• Journal of Food Hygiene and Safety
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• v.34 no.2
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• pp.212-218
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• 2019

The process of establishing domestic standards on hazardous substances in food safety regulations requires harmonization with standards from the Codex Alimentarius Commission (CAC). For this purpose, food classification by the CAC (Codex Classification of Foods and Animal Feeds) also needs to be clearly understood. Therefore, this paper aimed to introduce the Codex Classification on cereal grains, nuts/seeds and herbs/spices because revisions of the Codex were completed in 2017 for cereal grains and in 2018 for nuts/seeds and herbs/spices. The revised Codex Classification on those foods is briefly summarized as follows. Cereal grains in the domestic food classification by the Ministry of Food and Drug Safety, Korea (MFDS) corresponds to the Codex Group 020 cereal grains with six subgroups. The MFDS's nuts and seeds classification corresponds to three groups in the Codex, namely, Group 022 (tree nuts with no subgroups), Group 023 (oilseeds and oilfruits with 5 subgroups), and Group 024 (seeds for beverages and sweets with no subgroups). The food commodities of herbs and spices are included in two Codex groups, Group 027 (with 3 subgroups) and Group 028 (with 9 subgroups). The number of Codex commodity codes assigned to food commodities was 27 for Group 020, 32 for Group 022, 46 for Group 023, 4 for Group 024, 127 for Group 027 and 138 for Group 028. In between the Codex Classification and the MFDS's classification, some differences are shown. For example, the MFDS did not create a subgroup under groups of cereal grains and herbs. The MFDS classified peanuts into the nut group, though a separate group for oilseeds is present, while the Codex classified peanuts into the oilseed and oilfruit group. In addition, there is also a separate group of "plants, others" present in the MFDS's classification. Therefore, care is needed in using the Codex Classification.

• Journal of environmental and Sanitary engineering
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• v.13 no.2
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• pp.115-120
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• 1998

This Study was performed to investigate the contents of aflatoxin $B_{1}$ in cereal, pulse, nuts and these products of domestic and import. These results were as follows. 1. Average concentration(in ${\mu}g/kg$) of aflatoxin $B_{1}$ in domestic foods were 2.6 in cereal, 3.9 in pulse, 4.2 in nuts and 1.4 grain products. The contents of aflatoxin B$_{1}$ in pulse and nuts were much higher than those of cereal and grain products. But their values were still within $10{\mu}g/kg$ the maximum residual level of aflatoxin $B_{1}$ for food of Korea. 2. Average contents of aflatoxin $B_{1}$ in import foods were 4.8, 5.4, 6.0, $3.8{\mu}g/kg$ for cereal pulse , nuts and popcorn & peanuts butter, respectively. And these values were found to be below the maximum residual level ($10{\mu}g/kg$) of aflatoxin $B_{1}$ for food of Korea. 3. The concentration of aflatoxin $B_{1}$ in 2 samples of domestic and 9 samples of import foods were over the tolerance limit for aflatoxin $B_{1}$ in food of Korea. Therefore, the hygienic managements of the foods should be required during storage and circulation at market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.937-943
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• 2009

In this paper, the algorithm discriminating the existence and nonexistence of bolts and nuts using image processing in an automobile T-Bar influencing the vibration of a frame, is introduced. To distinct whether bolts and nuts exist or not, the features of bolts and nuts are learned, and then these feature values are matched using a statistical pattern matching algorithm. Furthermore, the minimum and maximum variation rate of pixel values are used since the matching rate is low with the large variation of pixel values of bolts and nuts in each image. The proposed method in this paper is very efficient in the automation of inspection requiring real time since the inspection time is significantly reduced compared with the conventional methods.

