• Journal of the Korea Organic Resources Recycling Association
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• v.23 no.3
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• pp.85-92
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• 2015

For concerning the climate change issues, the carbon sequestration and importance of soil organic matter are receiving high attention. To evaluate carbon sequestration in soil is important to determine the soil organic carbon (SOC) fractions such as WESOC (Water extractable soil organic carbon), and $CO_2$ emission by soil microbial respiration. However, the analyses for those contents are time-consuming procedure. There were studied the feasibility of MIRS (Mid-Infrared Spectroscopy), which has short analysis time for determining the WESOC and an incubated carbon in this study. Oven-dried soils at $100^{\circ}C$ and $350^{\circ}C$ were scanned with MIRS and compared with the chemically analyzed WESOC and cumulative carbon dioxide generated during 30, 60, 90, and 120 days of incubation periods, respectively. It was observed that an optimized determination coefficient was 0.6937 between WESOC and untreated soil processed by spectrum vector normalization (SNV) and 0.8933 between cumulative $CO_2$ from 30 days incubation and soil dried at $350^{\circ}C$ after subtracting air-dried soil processed by 1st derivatives. Therefore, it was shown that Quantification of soil organic carbon fractions was possibility to be analyzed by using MIRS.

• Analytical Science and Technology
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• v.25 no.4
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• pp.214-222
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• 2012

ASTM (American Society for Testing and Materials) D6751-10 suggests analytical methods as well as specifications for biodiesel quality. However, it is expensive and time-consuming to follow the ASTM testing methods to analyze biodiesel and various impurities. This paper develops a quantitative analysis system for biodiesel and impurities based on Infrared spectroscopy and a multivariate statistical method, PLS (partial least squares). In addition, four different pre-processing techniques were compared for spectrum correction and noise reduction. Savitzky-Golay pre-processing showed the best performance.

• Applied Chemistry for Engineering
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• v.23 no.1
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• pp.35-41
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• 2012

This paper proposes a new methodology for the real-time on-line quality monitoring of biofuel processes through the integration of infrared spectroscopy and chemometrics. A method of Partial Least Squares (PLS) in Chemometrics is employed for quantitative analysis of key components in bioethanol products. After a number of preprocessing methods and variable importance in projection (VIP) are used, Savitzky-Golay method showed the best performance in terms of spectrum correction, noise reduction, and model maintenance. The proposed method allows us to economically forecast the concentration of multiple impurities encountered with the production of bioethanol. The proposed system is also accurate enough ($R^2$ > 0.99) to replace the laboratory analysis.

• Analytical Science and Technology
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• v.10 no.2
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• pp.139-145
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• 1997

Alkylbenzenes used as synthetic lubricant base oils have been analyzed to find the quantity of mono- and di-substituted alkyl aromatic hydrocarbon compositions and the number of carbon atoms in alkyl chains by $^{13}C$-NMR, near-infrared, and UV-Vis spectroscopy. Also, linear long chain alkylated benzene in the engine lubricants was analyzed quantitatively by infrared spectroscopy.

• Analytical Science and Technology
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• v.12 no.5
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• pp.375-381
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• 1999

Near infrared spectrophotometry(NIR) was developed as a non-invasive determination of blood alcohol. The first pure alcohol/water samples were prepared with ethanol concentration from 0.01 to 0.1%(w/w). Analysis of the second-derivative data was accomplished with multilinear regression(MLR). The standard error of calibration(SEC) of ethanol in ethanol/water solutions was approximately 0.0039%. The calibration models were established from the blood alcohol spectra by MLR and PLSR analysis. The best calibration was built with the second-derivative spectra of 2266 and 2326 nm by MLR. Second-derivative spectra in the spectral ranges of 1100~1340, 1500~1796 and 2064~2300 nm with four PLSR factors provided the standard error of prediction(SEP) of 0.030%(w/w). These results indicate that NIR may be applied for a fast non-invasive determination of alcohol in the blood.

• Journal of the Korean Chemical Society
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• v.44 no.5
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• pp.410-414
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• 2000

The feasibility of near infrared spectroscopy (NIRS) for the evaluation of the compost pro-duced by composting swine excreta has been investigated. The analytes determined were total nitrogen, total phosphorus, organic matter,total carbon,moisture, Cu, $K_2O$ and $Na_2O$. The ranges of concentration of the cal-ibration samples obtained by the conventional chemical method for each component were 1.30-2.75%, 1.45-4.86%, 7.36-81.5%, 23.0-41.1%, 4.2 the coefficient of variation was 4.38, 5.5, 3.2, 1.5, 10.9, 10.6 and 11.9% for total nitrogen, total phosphorus, organic matter, total carbon, moisture, Cu, $K_2O$ and $Na_2O$,respectively. The overall results showed that NlRS can be used for a non-destructive and rapid determination of the analytes to evaluate the quality of compost samples.

