• 한국연초학회지
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• 제27권1호
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• pp.134-140
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• 2005

The purpose of this study was the discrimination of different tobacco types by the E-Nose/tongue and the analysis of what human sensory attributes are correlated with e-instrument's sensors. Samples were made from five groups of Korean domestic tobacco leaves, aged burley and not aged, aged flue-cured and not aged and blending types of the four. Instrumental tests were conducted to discriminate characteristics among different tobacco samples by the E-Nose and the E-Tongue. Sensory attributes of tobacco tastes were impact, irritation, bitterness, hay-like, tobacco taste, smoke volume, smoke pungent and mouth cleanness. STATISTICA software was used to analyze correlation between the human sensory data and the raw data of e-instruments. Discrimination analysis can be achieved using principal components analysis (PCA) and discriminant factorial analysis(DFA). As a result, impact, bitterness, irritation, smoke volume and smoke pungent of human sensory attributes were correlated with data from the several clustered E-Nose sensors(p < 0.10). And bitterness, irritation, and smoke pungent of human sensory attributes were correlated with data from the E-Tongue sensors(p < 0.10). PCA plot by the E-Nose shows that aged tobacco and not aged were discriminated and DFA plot shows that three groups(aged burley, not aged burley and flue-cured) were discriminated. PCA plot by the E- Tongue shows that flue-cured tobacco was separated from burley. Our results indicated that the e-instruments are sensitive enough to distinguish among tobacco types and their several sensors are reacted to the human sensory attributes.

• 분석과학
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• 제10권5호
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• pp.362-369
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• 1997

HPLC를 이용하여 생산지와 밀원꽃이 알려진 5종의 꿀 중 당성분을 분석한 다음 화학계량학적 고찰을 수행하였다. 꿀의 주된 당성분은 fructose, glucose였으며, 1종의 꿀에서는 sucrose가 소량 검출되었다. 산지별, 밀원꽃별로 당 함량을 비교하였다. Fructose/glucose 함량비는 0.99~1.55 범위로서 문헌값과 잘 일치하였다. Principal components analysis(PCA) plot은 산지별, 밀원꽃별로 확연히 구분되었다. 주성분점수가 커질수록 당 함량이 증가되었고 fructose/glucose 함량비는 감소되었다. 화학계량학적 접근방법은 꿀시료의 당조성 패턴을 비교하고 품질평가 및 부정화 적발에 유용하였다.

• Weed & Turfgrass Science
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• 제3권4호
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• pp.269-275
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• 2014

마밭에 출현하는 초종과 식생군락을 분석하여 마밭 잡초방제 기초자료로 활용하기 위하여 2014년 5월부터 10월까지 총 7회에 걸쳐 조사를 실시하였다. 마밭에는 총 11과 44종이 출현하였으며, 조사지역 내 출현한 귀화식물은 3과, 10속 10종으로 분류되었는데 주기적인 잡초방제로 인하여 잡초의 생물다양성이 높지는 않았다. Z-M학파의 식물사회학적 식생분류 결과, 큰도꼬마리, 논피, 미국가막사리, 한련초, 속속이풀, 중대가리풀, 쇠비름이 군락으로 분류되었으며, PCA plot 분석결과도 식생분류 결과와 동일하게 유형화되었다. 수량조사 결과, 잡초 방제구 대비 무처리에서 82%의 수량감소가 발생하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1281-1281
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• 2001

Near-infrared (NIR) spectra have bean measured for high-density (HDPE), linear low-density (LLDPE), and low-density (LDPE) polyethylene in pellet or thin films. The obtained spectra have been analyzed by conventional spectroscopic analysis methods and chemometrics. By using the second derivative, principal component analysis (PCA), and two-dimensional (2D) correlation analysis, we could separate many overlapped bands in the NIR. It was found that the intensities of some bands are sensitive to density and crystallinity of PE. This may be the first time that such bands in the NIR region have ever been discussed. Correlations of such marker bands among the NIR spectra have also been investigated. This sort of investigation is very important not only for further understanding of vibration spectra of various of PE but also for quality control of PE by vibrational spectroscopy. Figure 1 (a) and (b) shows a NIR reflectance spectrum of one of the LLDPE samples and that of PE, respectively. Figure 2 shows a PC weight loadings plot of factor 1 for a score plot of PCA for the 16 kinds of LLDPE and PE based upon their 51 NIR spectra in the 1100-1900 nm region. The PC loadings plot separates the bands due to the $CH_3$ groups and those arising form the $CH_2$ groups, allowing one to make band assignments. The 2D correlation analysis is also powerful in band enhancement, and the band assignments based upon PCA are in good agreement with those by the 2D correlation analysis.(Figure omitted). We have made a calibration model, which predicts the density of LLDPE by use of partial least square (PLS) regression. From the loadings plot of regression coefficients for the model , we suggest that the band at 1542, 1728, and 1764 nm very sensitive to the changes in density and crystalinity.

