• 제목/요약/키워드: agricultural food

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경기, 강원 지역 농업용수의 미생물학적 특성 및 농업용수 분리 대장균의 항생제 내성 (Microbiological Quality and Antibiotic Susceptibility of E. coli Isolated from Agricultural Water in Gyeonggi and Gangwon Provinces)

  • 황인준;박대수;채효빈;김은선;윤재현;나겐드란 라자린감;최송이;김세리
    • 한국환경농학회지
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    • 제39권4호
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    • pp.343-351
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    • 2020
  • BACKGROUND: Irrigation water is known to be one of the major sources of bacterial contamination in agricultural products. In addition, anti-microbial resistance (AMR) bacteria in food products possess serious threat to humans. This study was aimed at investigating the prevalence of foodborne bacteria in irrigation water and evaluating their anti-microbial susceptibility. METHODS AND RESULTS: Surface water (n = 66 sites) and groundwater (n = 40 sites) samples were collected from the Gyeongi and Gangwon provinces of South Korea during April, July, and October 2019. To evaluate the safety of water, fecal indicators (Escherichia coli) and foodborne pathogens (E. coli O157:H7, Salmonella spp., and Listeria monocytogenes) were examined. E. coli isolates from water were further tested for antimicrobial susceptibility using VITEK2 system. Overall, detection rate of foodborne pathogens in July was highest among three months. The prevalence of pathogenic E. coli (24%), Salmonella (3%), and L. monocytogenes (3%) was higher in surface water, while only one ground water site was contained with pathogenic E. coli (2.5%). Of the 343 E. coli isolates, 22.7% isolates were resistant to one or more antimicrobials (ampicillin (18.7%), trimethoprim-sulfamethoxazole (7.0%), and ciprofloxacin (6.7%)). CONCLUSION: To enhance the safety of agricultural products, it is necessary to frequently monitor the microbial quality of water.

Improvement of Storage Stability of Meatballs Using Propolis

  • Kim, Sung-kuk;Han, Sangmi;Kim, SeGun;Bang, Kyung Won;Choi, Hong Min;Moon, Hyo Jung;Woo, SoonOk
    • 한국양봉학회지
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    • 제34권4호
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    • pp.325-328
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    • 2019
  • We investigated the food storage stability of propolis extracts using homemade meatballs. Propolis extracts were prepared by using the ethanol extraction method. After making the meatballs, propolis was mixed into the meatball materials and egg water with a final concentration of 1% v/v. Microbial cultivation results showed that the cultivation of Staphylococcus aureus, which is one of the food poisoning bacteria, was reduced by more than 90% and the period of storage was 1.5 times longer. Also, it was observed to be effective when propolis was added to meatballs, it was even more effective when propolis was mixed with egg water. Thus, propolis extracts may be a useful ingredient for food storage stability due to its anti-microbacterial function.

QuEChERS법을 활용한 농산물 중 제초제 Tolpyralate의 최적 분석법 선발 및 검증 (Application and Validation of an Optimal Analytical Method using QuEChERS for the determination of Tolpyralate in Agricultural Products)

  • 이한솔;박지수;이수정;신혜선;김지영;윤상순;정용현;오재호
    • 한국환경농학회지
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    • 제39권3호
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    • pp.246-252
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    • 2020
  • BACKGROUND: Pesticides are broadly used to control weeds and pests, and the residues remaining in crops are managed in accordance with the MRLs (maximum residue limits). Therefore, an analytical method is required to quantify the residues, and we conducted a series of analyses to select and validate the quick and simple analytical method for tolpyralate in five agricultural products using QuEChERS (quick, easy, cheap, effective, rugged and safe) method and LC-MS/MS (liquid chromatography-tandem mass spectrometry). METHODS AND RESULTS: The agricultural samples were extracted with acetonitrile followed by addition of anhydrous magnesium sulfate, sodium chloride, disodium hydrogencitrate sesquihydrate and trisodium citrate dihydrate. After shaking and centrifugation, purification was performed with d-SPE (dispersive-solid phase extraction) sorbents. To validate the optimized method, its selectivity, linearity, LOD (limit of detection), LOQ (limit of quantitation), accuracy, repeatability, and reproducibility from the inter-laboratory analyses were considered. LOQ of the analytical method was 0.01 mg/kg at five agricultural products and the linearity of matrix-matched calibration were good at seven concentration levels, from 0.0025 to 0.25 mg/L (R2≥0.9980). Mean recoveries at three spiking levels (n=5) were in the range of 85.2~112.4% with associated relative standard deviation values less than 6.2%, and the coefficient of variation between the two laboratories was also below 13%. All optimized results were validated according to the criteria ranges requested in the Codex Alimentarius Commission (CAC) and Ministry of Food and Drug Safety (MFDS) guidelines. CONCLUSION: In conclusion, we suggest that the selected and validated method could serve as a basic data for detecting tolpyralate residue in imported and domestic agricultural products.

