Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.

When researchers performed intestinal microbiota analysis using fecal samples, sample preparation processes are not standardized as of now. In particular, contrary to lab conditions, there are various factors hard to be controlled when sampling livestock feces on the farm. In this study, we wanted to know the influences of sample preparation conditions on fecal microbiota. We designed an experiment considering various sample preparation conditions (sample origin: rectum and ground; transporting condition: lysis buffer-treated, dry ice, ice, and room temperature; delayed times to extract DNA: 0, 1, 6, and 24 h) that can occur during microbiota analysis using cattle feces. First, we investigated the influences of sample origin, and microbial diversity (observed OTUs, p<0.001) was significantly higher when fecal samples were obtained from the ground than from the rectum and the principal coordinates analysis plot showed that samples were divided into two groups by origin. When we investigated the influences of transporting and storage conditions, observed OTUs (p<0.05) was significantly higher when samples were transported at room temperature than other conditions, and microbiota was affected by transporting and storage conditions. Finally, we investigated the effects of delayed time before DNA extraction from frozen fecal samples on microbial composition. Although this factor did not have a significant influence on microbial diversity, multidimensional scaling revealed its impact on microbial composition. Our findings will contribute to establishing an optimal procedure for microbiota analysis using farm-housing livestock feces.

The objective of this study was to develop a simultaneous method of 8 penicillin antibiotics including amoxicillin, ampicillin, cloxacillin, dicloxacillin, nafcillin, oxacillin, penicillin G and penicillin V in meat using LC-MS/MS. The procedure involves solid phase extraction with HLB cartridge and subsequent analysis by LC-MS/ MS. To optimize MS analytical condition of 8 compounds, each parameter was established by multiple reaction monitoring in positive ion mode. The chromatographic separation was achieved on a C18 column with a mobile phase of 0.05% formic acid and 0.05% formic acid in acetonitrile at a flow rate of 0.2 mL/min for 20 min with a gradient elution. The developed method was validated for specificity, linearity, accuracy and precision in beef, pork and chicken. The recoveries were 71.0~106%, and relative standard deviations (RSD) were 4.0~11.2%. The limit of detection (LOD) and the limit of quantification (LOQ) were 0.003~0.008 mg/kg and 0.01~0.03 mg/kg, respectively, that are below maximum residue limit (MRL) of the penicillins. This study also performed survey of residual penicillin antibiotics for 193 samples of beef, pork and chicken collected from 9 cities in Korea. Penicillins were not found in all the samples except a sample of pork which contained cloxacillin (concentration of 0.08 mg/kg) below the MRL (0.3 mg/kg).

A simultaneous determination was developed for 9 aminoglycoside antibiotics (amikacin, apramycin, dihydrostreptomycin, gentamicin, hygromycin B, kanamycin, neomycin, spectinomycin, and streptomycin) in meat by liquid chromatography tandem mass spectrometry (LC-MS/MS). Each parameter was established by multiple reaction monitoring in positive ion mode. The developed method was validated for specificity, linearity, accuracy, and precision based on CODEX validation guideline. Linearity was over 0.98 with calibration curves of the mixed standards. Recovery of 9 aminoglycosides ranged on 60.5~114% for beef, 60.1~112% for pork and 63.8~131% for chicken. The limit of detection (LOD) and limit of quantification (LOQ) were 0.001~0.009 mg/kg and 0.006~ 0.03 mg/kg, respectively in livestock products including beef, pork and chicken. This study also performed survey of residual aminoglycoside antibiotics for 193 samples of beef, pork and chicken collected from 9 cities in Korea. Aminoglycosides were not found in any of the samples.

대구 월성동 출토 구석기 흑요석 석기는 광물, 암석 및 지구화학적 분석결과 마그마에서 급랭하여 생성된 균질한 유리질을 가지는 전형적인 흑요석에 속한다. 연구대상 흑요석의 주 구성성분은 규장질 유문암으로서 Calk-alkaline계열에 속한다. 기존의 국내 출토지, 백두산, 일본 큐슈지방에서 출토된 흑요석과 연구 대상 지역의 흑요석에 대한 분석 결과를 비교했을 때 미량원소와 희토류 원소의 함량의 차이는 있으나 대부분 서로 유사한 원소분포 패턴을 보였다. Sr 동위원소 분석 결과 소사 대상지역의 흑요석이 우리나라 남부지방이나 백두산 기원의 흑요석과는 상당히 많은 차이를 나타낸다. E-Ar 연대 측정 결과 약 30Ma로써 백두산 화산환동 시기인 10Ma보다 오래된 것으로 나타났다. 따라서 조사지역의 흑요석을 포함하여 한반도에서 발견되는 흑요석을 광물, 안석, 미량원소, 동위원소 및 연대 측정 등을 종합적해 볼 때 백두산지역, 일본큐슈와 한반도 남부지역, 한반도 중부지역 및 조사지역인 월성동 흑요석으로 4대분 할 수 있으며 이는 한반도에서 출토되는 흑요석의 기원지의 다양성을 시사하고 있다.