• Journal of the Korean Wood Science and Technology
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• 제46권3호
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• pp.285-296
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• 2018

ISPM No. 15에 의거한 열처리 목재의 검증을 위한 연구로서 열처리 목재 표면의 분광학적 특성을 분석하였다. IR 스펙트럼 상에서는 다양한 작용기들이 확인되지만 수종간, 열처리 시간 및 보관 기간에 따른 특별한 차이를 발견하기 어려웠다. HBI(hydrogen-bonding intensity)는 보관 기간에 따른 열처리 목재의 변화는 관찰할 수 있지만 열처리 시간에 따른 변화는 관찰하기 어려웠다. 하지만 PCA score plot 상에서 수종 내에서 60분 혹은 90분의 열처리 시간에 따라 목재의 분류가 가능하였다. PCA에서 열처리 목재의 분류의 기준은 목재 내 리그닌의 방향족 환과 셀룰로오스의 C-H bending이었으며 이들 성분에 의해 ISPM No. 15로 열처리된 목재를 분류할 수 있었다.

• Weed & Turfgrass Science
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• 제4권4호
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• pp.279-287
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• 2015

천궁밭에 발생하는 잡초와 군락의 유형을 분석하여 천궁밭 잡초방제을 위한 기초자료로 활용하기 위하여 2014년 5월부터 10월까지 총 6회에 걸쳐 잡초조사를 실시하였다. 천궁밭에는 총 35과 99종이 출현하였고, 일년생잡초는 55종, 다년생잡초는 44종으로 분류되었다. 식물사회학적 군락분석에 의한 결과, 닭의장풀, 털별꽃아재비, 봄여뀌, 올방개, 명아주-깨풀이 우점하여 군락의 형태를 보였다. 또한 PCA plot 분석결과 식물사회학적 군락분석과 유사하게 올방개, 명아주-깨풀, 봄여뀌, 닭의장풀, 털별꽃아재비가 군락으로 유형화되었으며, 잡초무방제구의 천궁 생산이 전혀 없을 정도로 잡초에 대한 천궁의 피해가 심각하였다. 천궁은 8월 이전 지상부 생육이 왕성해지기 전까지 집중적인 잡초관리가 이루어져야 하며, 흑색멀칭을 하지 않는 헛골에 발생되는 잡초에 대한 초기방제 체계를 마련해야 할 것으로 판단된다.

• 유통과학연구
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• 제13권9호
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• pp.103-112
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• 2015

Purpose - This paper aims to provide a step-by-step approach to factor analytic procedures, such as principal component analysis (PCA) and exploratory factor analysis (EFA), and to offer a guideline for factor analysis. Authors have argued that the results of PCA and EFA are substantially similar. Additionally, they assert that PCA is a more appropriate technique for factor analysis because PCA produces easily interpreted results that are likely to be the basis of better decisions. For these reasons, many researchers have used PCA as a technique instead of EFA. However, these techniques are clearly different. PCA should be used for data reduction. On the other hand, EFA has been tailored to identify any underlying factor structure, a set of measured variables that cause the manifest variables to covary. Thus, it is needed for a guideline and for procedures to use in factor analysis. To date, however, these two techniques have been indiscriminately misused. Research design, data, and methodology - This research conducted a literature review. For this, we summarized the meaningful and consistent arguments and drew up guidelines and suggested procedures for rigorous EFA. Results - PCA can be used instead of common factor analysis when all measured variables have high communality. However, common factor analysis is recommended for EFA. First, researchers should evaluate the sample size and check for sampling adequacy before conducting factor analysis. If these conditions are not satisfied, then the next steps cannot be followed. Sample size must be at least 100 with communality above 0.5 and a minimum subject to item ratio of at least 5:1, with a minimum of five items in EFA. Next, Bartlett's sphericity test and the Kaiser-Mayer-Olkin (KMO) measure should be assessed for sampling adequacy. The chi-square value for Bartlett's test should be significant. In addition, a KMO of more than 0.8 is recommended. The next step is to conduct a factor analysis. The analysis is composed of three stages. The first stage determines a rotation technique. Generally, ML or PAF will suggest to researchers the best results. Selection of one of the two techniques heavily hinges on data normality. ML requires normally distributed data; on the other hand, PAF does not. The second step is associated with determining the number of factors to retain in the EFA. The best way to determine the number of factors to retain is to apply three methods including eigenvalues greater than 1.0, the scree plot test, and the variance extracted. The last step is to select one of two rotation methods: orthogonal or oblique. If the research suggests some variables that are correlated to each other, then the oblique method should be selected for factor rotation because the method assumes all factors are correlated in the research. If not, the orthogonal method is possible for factor rotation. Conclusions - Recommendations are offered for the best factor analytic practice for empirical research.

