• Journal of Food Hygiene and Safety
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• v.27 no.1
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• pp.68-73
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• 2012

In this study, a method was developed using molecular biological technique to distinguish an authenticity of meats for processed meat products. The genes for distinction of species about meats targeted at 12S or 16S genes in mitochondrial DNA and the species-specific primers were designed by that PCR products' size was around 200bp for applying to processed products. The target materials were 10 species of livestock products and it checked whether expected PCR products were created or not by electrophoresis after PCR using species-specific primers. The results of PCR for beef, pork, goat meat, mutton, venison, and horse meat were 131, 138, 168, 144, 191, and 142 bp each. The expected PCR products were confirmed at 281, 186, 174, and 238 bp for chicken, duck, turkeymeat, and ostrich. Also, non-specific PCR products were not detected in similar species by species-specific primers. The method using primers developed in this study confirm to be applicable for composite seasoning including beefs and processed meat products including pork and chicken. Therefore, this method may apply to distinguish an authenticity of meats for various processed products.

• Korean Journal of Food Science and Technology
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• v.25 no.4
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• pp.345-350
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• 1993

Fatty acid composition of sesame oil could be distinguished from that of rapeseed oil and soybean oil by the content of linolenic acid. The relative composition of each fatty acid revealed the clear difference between sesame oil and other vegetable oils except corn oil. Ricebran oil was different from sesame oil in the relative composition of palmitic acid with respect to stearic acid and cottonseed oil in oleic acid to linoleic acid. ${\delta}^{13}C$ of corn oil was $19.40%_{\circ}$, in oleic acid and $-17.11%_{\circ}$, in linoleic acid, while that of sesame oil was $-27.60%_{\circ}$ in oleic acid and $-27.70%_{\circ}$ in linoleic acid. Therefore, most adulterant could be detected by comparing the ratio of fatty acids in vegetable oils except corn oil. It could, however, be detected by comparing carbon isotope ratio in the case of corn oil.

• Journal of Food Hygiene and Safety
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• v.31 no.6
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• pp.445-450
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• 2016

Thermal-stable soluble proteins (TSSP) in livestock products has been recently reported. Therefore, the development of antibodies and immunoassay using a TSSP is useful because the presence of TSSP can be measured on processed food. In this study, the existence of TSSPs in pork fat and meat was confirmed and their antigenicity was investigated. The extracts from pork fat and meat by heating method were analyzed by SDS-PAGE with 5% stacking and 12% separating gels. The protein profiles from the raw pork fat and meat extracts (major band ranged 25 to 100 kDa) without cooking and heating treatments were significantly different compared to those from cooked and heated pork fat and meat extracts (several major bands > 100 kDa and < 30 kDa). This meant that non thermal-stable soluble proteins ranged from 25 to 100 kDa may be denaturated to insoluble proteins by cooking and heating treatments, and TSSPs were in pork fat and meat at kept their properties. The confirmed TSSPs were used as an immunogen to investigate their antigenicity. Eight mice (5 mice for pork fat and 3 mice for pork meat) were separately immunized with the TSSPs of pork fat and meat, and the anti-sera obtained from the immunized mice showed high titer values. Polyclonal antibodies against each target protein showed the specific reaction to pork fat and meat, individually. These indicated that TSSP could be used as an immunogen to produce antibodies such as monoclonal and polyclonal antibodies. In addition, antibodies specific to TSSP from pork fat and meat may be used as a bio-receptor in immunoassays for the identification of fraudulent adulteration with pork fat and meat in livestock products.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1246-1246
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• 2001

