• 제목/요약/키워드: Microbial Identification

검색결과 329건 처리시간 0.034초

Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses

  • Lee, Heeyoung;Lee, Soomin;Kim, Sejeong;Lee, Jeeyeon;Ha, Jimyeong;Yoon, Yohan
    • Asian-Australasian Journal of Animal Sciences
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    • 제29권8호
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    • pp.1188-1196
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    • 2016
  • This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization, exposure assessment, and risk characterization. The hazard identification of C. perfringens on cheese was identified through literature, and dose response models were utilized for hazard characterization of the pathogen. For exposure assessment, the prevalence of C. perfringens, storage temperatures, storage time, and annual amounts of cheese consumption were surveyed. Eventually, a simulation model was developed using the collected data and the simulation result was used to estimate the probability of C. perfringens foodborne illness by cheese consumption with @RISK. C. perfringens was determined to be low risk on cheese based on hazard identification, and the exponential model ($r=1.82{\times}10^{-11}$) was deemed appropriate for hazard characterization. Annual amounts of natural and processed cheese consumption were $12.40{\pm}19.43g$ and $19.46{\pm}14.39g$, respectively. Since the contamination levels of C. perfringens on natural (0.30 Log CFU/g) and processed cheeses (0.45 Log CFU/g) were below the detection limit, the initial contamination levels of natural and processed cheeses were estimated by beta distribution (${\alpha}1=1$, ${\alpha}2=91$; ${\alpha}1=1$, ${\alpha}2=309$)${\times}$uniform distribution (a = 0, b = 2; a = 0, b = 2.8) to be -2.35 and -2.73 Log CFU/g, respectively. Moreover, no growth of C. perfringens was observed for exposure assessment to simulated conditions of distribution and storage. These data were used for risk characterization by a simulation model, and the mean values of the probability of C. perfringens foodborne illness by cheese consumption per person per day for natural and processed cheeses were $9.57{\times}10^{-14}$ and $3.58{\times}10^{-14}$, respectively. These results indicate that probability of C. perfringens foodborne illness by consumption cheese is low, and it can be used to establish microbial criteria for C. perfringens on natural and processed cheeses.

Flavone Biotransformation by Aspergillus niger and the Characterization of Two Newly Formed Metabolites

  • Mahmoud, Yehia A.-G.;Assawah, Suzan W.;El-Sharkawy, Saleh H.;Abdel-Salam, Amal
    • Mycobiology
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    • 제36권2호
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    • pp.121-133
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    • 2008
  • Aspergillus niger isolated from Allium sativum was used at large scale fermentation (150 mg flavone/200ml medium) to obtain suitable amounts of the products, efficient for identification. Then spectral analysis (UV, IR, $^1H$-NMR, $^{13}C$-NMR) and mass spectrometry were performed for the two products, which contributed to the identification process. The metabolite (1) was identified as 2'-hydroxydihydrochalcone, and the metabolite (2) was identified as 2'-hydroxyphenylmethylketone, which were more active than flavone itself. Antioxidant activities of the two isolated metabolites were tested compared with ascorbic acid. Antioxidant activity of metabolite (1) was recorded 64.58% which represented 79% of the antioxidant activity of ascorbic acid, and metabolite (2) was recorded 54.16% (67% of ascorbic acid activity). However, the antioxidant activity of flavone was recorded 37.50% which represented 46% of ascorbic acid activity. The transformed products of flavone have anti-microbial activity against Pseudomonas aeruginosa, Aspergillus flavus and Candida albicans, with MIC was recorded $250{\mu}g/ml$ for metabolite (2) against all three organism and 500, 300, and $300{\mu}g/ml$ for metabolite (1) against tested microorganisms (P. aeruginosa, Escherichia coli, Bacillus subtilis, and Klebsiella pneumonia, Fusarium moniliforme, A. flavus, Saccharomyces cerviceae, Kluveromyces lactis and C. albicans) at this order.