• Korean Journal of Food Science and Technology
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• v.13 no.3
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• pp.209-218
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• 1981

Free fatty acid and total saponin, which were extracted from the spent media and colony of the strain Phizopus delemar Rh-1, were qualitatively examined by GLC and spectroscopic methods and compared with these of intact ginseng media. The 18, 18, and 14 free fatty acids were respectively identified from the control, spent media and colony. Among them, $iC_{12:0},\;C_{16:2},\;C_{17:0},\;C_{18:3}\; and\;C_{20:0}$ acids were not detectable from the colony. In add ition, $C_{16:2}\;and\;C_{20:0}$ peaks were rot found in the spent media and control, respectively. The isible absorption spectra of free fatty acids and total saponins in the control, spent media and colony were invariable. In contrast, however, the infrared and ultraviolet absorption spectra showed significant spectral variations, particularly in the it finger-print region, demonstrating that the ginseng components were considerably utilized by the strain Rhizopus delemar Rh-1.

• Korean Journal of Food Science and Technology
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• v.28 no.1
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• pp.40-43
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• 1996

Our objective was to evaluate the potential of near-infrared reflectance spectroscopy to determine the salt content of mayonnaise. The calibration equation for salt developed using partial least square regression was compared with conventional method. 100 samples for calibration set and 40 samples for validation set were used. The multiple correlation coefficient was 0.946 and standard error of prediction was 0.017, when calibration equation was applied to validation set. Near-infrared reflectance spectroscopy method for determining salt content of mayonnaise appears quite satisfactory to evaluate nondestructively.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.376-376
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• 2023

전 세계적으로 중요한 담수 자원인 지하수의 미세플라스틱 오염에 대한 우려가 커지고 있다. 지하수 환경에서 미세플라스틱의 오염을 예측하고 평가하기 위해 대수층 내 현장 실태조사가 수행 중에 있으며, 실험실 규모의 컬럼 실험을 통해 지하수에서 미세플라스틱 이동 메커니즘을 조사하는 연구들이 수행되고 있다. 이러한 연구들은 많은 개수의 분석 시료를 동반하며, 환경 중 미세플라스틱 정량분석을 위해서 고가의 분석기기(라만분광기, 푸리에 변환 적외선(FTIR) 분광기, 열분해 가스크로마토그래피 질량분석기)를 사용하여 플라스틱의 종류를 판별하고 개수를 측정하고 있다. 또한, 컬럼 실험을 수행한 대부분의 선행 연구에서는 미세플라스틱 정량분석을 위해 탁도 분석, 분광광도계를 이용한 흡광도 분석, 현미경을 이용한 계수 방법 등을 이용하여 고가의 분석기기를 사용하지 않고 연구를 수행하였다. 하지만, 이러한 방법들은 유체 속 다른 물질이 포함되어있을 경우에 민감하고 농도를 비율 혹은 개수로 표현하기 때문에 질량 측면에서 미세플라스틱의 농도를 과소·과대 평가할 수 있다. 특히, 현미경을 이용한 계수 방법의 경우에는 분석에 많은 시간이 소요된다는 단점이 있다. 위에 언급한 다양한 분석법들의 단점들을 보완하기 위하여, 본 연구에서는 대수층 내 미세플라스틱 이동 특성을 규명하기 위한 실내 실험에 사용될 수 있는 형광이미지 기반의 미세플라스틱 정량분석법을 개발하였다. Nile Red 형광염료를 이용하여 미세플라스틱을 염색하고 사진을 촬영하여 미세플라스틱 시료의 질량과 미세플라스틱 형광이미지의 형광강도 간 상관관계를 분석하였다. 또한, Nile Red로 염색된 미세플라스틱 입자의 수중 노출 테스트를 진행하여, 실내 대수층 모의실험 시 미세플라스틱 질량을 정량화할 수 있는 적용 가능성을 평가하였다. 상관 분석 결과, 미세플라스틱 질량과 이미지의 형광강도는 높은 상관관계를 보였으며, 수중 노출 실험 전과 후의 미세플라스틱 입자의 형광강도 차이는 미미한 것으로 나타났다. 이러한 연구결과를 통해 본 연구에서 개발된 미세플라스틱 정량분석 방법이 포화 다공성 매체로 구성된 컬럼실험 시 유출수의 미세플라스틱 질량 추정에 유용하게 사용될 것으로 생각되며, 대수층 내 미세플라스틱의 이동 특성 규명 연구에 많은 도움이 될 것으로 기대된다.

• Journal of The Korean Society of Grassland and Forage Science
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• v.39 no.4
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• pp.292-297
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• 2019

In this study, whole crop rice samples were used to develop near-infrared reflectance (NIR) equations to estimate six forage quality parameters: Moisture, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), Ash and relative feed value (RFV). A population of 564 whole crop rice representing a wide range in chemical parameters was used in this study. Undried finely chopped whole crop rice samples were scanned at 1 nm intervals over the wavelength range 680-2500 nm and the optical data recorded as log 1/Reflectance (log 1/R). NIRS calibrations were developed by means of partial least-squares (PLS) regression. The correlation coefficients of cross-validation (R²_cv) and standard error of cross-validation (SECV) for whole crop rice calibration were 0.98 (SECV 1.81%) for moisture, 0.89 (SECV 0.50%) for CP, 0.86 (SECV 1.79%) for NDF, 0.89 (SECV 0.86%) for ash, and 0.84 (SECV 5.21%) for RFV on a dry matter (%), respectively. The NIRS calibration equations developed in this study will be useful in predicting whole crop rice quality for these six quality parameters.