• 한국광학회지
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• 제28권1호
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• pp.22-27
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• 2017

본 논문에서는 음향광학 파장선택 필터(acousto-optic tunable filter) 기반의 파장훑음 레이저(wavelength swept laser)를 이용한 시간-인코딩 근적외선 분광 기술(time-encoded near-infrared spectroscopy)을 제안하였다. 파장훑음 레이저는 800 nm 근처 영역에서 이득 스펙트럼을 가지는 반도체 광 증폭기(semiconductor optical amplifier)를 기반으로 제작되었으며, 음향광학 파장선택 필터를 공진기 내부에 삽입함으로써 음향광학 파장선택 필터에 인가되는 전기적 라디오주파수에 따라 출력 파장을 선택할 수 있도록 하였다. 본 연구에서는 종래의 기술인 백색광 분광기 기반의 검출부 분광 근적외선 분광 기술과 제안된 파장훑음 레이저 기반의 광원부 분광 근적외선 분광 기술을 각각 이용하여 근적외선 흡수 염료 샘플의 흡광도를 각기 측정하여 실험적으로 비교함으로써 본 연구에서 제안하는 음향광학 파장선택 필터 기반 파장훑음 레이저를 이용한 근적외선 분광 기술의 특성을 증명하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1517-1517
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• 2001

Cultural conditions during production of compost, using wheat straw and chicken litter as raw materials, will affect the microbial and biochemical characteristics, leading to a wide variation in mushroom productivity. Over the past 10 years, chemical and instrumental methods, suitable for assessing compost quality have been studied in Northern Ireland. In addition, the use of near subject of investigation over the past 4 years. Previous studies have shown that NIRS can be used fer assessing quality of dried and milled composts. The aim of the current investigation is to develop NIR calibrations for key quality parameters such as dry matter, pH, nitrogen, carbon, ash, microbial population and fibre factions during the two stages of production using spectra of fresh composts. Near infrared reflectance measurements of fresh composts prepared by 6 producers were made during a two-year period. Although the spectra of fresh composts were dominated by two moisture peaks at 1450 nm and 1940 nm, good calibrations for determining moisture content, conductivity, pH, nitrogen, carbon and fibre fractions were developed. The results of quality assessment during commercial production using the calibrations will be presented and discussed.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1273-1273
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• 2001

The efficiency of the luminal fermentation process influences overall efficiency of luminal production, animal health and reproduction. Ruminant production systems have a significant impact on the global environment, as well. Animal wastes contribute to pollution of the environment as ammonia volatilized to the air and nitrate leached to ground water. Microbial protein synthesis in the rumen satisfies a large proportion of the protein requirements of animals. Quantifying the microbial synthesis is possible by using markers for lumen bacteria and protozoa such as nucleic acids, purine bases, some specific amino acids, or by isotopic $^{15}N,^{32}P,\;and\;^{35}S$ labelled feeds. All those methods require cannulated animals, they are time-consuming and some methods are very expensive as well. Many attempts have been made to find an alternative method for indirect measurement of microbial synthesis in intact animals. The present investigations aimed to assess possibilities of NIRS for prediction of purine nitrogen excretion and ruminal microbial nitrogen synthesis by NIR spectra of urine. Urine samples were collected from 12 growing sheep,6 of them male, and 6- female. The sheep were included in feeding experiment. The ration consisted of sorghum silage and protein supplements -70:30 on dry matter basis. The protein supplements were chosen to differ in protein degradability. The urine samples were collected daily in a vessel containing $60m{\ell}$ 10% sulphuric acid to reduce pH below 3 and diluted with tap water to 4 liters. Samples were stored in plastic bottles and frozen at $-20^{\circ}C$ until chemical and NIRS analysis. The urine samples were analyzed for purine derivates - allantoin, uric acid, xantine and hypoxantine content. Microbial nitrogen synthesis in the lumen was calculated according to Chen and Gomes, 1995. Transmittance urine spectra with sample thickness 1mm were obtained by NIR System 6500 spectrophotometer in the spectral range 1100-2500nm. The calibration was performed using ISI software and PLS regression, respectively. The following statistical results of NIRS calibration for prediction of purine derivatives and microbial protein synthesis were obtained.(Table Omitted). The result of estimation of purine nitrogen excretion and microbial protein synthesis by NIR spectra of urine showed accuracy, adequate for rapid evaluation of microbial protein synthesis for a large number of animals and different diets. The results indicate that the advantages of the NIRS technology can be extended into animal physiological studies. The fast and low cost NIRS analyses could be used with no significant loss of accuracy when microbial protein synthesis in the lumen and the microbial protein flow in the duodenum are to be assessed by NIRS.

