• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.1513-1513
• /
• 2001

Present Food Legislation compels dairy industry to carry out analyses in order to guarantee the food safety and quality of products. Furthermore, in many cases industry pays milk according to bacteriological or/and nutritional quality. In order to do these analyses, several expensive instruments are needed (Milkoscan, Fossomatic, Bactoscan). NIRS technology Provides a unique instrument to deal with all analytical requirements. It offers as main advantages its speed and, specially, its versatility, since not only allows determine all the parameters required in milk analysis, but also allows analyse other dairy products, like cheese or whey. The objective of this study is to develop NIRS calibration equations to predict several quality parameters in goat milk, cheese and whey. Three sets of 123 milk samples, 190 cheese samples and 109 whey samples, have been analysed in a FOSS NIR Systems 6500 I spectrophotometer equipped with a spinning module. Milk and whey were analysed by folded transmission, using circular cells with gold surface and pathlength of 0.1 m, while intact cheese was analysed by reflectance using standard circular cells. NIRS calibrations were obtained for the prediction of chemical composition in goat milk, for fat (r$^2$=0.92; SECV=0.20%), total solids (r$^2$=0.95: SECV=0.22%), protein (r$^2$=0.94; SECV=0.07%), casein (r$^2$=0.93; SECV=0.07%) and lactose (r$^2$=0.89; SECV=0.05%). Moreover, equations have been performed to determine somatic cells (r$^2$=0.81; SECV=276.89%) and total bacteria (r$^2$=0.58; SECV=499.32%) counts in goat milk. In the case of cheese, calibrations were obtained for the prediction of fat (r$^2$=0.92; SECV=0.57), total solids (r$^2$=0.80; SECV=0.92%) and protein (r$^2$=0.70; SECV=0.63%). In whey, fat (r$^2$=0.66; SECV=0.08%), total solids (r$^2$=0.67; SECV=0.19%) and protein (r$^2$=0.76; SECV=0.07%) NIRS equations were obtained. These results proved the viability of NIRS technology to predict chemical and microbiological parameters and somatic cells count in goat milk, as well as chemical composition of goat cheese and whey.

• Korean journal of applied entomology
• /
• v.61 no.4
• /
• pp.605-614
• /
• 2022

Two major problems currently threaten human survival on Earth: climate change and the rapid aging of the population in developed countries. Climate change is a result of the increase in greenhouse gas (GHG) concentrations in the atmosphere due to the increase in the use of fossil fuels owing to economic and transportation development. The rapid increase in the age of the population is a result of the rise in life expectancy due to the development of biomedical science and technology and the improvement of personal hygiene in developed countries. To avoid irreversible global climate change, it is necessary to quickly transition from the current fossil fuel-based economy to a zero-carbon renewable energy-based economy that does not emit GHGs. To achieve this goal, the dairy and livestock industry, which generates the most GHGs in the agricultural sector, must transition to using low-carbon emission production methods while simultaneously increasing consumers' preference for low-carbon diets. Although 77% of currently available arable land globally is used to produce livestock feed, only 37% and 18% of the proteins and calories that humans consume come from dairy and livestock farming and industry. Therefore, using edible insects as a protein source represents a good alternative, as it generates less GHG and reduces water consumption and breeding space while ensuring a higher feed conversion rate than that of livestock. Additionally, utilizing the functionality of medicinal insects, such as silkworms, which have been proven to have certain health enhancement effects, it is possible to develop functional foods that can prevent or delay the onset of currently incurable degenerative diseases that occur more frequently in the elderly. Insects are among the first animals to have appeared on Earth, and regardless of whether humans survive, they will continue to adapt, evolve, and thrive. Therefore, the use of various edible and medicinal insects, including silkworms, in industry will provide an important foundation for human survival and prosperity on Earth in the near future by resolving the current two major problems.

