• Journal of Plant Biotechnology
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• 제33권4호
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• pp.277-281
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• 2006

Fourier transform - infrared spectroscopy (FT-IR) provides biochemical profiles containing overlapping signals from a majority of the compounds that are present when whole cell extracts are analyzed. We attempted to determine the ripeness of strawberry fruit flesh by FT-IR. Fruit ripeness was divided into four developmental stages based on fruit skin color: 'yellow-green', 'pink-green', 'pink', and 'red' stages. Principal component analysis of FT-IR data of inside fruit flesh extracts clustered samples of four different developmental stages into three discrete groups: (1) 'yellow-green' group, (2) 'pink-green' group, and (3) 'pink' and 'red' group. The most remarkable difference between four different developmental stages was found in the carbohydrate fingerprint region $(1,000-1,100cm^{-1})$ of the FT-IR spectrum, indicating that differences in carbohydrate compounds represented the ripeness of strawberry fruit. Overall results indicate that FT-IR in combination with PCA enables discrimination of the ripeness of strawberry fruit flesh.

• 한국광학회지
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• 제19권6호
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• pp.400-407
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• 2008

퓨리에 변환 적외선 분광기(FT-IR)를 이용한 물질의 적외선 분광 복사율 측정 장치를 구축하고 이 장치의 성능을 평가하였다. 본 장치는 기준 흑체, 시료 가열로, 광학계, FT-IR로 구성되어 있으며, 측정 온도 및 파장 영역은 $200^{\circ}C{\sim}500^{\circ}C$와 $3.5{\mu}m{\sim}20{\mu}m$ 이다. 기준 흑체의 유효 복사율은 0.9993 이상으로 거의 1에 가까운 값을 나타내고 있었으며, 흑체의 분광 복사율에 대한 합성 상대 불확도는 0.69% 이하이다. $300^{\circ}C$에서 불투명한 알루미나, 흑연, 양극 처리된 알루미늄 시료의 수직 분광 복사율과, 금속(IMS200)의 표면 거칠기에 따른 복사율을 측정하였다. 금속(IMS200)의 표면 거칠기에 따른 복사율 변화는 거칠기가 증가할수록 증가하였다.

• Journal of Plant Biotechnology
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• 제34권3호
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• pp.201-205
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• 2007

To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts of higher plants is applied to discriminate plants genetically, leaf samples of eight cultivars of Catharanthus roseus were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR fingerprint region data were analyzed by principal component analysis (PCA). Major peaks as biomarkers were identified as the most significant contributors to distinguish samples by using genetic programming. A hierarchical dendrogram based on the results from PCA separated the eight cultivars into two major groups in the same manner as the dendrograms based on genetic fingerprinting methods such as RAPD and AFLP. A slight difference between the dendrograms was found only in branching pattern within each subgroup. Therefore, we conclude that the hierarchical dendrogram based on PCA of the FT-IR data represents the most probable chemotaxonomical relationship between cultivars, which is in general agreement with the genetic relationship determined by conventional DNA fingerprinting methods.

• 한국세라믹학회지
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• 제41권5호
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• pp.417-424
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• 2004

메톡시폴리에틸렌글리콜모노메타크릴레이트(MPEGMAA)와 메타크릴산(MAA)을 공중합시킨 폴리카복실레이트계 고유동화제(PCA)의 그라프트 사슬인 폴리에틸렌옥사이드(PEO)의 길이가 다를 경우, 보통포틀랜드시멘트(OPC)의 수화 반응에 미치는 영향을 Fourier Transform Infrared Spectroscopy(FT-IR), X-Ray Diffraction(XRD)과 Differential Scanning Calorimetry (DSC)를 이용하여 조사하였다. PCA의 그라프트 사슬의 길이에 따라 초기 재령에서 수화 반응에 미치는 영향은 달라지나, 장기 재령에서는 큰 차이가 없었다. 또한 PCA가 첨가된 경우의 Ca(OH)$_2$의 상대 피크 강도의 비(I[001］/I［101］)는 OPC에 비해 감소하였다.

• Journal of Plant Biotechnology
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• 제43권3호
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• pp.383-390
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• 2016

본 연구에서는 국내에서 재배중인 배추 전세포 추출물의 FT-IR 스펙트럼 데이터로부터 다변량 통계분석(PCA, PLS-DA, HCA)을 이용하여 신속하고 간편한 계통 구분체계를 확립하였다. 다변량 통계분석 결과 대사체 수준에서 배추의 부계, 모계, $F_1$ 계통들이 계통에 따라 유연관계가 높음을 알 수 있었다. 아울러 본 연구에서 얻어진 대사체 정보의 유연관계분석은 $F_1$ 계통의 부계와 모계에 대한 유연관계가 교배에 따라 달라질 수 있음을 보여주었다. 따라서 FT-IR 스펙트럼 데이터의 다변량 통계분석 기술은 대사체 정보를 기반으로 한 신품종 선발방법의 간편성과 신속성을 고려할 때 배추의 계통이나 품종의 신속한 식별 수단으로 활용이 가능할 것으로 기대된다.

