• Title/Summary/Keyword: food safety service

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Non-destructive and Rapid Prediction of Moisture Content in Red Pepper (Capsicum annuum L.) Powder Using Near-infrared Spectroscopy and a Partial Least Squares Regression Model

  • Lim, Jongguk;Mo, Changyeun;Kim, Giyoung;Kang, Sukwon;Lee, Kangjin;Kim, Moon S.;Moon, Jihea
    • Journal of Biosystems Engineering
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    • v.39 no.3
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    • pp.184-193
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    • 2014
  • Purpose: The aim of this study was to develop a technique for the non-destructive and rapid prediction of the moisture content in red pepper powder using near-infrared (NIR) spectroscopy and a partial least squares regression (PLSR) model. Methods: Three red pepper powder products were separated into three groups based on their particle sizes using a standard sieve. Each product was prepared, and the expected moisture content range was divided into six or seven levels from 3 to 21% wb with 3% wb intervals. The NIR reflectance spectra acquired in the wavelength range from 1,100 to 2,300 nm were used for the development of prediction models of the moisture content in red pepper powder. Results: The values of $R{_V}{^2}$, SEP, and RPD for the best PLSR model to predict the moisture content in red pepper powders of varying particle sizes below 1.4 mm were 0.990, ${\pm}0.487%$ wb, and 10.00, respectively. Conclusions: These results demonstrated that NIR spectroscopy and a PLSR model could be useful techniques for measuring rapidly and non-destructively the moisture content in red pepper powder.

High-throughput Gene Expression Analysis to Investigate Host-pathogen Interaction in Avian Coccidiosis

  • Lillehoj Hyun, S.
    • Korean Journal of Poultry Science
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    • v.34 no.1
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    • pp.77-83
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    • 2007
  • Poultry products including meat and eggs constitute a major protein source in the American diet and disease-causing pathogens represent major challenges to the poultry industry. More than 95% of pathogens enter the host through the mucosal surfaces of the respiratory, digestive and reproductive tracts and over the past few decades, the two main mechanisms used to control diseases have been the use of vaccines and antibiotics. However, in the poultry industry, there are mounting concerns over the ability of current vaccines to adequately protect against emerging hyper-virulent strains of pathogens and a lack of suitable, cost effective adjuvants. Thorough investigation of the immunogenetic responses involved in host-pathogen interactions will lead to the development of new and effective strategies for improving poultry health, food safety and the economic viability of the US poultry industry. In this paper, I describe the development of immunogenomic and proteomic tools to fundamentally determine and characterize the immunological mechanisms of the avian host to economically significant mucosal pathogens such as Eimeria. Recent completion of poultry genome sequencing and the development of several tissue-specific cDNA libraries in chickens are facilitating the rapid application of functional immunogenomics in the poultry disease research. Furthermore, research involving functional genomics, immunology and bioinformatics is providing novel insights into the processes of disease and immunity to microbial pathogens at mucosal surfaces. In this presentation, a new strategy of global gene expression using avian macrophage (AMM) to characterize the multiple pathways related to the variable immune responses of the host to Eimeria is described. This functional immunogenomics approach will increase current understanding of how mucosal immunity to infectious agents operates, and how it may be enhanced to enable the rational development of new and effective strategies against coccidiosis and other mucosal pathogens.