• Journal of the Korean Society of Food Culture
• /
• v.20 no.1
• /
• pp.15-20
• /
• 2005

This study seeks to classify the skin types and determined the relation between the dietary habit and preference of foods targeting college women in Daegu and Gyeong-Buk Province. Skin types of the subjects were 31% of combination skin, 25% of dry skin and 22% of normal, oily skin. College women mostly had two meals a day, and those who had less frequent meals developed more combination skin. Many of them did not exercise, and women with normal skin who did not exercise showed the lowest at 13.9%, supporting the significance (p<.05). It was exposed that don't have breakfast and have irregular meal and don't have easy meal in all skin types. Instant foods was exposed that ingested the most in dry skin and the least in oily skin, supporting the significance(p<.05) and fruit or vegetable ingested much in dry skin. It was exposed that considered atmosphere at meal and meal helps in health in all skin types, normal skin type considered balanced diets the most and supporting the significance(p<.01) Food preference in all skin types showed the strongest in drinks and showed strong in greenish yellow vegetables, fruits, confectioneries, drinks, milk and dairy goods. On the other hand, it showed low in nuts and salted fishes. In sum, regular and balanced meals give the skin a healthy status, and intake of protein, vitamins and minerals has impact on the skin status. Thus, sufficient quality nutrition is crucial in staying a healthy skin.

• Journal of Agricultural Extension & Community Development
• /
• v.17 no.1
• /
• pp.25-43
• /
• 2010

The objectives of this study are to estimate the number of employed persons related to agriculture in agribusiness, to determine any factors affecting changes in employed persons, based on the Input-Output Tables in 1995, 2000, and 2005. The number of employed persons related to Crops in the input industry of agriculture was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Agriculture, forestry and fishing related services, Wholesale and retail trade, Fertilizers and agricultural chemicals, and Forest products, etc. The number of employed persons related to Animals in the input industry of agriculture was 46,6166 in 1995, 28,886 in 2000, and 35,714 in 2005. The sectors with higher number of employed persons were in; Wholesale and retail trade, Prepared livestock feeds, Agriculture, forestry and fishing related services, and Forest products, etc. The number of employed persons related to Crops in post-farm gate industries was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Accommodation and food services, Other food products, Wholesale and retail trade, and Polished grains, flour and milled cereals, etc. The number of employed persons related to Animals in the post-farm gate industries was 184,076 in 1995, 186,616 in 2000, and 193,394 in 2005. The sectors with higher number of employed persons were in; Meat and dairy products, Wholesale and retail trade, Accommodation and food services, and Land transport, etc. In 2005, the number of employed persons related to agriculture in agribusiness per 1,000 employed persons in agriculture was 211, in the input industries in agriculture it was 53, and in the post-farm gate industries it was 158.gribusiness.

• Journal of the Korean Dietetic Association
• /
• v.13 no.2
• /
• pp.123-137
• /
• 2007

The purpose of this study was to investigate the current nutritional labeling practices in the processed foods industry. Package labels provide consumers with reliable nutritional information, which has been considered a useful aid for food selection and a potent educational tool for nutrition in a daily life. To assess the nutritional composition labeling and nutritional claims on the food package labels in the Korean market, 2,691 processed foods were purchased from a wholesale market in August, 2004, under the food categories specified in the 2004 Food Code. Nutritional composition labels were found on 674 out of the 2,691 processed foods items. The study findings were as follows. Milk and dairy products showed the highest percentage(56.6%) of nutritional composition labeling among the food categories, while 86.2% of processed foods carried inappropriate types of nutrition labels. The title of nutritional composition labeling was ordered according to the nutritional composition presented on the top part of the box. The regulations method which it indicates was 77.8%. The expression unit of the nutritional composition labeling was per 100g(32.8%) or per OOg (29.4%). Of total processed foods, 83(3.1%) offered nutritional claims in their labels. These claims were divided into two ways: nutrient content claims and nutrient comparative claims. The most frequently used term in nutrient content claims was "contained"(67.2%). "More" or "Plus" were frequently used term in nutrient comparative claims(11.2%). Calcium was the most popular among nutrients claimed by processed foods(34.3%).

• Food Science of Animal Resources
• /
• v.27 no.4
• /
• pp.538-542
• /
• 2007

This study was carried out to investigate the toxicity of exopolysaccharides (EPS) from kefir toward MA104 cells and evaluate the inhibitory effects of kefir EPS on rotavirus infection. The results obtained are summarized as follows: Lactic acid bacteria (Lactobacillus fermentum, L. acidophilus, L. brevis) and yeasts (Candida kefyr, Cryptococcus albidus, Pichia ohmeri) were isolated and identified from kefir grain and culture. At 1% EPS, the inhibitory effects of EPS on the infection of MA-104 cells using the MTT assay were $72.52{\pm}6.48%$ for human rotavirus (KU), $36.06{\pm}7.63%$ for bovine rotavirus (NCDV), and $81.66{\pm}1.11%$ for porcine rotavirus (OSU). At 1/128% EPS, the effects were $24.98{\pm}4.58%$ for human rotavirus (KU), $4.71{\pm}6.16%$ for bovine rotavirus (NCDV), and $4.05{\pm}14.90%$ forporcine rotavirus (OSU). EPS isolated from kefir have inhibitory effects on rotaviruses of various serotypes and rotaviruses from different animals.