• 한국염색가공학회지
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• 제15권4호
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• pp.17-23
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• 2003

Fourier transform infrared spectroscopy(FT-IR) was used to characterize the intermolecular ester crosslinkages in cotton cellulose. The FT-IR data show that the band of the ester carbonyl group can be separated from overlapping carboxyl/carbonyl band by converting carboxyl group to carboxylate. When esterification occurs between a polycarboxylic acid and cotton cellulose, the carbonyl groups retained in the cotton exist in three forms; ester, carboxyl, and carboxylate anion. The FT-IR data were also correlated to the durable press rating result obtained. The appearance of BTCA-finished durable press silk/cotton fabrics were improved.

• 폴리머
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• 제31권5호
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• pp.393-398
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• 2007

편광 푸리에 변환 적외선 분광법(polarized fourier transform infrared spectroscopy)과 자외선 분광법(ultraviolet spectroscopy)을 이용하여 액정 디스플레이 (liquid crystal display, LCD)의 배향막으로 사용 가능한 Polyvulylfluoroclnnamate(PVCN-F) 필름의 편광 자외선(Polarized UV, PUV) 조사 및 러빙에 따른 액정의 배향 메커니즘에 관한 연구를 수행하였다. UV의 조사시간이 증가함에 따라 PVCN-F cinnamoyl group의 C=C기들의 cycloaddition 반응으로 인하여 $1638cm^{-1}$에서 나타나는 vinylene -C=C- FT-IR 흡수 피크들의 면적이 감소하고, $1712cm^{-1}$에서 나타나는 conjugated C=O 신축진동에 의한 피크가 nonconjugated C=O 신축진동 피크인 $1734cm^{-1}$로 이동함을 확인하였다. 또한 PUV가 조사된 PVCN-F 배향막을 사용하여 제조된 액정 셀에서는 조사된 PUV의 극성 방향과 수직으로 액정이 배향함을 확인하였고, 러빙 방법으로 제조된 PVCN-F 배향막을 사용한 액정 셀에서는 액정이 러빙 방향과 수평으로 배향됨을 dichroic dye(이색성 염료)의 첨가 없이 편광 FT-IR 스팩트럼을 사용하여 확인하였다.

• 농업과학연구
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• 제50권4호
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• pp.675-696
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• 2023

Terpenoids, also referred to as terpenes, are a large family of naturally occurring chemical compounds present in the essential oils extracted from medicinal plants. In this study, a nondestructive methodology was created by combining ATR-FT-IR (attenuated total reflectance-Fourier transform infrared), and Raman spectroscopy for the terpenoids assessment in medicinal plants essential oils from ten different geographical locations. Partial least squares regression (PLSR) and support vector regression (SVR) were used as machine learning methodologies. However, a deep learning based model called as one-dimensional convolutional neural network (1D CNN) were also developed for models comparison. With a correlation coefficient (R²) of 0.999 and a lowest RMSEP (root mean squared error of prediction) of 0.006% for the prediction datasets, the SVR model created for FT-IR spectral data outperformed both the PLSR and 1 D CNN models. On the other hand, for the classification of essential oils derived from plants collected from various geographical regions, the created SVM (support vector machine) classification model for Raman spectroscopic data obtained an overall classification accuracy of 0.997% which was superior than the FT-IR (0.986%) data. Based on the results we propose that FT-IR spectroscopy, when coupled with the SVR model, has a significant potential for the non-destructive identification of terpenoids in essential oils compared with destructive chemical analysis methods.

• Journal of Ginseng Research
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• 제38권1호
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• pp.52-58
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• 2014

To determine whether Fourier transform (FT)-IR spectral analysis combined with multivariate analysis of whole-cell extracts from ginseng leaves can be applied as a high-throughput discrimination system of cultivation ages and cultivars, a total of total 480 leaf samples belonging to 12 categories corresponding to four different cultivars (Yunpung, Kumpung, Chunpung, and an open-pollinated variety) and three different cultivation ages (1 yr, 2 yr, and 3 yr) were subjected to FT-IR. The spectral data were analyzed by principal component analysis and partial least squares-discriminant analysis. A dendrogram based on hierarchical clustering analysis of the FT-IR spectral data on ginseng leaves showed that leaf samples were initially segregated into three groups in a cultivation age-dependent manner. Then, within the same cultivation age group, leaf samples were clustered into four subgroups in a cultivar-dependent manner. The overall prediction accuracy for discrimination of cultivars and cultivation ages was 94.8% in a cross-validation test. These results clearly show that the FT-IR spectra combined with multivariate analysis from ginseng leaves can be applied as an alternative tool for discriminating of ginseng cultivars and cultivation ages. Therefore, we suggest that this result could be used as a rapid and reliable F1 hybrid seed-screening tool for accelerating the conventional breeding of ginseng.

• 한국재료학회:학술대회논문집
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• 한국재료학회 2007년도 추계학술발표대회 및
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• pp.23.1-23.1
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• 2007