영남지역 주부의 식생활 라이프스타일에 따른 친환경농산물 소비행동 분석 (Analysis on Consumption Behaviors Regarding Environment-Friendly Agricultural Products According to the Food-Related Lifestyles of Housewives in Yeungnam Region)

  • 김효정;김미라
    • 한국생활과학회지
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    • 제19권6호
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    • pp.1103-1113
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    • 2010
  • The purpose of this study was to examine the consumption behaviors regarding environment-friendly agricultural products by food-related lifestyles of housewives. The data were collected from 298 housewives living in Yeungnam region through a self-administered questionnaire during April, 2010. Frequencies, Cronbach's $\alpha$, factor analysis, cluster analysis, one-way analysis of variance, Duncan's multiple range test and chi-square test were conducted by SPSS Windows. The results obtained from this study were as follows. Lifestyles were categorized into five factors by factor analysis: healthy-seeking type, popularity-seeking type, convenience-seeking type, safety-seeking type and taste-seeking type. The respondents belonged to one of three groups by cluster analysis: popularity-seeking group, convenience-seeking group, and wellbeing-seeking group. The main reason given for purchasing environment-friendly agricultural products was safety. The respondents were satisfied with the safety of environment-friendly agricultural products the most. Many respondents purchased environment-friendly agricultural products at large discount markets, and received information about them from mass media. There were significant differences among three groups in the place of purchase environment-friendly agricultural products, information source for environment-friendly agricultural products, most important factor when purchasing environment-friendly agricultural products, the level of satisfaction with environment-friendly agricultural products and the purchase rate of environment-friendly agricultural products among the monthly food expenses.

Detection of E.coli biofilms with hyperspectral imaging and machine learning techniques

  • Lee, Ahyeong;Seo, Youngwook;Lim, Jongguk;Park, Saetbyeol;Yoo, Jinyoung;Kim, Balgeum;Kim, Giyoung
    • 농업과학연구
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    • 제47권3호
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    • pp.645-655
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    • 2020
  • Bacteria are a very common cause of food poisoning. Moreover, bacteria form biofilms to protect themselves from harsh environments. Conventional detection methods for foodborne bacterial pathogens including the plate count method, enzyme-linked immunosorbent assays (ELISA), and polymerase chain reaction (PCR) assays require a lot of time and effort. Hyperspectral imaging has been used for food safety because of its non-destructive and real-time detection capability. This study assessed the feasibility of using hyperspectral imaging and machine learning techniques to detect biofilms formed by Escherichia coli. E. coli was cultured on a high-density polyethylene (HDPE) coupon, which is a main material of food processing facilities. Hyperspectral fluorescence images were acquired from 420 to 730 nm and analyzed by a single wavelength method and machine learning techniques to determine whether an E. coli culture was present. The prediction accuracy of a biofilm by the single wavelength method was 84.69%. The prediction accuracy by the machine learning techniques were 87.49, 91.16, 86.61, and 86.80% for decision tree (DT), k-nearest neighbor (k-NN), linear discriminant analysis (LDA), and partial least squares-discriminant analysis (PLS-DA), respectively. This result shows the possibility of using machine learning techniques, especially the k-NN model, to effectively detect bacterial pathogens and confirm food poisoning through hyperspectral images.

Evaluation of the Korean National Food Composition Tables

  • Park, Hong-Ju;Chun, Hye-Kyung;Lee, Sung-Hyeon
    • Preventive Nutrition and Food Science
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    • 제9권2호
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    • pp.190-193
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    • 2004
  • This review was conducted to evaluate the 'Korean Food Composition Table' and establish it as an internationally accepted database by examining its contents and evolution over time. The food composition table has been published by National Rural Living Science Institute, every 5 years, listing the nutrient content for each food, as both the raw agricultural product and processed foods, since the 1$^{st}$ edition in 1979 by RDA (Rural Development Administration). This is the basic data applied to the evaluation of the nutritional value of foods in Korea. The data is used as a useful tool in many fields, not only for the establishment of the National Food Supply Plan but also for nutritional research, the draft of National Food Policy, and in clinical and epidemiological research. The database is also utilized by food service providers and food processors, etc. Consumers and the international society have been interested in the quality and safety of foods and raw agricultural products. As these data expand in volume, the type of foods included in the composition table is expanded to cover new additions for the convenience of users of the 'Nutrient Data Base' as judged by the publishers. The form of these reports varies, according to the current information, from a simple booklet to CD-ROM and to the Web service. We expect to continue to make improvements in the National Standard Table for food composition through expanding both the quantity and quality of data in an orderly manner. This effort can help food composition data to be comprehensively developed systematically and gradually at the national level.l.