Prediction of Soluble Solids Content of Chestnut using VIS/NIR Spectroscopy

  • Park, Soo Hyun;Lim, Ki Taek;Lee, Hoyoung;Lee, Soo Hee;Noh, Sang Ha
    • Journal of Biosystems Engineering
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    • v.38 no.3
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    • pp.185-191
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    • 2013
  • Purpose: The present study focused on the estimation of soluble solids content (SSC) of chestnut using reflectance and transmittance spectra in range of VIS/NIR. Methods: Four species intact/peeled chestnuts were used for acquisition of spectral data. Transmittance and reflectance spectra were used to develop the best PLS model to estimate SSC of chestnut. Results: The model developed with the transmitted energy spectra of peeled chestnuts rather than intact chestnuts and with range of NIR rather than VIS performed better. The best $R^2$ and RMSEP of cross validation were represented as 0.54 and $1.85^{\circ}Brix$. The results presented that the reflectance spectra of peeled chestnuts by species showed the best performance to predict SSC of chestnut. $R^2$ and RMSEP were 0.55 and $1.67^{\circ}Brix$. Conclusions: All developed models showed RMSEP around $1.44{\sim}2.54^{\circ}Brix$, which is considered not enough to estimate SSC accurately. It was noted that $R^2$ of cross validation that we found were not high. For all that, grading of the fruits in two or three classes of SSC during postharvest handling seems possible with an inexpensive spectrophotometer. Furthermore, the development of estimation of SSC by each chestnut species could be considered in that SSC distribution is clustering in different range by species.

Hyperspectral Imaging and Partial Least Square Discriminant Analysis for Geographical Origin Discrimination of White Rice

  • Mo, Changyeun;Lim, Jongguk;Kwon, Sung Won;Lim, Dong Kyu;Kim, Moon S.;Kim, Giyoung;Kang, Jungsook;Kwon, Kyung-Do;Cho, Byoung-Kwan
    • Journal of Biosystems Engineering
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    • v.42 no.4
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    • pp.293-300
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    • 2017
  • Purpose: This study aims to propose a method for fast geographical origin discrimination between domestic and imported rice using a visible/near-infrared (VNIR) hyperspectral imaging technique. Methods: Hyperspectral reflectance images of South Korean and Chinese rice samples were obtained in the range of 400 nm to 1000 nm. Partial least square discriminant analysis (PLS-DA) models were developed and applied to the acquired images to determine the geographical origin of the rice samples. Results: The optimal pixel dimensions and spectral pretreatment conditions for the hyperspectral images were identified to improve the discrimination accuracy. The results revealed that the highest accuracy was achieved when the hyperspectral image's pixel dimension was $3.0mm{\times}3.0mm$. Furthermore, the geographical origin discrimination models achieved a discrimination accuracy of over 99.99% upon application of a first-order derivative, second-order derivative, maximum normalization, or baseline pretreatment. Conclusions: The results demonstrated that the VNIR hyperspectral imaging technique can be used to discriminate geographical origins of rice.

U-Healthcare Patch Type Wireless Body Temperature Monitoring System (유헬스케어 패치형 무선 체온 모니터링 시스템 구현)

  • Park, Young-Sang;Kwon, Oeon;Cho, Hyun-Sung;Son, Jaebum
    • Journal of Biomedical Engineering Research
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    • v.41 no.1
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    • pp.55-61
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    • 2020
  • Recently, there have been many research on fever management using u-healthcare technology. Especially, fever of infants requires continuous monitoring of body temperature by parents. For infants between 4 weeks and under 5 years old, it is recommended to use an electronic thermometer or chemical thermometer in the axilla, or to use an infrared thermometer. However, in order to overcome the reality of not being able to waste significant time on continuous monitoring, there have been demands of patch type thermometers with the internet of things (IoT) and wireless communication technologies. Existing IoT thermometers are difficult to attach to infants' body because they do not take into account its size, and their interoperability is not guaranteed because they do not comply with standards in communication. Therefore, in this study, a patch-type thermometer with a diameter of 20 mm and a weight of 2.9 g was developed to manage the fever of infants, while it communicates wirelessly with Bluetooth Low Energy (BLE) communication protocol and complies with IEEE 11073 PHD(Personal Health Device) at the same time. We verified its performance under the requirements of thermometers regulated by the Korean Ministry of Food and Drug Safety.