• Korean Journal of Agricultural Science
• /
• v.45 no.4
• /
• pp.789-797
• /
• 2018

This study investigated the activity of crude enzymes obtained from Pyrus pyrifolia cv. Shingo on milk proteins. In the milk processing industry, there is an increasing interest in the addition of functional materials to dairy products or functional peptides isolated from milk proteins. First, Pyrus pyrifolia cv. Shingo was separated into core, flesh, and peel regions, and crude enzymes were obtained from the individual regions. The activity of the obtained crude enzymes was measured using casein and gelatin agar. The crude enzyme obtained from the flesh of Pyrus pyrifolia cv. Shingo decomposed gelatin, but the activity of the crude enzymes obtained from the peel and core regions was insignificant. On the other hand, the crude enzymes obtained from the flesh and core regions of Pyrus pyrifolia cv. Shingo had a remarkable enzymatic activity in casein agar. However, the activity of the crude enzyme obtained from the peel region was insignificant. In addition, the crude enzymes obtained from the individual regions were mixed with casein to induce reactions, and the degradation patterns were investigated through electrophoresis and high performance liquid chromatography (HPLC). According to the results, the crude enzymes from Pyrus pyrifolia cv. Shingo degraded milk proteins. Thus, the results of this study can be used in studies on functionality. Additionally, it is expected that the use of pear peels and cores in the milk processing industry would greatly contribute to the reduction of food waste.

• Food Science of Animal Resources
• /
• v.41 no.2
• /
• pp.173-184
• /
• 2021

Clean labeling is emerging as an important issue in the food industry, particularly for meat products that contain many food additives. Among synthetic additives, nitrite is the most important additive in the meat processing industry and is related to the development of cured color and flavor, inhibition of oxidation, and control of microbial growth in processed meat products. As an alternative to synthetic nitrite, preconverted nitrite from natural microorganisms has been investigated, and the applications of pre-converted nitrite have been reported. Natural nitrate sources mainly include fruits and vegetables with high nitrate content. Celery juice or powder form have been used widely in various studies. Many types of commercial starter cultures have been developed. S. carnosus is used as a critical nitrate reducing microorganism and lactic acid bacteria or other Staphylococcus species also were used. Pre-converted nitrite has also been compared with synthetic nitrite and studies have been aimed at improving utilization by exploiting the strengths (positive consumer attitude and decreased residual nitrite content) and limiting the weaknesses (remained carcinogenic risk) of pre-converted nitrite. Moreover, as concerns regarding the use of synthetic nitrites increased, research was conducted to meet consumer demands for the use of natural nitrite from raw materials. In this report, we review and discuss various studies in which synthetic nitrite was replaced with natural materials and evaluate pre-converted nitrite technology as a natural curing approach from a clean label perspective in the manufacturing of processed meat products.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.8
• /
• pp.335-343
• /
• 2019

Healthy living is an essential element of human happiness. Quality eating provides the basis for life, and the health of livestock, which provides meat and dairy products, has a direct impact on human health. In the case of calves, diarrhea is the cause of all diseases.In this paper, we use a sensor to measure calf 's biometric data to diagnose calf diarrhea. The collected biometric data is subjected to a preprocessing process for use as meaningful information. We measure calf birth history and calf biometrics. The ontology is constructed by inputting environmental information of housing and biochemistry, immunity, and measurement information of human body for disease management. We will build a knowledge base for predicting calf diarrhea by predicting calf diarrhea through logical reasoning. Predict diarrhea with the knowledge base on the name of the disease, cause, timing and symptoms of livestock diseases. These knowledge bases can be expressed as domain ontologies for parent ontology and prediction, and as a result, treatment and prevention methods can be suggested.

• Journal of Animal Science and Technology
• /
• v.66 no.1
• /
• pp.31-56
• /
• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.