• Applied Biological Chemistry
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• v.41 no.3
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• pp.240-246
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• 1998

Geographical origin of the Korean, Chinese and Japanese sesame seeds were identified very high accuracy by NIR spectroscopy. The NIR instrument of filter type showed the same accuracy of the monochromator scanning type to identify the geographical origin of the sesame seeds. In case of adulteration between the Korean and Chinese sesame seeds, the ratio of addition could be determined about 10% error level. The reason of identification of geographical origin by NIR spectroscopy, it was supposed to the difference, of oil cake substance.

• Korean Journal of Food Science and Technology
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• v.40 no.2
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• pp.135-140
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• 2008

In this study, the macromineral content ratios of four herbal medicine samples(Saposhnikoviae Radix, Bupleuri Radix, Cnidii Rhizoma, and Astragali Radix) were analyzed to discriminate their geographical origins using an energydispersive x-ray fluorescence (EDXRF) technique. EDXRF is a rapid, non-destructive, and multi-elemental analysis technique. Initially, samples of both domestic and imported herbal medicines were pulverized, and then their macromineral contents, including P, S, K, and Ca, were analyzed using EDXRF. For the discrimination of their geographical origins, canonical discriminant analysis was carried out based on the estimated macromineral relative content ratios of the samples. According to the results, the discrimination accuracies were as follows: 93.3% for Saposhnikoviae Radix, 95.7% for Bupleuri Radix, 98.8% for Cnidii Rhizoma, and 87.5% for Astragali Radix. Overall, the results imply that this technique could be used as a standard method, to discriminate their geographical origins between domestic and imported herbal medicines.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.147-147
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• 2017

우리나라에서는 수입 개방화 추세에 따라 공정한 유통질서 확립하고 국내 생산자와 소비자를 보호하기 위하여 원산지 표시제가 시행되고 있다. 그러나 수입 농산물과 국산 농산물의 큰 가격차이로 인하여 원산지를 허위 표시하는 경우가 증가하고 있다. 특히 쌀 관세화 전환 의무에 따른 수입산 쌀 증가하고 있으며 단립종과 중립종 수입산 쌀은 국내산 쌀과 외관이 유사하여 육안식별이 어려워 국내산 쌀로 둔갑할 우려가 있다. 이에 신속하고 비파괴적으로 쌀의 원산지를 판별할 수 있는 기술 개발이 요구되고 있다. 따라서 본 연구에서는 국내산 쌀과 중국산 쌀의 원산지를 신속하게 판별가능한 영상 처리기술을 개발하였다. 쌀은 국내에서 생산된 중립종 50점과 중국에서 생산된 단립종 및 중립종 51점이 수집되어 사용되었다. 쌀의 분광 영상은 초분광 가시광 및 근적외선 영상 시스템을 이용하여 측정하였다. 이 시스템은 할로겐-텅스텐 라인광, 시료 이송부, 초분광 영상 획득부로 구성되어 있다. 텅스텐-할로겐 라인광은 $15^{\circ}$ 각도로 대칭으로 시료에 조사되고 400 ~ 1000 nm 파장 영역의 반사광 영상 스펙트럼이 측정되었다. 초분광 영상 데이터는 광에 노출되지 않은 암실에서의 파장별 영상과 반사율이 99% 이상인 기준판의 파장별 영상을 이용하여 교정되었다. 부분최소제곱회귀법을 이용하여 쌀 원산지 판별모델 식을 개발하였고, 이 판별 모델식을 교정된 초분광 영상에 적용하여 영상처리 판별 모델을 개발하였다. 그 결과, 원산지 판별정확도가 97.4% 이상으로 나타났으며, 국내산과 중국산 쌀의 원산지 판별이 가능하였다.

• Korean Journal of Food Science and Technology
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• v.34 no.6
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• pp.1062-1066
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• 2002

Low field NMR was employed to discriminate the geographical origin of sesame seeds from Sudan, China, and Korea. Sudan sesame seeds had the lowest contents of moisture and crude fat. Chemical components of Korean and Chinese sesame seeds were similar, whereas relaxation times $(T_1-IR,\;T_1-SR)$ measeured through spin-lattice relaxation pluse techniques using 20 MHz NMR showed significant difference (p0.05). Canonical discriminant analysis could be used to identify the habitat of sesame seeds with over 90% accuracy of NMR results. Non-destructive and fast NMR techniques can be applied to classify Korean sesame seeds from those of other origins.

• Korean Journal of Food Science and Technology
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• v.35 no.4
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• pp.653-659
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• 2003

A 20 MHz pulsed NMR systems was employed to discriminate the geographical origin of soybeans and black beans (yak-kong) from Korea and foreign countries. Crude fat contents measured by soxhlet method were significantly (p<0.05) different between domestic and imported soybeans. Moisture and crude protein contents, measured by AOAC, were significantly different between domestic and imported black beans. In soybeans, values by solid fat content method and Carr-Purcell-Meiboom-Gill (CPMG) method using 20 MHz pulsed NMR showed the significant difference among soybeans from various the geographical origins. In black beans (yak-kong), NMR values measured by NMR except $T_1$ SR pulse sequence revealed the significant difference by the geographical origins. The habitat of soybeans and black beans could be identified by canonical discriminant analysis of chemical composition with $70{\sim}91.7\;%$ accuracy. Low field NMR data followed by discriminant analysis, however, granted the 100% of accuracy for classification of soybeans.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.355-360
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• 2022

As the increase cost of domestic red pepper and the increase of imported red pepper, damage cases such as false labeling of the origin of red pepper powder are issued. Accordingly we need to determine quickly and accurately for the origin of red pepper powder. The used method for presently determining the origin has the limitation in that it requires a lot of cost and time by experimentally comparing and analyzing the components of red pepper powder. To resolve the issues, this study proposes machine learning algorithm to classifiy domestic and imported red pepper powder. We have built machine learning model with 53 components contained in red pepper powder and validated. Through the proposed model, it was possible to identify which ingredients are importantly used in determining the origin. In the near future, it is expected that the cost of determining the origin can be further reduced by expanding to various foods as well as red pepper powder.