Microbial Cellulose 생산세균의 분리 및 동정 (Isolation and Identification of Cellulose-Producing Bacteria)

  • 손홍주;이오미;김용균;이상준
    • 한국미생물·생명공학회지
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    • 제28권3호
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    • pp.134-138
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    • 2000
  • 자연계에 다양하게 존재하는 세균중 셀룰로오스 생산성이 우수한 균주를 분리 및 동정함으로서 새로운 생물자원을 확복하고자 하였다 사과, 포도, 식초 등의 시료로부터 총 57주의 셀룰로오스 생산균주를 분리하였다. 그중 사과에서 분리된 A9 균주를 공시균으로 선정하여 형태학적 배양적 및 생리생화학적 특성을 검토한 결과 Acetobacter 속으로 동정되어 편의상 Acetobacter sp. A9로 명명하였다 본 균주는 ethanol을 acetic acid로 산화시킨 후 다시 $CO_2$$H_2O$. 로 재산화시키는 특성을 가지고 있었다 또한 glycerol로부터 dihydroxyacetone을 생성할 수 있었으나 glucose 및 fructose로부터 ${\gamma}$-pyrone은 생성할 수 없었다. 본균주를 HS액체배지에서 정치배양했을 때 두꺼운 셀룰로오스 pellicle을 합성하였으며 교반배양에서 mass 형태의 셀룰로우스를 합성할 수 있었다.

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Application of DNA Microarray Technology to Molecular Microbial Ecology

  • Cho Jae-Chang
    • 한국미생물학회:학술대회논문집
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    • 한국미생물학회 2002년도 추계학술대회
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    • pp.22-26
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    • 2002
  • There are a number of ways in which environmental microbiology and microbial ecology will benefit from DNA micro array technology. These include community genome arrays, SSU rDNA arrays, environmental functional gene arrays, population biology arrays, and there are clearly more different applications of microarray technology that can be applied to relevant problems in environmental microbiology. Two types of the applications, bacterial identification chip and functional gene detection chip, will be presented. For the bacterial identification chip, a new approach employing random genome fragments that eliminates the disadvantages of traditional DNA-DNA hybridization is proposed to identify and type bacteria based on genomic DNA-DNA similarity. Bacterial genomes are fragmented randomly, and representative fragments are spotted on a glass slide and then hybridized to test genomes. Resulting hybridization profiles are used in statistical procedures to identify test strains. Second, the direct binding version of microarray with a different array design and hybridization scheme is proposed to quantify target genes in environmental samples. Reference DNA was employed to normalize variations in spot size and hybridization. The approach for designing quantitative microarrays and the inferred equation from this study provide a simple and convenient way to estimate the target gene concentration from the hybridization signal ratio.

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주요 오염물질로 오염된 지하수에서 미생물의 무배양식 군집분석방법과 미생물상에 대한 조사방법 연구 (Culture-Independent Methods of Microbial Community Structure Analysis and Microbial Diversity in Contaminated Groundwater with Major Pollutants)

  • 김재수
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제11권3호
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    • pp.66-77
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    • 2006
  • 최근에 적용된 지하수 미생물의 군집구조를 밝히는 분자생물학적 및 생화학적 방법들에 대해서 알아보았고 그 결과로서 지하수의 주요 오염물질에 따른 활성화된 미생물군집들이 무엇인지를 밝힌 연구논문들을 종합하여 정리하였다. PCR에 의한 유전자 증폭기술의 발달로 배양 없이 미생물 종류와 개체군을 파악할 수 있게 되었고 각종 finger-printing 방법 (DGGE, SSCP, RISA, microarray) 과 지방산분석법 (PLFA/FAME)을 이용하여 활성화 된 미생물군집구조를 분석하였으며 FISH 등의 방법으로 특정균의 활성도를 알아본 사례들을 조사하였다. 대표적인 지하수오염물질인 유류성분 (n-alkanes, BTEX, MTBE, ethanol)과 염소계 용매 (TCE, PCE, PCB, CE, carbon tetrachloride, chloro-benzene) 등으로 오염되었을 때 우점하는 지하수 미생물상에 대해 보고된 내용을 포함하였다.