• 아시안잔디학회지
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• 제23권1호
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• pp.77-90
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• 2009

Near Infrared Reflectance Spectroscopy(NIRS)는 짧은 시간 안에 식물의 다양한 영양소를 동시에 정확하고 빠르게 측정할 수 있다. 본 연구는 creeping bentgrass 'CY2' 엽의 여러 가지 기본 요소의 값을 예측하기 위해서 NIRS(근적의선 분광분석기)를 사용하여 측정하였다. 그 결과, 질소와 수분 그리고 탄수화물의 $r^2$은 각각 0.892, 0.925, 0.971이었다. 검량식에 대한 검증에서 $r^2$이 높은 상관관계를 나타냈으므로, 잔디에서 더 많은 연구를 위한 실용화 가능성을 확인 할 수 있었다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1156-1156
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• 2001

This work aimed to prove the feasibility of NIR spectroscopy to detect vegetable protein isolates (soy, pea and wheat) in milk powder. Two hundred and thirty-nine samples of genuine and adulterated milk powder (NIZO, Ede, NL) were analysed by NIRS using an InfraAlyzer 500 (Bran+Luebbe). NIR spectra were collected at room temperature, and data were processed by using Sesame Software (Bran+Luebbe). Separated calibrations for each non-milk protein added, in the range of 0-5%, were calculated. NIR data were processed by using Sesame Software (Bran+Luebbe). Prediction and validation were made by using a set of samples not included into the calibration set. The best calibrations were obtained by the PLSR. The type of data pre-treatment (normalisation, 1$\^$st/ derivative, etc..) was chosen to optimize the calibration parameters. NIRS technique was able to predict with good accuracy the percentage of each vegetable protein added to milk powder (soy: R$^2$ 0.994, SEE 0.193, SEcv 0.301, RMSEPall 0.148; pea: R$^2$ 0.997, SEE 0.1498, SEcv 0.207, RMSEPall 0.148, wheat: R$^2$ 0.997, SEE 0.1418, SEcv 0.335, RMSEPall 0.149). Prediction results were compared to those obtained using other two techniques: capillary electrophoresis and competitive ELISA. On the basis of the known true values of non-vegetable protein contents, the NIRS was able to determine more accurately than the other two techniques the percentage of adulteration in the analysed samples.

• Clinical and Experimental Pediatrics
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• 제48권6호
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• pp.649-654
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• 2005

목 적 : 본 연구는 고빌리루빈혈증이 유도된 신생자돈에서 비 침습적인 NIRS을 통한 뇌의 혈역학적 변화에 대해 알아보고자 하였다. 방 법 : 17 마리의 신생자돈을 대상으로 정상 대조군(CG, n=6), 고빌리루빈혈증군(BG, n=7마리), 7-NI를 투여한 고빌리루빈 혈증군(NG, n=4)으로 무작위 구분하였다. 고빌리루빈혈증의 유도는 40 mg/kg의 빌리루빈을 농축괴로 정주한 후 곧 이어 30mg/kg/hr로 4시간 동안 지속 정주하여 혈중 빌리루빈 농도를 20 mg/dL 이상으로 유지하였고 7-NI는 빌리루빈을 농축괴로 투여한 전과 후에 50 mg/kg을 복막투여 하였다. 모든 실험군은 실험 기간 동안 뇌의 혈역학적 변화를 위해 NIRS로 감시하였고 뇌 조직을 적출하여 생화학적인 변화를 관찰하였다. 결 과 : 동맥혈의 base excss, pH, 평균 동맥압은 BG군과 NG군에서 CG군에 비해 유의하게 감소하였다. BG군에서 유의하게 뇌 조직의 $Na^+$, $K^+$-ATPase activity, ATP, PCr은 유의하게 감소하고 conjugated dienes는 유의하게 증가하였으나 NG 군은 이런 이상소견이 유의하게 완화되었다(P<0.05). 뇌 혈역학적 검사상 [$HbO_2$], [HbT], 및 [HbD]는 BG군에서 CG군에 비해 유의하게 감소하였고(P<0.05) NG군은 CG군과 차이가 없었다. 실험 종료시 $ScO_2$는 세 군간에 유의한 차이가 없었다. 결 론 : 고빌리루빈혈증이 유도된 신생자돈에서 뇌의 혈역학적인 변화를 비침습적인 NIRS의 감시를 통해 유용하게 관찰할 수 있었다.