• 한국축산식품학회지
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• 제24권3호
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• pp.260-265
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• 2004

본 연구는 전자 코 시스템을 이용하여 센서의 감응도, 주성분 분석, 판별분석을 통해 한우육의 향기 패턴을 구명하고, 이를 pH 및 TBARS 값과 비교함으로써 쇠고기의 신속한 향기 평가방법의 가능성을 모색하기 위해 실시하였다. 시료는 도축 후 24시간이 경과한 쇠고기의 등심을 5$\pm$1$^{\circ}C$에서 7일간 저장하면서 실험에 사용하였다. 저장기간이 증가함에 따라 SY/G, SY/AA, SY/Gh, SY/gCTl, SY/gCT 센서의 감응도(dR/R0) 값은 감소하였으나, SY/LG, T30/1, P10/1, P10/2, P40/1, T70/2, PA2 센서의 dR/R0 값은 증가하였다. 저장 1일과 3일째에서는 dR/R0 값이 SY/AA#, T70/2 센서에서만 유의적인 차이를 보였으나(p<0.05), 저장 7일째에서 저장1일과 비교하였을 때 12개의 센서가 모두 유의적인 차이를 보였다(p<0.05). 감응도의 결과를 주성분 분석으로 mapping 하였을 때 저장 1일에 오른쪽 중간, 3일에 오른쪽 하단, 7일에 왼쪽에 길게 퍼져 군락이 형성되었다. 다시 판별분석으로 mapping을 하면 동일 저장기간내 군락이 집중되고, 저장기간별 군락군이 분산되어 뚜렷하게 구별되었다. 저장기간동안 육의 pH와 TBARS는 모두 어떤 항목과도 상관성을 보이지 않았으나, 모든 센서의 값이 각각 정 또는 역의 높은상관성을 가지고 있었다(p<0.001).

• Biomolecules & Therapeutics
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• 제17권2호
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• pp.133-137
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• 2009

The root of Astragalus membranaceus is a traditional folk medicine that has been used for many therapeutic purposes in Asia. It reportedly acts as an immunostimulant, tonic, hepatoprotective, diuretic, antidiabetic, analgesic, expectorant, sedative, and anticancer drug. In this study, metabolomic profiling was applied to the roots of A. membranaceus of different ages using NMR coupled with two multivariate statistical analysis methods: such as principal components analysis (PCA) and canonical discriminant analysis (CDA). This allowed various metabolites to be assigned in NMR spectra, including $\gamma$-aminobutyric acid (GABA), aspartic acid, succinic acid, glutamic acid, glutamine, N-acetyl aspartic acid, acetic acid, arginine, alanine, threonine, lactic acid, and valine. The score plot from PCA and also CDA allowed a clear separation between samples according to age.

• Horticulture, Environment, and Biotechnology : HEB
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• 제59권6호
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• pp.919-927
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• 2018

To compare the antioxidant properties and flavonols in various parts; dry skin (DS) and edible portion (EP), of 8 red onions (Allium cepa L, ROs), total content of phenolics (TPC), flavonoids (TFC), and anthocyanins (TAC) and DPPH radical scavenging properties were estimated and the content of six flavonols were quantified by HPLC-PDA analysis. The major component of DS and EP of RO was quercetin and quercetin-4'-glucoside, respectively. Score plots of the PCA and PLS-DA were segregated by flavonols content and antioxidant properties according to the EP and DS of ROs. Loading plot of the PCA showed that the quercetin and sum of flavonol content were highly correlated with antioxidant activity of ROs. Therefore, flavonol content and antioxidant activity can be used as markers for distinct parts of ROs.