백김치 발효중 주요 미생물 군집의 분리 및 동정 (Isolation and Identification of Major Microbial Groups during Baikkimchi Fermentation)

  • 소명환;김영배
    • 한국식품영양학회지
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    • 제10권3호
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    • pp.350-359
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    • 1997
  • 백김치를 담근 후 15$^{\circ}C$에서 60일간 밀폐상태로 발효시키면서 발효일수 경과에 따른 pH, 총산함량 및 미생물수의 변화를 조사하고, 주요 미생물군집을 분리.동정하였다. 담금 즉시의 김치는 pH 6.15, 총산 0.03%였고, Gram 음성 간균류가 치우점 미생물이었으며 이들의 주요 속 구성은 Pseudomonas 55%, Enterobacter 40%, Erwinia 5%였다. 젖산균은 발효 2일 이후부터 최우점 미생물이 되었으며, 발효 4일, 12일 및 50일에 젖산균의 1차, 2차 및 3차 정상기를 각각 나타내었다. 젖산균 2차 정상기의 김치는 pH 3.51, 총산 0.59%로 적숙상태에 해당되며, 이 때 주요 젖산균의 종 구성은 Lactobacillus bavaricus 55%, Leuconostoc mesenteroides subsp. mesenteroides 42.5%, Leuconostoc paramesenteroides 2.5%였다. 젖산균 3차 정상기의 김치는 pH 3.40, 총산 1.10%로 과숙상태에 해당되며, 이 때 주요 젖산균의 종 구성은 Lactobacillus plantarum 65%, Lactobacillus brevis 35%였다. 젖산균들을 동정할 때에 Leuconostoc mesenteroides subsp. mesenteroides, Leuconostoc paramesenteroides, Lactobacillus plantarum 및 Lactobacillus brevis로 동정된 균주들은 기존의 분류체제에 비교적 잘 일치하였으나, Lactobacillus bavaricus로 동정된 균주들은 일치하지 않는 점들을 많이 나타내었다. 젖산균의 수가 증가할 때에 효모의 수가 감소하였고, 젖산균의 수가 감소할 때에 효모의 수가 증가하였다. 효모의 정상기는 젖산균이 제2정상기와 제3정상기의 사이인 30일에 나타났으며, 이 때 주요 효모의 속은 모두 Saccharomyces였다.

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Effect of Ion Pair on Thermostability of F1 Protease: Integration of Computational and Experimental Approaches

  • Rahman, Raja Noor Zaliha Raja Abd;Noor, Noor Dina Muhd;Ibrahim, Noor Azlina;Salleh, Abu Bakar;Basri, Mahiran
    • Journal of Microbiology and Biotechnology
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    • 제22권1호
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    • pp.34-45
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    • 2012
  • A thermophilic Bacillus stearothermophilus F1 produces an extremely thermostable serine protease. The F1 protease sequence was used to predict its three-dimensional (3D) structure to provide better insights into the relationship between the protein structure and biological function and to identify opportunities for protein engineering. The final model was evaluated to ensure its accuracy using three independent methods: Procheck, Verify3D, and Errat. The predicted 3D structure of F1 protease was compared with the crystal structure of serine proteases from mesophilic bacteria and archaea, and led to the identification of features that were related to protein stabilization. Higher thermostability correlated with an increased number of residues that were involved in ion pairs or networks of ion pairs. Therefore, the mutants W200R and D58S were designed using site-directed mutagenesis to investigate F1 protease stability. The effects of addition and disruption of ion pair networks on the activity and various stabilities of mutant F1 proteases were compared with those of the wild-type F1 protease.

시장의약품(市販醫藥品)의 미생물(微生物) 오염도(汚染度) 조사(調査) (제1보)(第1報) -시판내복액제(市販內服液劑)의 세균오염도(細菌汚染度)- (A Survey on Microbial Contamination of Currently-Sold Drugs (I) -Bacterial contamination of marketed liquid-)