• Journal of Biosystems Engineering
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• v.33 no.6
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• pp.384-389
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• 2008

Three prototype chestnut harvesters were constructed and evaluated their chestnut collection ability and field efficiency. Air-lock paddle system successfully picked up all loose material, and pick up efficiency was about 56 kg/h. Power required to operate this system was evaluated to be 8.7 kW with an air flow rate of $32.6\;m^3/min$. A radial blade type blower with 0.41 m impeller diameter was considered to be a minimum size for this system. For the auger system, air was sucked into the cylinder as the hinged flat cover began to be opened by the material pushed by the auger, and the empty burrs flew back to the container through the space between auger flights and collected in the bottom of the container. It was considered to add a device to prevent air from flowing back or to use the back flowing air for separation of burrs and nuts inside the container. The venturi system could not pick up chestnuts, as they only carried part way up to the suction hose. Consideration was given to an idea that the venturi could be used as a cleaning and separation mechanism for containers filled with both empty burrs and good nuts. A minimum vacuum of 129 mm wg was required to pick up chestnuts, and the corresponding inlet air velocity was 19.3 m/s. 104 mm of vacuum, which was about 81 % of that required for nuts, was enough to pick up burrs with nuts inside. Also, empty burrs with higher moisture content recorded the same pressure as for the burrs with nuts.

• The Korean Journal of Food And Nutrition
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• v.29 no.4
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• pp.583-594
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• 2016

The purpose of this study was to determine the optimal mixing ratio of olive oil, parmesan cheese, and nuts for preparation of pesto with spinach. Based on a surface response methodology (RSM), the independent variables were olive oil (100~300 g), parmesan cheese (25~75 g) and nuts (12~36 g). The dependent variables were physico-chemical properties as pH, color values (L, a, and b values), viscosity and sensory evaluation. pH decreased with increasing parmesan cheese levels. The L value decreased and the a and b values increased with increasing olive oil levels. Viscosity was negatively correlated with olive oil levels but positively correlated with the amounts of parmesan cheese and nuts. The addition of oil exerted a positive effect on gloss, and oily taste. In the sensory evaluation, the values of appearance, color, flavor, taste and overall acceptance were in the range of 4.4~7.2, 3.7~7.4, 4.4~7.1, 3.9~7.3 and 3.5~7.6, respectively. The sensory evaluation results showed significant values in appearance (p<0.01), flavor (p<0.01), taste (p<0.01) and overall acceptance (p<0.05). The optimal amounts of spinach pesto with olive oil, parmesan cheese, and nuts were determined by numerical optimization of a canonical model and graphical optimization. The optimal amounts were 175.29 g of olive oil, 49.51 g parmesan cheese, and 27.37 g of nuts per 100 g of spinach.

• Journal of Sasang Constitutional Medicine
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• v.15 no.1
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• pp.1-11
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• 2003

In Sasang Constitutional Medicine, pine trees have been used as medicines for Taeyangin and a pine-nuts tree for Taeumin. However, there has been some misunderstandings in interpretation as the Koreans referred to back(栢) as pine-nuts tree as well as cheukback(측백) tree. Also, we have disputed over how to translate songback(松栢). Regarding this dispute, 1 came to the following conclusion based on a research with exactitude. 1. Songja (松子), Songjain(松子仁), Songsil(松實) means Pinus Koraiensis(잣), not a pine .one. 2. Backja(栢子) is a fruit of Cheukback(측백) tree, not of a pinus koraiensis(잣). 3. Some part of 'yulsunjun(列仙傳)' quoted to explain pine-nuts in Bonchogangmok(本草綱目) was misrepresented. 4. In regard to the record that a court lady of Chin(秦) Dynasty lived for bundle of years, Galhong(葛洪) made a mistake by saying that she took pine needles and a Pinus Koraiensis in 'Pobakja(抱朴子)', while saying that she took pine needles and leaves of Cheukback(측백) tree in 'Joohoobigeupbang(　後備急方). Also He made a mistake by saying that took pine needles and leaves of cheukback(측백) tree in Bonchogangmok(本草綱目). 5. Songback(松栢), which was referred to in the Analects of Confucius(論語) and the historical annals(史記), should be understood as an old pine tree with a hard quality of the lumber and evergreen, .rather than 'a pine tree and a pine-nuts tree' or 'a pine tree and Cheukback(측백) tree'. 6. Although 'Songback(松栢) mentioned in a book on medicine were sometimes considered as 'a pine-nuts tree' and 'Cheukback(측백) tree' or 'a pine tree and .Cheukback(측백) tree,' it should be regarded as an old pine tree in most cases.