• 한국초지조사료학회지
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• 제41권1호
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• pp.29-34
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• 2021

본 연구는 근적외선분광법을 활용한 조사료의 Ca과 P 함량의 분석 가능성을 검토하고 예측 정확성이 높은 검량식을 개발하기 위하여 전국 건초 수입상, TMR 회사와 축산 농가에서 수집한 수입 화본과와 두과 목건초 392점 중에서 무작위로 126점을 선택하여 검량식 개발에 이용하였다. 선택된 시료는 시료측정 전처리 방법을 생시료 처리와 건조분쇄 처리구로 나누어 근적외선 스펙트라를 측정하고 근적외선 파장대역을 가시영역, 근적외선, 전파장영역으로 구분하여 검량식을 개발하여 예측 정확성을 평가하였다. 수입건초의 Ca과 P 함량에 대한 예측 정확성은 시료 전처리 방법과 파장대역별에 따라 다양하게 나타났으며, 시료전처리 방법은 건조하여 분쇄하는 방법과 파장대역별로는 근적외선 파장(1,100~2,500 nm)대역에서 예측 정확성이 높게 나타났다. 수입건초의 Ca 함량 예측 정확성은 근적외선 파장대역에서 건조분쇄 측정이 SEC 292.3 mg/kg(R2=0.99)와 SECV 468.6 mg/kg(R2=0.98)로 가장 정확한 예측능력을 나타냈다. 수입건초의 P 함량은 근적외선 파장대역에서 건조분쇄 측정이 SEC 204.4 mg/kg(R2=0.91)과 SECV 224.7 mg/kg(R2=0.89)로 가장 정확한 예측능력을 나타냈다. 이상의 결과를 종합해보면 근적외선분광법을 이용하여 조사료의 주요 광물질인 Ca과 P 함량을 신속하고 정확하게 분석이 가능하였으며, 시료 측정시 건조하여 분쇄하는 전처리 방법과 근적외선 파장대역에서 검량식을 개발하는 것이 예측 정확성이 가장 우수한 것으로 나타났다.

• 분석과학
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• 제15권2호
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• pp.102-107
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• 2002

근적외선 분광광도법 (near infrared spectroscopy, NIRS)를 이용하여 의약품의 신속 정확한 분석법을 개발하였다. 제조회사에 따라 약효성분이 같고 유사한 부형제를 갖고 있는 페노바르비탈정제에서 페노바르비탈을 액체크로마토그래피로 분석한 분석치와 투과방식의 NIRS 의 부분최소자승법(partial least squares regression, PLSR) 으로 얻은 데이터와의 상관관계를 이용하여 검정선을 얻었다. 이 방법의 직선성, 정량범위, 재현성 등을 검토하여 본 분석법의 정확성을 검증하였다. 검정선의 상관계수는 0.9983이고 검정의 표준오차(SEC)는 0.14% 이였으며, 이 분석법의 시간별 및 날자별 정밀도인 CV 값은 각 각 0.45%과 0.56% 이다.

• 한국작물학회지
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• 제61권1호
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• pp.64-69
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• 2016

This study was conducted to develop a fast and efficient screening method to determine the quantity of fatty acid in peanut oil for high oleate breeding program. A total of 329 peanut samples were used in this study, 227 of which were considered in the calibration equation development and 102 were utilized for validation, using near infrared reflectance spectroscopy (NIRS). The NIRS equations for all the seven fatty acids had low standard error of calibration (SEC) values, while high R2 values of 0.983 and 0.991 were obtained for oleic and linoleic acids, respectively in the calibration equation. Furthermore, the predicted means of the two main fatty acids in the calibration equation were very similar to the means based on gas chromatography (GC) analysis, ranging from 36.7 to 77.1% for oleic acid and 7.1 to 42.7% for linoleic acid. Based on the standard error of prediction (SEP), bias values, and $R^2$ statistics, the NIRS fatty acid equations were accurately predicted the concentrations of oleic and linoleic acids of the validation sample set. These results suggest that NIRS equations of oleic and linoleic acid can be used as a rapid mass screening method for fatty acid content analysis in peanut breeding program.

• Current Optics and Photonics
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• 제6권5호
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• pp.489-496
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• 2022

Our previous study on monitoring cerebral oxygenation with a variation of isoflurane concentration in a rat model showed that near-infrared spectroscopy (NIRS) signals have potential as a new depth of anesthesia (DOA) index. However, that study obtained results from the brain in a completely invasive way, which is inappropriate for clinical application. Therefore, in this follow-up study, it was investigated whether the NIRS signals measured in a minimally invasive model including the skull and cerebrospinal fluid layer (CSFL) are similar to the previous study used as a gold standard. The experimental method was the same as the previous study, and only the subject model was different. We continuously collected NIRS signals before, during, and after isoflurane anesthesia. The isoflurane concentration started at 2.5% (v/v) and decreased to 1.0% by 0.5% every 5 min. The results showed a positive linear correlation between isoflurane concentration and ratio of reflectance intensity (RRI) increase, which is based on NIRS signals. This indicates that the quality of NIRS signals passed through the skull and CSFL in the minimally invasive model is as good as the signal obtained directly from the brain. Therefore, we believe that the results of this study can be easily applied to clinics as a potential indicator to monitor DOA.