The quality of meat is highly variable in many properties. This variability originates from both animal production and meat processing. At the pre-slaughter stage, animal factors such as breed, sex, age contribute to this variability. Environmental factors include feeding, rearing, transport and conditions just before slaughter (Hildrum et al., 1995). Meat can be presented in a variety of forms, each offering different opportunities for adulteration and contamination. This has imposed great pressure on the food manufacturing industry to guarantee the safety of meat. Tissue and muscle speciation of flesh foods, as well as speciation of animal derived by-products fed to all classes of domestic animals, are now perhaps the most important uncertainty which the food industry must resolve to allay consumer concern. Recently, there is a demand for rapid and low cost methods of direct quality measurements in both food and food ingredients (including high performance liquid chromatography (HPLC), thin layer chromatography (TLC), enzymatic and inmunological tests (e.g. ELISA test) and physical tests) to establish their authenticity and hence guarantee the quality of products manufactured for consumers (Holland et al., 1998). The use of Near Infrared Reflectance Spectroscopy (NIRS) for the rapid, precise and non-destructive analysis of a wide range of organic materials has been comprehensively documented (Osborne et at., 1993). Most of the established methods have involved the development of NIRS calibrations for the quantitative prediction of composition in meat (Ben-Gera and Norris, 1968; Lanza, 1983; Clark and Short, 1994). This was a rational strategy to pursue during the initial stages of its application, given the type of equipment available, the state of development of the emerging discipline of chemometrics and the overwhelming commercial interest in solving such problems (Downey, 1994). One of the advantages of NIRS technology is not only to assess chemical structures through the analysis of the molecular bonds in the near infrared spectrum, but also to build an optical model characteristic of the sample which behaves like the “finger print” of the sample. This opens the possibility of using spectra to determine complex attributes of organic structures, which are related to molecular chromophores, organoleptic scores and sensory characteristics (Hildrum et al., 1994, 1995; Park et al., 1998). In addition, the application of statistical packages like principal component or discriminant analysis provides the possibility to understand the optical properties of the sample and make a classification without the chemical information. The objectives of this present work were: (1) to examine two methods of sample presentation to the instrument (intact and minced) and (2) to explore the use of principal component analysis (PCA) and Soft Independent Modelling of class Analogy (SIMCA) to classify muscles by quality attributes. Seventy-eight (n: 78) beef muscles (m. longissimus dorsi) from Hereford breed of cattle were used. The samples were scanned in a NIRS monochromator instrument (NIR Systems 6500, Silver Spring, MD, USA) in reflectance mode (log 1/R). Both intact and minced presentation to the instrument were explored. Qualitative analysis of optical information through PCA and SIMCA analysis showed differences in muscles resulting from two different feeding systems.

• The Journal of Korean Medicine
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• v.27 no.1 s.65
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• pp.78-90
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• 2006

Background : Traditional herbal medicine is used extensively among the Korean populations, and other Asian countries employ similar therapies as well. In recent years, extensive focus was laid on adulteration of the herbal medicine with liver damage. The use of herbal preparations as remedies for various medical conditions has continuously increased in Korea. Large proportions of Korean patients use herbal medicinal products, folk remedies, and health food. However, studies on the safety of herbal products are conducted on a less than sufficient basis even in the countries like Korea where herbal medicine is being used extensively. Some of the reports on the safety of herbs were done by the doctors of western medicine but lack of knowledge and misclassification led to misunderstandings. Objectives : This study aims to verify the evidences on safety of frequently used 4 herbal medications (Sipjeondaebo-tang, Bojungikgi-tang, Ohjeok-San, Yukmaijihwang-tang) in the lab animal model. Methods : Sprague-Dawley rats was treated by 4 herbal medications during 31 days. After 1 month, we checked body weight, liver weight, and serum enzyme associated with liver function. Results : There is no significant difference in body weight and liver weight after 1 month of administrations. In all experimental groups, no abnormal findings was observed in histotogical research and lab liver Functions test(AST, ALT etc). Conclusions : These four herbal medications, frequently used in oriental medicine clinics and hospitals, are safe from hepatoxic events in the lab animal model.

• The Korean Journal of Food And Nutrition
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• v.27 no.3
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• pp.339-347
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• 2014

