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Physicochemical properties of edible cricket (Gryllus bimaculatus) in different districts (산지별 식용 귀뚜라미의 이화학적 특성)

  • Kim, Eun-Mi;Kim, Dae-Hyun;Lim, Jeong-Ho;Chang, Yoon-Je;Lee, Yong-Hwan;Park, Jin Ju;Ahn, Mi-Young
    • Food Science and Preservation
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    • v.22 no.6
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    • pp.831-837
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    • 2015
  • Insects have gained increasing attention as an alternative protein and nutrient rich food source for humans. This study was conducted to investigate the physicochemical characteristics and harmful components of edible crickets (Gryllus bimaculatus) in the 6 districts of Yeonggwang (YG), Jeongseon (JS), Wonju (WJ), Hwaseong (HS), Geochang (GC), and Chungju (CJ). The average crude protein and crude lipid contents on a dry basis were 64.34% and 16.60%, respectively. The crude protein content of CJ was the highest (67.40%), whereas YG (59.42%) had the lowest content. On the other hand, the crude fat content of YG was the highest (20.61%), whereas CJ (14.04%) had the lowest content. The unsaturated fatty acid contents were 57.97-63.93 g/100 g of the total fatty acid content in the crickets of the 6 districts. The major fatty acids of the crickets in the 6 districts were palmitic acid, oleic acid, and linoleic acid. Among the essential amino acids, valine, leucine, and lysine were the most abundant. GC had the highest total amino acids (57.93 g/100 g), whereas YG (48.65 g/100 g) had the lowest. Major mineral contents included potassium (K, 0.92~1.01 mg/100 mg) and phosphorus (P, 0.74~0.88 mg/100 mg). The mineral composition was fairly similar among the crickets. Crickets in the 6 districts were verified to have safe levels of residual heavy metals according to the Korea Food & Drug Administration (KFDA) advisory levels.

Effect of a Probiotic Feed Mixture on Chicken Meat Quality and Growth Performance in Broilers (사료용 복합생균제가 브로일러의 생산성과 닭고기 품질에 미치는 영향)

  • Shin, JS;Um, KH;Kim, CR;Choi, YS;Park, HJ;Lee, HS;Park, BS
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.3
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    • pp.779-788
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    • 2019
  • An experiment was conducted with 240 broiler chickens (ROSS 308) to evaluate the influence of supplementation of a probiotic feed mixture (PFM) including Bacillus subtillus, Streptomyces galilaeus, and Sphingobacteriaceae on growth performance and quality of chicken meats. Broiler chickens were randomly allocated to one of four treatment groups: 1) CON (no PFM as control), 2) CP3 (0.3% commercial probiotics), 3) PFM3 (0.3% PFM), and 4) PFM5 (0.5% PFM 0.5). They were then reared for 35 days. Body weight was significantly increased in CP3, PFM3, and PFM5 compared to that in CON (p<0.05). In addition, PFM3 and PFM5 had higher body weights then CP3 (p<0.05). Weights of F-sac, thymus, and spleen and IgG levels were significantly higher in CP3, PFM3, and PFM5 than those in CON (p<0.05). In addition, they were higher in PFM3 and PFM5 than those in CP3 (p<0.05). Broiler chickens fed diet with PFM3, PFM5, and CP3 also had higher numbers of Lactobacillus in cecum than broiler chickens fed CON diet (p<0.05). However, their numbers of E. coli, Salmonella, coliforms, and total aerobic bacteria were significantly reduced (p<0.05). Water holding capacity of breast meat was significantly improved in PFM3 and PFM5 compared to that in CON and CP3 (p<0.05). These results suggest that dietary 0.3% probiotic feed mixture including Bacillus subtillus, Streptomyces galilaeus, and Sphingobacteriaceae may improve growth performance and meat quality of broiler chickens.

Development of Genetic Selection Marker via Examination of Genome in Bacillus velezensis K10 (Bacillus velezensis K10 유전체 분석을 통한 균주 선발 마커 개발)

  • Sam Woong Kim;Young Jin Kim;Tae Wook Lee;Won-Jae Chi;Woo Young Bang;Tae Wan Kim;Kyu Ho Bang;Sang Wan Gal
    • Journal of Life Science
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    • v.33 no.11
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    • pp.897-904
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    • 2023
  • This study was done to develope genetic markers with the unique characteristics of genes according to the genomic information of Bacillus velezensis K10. B. velezensis K10 maintained a total of 4,159,835 bps, which was found to encode 5,136 open reading frames (orfs). B. velezensis K10 was found to have much more gene migration due to external factors overall compared to standard strain B. velezensis JS25R. In order to discover genetic selection markers, orfs on the genome to be easily induced to gene mutation were surveyed such as recombinase, integrase, transposase, and phage-related genes. As a result of the investigation, 9 candidate markers were isolated with high possibility as genetic selection markers. Although a part in the various origin's areas showed specificities in comparison with homology, the selected markers were all existed in phage-related areas because they were relatively lower homologies in phage-related genes. PCR analysis was done on B. licheniformis K12, B. velezensis K10, B. subtilis, and B. cereus to establish them as inter-species candidate selection markers. As a result, it was confirmed that B. velezensis K10-specific PCR products were formed in a total of 6 primer sets such as BV3 and BV5 to 9. On the other hand, analysis at the subspecies level observed the formation of B. velezensis K10-specific PCR products in 4 primer sets such as BV3, 5, 8, and 9. Among them, since BV5 and BV8 were detected by very specific results, we suggest that BV5 and 8 can be used as B. velezensis K10 gene selection markers at the species and sub-species level.

