• 제목/요약/키워드: Near-infrared (NIR) spectroscopy

검색결과 373건 처리시간 0.026초

DETECTION OF SOY, PEA AND WHEAT PROTEINS IN MILK POWDER BY NIRS

  • Cattaneo, Tiziana M.P.;Maraboli, Adele;Barzaghi, Stefania;Giangiacomo, Roberto
    • 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.

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THE ANALYSIS OF THE FT-NIR SPECTRA OF WATER ON THE BASIS OF TWO-STATE MODEL

  • Boguslawa, Czarnik-Matusewicz
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1181-1181
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    • 2001
  • Robinson with ${coworkers}^{1}$ have introduced two-state outer-neighbor bonding model to explain the anomalies of water. The studies on the properties of water as a function of temperature and pressure revealed that, unlike other ideas, all $H_2O$ molecules in liquid are tetrabonded. On the average they are forming two different bonding types. One type is the regular tetrahedral water-water bonding similar to that found in the ordinary ice Ih, whereas the other is a more dense nonregular tetrahedral bonding similar to that appearing in the ice II. The transformation between these two bonding forms is evidenced by FT-NIR experiment. The FT-NIR measurements were done for liquid water in the temperature range from $20^{\circ}C$ up to $80^{\circ}C$ in a wide extent of frequencies: 12 000 - 4000 $cm^{-1}$ /. Temperature dependent variations in the volume fraction of these two structures are directly related to the spectral changes. The absorbance variations are explored by means of the two-dimensional correlation spectroscopy (2DCOS), principal component analysis (PCA), curve fitting and second derivatives. The presence of the isosbestic points in a range of the combination and overtone transitions indicates that the experimental spectra are a superposition of two temperature independent components. One component of diminishing intensity with temperature increase, is assigned to a stronger hydrogen bonds occurred in the Ih type, whereas the second component showing an opposite behavior, one can attribute to a weaker H-bonds characteristic for the II type. The understanding of the hydrogen bonding network in the liquid water is very important in interpretation of the interaction between water and protein chain. The two-state model of water surrounding the protein surface could advance an understanding of the hydration process.

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고빌리루빈혈증이 유도된 신생자돈에서 근적외석 발광기를 이용한 뇌 혈역학적 변화에 대한 연구 (Near-Infrared Spectroscopy for Monitoring Cerebral Hemodynamics in Hyperbilirubinemia-induced Newborn Piglets)

  • 황종희;최창원;장윤실;박원순
    • 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.

명태 수리미의 일반성분 및 전분의 분석을 위한 근적외선 분광분석법의 이용 (Utilization of Near Infrared Spectroscopy for Analysis of Proximate Composition and Starch in Alaska Pollack Surimi)

  • 송호수;이근태;박성민;황선영
    • 한국수산과학회지
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    • 제35권4호
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    • pp.321-326
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    • 2002
  • 최근 식품의 성분분석을 위한 새로운 분석방법으로 관심을 끌고 있는 식품의 비파괴 분석법의 일종인 근적외선 분광분석법을 이용하여 명태 수미리의 단백질 및 지질의 정량과 수리미의 대표적 첨가물인 전분정량에 관한 일련의 실험을 행한 결과를 요약하면 다음과 같다. 근적외선 분광분석법을 이용한 수리미 중의 성분 측정을 위해서는 먼저 시료의 높은 수분함량으로 인해 나타나는 크고 폭 넓은 신호를 제거할 필요가 있었으며, 본 연구에서는 시료를 동결건조시킴으로써 수분에 의한 방해 신호를 제거하였다. 근적외선 분광분석법을 이용한 수리미 중의 단백질 분석에서 단백질의 근적외선 신호는 1,510nm, 2,050nm, 2,170nm, 2,180nm에서 나타나며, 이들 신호는 단백질 함량이 증가함에 따라 증가하는 경향을 나타내었다. SEE는 0.296이었고, SEP는 0.3267이었다. 지질의 정량을 위한 근적외선 분광분석에서는 1,730nm, 1,740nm, 2,300nm에서 지질에 의한 흡수신호가 관찰되었으며, 이들은 지질의 함량 증가에 따라 증가하는 경향을 나타내었다. SEE는 0.340이었고, SEP는 0.364이었다. 전분의 정량에서는 1,450nm와 1,950nm의 신호 변화가 가장 크게 나타났으며, SEE와 SEP는 각각 0.304, 0.318이었고, 오차범위 는 0.0186-0.6470이었다. 이상의 결과에서 근적외선 분광분석법을 이용한 수리미 중의 성분 측정은 신속성 및 재현성이 높아 수산가공품 중의 성분분석에 있어서 효과적이라 생각되고, 특히 수산제품 중 건제품의 분석에 있어서 앞으로 근적외선 분광분석법을 이용한 식품의 분석이 크게 확대될 것으로 기대되며, 차후 대상 시료를 달리한 연구가 다방면으로 활발히 진행되어야 할 것으로 사료된다.