• Journal of the Korean Applied Science and Technology
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• v.37 no.1
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• pp.38-48
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• 2020

The aroma pattern was analyzed using electronic nose to examine the possibility of origin discrimination according to the mixing ratio of Chinese and Korean red ginseng concentrates. The origin of Chinese red ginseng concentrate and Korea red ginseng concentrate could be distinguished and the pattern of aroma component detected decreased as the mixing ratio of Chinese red ginseng concentrate increased. Cultivar and habitat of Korean red ginseng concentrated was remarkably distinguished by the chromatogram of frequency pattern, derivative pattern and visual pattern using olfactory images known as vapor print^TM.

• Analytical Science and Technology
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• v.34 no.3
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• pp.134-141
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• 2021

In this study, the fatty acid (FA) composition of commercial sesame oils (n = 62) was investigated using gas chromatography with flame ionization detector (GC-FID). Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA), were applied to the chromatographic data of the FAs to discriminate the geographical origin of sesame oils. A statistically significant difference was observed in the content of C16:0, C18:0, C18:1, and C18:2 between domestic and imported sesame oils. A satisfactory recovery rate of 82.8-100.2 % was achieved for C16:0, C18:0, C18:1, C18:2, and C18:3. The correlation of C16:0, C18:1, and C18:2 in domestic sesame oils showed opposite trends compared to imported oils. The PCA plot demonstrated that sesame oils were clustered in distinct groups according to their origin. LDA was used to predict sesame oil samples in one of the two groups. C16:0 (Wilks λ = 0.361) and C18:1 (Wilks λ = 0.637) demonstrated the highest discriminant power for classifying the origin of the samples. The correct prediction rates were 88.9 % and 100 % for the domestic and imported samples, respectively. Further, 60 of the 62 sesame oil samples (96.8 %) were correctly classified, indicating that this approach can be used as a valuable tool to predict and classify the geographical origin of sesame oils.

• Analytical Science and Technology
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• v.29 no.1
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• pp.1-9
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• 2016

It is believed that traditional Korean medicines can be managed more scientifically through the development of logical criteria to verify their region of cultivation, and that this could contribute to the advancement of the traditional herbal medicine industry. This study attempted to determine such criteria for Sansuyu. The volatile compounds were obtained from 20 samples of domestic Corni fructus (Sansuyu) and 45 samples of Chinese Sansuyu by steam distillation. The metabolites were identified in the NIST Mass Spectral Library via the obtained gas chromatography/mass spectrometer (GC/MS) data of 53 training samples. Data binning at 0.2 min intervals was performed to normalize the number of variables used in the statistical analysis. Multivariate statistical analyses, such as principle component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were performed using the SIMCA-P software package. Significant variables with a variable importance in the projection (VIP) score higher than 1.0 were obtained from OPLS-DA, and variables that resulted in a p-value of less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Finally, among the 11 variables extracted, 1-ethylbutyl-hydroperoxide (9.089 min), nonadecane (20.170 min), butylated hydroxytoluene (25.319 min), 5β,7βH,10α-eudesm-11-en-1α-ol (25.921 min), 7,9-bis(2-methyl-2-propanyl)-1-oxaspiro[4.5]deca-6,9-diene-2,8-dione (34.257 min), and 2-decyldodecyl-benzene (54.717 min) were selected as markers to indicate the origin of Sansuyu. The statistical model developed was suitable for the determination of the geographical origin of Sansuyu. The cultivation areas of four Korean and eight Chinese Sansuyu samples were predicted via the established OPLS-DA model, and it was confirmed that 11 of the 12 samples were accurately classified.

• Journal of Applied Biological Chemistry
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• v.59 no.4
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• pp.323-330
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• 2016

Pinellia ternata Breitenbach, the natural medicinal plant of the Araceae family, is a perennial plant originated from the East Asia, but also widely distributed in Europe and North America. Its tuber is used as traditional medicine for treatment of various diseases such as vomiting, inflammation, and traumatic injury. Pharmacological studies revealed that P. ternata possesses anticonvulsant, anti-tumor, insecticidal, and cytotoxic activities. Despite being well-known as the useful medicinal plant, there is no reliable, standardized method for origin discrimination. Ultra performance liquid chromatography-photodiode array detector and quadrupole time of flight-mass spectrometry based metabolite-profiling was applied to explore significant metabolite for origin discrimination between Korean and Chinese P. ternata. One compound was isolated from Korean P. ternata using repeated ODS column chromatography by bioactivity guided fractionation, and determined as [6]-gingerol according to the results of spectroscopic data including nuclear magnetic resonance and MS. This compound was selected as cosmeceutical biomarker by fingerprints, and it was associated to melanin inhibitory effect determining its origin authenticity. Furthermore, the calibration curve of biomarker was prepared using validated method for the comparison of content between Korean and Chinese P. ternata. This is the report to address the selection and successful validation of the discriminant metabolite for confirmation of Korean P. ternata.