The Diagnostic Yield and Complications of Percutaneous Needle Aspiration Biopsy for the Intrathoracic Lesions (경피적 폐생검의 진단성적 및 합병증)

  • Jang, Seung Hun;Kim, Cheal Hyeon;Koh, Won Jung;Yoo, Chul-Gyu;Kim, Young Whan;Han, Sung Koo;Shim, Young-Soo
    • Tuberculosis and Respiratory Diseases
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    • v.43 no.6
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    • pp.916-924
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    • 1996
  • Bacground : Percutaneous needle aspiration biopsy (PCNA) is one of the most frequently used diagnostic methcxJs for intrathoracic lesions. Previous studies have reponed wide range of diagnostic yield from 28 to 98%. However, diagnostic yield has been increased by accumulation of experience, improvement of needle and the image guiding systems. We analysed the results of PCNA performed for one year to evaluate the diagnostic yield, the rate and severity of complications and factors affecting the diagnostic yield. Method : 287 PCNAs undergone in 236 patients from January, 1994 to December, 1994 were analysed retrospectively. The intrathoracic lesions was targeted and aspirated with 21 - 23 G Chiba needle under fluoroscopic guiding system. Occasionally, 19 - 20 G Biopsy gun was used for core tissue specimen. The specimen was requested for microbiologic, cytologic and histopathologic examination in the case of obtained core tissue. Diagnostic yields and complication rate of benign and malignant lesions were ca1culaled based on patients' chans. The comparison for the diagnostic yields according to size and shape of the lesions was analysed with chi square test (p<0.05). Results : There are 19.9% of consolidative lesion and 80.1% of nodular or mass lesion, and the lesion is located at the right upper lobe in 26.3% of cases, the right middle lobe in 6.4%, the right lower lobe 21.2%, the left upper lobe in 16.8%, the left lower lobe in 10.6%, and mediastinum in 1.3%. The lesion distributed over 2 lobes is as many as 17.4% of cases. There are 74 patients with benign lesions, 142 patients with malignant lesions in final diagnosis and confirmative diagnosis was not made in 22 patients despite of all available diagnostic methods. 2 patients have lung cancer and pulmonary tuberculosis concomittantly. Experience with 236 patients showed that PCNA can diagnose benign lesions in 62.2% (42 patients) of patients with such lesions and malignant lesions in 82.4% (117 patients) of patients. For the patients in whom the first PCNA failed to make diagnosis, the procedure was repeated and the cumulative diagnostic yield was increased as 44.6%, 60.8%, 62.2% in benign lesions and as 73.4%, 81.7%, 82.4% in malignant lesions through serial PCNA. Thoracotomy was performed in 9 patients with benign lesions and in 43 patients with malignant lesions. PCNA and thoracotomy showed the same pathologic result in 44.4% (4 patients) of benign lesions and 58.1% (25 patients) of malignant lesions. Thoracotomy confirmed 4 patients with malignat lesions against benign result of PCNA and 2 patients with benign lesions against malignant result of PCNA. There are 1.0% (3 cases) of hemoptysis, 19.2% (55 cases) of blood tinged sputum, 12.5% (36 cases) of pneumothorax and 1.0% (3 cases) of fever through 287 times of PCNA. Hemoptysis and blood tinged sputum didn't need therapy. 8 cases of pneumothorax needed insertion of classical chest tube or pig-tail catheter. Fever subsided within 48 hours in all cases. There was no difference between size and shape of lesion with diagnostic yield. Conclusion: PCNA shows relatively high diagnostic yield and mild degree complications but the accuracy of histologic diagnosis has to be improved.

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Twitter Issue Tracking System by Topic Modeling Techniques (토픽 모델링을 이용한 트위터 이슈 트래킹 시스템)

  • Bae, Jung-Hwan;Han, Nam-Gi;Song, Min
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.109-122
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    • 2014
  • People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

Physico-Chemical Properties of Aggregate By-Products as Artificial Soil Materials (골재 부산물의 용토재 활용을 위한 특성 분석)

  • Yang, Su-Chan;Jung, Yeong-Sang;Kim, Dong-Wook;Shim, Gyu-Seop
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.5
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    • pp.418-428
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    • 2007
  • Physical and chemical properties of the aggregate by-products including sludge and crushed dust samples collected from the 21 private companies throughout the country were analyzed to evaluate possible usage of the by-products as artificial soil materials for plantation. The pH of the materials ranged from 8.0 to 11.0. The organic matter content was $2.85g\;kg^{-1}$, and the total nitrogen content and available phosphate content were low as 0.7 percents and $12.98mg\;kg^{-1}$, respectively. Exchangeable $Ca^{2+}$, $Mg^{2+}$, $K^+$, and $Na^+$ were 2.29, 0.47, 0.02 and $0.05cmol\;kg^{-1}$, respectively. Heavy metal contents were lower than the limits regulated by environmental law of Korea. Textural analysis showed that most of the materials were silt loam with low water holding capacity ranged from 0.67 to 7.41 percents, and with low hydraulic conductivity ranged from 0.4 to $2.8m\;s^{-1}$. Mineralogical analysis showed that the aggregate by product materials were mostly composed of silicate, alumina and ferric oxides except calcium oxide dominant materials derived from limestones. The primary minerals were quartz, feldspars and dolomites derived from granite and granitic gneiss materials. Some samples derived from limestone material showed calcite and graphite together with the above minerals. According to the result, it can be concluded that the materials could be used as the artificial soil material for plantation after proper improvement of the physico-chemical properties and fertility.