  • 박영주;김영일
    • Journal of Pharmaceutical Investigation
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    • 제3권4호
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    • pp.5-15
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    • 1973
  • An investigation was carried out on a basis of the bacteriological examination with a view to detecting the degree of bacterial contamination for the 77 samples collected from the locally-sold liquid specialties. It's test period was 50 days from July 10 to August 30, 1971. Specially, the survey has put emphasis on the population of general bacteria and the identification of coli-form group, staphylococcus species, streptococcus species, bacillus species, fungi, and yeast species from liquid samples. The results obtained are summarized as follows; (1) For the 77 samples tested, the contamination of general bacteria was found out as minimun 0, i,e., maximum, $12{\times}10^4$ and the total average $45{\times}10^2$ per milliliter. (2) Although streptococcus species could not be detected with the samples, the contamination of the coli-form and staphylococcus species means the strong suggestion of the possibility of pathogenic bacterial contamination. (3) Specially, the products which stay in the neutral pH range and use suspending agents need to care for the microbial contamination in the manufacturing crocess. (4) It is thought necessary to perform the microbiological quality control in the liquid preparations only at least. (5) As the microbial contamination degree in the liquid decreases according to the elapse of time, the microbiological quality control will have to be carried out immediately after the completion of the manufacturing process in order to know the accurate degree. (6) The author thinks that the main reason of the microbial contamination in the liquid is the contamination during the manufacturing process. (7) For the purpose of prevention of the microbial contamination in liquid, therefore, it is more important to make efforts for the rationalization of manufacturing process, the improvement of equipment and environment, the specific training of workers for hygienic knowledges, etc. rather than the use of preservatives for the preparations.

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PCR-based Identification of Microorganisms in a Kefir Grain

  • Koo, Won Hoe;Seo, Min-Gook;Ahn, Jung Hoon
    • 한국해양바이오학회지
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    • 제2권4호
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    • pp.238-244
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    • 2007
  • Nowadays many people are concerned about being healthy, and many dairy products are taken as health supplementary foods. Among dairy products, kefir, also called as Tibet mushroom, is a yogurt fermented by kefir grain, which is a mixture of lactic acid bacteria and yeasts. Although there are many empirical evidences that kefir is very influential for human body, the exact reason is not definitively discovered. Therefore, it would be useful to understand characteristics of a kefir grain and to categorize bacteria in a kefir grain. In this paper, molecular biological apparatus such as PCR, electrophoresis, PCR purification, DNA sequencing were used to identify and classify the species of lactic acid bacteria and yeast in a kefir grain. We used PCR-based identification method using 16S rRNA primer and Internal Transcribed Spacer (ITS) primer. We identified 6 different species which were selected on different medium. In addition, observation with scanning electron microscope (SEM) enabled us to grasp an external shape of the kefir grain. Although we found a limited number of microbial species, more intensive research are needed for extensive identification of microorganism species in Korean kefir grain.

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Multivariate Procedure for Variable Selection and Classification of High Dimensional Heterogeneous Data

  • Mehmood, Tahir;Rasheed, Zahid
    • Communications for Statistical Applications and Methods
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    • 제22권6호
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    • pp.575-587
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    • 2015
  • The development in data collection techniques results in high dimensional data sets, where discrimination is an important and commonly encountered problem that are crucial to resolve when high dimensional data is heterogeneous (non-common variance covariance structure for classes). An example of this is to classify microbial habitat preferences based on codon/bi-codon usage. Habitat preference is important to study for evolutionary genetic relationships and may help industry produce specific enzymes. Most classification procedures assume homogeneity (common variance covariance structure for all classes), which is not guaranteed in most high dimensional data sets. We have introduced regularized elimination in partial least square coupled with QDA (rePLS-QDA) for the parsimonious variable selection and classification of high dimensional heterogeneous data sets based on recently introduced regularized elimination for variable selection in partial least square (rePLS) and heterogeneous classification procedure quadratic discriminant analysis (QDA). A comparison of proposed and existing methods is conducted over the simulated data set; in addition, the proposed procedure is implemented to classify microbial habitat preferences by their codon/bi-codon usage. Five bacterial habitats (Aquatic, Host Associated, Multiple, Specialized and Terrestrial) are modeled. The classification accuracy of each habitat is satisfactory and ranges from 89.1% to 100% on test data. Interesting codon/bi-codons usage, their mutual interactions influential for respective habitat preference are identified. The proposed method also produced results that concurred with known biological characteristics that will help researchers better understand divergence of species.