Estimation on the Risk of Pesticide Exposure by Food Intake

  • Chun, Ock-Kyoung;Kang, Hee-Gon;Cho, Nam-Jun
    • 한국식품위생안전성학회:학술대회논문집
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    • 한국식품위생안전성학회 2002년도 춘계학술발표대회 및 심포지움
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    • pp.139-142
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    • 2002
  • This study carried out to evaluate TMDI(theoretical maximum daily intake) and EDI(estimated daily intake) for Korean by using MRLs, food intake, residue data, and correction factors and compare with ADI(acceptable daily intake) in order to estimate the health risk based on the pesticide exposure.

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Development and validation of an analytical method for the quantification of 2,6-diisopropylnaphthalene in agricultural products using GC-MS/MS

  • Lee, Han Sol;Park, Ji-Su;Lee, Su Jung;Shin, Hye-Sun;Chung, Yun mi;Choi, Ha na;Yun, Sang Soon;Jung, Yong-hyun;Oh, Jae-Ho
    • 분석과학
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    • 제34권1호
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    • pp.1-8
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    • 2021
  • An analytical method was developed and optimized for the quantification of a plant growth regulator, 2,6-diisopropylnaphthalene (2,6-DIPN), in agricultural products using gas chromatography-tandem mass spectrometry. The samples were extracted, partitioned, and were purified using a Florisil® cartridge. To validate the analytical method, its specificity, linearity, limit of detection (LOD) and limit of quantification (LOQ) of the instrument, LOQ of the analytical method (MLOQ), accuracy, and repeatability were considered. The method displayed excellent results during validation, and is suitable for the determination and quantification of the low residual levels of the analyte in the agricultural samples. All of the results with the optimized method were satisfactory and within the criteria ranges requested in the Codex Alimentarius Commission guidelines and the Ministry of Food and Drug Safety guidelines for pesticide residue analysis. The developed method is simple and accurate and can be used as a basis for safety management of 2,6-DIPN.

Quantitation of CP4 5-Enolpyruvylshikimate-3-Phosphate Synthase in Soybean by Two-Dimensional Gel Electrophoresis

  • KIM YEON-HEE;CHOI SEUNG JUN;LEE HYUN-AH;MOON TAE WHA
    • Journal of Microbiology and Biotechnology
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    • 제16권1호
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    • pp.25-31
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    • 2006
  • Changes of CP4 5-enolpyruvylshikimate-3-phosphate synthase (CP4 EPSPS) in the glyphosate-tolerant Roundup Ready soybean were examined using purified CP4 EPSPS produced in cloned Escherichia coli as a control. CP4 EPSPS in genetically modified soybean was detected by twodimensional gel electrophoresis (2-DE) and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and electrospray ionization tandem mass spectrometry (ESI-MS/MS) with databases. CP4 EPSPS in soybean products was resolved on 2-DE by first isoelectric focusing (IEF) based on its characteristic pI of 5.1, followed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) based on its molecular mass of 47.5 kDa. We quantified various percentages of soybean CP4 EPSPS. The quantitative analysis was performed using a 2D software program on artificial gels with spots varying in Gaussian volumes. These results suggested that 2-DE image analysis could be used for quantitative detection of GM soybean, unlike Western blotting.

Identification of a Novel Genetic Locus Affecting ptsG Expression in Escherichia coli

  • Shin Dong-Woo;Lee Sang-Mi;Shin Yu-Rae;Ryu Sang-Ryeol
    • Journal of Microbiology and Biotechnology
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    • 제16권5호
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    • pp.795-798
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    • 2006
  • The phosphoenolpyruvate-dependent carbohydrate phosphotransferase system (PTS) is responsible for the simultaneous transfer and phosphorylation of various carbon sources in Escherichia coli. The ptsG gene encoding the enzyme $IICB^{Glc}$, the membrane component of the glucose-specific PTS, is repressed by Mlc and activated by the CRP cAMP complex; various other factors, such as Fis, FruR, and ArcA, are also known to be involved in ptsG regulation. Thus, in an attempt to discover a novel gene affecting the regulation of ptsG, a mutant with a decreased ptsG transcription in the presence of glucose compared with the wild-type strain was screened using transposon random mutagenesis. The mutant was found to have a transposon insertion in yhjV, a putative gene encoding a transporter protein whose function is yet unknown.