NIRS를 이용한 삼지구엽초의 이카린 함량 분석 (Quantification of Icariin Contents in Epimedium koreanum N. by Using a Near Infrared Reflectance Spectroscopy)

  • 김용호;최병열;백흠영;이영상
    • 한국약용작물학회지
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    • 제10권5호
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    • pp.340-343
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    • 2002
  • 삼지구엽초에 함유되어 있는 icariin 함량을 신속하게 추정하기 위하여 NIRS(근적외선 분광분석기)를 이용한 분석 방법을 검토하였다. HPLC를 이용하여 분석된 삼지구엽초 유전자원 150계통에 대한 이카린 함량치를 NIRS 스펙트럼에 적용시켜 42개의 calibration set 와 26개의 valilion set를 구분하였다. NIRS의 검량식을 몇가지 방법에 의하여 비교분석한 결과 2차미분된 스텍트럼을 MPLS(Modified Partial Least Squares)를 이용한 회귀식에 이용하는 것이 가장 적합하였다. HPLC를 이용한 유전자원들의 이카린 함량은 평균 $0.424%(0.12{\sim}0.67%)$이었으며, NIRS에서 도출된 검량식과의 상관계수는 0.951을 나타내었다. 따라서 삼지구엽초의 이카린 함량은 NIRS를 이용하여 신속 편리하게 분석할 수 있음이 인정되었다.

NIR PREDICTIONS OF INDIRECT RESPONSES

  • Claridge, Rovert-Burling;Ross Clarke
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.3103-3103
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    • 2001
  • NIR has been extensively used to predict directly measurable properties of materials that are important to the appropriate industries. Commonly, NIR is used to perform fast, routine tests to improve control response as against the response time for the (normally chemical) base test. This paper discusses the use of NIR to measure indirect properties of materials. In these cases, the pure chemical or physical tests are either unable measure the appropriate parameters (eg GMO modification) or there are mitigating effects that are not properly addressed by the base tests. In particular, we looked at the digestible portion of amino acids within meat and bone meal. This is the desired response measurement by end-users of the product (intensive livestock producers) but is currently unable to be offered as a measurement by producers. The base test method is by controlled feeding trials. These are somewhat cumbersome, taking 2-3 months, involving several sets of animals, and considerable expense. A shortened test (feed trial based) would be of little use, as the precision blows out over short period feeding trials. For example, a rat ileal digestibility test requires around 2 months, and costs some $USD1000. This is clearly impractical test for a producer involved in continuous production, with a 1-2 day turn around. While the amino acid abundance is accessible chemically, the uptake of amino acids into usable material by mammalian species is not simply related to the measured abundance within the material. There are many co-related material properties that might help or hinder uptake, some chemical based (eg protein damage), some indirect (eg palatability), some physiological (intestinal tract response vs speed of throughput). We discuss the approaches taken to provide a suitable reference data set, and present the derived prediction and validation relationships.