Evaluation of Promotional Internet Health Information about Health Functional Foods (주요 건강기능식품 관련 홍보용 인터넷 건강 정보에 대한 평가)

  • Choi, Ji Young;Lee, Jin-Seok
    • Korean Journal of Health Education and Promotion
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    • v.31 no.2
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    • pp.65-78
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    • 2014
  • Objectives: The aim of this study is to evaluate promotional Internet health information on health functional foods with regard to labeling information, website structure, and overall quality. Methods : The websites of 15 producers of three health functional foods (Red ginseng, vitamin, aloe) were selected. Ministry of Food and Drug Safety (MFDS) required labeling information was used to evaluate the integrity of basic information, and the structural properties of the websites were investigated. Moreover, DISCERN instrument was used to evaluate reliability and quality of information. Results : 1) Among MFDS required labeling information, seven items, including 'sell by date', and 'possible side effects' were not fully specified, and only 6.7% of Internet advertisements provided 'possible side effects'. 2) Each of 92.9% of these websites offered 'Introducation to websites and producers', and 'customer service', whereas only 64.3% and 42.9% of these websites offered 'FAQ about website utilization' and 'multilingual support', respectively. 3) The evaluation using DISCERN instrument showed the scores of $2.03{\pm}0.24$ in reliability, $1.87{\pm}0.28$ in quality, and $2.10{\pm}0.55$ in overall quality. Conclusions : Current promotional Internet health information on health functional foods has various weaknesses in terms of reliability and quality that need to be improved.

Study on Development of Non-Destructive Measurement Technique for Viability of Lettuce Seed (Lactuca sativa L) Using Hyperspectral Reflectance Imaging (초분광 반사광 영상을 이용한 상추(Lactuca sativa L) 종자의 활력 비파괴측정기술 개발에 관한 연구)

  • Ahn, Chi-Kook;Cho, Byoung-Kwan;Mo, Chang Yeun;Kim, Moon S.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.32 no.5
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    • pp.518-525
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    • 2012
  • In this study, the feasibility of hyperspectral reflectance imaging technique was investigated for the discrimination of viable and non-viable lettuce seeds. The spectral data of hyperspectral reflectance images with the spectral range between 750 nm and 1000 nm were used to develop PLS-DA model for the classification of viable and non-viable lettuce seeds. The discrimination accuracy of the calibration set was 81.6% and that of the test set was 81.2%. The image analysis method was developed to construct the discriminant images of non-viable seeds with the developed PLS-DA model. The discrimination accuracy obtained from the resultant image were 91%, which showed the feasibility of hyperspectral reflectance imaging technique for the mass discrimination of non-viable lettuce seeds from viable ones.

Prediction of moisture contents in green peppers using hyperspectral imaging based on a polarized lighting system

  • Faqeerzada, Mohammad Akbar;Rahman, Anisur;Kim, Geonwoo;Park, Eunsoo;Joshi, Rahul;Lohumi, Santosh;Cho, Byoung-Kwan
    • Korean Journal of Agricultural Science
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    • v.47 no.4
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    • pp.995-1010
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    • 2020
  • In this study, a multivariate analysis model of partial least square regression (PLSR) was developed to predict the moisture content of green peppers using hyperspectral imaging (HSI). In HSI, illumination is essential for high-quality image acquisition and directly affects the analytical performance of the visible near-infrared hyperspectral imaging (VIS/NIR-HSI) system. When green pepper images were acquired using a direct lighting system, the specular reflection from the surface of the objects and their intensities fluctuated with time. The images include artifacts on the surface of the materials, thereby increasing the variability of data and affecting the obtained accuracy by generating false-positive results. Therefore, images without glare on the surface of the green peppers were created using a polarization filter at the front of the camera lens and by exposing the polarizer sheet at the front of the lighting systems simultaneously. The results obtained from the PLSR analysis yielded a high determination coefficient of 0.89 value. The regression coefficients yielded by the best PLSR model were further developed for moisture content mapping in green peppers based on the selected wavelengths. Accordingly, the polarization filter helped achieve an uniform illumination and the removal of gloss and artifact glare from the green pepper images. These results demonstrate that the HSI technique with a polarized lighting system combined with chemometrics can be effectively used for high-throughput prediction of moisture content and image-based visualization.