This study investigated the classification of olive oils that are mainly distributed in Korea via imports. The fatty acid contents, degree of color, pigments, anti-oxidants, and sterol contents are analyzed on the different types of olive oil as follows: 10 kinds of extra virgin olive oil, 5 kinds of pure olive oil, and 5 kinds of refined olive-pomace oil. As a result of fatty acid analysis, the majority of oleic acid ($C_{18:1}$) and palmitic acid ($C_{16:0}$), and minority of linoleic acid ($C_{18:2}$) and stearic acid ($C_{18:0}$) were detected without any significant differences between the grades of olive oils. The UV spectrum is related to the ${\Delta}K$, and it is a part of the analysis factor for the purity and degree of degradation of the oil. Extra virgin olive oil had ${\Delta}K$ of almost 0, pure olive oil had 0.07~0.12, and refined olive-pomace oil had 0.1~0.13. These differed from extra virgin oil, and the pure or pomace oil ${\Delta}K$ had a confirmed distinct difference. The color degrees of chlorophyll with a low $L^*$ value and $(-)a^*$ (green) and carotenoid with $(+)b^*$ (yellow) were confirmed to have correlation between extra virgin and other olive oils. To compare chlorophyll and carotenoid as natural pigment in olive oils, 417 nm and the ratio of the absorbance at 480 nm (417/480) was calculated at 1.62 of extra virgin, 1.85 of pure olive oil, and 3.32 of refined olive-pomace oil. Therefore, it will be possible to distinguish when the extra virgin or pure olive oil are mixed with olive-pomace oil. The total amount of tocopherol, an anti-oxidant, were 19.06 in extra virgin, 10.91 in pure olive oil, and 27.88 in refined olive-pomace oil. The high content of tocopherol in pomace oil caused recovery of solvent extraction from olive pulp. Thus, extra virgin oil and pure olive oil were distinguished by olive-pomace oil. Polyphenol compounds in extra virgin olive oil measured high only in ferulic acid with 0.543 mg/kg, caffeic acid with 0.393 mg/kg, and other vanillic acid, vanillin, and p-coumaric acid had similar amount of 0.3 mg/kg. All grade of olive oils had the highest ${\beta}$-sitosterol content. Af (Authenticity factor) value were estimated with campesterol and stigmasterol content ratio (%). Af value was 19.2 in extra virgin olive oil, 17.1 in pure olive oil, 16.9 in refined olive-pomace oil, which were distinctive from sunflower oil with 3.7, corn oil with 2.4, and soybean oil with 2.0. It can provide important indicator of olive oil adulteration with other cheap vegetable oils. The results of this study can be used as a database for the classification of olive oil grade and distinguishing between the different types of oils.

• Korean Journal of Agricultural Science
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• v.48 no.2
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• pp.299-310
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• 2021

Glycerol is a non-volatile compound with no aromatic properties that contributes significantly to the quality of wine by providing sweetness and richness of taste. In addition, it is also the third most significant byproduct of alcoholic fermentation in terms of quantity after ethanol and carbon dioxide. In this study, Fourier transform infrared (FT-IR) spectroscopy was employed as a fast non-destructive method in conjugation with multivariate regression analysis to build a model for the quantitative analysis of glycerol concentration in wine samples. The samples were prepared by using three varieties of red wine samples (i.e., Shiraz, Merlot, and Barbaresco) that were adulterated with glycerol in concentration ranges from 0.1 to 15% (v·v^-1), and subjected to analysis together with pure wine samples. A net analyte signal (NAS)-based methodology, called hybrid linear analysis in the literature (HLA/GO), was applied for predicting glycerol concentrations in the collected FT-IR spectral data. Calibration and validation sets were designed to evaluate the performance of the multivariate method. The obtained results exhibited a high coefficient of determination (R²) of 0.987 and a low root mean square error (RMSE) of 0.563% for the calibration set, and a R² of 0.984 and a RMSE of 0.626% for the validation set. Further, the model was validated in terms of sensitivity, selectivity, and limits of detection and quantification, and the results confirmed that this model can be used in most applications, as well as for quality assurance.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.12
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• pp.1867-1872
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• 2010

Microbe and quality changes of vacuum-packaged ready-to-eat lettuce were analyzed. While the vacuumpackaged lettuce after chlorine sanitizer were stored at $5^{\circ}C$, $15^{\circ}C$, and $25^{\circ}C$ for 7 days, viable numbers of total aerobic bacteria (TAB), coliform, E. coli, food-borne pathogens and lactic acids bacteria (LAB) were counted with gas production and sensory evaluation. Before the storage, only TAB of 2 log CFU/g and coliform of 1 log CFU/g were detected and LAB was not detected. TAB, coliform and LAB increased by 1 log CFU/g at $5^{\circ}C$ for 7 days without any detection of the pathogens. Sensory evaluations for off-flavour and crispness dropped to half the best value at 5 day storage. TAB and coliform increased by 3 log CFU/g and 2 log CFU/g, respectively, but LAB grew very actively by 4 log CFU/g under anaerobic environment and only B. cereus were detected after enrichment of the lettuce at $15^{\circ}C$ for 3 days. The evaluations for off-flavour and crispness were half the best value for 3 days. However, TAB and coliform increased by 3 log CFU/g, 1 log CFU/g, and 4 log CFU/g, respectively only at 1 day storage under $25^{\circ}C$. Also B. cereus were detected after enrichment and the sensory evaluation were half the best value within 1 day storage. Therefore, preservation at the lowest temperature possible is required for growth inhibition of the bacteria contaminated in the lettuce. Interestingly, LAB among them grew most actively under the anaerobic condition and the adulteration of lettuce might be closely related with the growth of LAB.

