameters in SExtractor. We find that the detection efficiency from the automated method is relatively low and the contamination due to the artifacts is non-negligible. Therefore, it can be only applicable for pre-selection. We plan to conduct the same analysis for deep images of other nearby galaxies obtained through KMTNet Nearby Galaxy Survey (KNGS).

• 식품과학과 산업
• /
• 제54권1호
• /
• pp.29-33
• /
• 2021

Particulate matter (PM) is an air pollutant that causes serious environmental problems in Korea and other countries. The annual average PM10 concentration in Korea is around 40 ㎛/㎥, which is more than twice as high as the WHO recommended standard. When consumed with food, fine PM can pose a risk to humans. However, the risk of fine PM has been focused on the risk of fine PM introduced through the respiratory system. We investigated the quantitative measuring methods of PM10 on food surface to identify possible risk analysis of fine PM. The surfaces of food with artificially contaminated PM10 were observed with a scanning electron microscope(SEM). An automatic object-based image analysis was used to analyze the amount and size distribution of particulate matter contained in SEM micrographs.

• 식품보건융합연구
• /
• 제9권4호
• /
• pp.19-23
• /
• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• 치위생과학회지
• /
• 제22권1호
• /
• pp.51-56
• /
• 2022

Background: The coronavirus disease (COVID-19) pandemic increased awareness regarding the importance of hand hygiene in infection prevention. Although social distancing and vaccination are the strongest ways to prevent infection, personal hand hygiene is the most basic and easiest way to maintain public health. However, in addition to hand washing using running water, sanitizing tissues, and disinfection products are convenient for hand hygiene, especially outdoors. Therefore, it is necessary to improve the appropriateness of individual hand hygiene methods. In this study, we investigated the degree of hand hygiene offered by various hygiene products and hand drying methods for maintaining hand hygiene. Methods: An LED UV light kit was used for fluorescent observation of hand contamination. Bacteria from the hands were cultured to compare the degree of hand hygiene offered by various hygiene products. Bacteria were cultured in a hand-shaped medium dish to identify areas vulnerable to hand hygiene. Moreover, the degree of hand hygiene was observed according to the drying method using bacterial cultures. Results: We confirmed that hand washing under running water with antibacterial soap, sanitizing with alcohol gel disinfectant, and wiping with antibacterial wet wipes was effective for hand hygiene compared to washing under running water alone. However, for all hygiene products, a large number of bacteria were detected on the fingertips. We verified that natural drying, rather than rubbing, is effective in maintaining hand hygiene. Conclusion: These results suggest that hand hygiene products and drying methods are critical in hand hygiene management. Therefore, these results provide a basis for determining whether an individual's hand hygiene management method is appropriate.