Changes and Perspects in the Regulation on Medical Device Approval Report Review, etc. : Focus on Traditional Korean Medical Devices (의료기기 허가·신고·심사 등에 관한 규정 변화와 전망 : 한의 의료기기 중심으로)

  • DaeJin Kim;Byunghee Choi;Taeyeung Kim;Sunghee Jung;Woosuk Kang
    • Journal of Society of Preventive Korean Medicine
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    • v.28 no.1
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    • pp.31-42
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    • 2024
  • Objective : In order to understand the changes in domestic approval regulations applicable to traditional Korean medical device companies, this article will explain the major amendments 「Regulation on Medical Device Approval Report Review, etc.」 from 2005 to the present on a year-by-year basis, and provide a counter plan to the recent changes in approval regulations. Methods : We analysed the changes in approval regulatory amendments related to the traditional Korean medical devices from 2005 to the present. Results : The Ministry of Food and Drug Safety is continuously improving medical device approval regulations to ensure the global competitiveness of domestic medical devices and contribute to the improvement of public health. Recent major approval regulatory amendments include the establishment of a review system for software medical devices and digital therapeutics, the recognition of real world evidence materials, the introduction of a biological evaluation of medical devices within a risk management process and a medical device approval licence renewal system. Conclusions : It is expected that the range of medical devices available to Korean medicine doctors will continue to expand in the future through the provision of non-face-to-face medical services and the development of advanced and new medical devices, as well as wearable medical devices and digital therapeutics. In order to increase the market entry potential of traditional Korean medical devices that incorporate advanced technologies such as digital technology and AI-based diagnosis and prediction technology, it is urgent that the government provide significant support to traditional Korean medical device companies to improve approval regulatory compliance.

Prescriptive analysis of liquid gastric digestive solutions (액상형 건위소화제의 방제학적 분석)

  • Hong Seok Lee;Min Ju Kim;Ye Bin Shin;Soo Myeong Kim;Sung Jong Shin;Kyung Hwan Jegal
    • Herbal Formula Science
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    • v.32 no.3
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    • pp.277-296
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    • 2024
  • Objective : Dyspepsia is one of the most common ailments among Koreans, leading to a continuously expanding market for liquid digestive solutions. These products are popular due to their convenience and low risk of side effects. However, there is a lack of research on the basic prescription composition of these ingredients and their precise indications according to Korean Medicine. Methods : Drugs were selected from the Korea Pharmaceutical Information Service website (http://www.health.kr), focusing on oral and liquid products classified under the Ministry of Food and Drug Safety's category of stomach and digestive aids (category 233). Frequency analysis was conducted to determine the occurrence and combinations of herbal ingredients within each product. Additionally, the four properties and five flavors of each product were calculated using their herbal ingredient composition ratios, and Pearson correlation coefficients were employed to verify the linear relationships between the composition ratios of the ingredients. Results : A comparative analysis of 33 liquid digestive medicines revealed that Zingiberis Rhizoma was the most frequently used herb. The most common dual-herb combination was Zingiberis Rhizoma and Citri Unshius Pericarpium, and the most prevalent tri-herb combination was Zingiberis Rhizoma, Citri Unshius Pericarpium, and Cinnamomi Cortex. Pearson correlation coefficient analysis showed a strong positive correlation between the composition ratios of Zingiberis Rhizoma and Cinnamomi Cortex. The analysis of four properties and five flavors indicated that products with warm and bitter flavors were the most common. Conclusions : The most frequently used herbal combination in liquid digestive solutions was Zingiberis Rhizoma, Citri Unshius Pericarpium, and Cinnamomi Cortex. This composition is suitable for treating dyspepsia caused by cold-dampness in the digestive system.