• Journal of Food Hygiene and Safety
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• v.31 no.1
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• pp.28-35
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• 2016

Species identification of animal tissues in meat products is an important issue to protect the consumer from illegal and/or undesirable adulteration; for economic, religious and health reasons. In this reason, accurate analytical methods are needed for the labeling of meat products with requiring simple and fast procedure. Recently, applications of PCR in food analysis have been increased because of their simplicity, specificity and sensitivity. Therefore, in this study, a multiplex PCR assay was developed for the simultaneous identification of eight species of cow, pig, chicken, duck, goat, sheep, horse and turkey from raw meats. The primers were designed in different regions of mitochondrial 16S RNA after alignment of the available sequences in the GenBank database. Two multiplex primer sets were designed as Set 1 (cow, pig, chicken, duck) and Set 2 (goat, sheep, horse, turkey), respectively. Total 274 samples from cow (n = 55), pig (n = 30), chicken (n=30), and duck (n = 30), goat (n = 40), sheep (n = 33), horse (n = 41), and turkey (n = 15) were tested. The primers generated specific fragments of 94, 192, 279, 477 bp (pig, chicken, cow, duck), 670, 271, 152, 469 bp (goat, sheep, horse, turkey) lengths for eight species, respectively. The animal species specificity was 100% in all eight samples in the multiplex PCR assay. The detection limit of the multiplex PCR assay showed from 100 fg to 1 pg of template DNA from extracted from raw meats. When applying multiplex PCR assays to sample from pork/beef and pork/chicken, beef/chicken tested raw mixed meats and heat-treated ($83^{\circ}C$ for 30min, $100^{\circ}C$ for 20min, and $121^{\circ}C$ for 10min) mixtures, detection limit was 0.1% level beef, pork and pork in beef and chicken in pork and 1.0% level pork in chicken. This study suggest that the developed multiplex PCR assay can be used for rapid and simultaneous species identification of cow, pig, chicken, duck, goat, sheep, horse and turkey from meats.

• Agribusiness and Information Management
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• v.11 no.1
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• pp.27-39
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• 2019

Agricultural risks are exacerbated by a variety of factors ranging from climatevariability and change, frequent natural disasters, uncertainties in yields and prices, weakrural infrastructure, imperfect markets and lack of financial services including limited spanand design of risk mitigation instruments such as credit and insurance. Indian agriculture has little more than half (53%) of its area still rainfed and this makes it highly sensitive to vagaries of climate causing unstable output. Besides adverse climatic factors, there are man-made disasters such as fire, sale of spurious seeds, adulteration of pesticides and fertilizers etc., and all these severely affect farmers through loss in production and farm income, and are beyond the control of farmers. Hence, crop insurance' is considered to be the promising tool to insulate the farmers from risks faced by them and to sustain them in the agri-business. This paper critically evaluates the performance of recent crop insurance scheme viz., Pradhan Mantri Fasal Bhima Yojana (PMFBY) and its comparative performance with earlier agricultural insurance schemes implemented in the country. It is heartening that, the comparative performance of PMFBY with earlier schemes revealed that, the Government has definitely taken a leap forward in covering more number of farmers and bringing more area under crop insurance with the execution of this new scheme and on this front, it deserves the appreciation in fulfilling the objective for bringing more number of farmers under insurance cover. The use of mobile based technology, reduced number of Crop Cutting Experiments (CCEs) and smart CCEs, digitization of land record and linking them to farmers' account for faster assessment/settlement of claims are some of the steps that contributed for effective implementation of this new crop insurance scheme. However, inadequate claim payments, errors in loss/yield assessment, delayed claim payment, no direct linkage between insurance companies and farmers are the major shortcomings of this scheme. This calls for revamping the crop insurance program in India from time to time in tune with the dynamic changes in climatic factors on one hand and to provide a safety-net for farmers to mitigate losses arising from climatic shocks on the other. The future research avenues include: insuring the revenue of the farmer (Price × Yield) as in USA and more and more tenant farmers should be brought under insurance by doling out discounts for group coverage of farmers like in Philippines where 20 per cent discount in premium is given for a group of 5-10 farmers, 30 per cent for a group of 10-20 and 40 per cent for a group of >20 farmers.