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Quality Prediction of Kiwifruit Based on Near Infrared Spectroscopy

  • Lee, Jin Su;Kim, Seong-Cheol;Seong, Ki Cheol;Kim, Chun-Hwan;Um, Yeong Cheol;Lee, Seung-Koo
    • 원예과학기술지
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    • 제30권6호
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    • pp.709-717
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    • 2012
  • To establish the standard of ripe kiwifruit sorting, near infrared (NIR) spectroscopy was performed on kiwifruit sampled from three farms. Destructive measurements of flesh firmness, soluble solids content (SSC), and acidity were performed and compared to measurement using NIR reflectance spectrums from 408 to 2,492 nm. NIR predictions of those quality factors were calculated using the modified partial least square regression method. Flesh firmness was predicted with a standard error of prediction (SEP) of 3.32 N and with a correlation coefficient ($R^2$) of 0.88. SSC was predicted with SEP of $0.49^{\circ}Brix$ and with $R^2$ of 0.98. Acidity was predicted with SEP of 0.28% and with $R^2$ of 0.91. Kiwifruit ripened at $20^{\circ}C$ for 15 days showed uneven qualities with normal distribution. Considering the SEP of each parameter, kiwifruit after ripening treatment could be non-destructively predicted their qualities and sorted by flesh firmness or soluble solids content through NIR prediction.

근적외 분광분석법에 의한 잎담배의 품질측정 자동화 (A Study for Automatic Analysis of Qualysis of Quality Components in Tabacco Leaves Using Non-destructive Analytical Method)

  • 조래광;이경희;이정환;권영길
    • Applied Biological Chemistry
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    • 제37권5호
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    • pp.349-355
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    • 1994
  • 비파괴 측정법의 하나인 근적외 분광분석법을 응용하여 국내산 황색종 잎담배의 품질에 관련된 주요성분인 수분, 니코틴, 전질소, 환원당 및 색깔 등을 신속, 정확하게 동시에 측정하기 위한 가능성을 조사하였다. 근적외 영역의 광학데이타와 기존 습식분석법에 의한 잎담배의 수분, 니코틴, 전질소, 환원당 및 L, a, b 측정치 간에 중회귀 분석을 행한 결과, 검정용 시료에 대한 측정오차(SEP)가 각각 0.28%, 0.25%, 0.07%, 1.25, 0.44 및 1.07이며, 시료의 전처리없이 30초 이내에 동시에 측정 가능함을 알 수 있었다. 아울러 잎담배 수매, 원료가공 및 제품담배 제조현장에 활용하기 위한 보급형 근적외 분광분석기의 개발 가능성도 검토하였다.

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근적외선분광법을 이용한 수수×수단그라스 교잡종 종자의 품종 판별 (Variey Discrimination of Sorghum-Sudangrass Hybrids Seed Using near Infrared Spectroscopy)