• Molecules and Cells
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• v.21 no.2
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• pp.308-313
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• 2006

Amygdalin is a cyanogenic glycoside compound which is commonly found in the pits of many fruits and raw nuts. Although amygdalin itself is not toxic, it can release cyanide (CN) after hydrolysis when the pits and nuts are crushed, moistened and incubated, possibly within the gastrointestinal tract. CN reversibly inhibits cellular oxidizing enzymes and cyanide poisoning generates a range of clinical symptoms. As some pits and nuts may contain unusually high levels of amygdalin such that there is a sufficient amount to induce critical CN poisoning in humans, the detection of abnormal content of amygdalin in those pits and nuts can be a life-saving measure. Although there are various methods to detect amygdalin in food extracts, an enzyme immunoassay has not been developed for this purpose. In this study we immunized New Zealand White rabbits with an amygdalin-KLH (keyhole limpet hemocyanin) conjugate and succeeded in raising anti-sera reactive to amygdalin, proving that amygdalin can behave as a hapten in rabbits. Using this polyclonal antibody, we developed a competition enzyme immunoassay for determination of amygdalin concentration in aqueous solutions. This technique was able to effectively detect abnormally high amygdalin content in various seeds and nuts. In conclusion, we proved that enzyme immunoassay can be used to determine the amount of amygdalin in food extracts, which will allow automated analysis with high throughput.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.307-308
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• 2006

This paper is about the development of automatic inspection system of welded nuts on Support hinge using machine vision for the improvement of working condition. Until now, projection welding process was performed by operator. Also, inspection of welded nuts is performed manually and recorded by the operator's naked eye. So these processes caused the produce of poorly-made articles. To improve this manual operation, inspection system using machine vision is introduced. Test algorithm, lighting system and program showed good results to the designed inspection system and led to the increment of productivity.

• Journal of Advanced Navigation Technology
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• v.25 no.1
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• pp.115-123
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• 2021

Pine nuts are Korea's representative nut forest products and profitable crops. However, pine nuts are harvested by climbing the trees themselves, thus the risk is high. In order to solve this problem, it is necessary to harvest pine nuts using a robot or an unmanned aerial vehicle(UAV). In this paper, we propose a deep learning based detection method for harvesting pine nut in UAV aerial images. For this, a video was recorded in a real pine forest using UAV, and a data augmentation technique was used to supplement a small number of data. As the data for 3D detection, Unity3D was used to model the virtual pine nut and the virtual environment, and the labeling was acquired using the 3D transformation method of the coordinate system. Deep learning algorithms for detection of pine nuts distribution area and 2D and 3D detection of pine nuts objects were used DeepLabV3+, YOLOv4, and CenterNet, respectively. As a result of the experiment, the detection rate of pine nuts distribution area was 82.15%, the 2D detection rate was 86.93%, and the 3D detection rate was 59.45%.

• Journal of Food Hygiene and Safety
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• v.38 no.3
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• pp.184-191
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• 2023

Nuts are essential components of a healthy diet as they provide nutritional value and bioactive components. Melatonin, is a hormone secreted from the pineal gland of the brain that prevents oxidative damage in various tissues, and also found in plants. This study presents a validation method for extracting and quantitatively analyzing melatonin in nuts, seeds, and beans in Gyeonggi-do; the method utilized chromatographic techniques and optimized extraction procedures, considering the high oil content of nuts. The average content of melatonin in nuts, seeds, and beans was 1200.83 (409.76-2223.56), 934.83 (454.10-1736.60), and 616.46 (494.70-825.12) pg/g, respectively. Melatonin content was higher in the kernel with pellicle than that in the kernel alone in walnuts and chestnuts. Furthermore, the presence of melatonin was lower in newly harvested walnuts, chestnuts, and peanuts than in those stored after being harvested the previous year.