  • 이기원;송요욱;김지혜;라하만 아티쿨;오미래;박형수
    • 한국초지조사료학회지
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    • 제40권4호
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    • pp.259-264
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    • 2020
  • 본 연구는 근적외선분광법을 이용하여 국내에서 재배중인 수수×수단그라스 교잡종 품 판별 가능성을 검토하고자 수행되었다. 근적외선분광기를 이용하여 수수×수단그라스 교잡종 종자를 가시파장 대역대 (680 - 1,099 nm), NIRS 파장 대역대 (1,100 - 2,500 nm) 및 NIRS 전체 파장 대역대 (680 - 2,500 nm)로 구분하여 스펙트라를 얻은 후 1차 미분과 8 nm gap으로 수 처리를 수행하였으며 부분최소자승 (PLS) 회귀분석법을 통해 품종판별 검량식을 개발하고 판별 정확성을 검증하였다. 수수×수단그라스 교잡종품종 판별의 정확성은 NIR파장대역에서 SECV 8.44 그리고 R2CV 0.89로 가장 판별 정확성이 낮았으며 NIRS 전체 파장대역에서 SECV 7.88 그리고 R2CV 0.90로 가장 높은 판별 정확성을 나타내었다. 파장대역별 예측 정확성은 NIR 파장대역 (1,100 - 2,500 nm)이 가장 우수하였으며, 교차검증오차 (SECV) 8.44에서 예측오차 (SEP) 12.03로 높아졌으며 가시영역대 (680 - 1,099)는 SECV 8.23에서 SEP 12.51로 높아졌다. Discrimination equation 분석법에 의한 NIRS 전체 파장대역별 수수×수단그라스 교잡종 종자의 판별 결과는 품종간에 판별 정확성의 차이가 크게 나타났으며 1, 2, 4 그리고 8번 품종 (G-7, BMR Gold II, Honey chew and SX-17)에서는 100 %의 정확성으로 가장 높게 나타났다. 따라서 NIRS를 이용한 수수×수단그라스 교잡종 종자의 판별분석이 가능할 것으로 판단되었다.

Transferring Calibrations Between on Farm Whole Grain NIR Analysers

  • Clancy, Phillip J.
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1210-1210
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    • 2001
  • On farm analysis of protein, moisture and oil in cereals and oil seeds is quickly being adopted by Australian farmers. The benefits of being able to measure protein and oil in grains and oil seeds are several : $\square$ Optimize crop payments $\square$ Monitor effects of fertilization $\square$ Blend on farm to meet market requirements $\square$ Off farm marketing - sell crop with load by load analysis However farmers are not NIR spectroscopists and the process of calibrating instruments has to the duty of the supplier. With the potential number of On Farm analyser being in the thousands, then the task of calibrating each instrument would be impossible, let alone the problems encountered with updating calibrations from season to season. As such, NIR technology Australia has developed a mechanism for \ulcorner\ulcorner\ulcorner their range of Cropscan 2000G NIR analysers so that a single calibration can be transferred from the master instrument to every slave instrument. Whole grain analysis has been developed over the last 10 years using Near Infrared Transmission through a sample of grain with a pathlength varying from 5-30mm. A continuous spectrum from 800-1100nm is the optimal wavelength coverage fro these applications and a grating based spectrophotometer has proven to provide the best means of producing this spectrum. The most important aspect of standardizing NIB instruments is to duplicate the spectral information. The task is to align spectrum from the slave instruments to the master instrument in terms of wavelength positioning and then to adjust the spectral response at each wavelength in order that the slave instruments mimic the master instrument. The Cropscan 2000G and 2000B Whole Grain Analyser use flat field spectrographs to produce a spectrum from 720-1100nm and a silicon photodiode array detector to collect the spectrum at approximately 10nm intervals. The concave holographic gratings used in the flat field spectrographs are produced by a process of photo lithography. As such each grating is an exact replica of the original. To align wavelengths in these instruments, NIR wheat sample scanned on the master and the slave instruments provides three check points in the spectrum to make a more exact alignment. Once the wavelengths are matched then many samples of wheat, approximately 10, exhibiting absorbances from 2 to 4.5 Abu, are scanned on the master and then on each slave. Using a simple linear regression technique, a slope and bias adjustment is made for each pixel of the detector. This process corrects the spectral response at each wavelength so that the slave instruments produce the same spectra as the master instrument. It is important to use as broad a range of absorbances in the samples so that a good slope and bias estimate can be calculated. These Slope and Bias (S'||'&'||'B) factors are then downloaded into the slave instruments. Calibrations developed on the master instrument can then be downloaded onto the slave instruments and perform similarly to the master instrument. The data shown in this paper illustrates the process of calculating these S'||'&'||'B factors and the transfer of calibrations for wheat, barley and sorghum between several instruments.

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