• 한국토양비료학회지
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• 제33권4호
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• pp.242-246
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• 2000

근적외 분광분석기를 이용하여 과수의 영양진단을 위한 신속한 엽분석 수단으로 활용하고자 본 시험을 수행하였다. 사과 '후지'품종 잎 177점, 포도 '캠벨얼리' 품종 잎130점의 시료를 이용하여 1,100~2.500nm까지 근적외영역의 흡수스펙트럼을 측정하였다. 총질소 분석은 살리실산-황산으로 분해후 켈달 증류하여 측정하였다. 근적외 스펙트럼과 총 질소함량과의 상관분석을 이용, 검량식을 개발하였고 화학분석한 결과에 대한 예측식을 구하였다. 사과는 중회귀계수 0.965, 검량식의 표준오차 0.086, 포도는 중회귀계수 0.926, 검량식의 표준오차 0.152이었다. 개발된 검량식을 이용하여 예측식을 작성한 결과는 사과의 경우 0.360, 포도 0.210의 결과를 얻었다. 지역간, 년차간 발생되는 변이가 보정된다면 신속한 엽분석 수단이 될 것으로 판단된다.

• Food Science and Biotechnology
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• 제14권2호
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• pp.280-285
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• 2005

Applicability of near infrared reflectance spectroscopy (NIRS) was examined for quality control of red pepper powder in milling factories. Prediction of chemical composition was performed using modified partial least square (MPLS) techniques. Analysis of total 51 and 21 red pepper powder samples by conventional methods for calibration and validation, respectively, revealed standard error of prediction (SEP) and correlation coefficient ($R^2$) of moisture content, ASTA color value, capsaicinoid content, and total sugar content were 0.55 and 0.90, 8.58 and 0.96, 31.60 and 0.65, and 1.82 and 0.86, respectively; SEP and $R^2$ were low and high, respectively, except for capsaicinoid content. The results indicate, with slight improvement, on-line quality measurement of red pepper powder with NIRS could be applied in red pepper milling factories.

• Near Infrared Analysis
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• 제2권1호
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• pp.55-58
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• 2001

The object of this work was to investigate the influence of growing district and harvest year on calibration for sweetness (Brix) determination of Fuji apple fruit using near infrared (NIR) reflectance spectroscopy, and to develop the robust calibration across these variation. The calibration models was based on wavelength range of 1100∼2500 nm using a stepwise multiple linear regression. A calibration model by sample set of one growing district was not transferable to other growing districts. The combined calibration (data of three growing districts) predicted reasonable well against a population set drawn from all growing districts (SEP=0.69, Bias=0.075). A calibration model by sample set of one harvest year was not also transferable to other harvest years. The combined calibration (data of three harvest years) predicted well against a population set drawn from all harvest years (SEP=0.53, Bias=0.004).

• Near Infrared Analysis
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• 제1권1호
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• pp.23-26
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• 2000

The objectives of this study were to examine the ability to predict soluble solid and firmness in intact apple based on the visible/near-infrared spectroscopic technique. Two cultivars of apples, Delicious and Gala, were handled, tested and analyzed. Reflectance spectra, Magness-Taylor (MT) Firmness, and soluble solids in apples were measured sequentially. Maximum and minimum diameters, height, and weight of apples were recorded before the MT firmness tests. Apple samples were divided in to a calibration set and a validation set. The method of partial least squares (PLS) analysis was used. a unique set of PLS loading vectors (factors) was development for soluble solid and firmness. The PLS model showed good relationship between predicted and measured soluble solids in intact apples in the wavelength range of 860∼1078 nm. However, the PLS analysis was not good enough to predict the apple firmness.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1522-1522
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• 2001

Beverages based on fruit juices are among the most popular commercially available drinks. There is an ever-increasing demand for these juices in the market. Orange juice is one of the most common as well as most favorite flavor. The fruit processing industries have a tremendous responsibility of quality control. For quality evaluation estimation of various components of the juice is necessary. Sucrose, glucose, fructose, citric acid and malic acid are the prime components of orange juice. Little information is available on analysis of orange juice. However, conventional and general wet chemistry procedures are currently being used which are no longer desired by the industry owing to the time involved, labor input and harmful chemicals required for each analysis. Need to replace these techniques with new, highly specific and automated sophisticated techniques viz. HPLC and spectroscopy has been realized since long time. Potential of Near Infrared Spectroscopy in quantitative analysis of different components of food samples has also been well established. A rapid, non-destructive and accurate technique based on Near Infrared Spectroscopy for determination of sugars and organic acids in orange juice will be highly useful. The current study is an investigation into the potential of Near Infrared Diffuse Reflectance Spectroscopy for rapid quantitative analysis of sucrose, glucose, fructose citric acid and malic acid in orange juice. All the Near Infrared measurements were peformed on a dispersive NIR spectrophotometer (ELICO 153) in diffuse reflectance mode. The spectral region from 1100 to 2500nm has been explored. The calibration has been performed on synthetic samples that are mixtures of sucrose, glucose, fructose, citric acid and malic acid in different concentration ranges typically encountered real orange juice. These synthetic samples are therefore considered to be representatives of natural juices. All the Near Infrared spectra of synthetic samples were subjected to mathematical analysis using Partial Least Square (PLS) algorithm. After the validation, calibration was applied to commercially available real samples and freshly squeezed natural juice samples. The actual concentrations were compared with those predicted from calibration curve. A good correlation is obtained between actual and predicted values as indicated by correlation coefficient ($R^2$) value, which is close to unity, showing the feasibility of the technique.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2000년도 창립총회 및 학술발표회
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• pp.53-53
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• 2000

• 한국작물학회:학술대회논문집
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• 한국작물학회 1995년도 춘계 학술대회지
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• pp.108-109
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• 1995

• 한국작물학회:학술대회논문집
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• 한국작물학회 1995년도 춘계 학술대회지
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• pp.106-107
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• 1995

• Near Infrared Analysis
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• 제1권2호
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• pp.35-39
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• 2000

The purpose of this research was to find out suitable soil sample preparation and sample holding tools for NIR reflection radiation for estimating soil components. NIR reflectance was scanned at 2nm intervals from 1,100 to 2,500nm with an InfraAlyzer 500(Bran+Luebbe Co.). Coarse(2.0mm) and fine(0.5mm) soil sample and various sample holding tools were used to obtain mean diffuse reflection of the soil for the calibration and validation of the calibration set in estimating moisture, organic matter and total nitrogen of the soils. Multiple linear regression was used to obtain the best correlation of NIR spectroscopy method. Correlation of NIR spectroscopy method. Correlation of NIR spectra for finely and coarsely sized soil did not show much difference. The standard errors of prediction(SE) using different types of sample holding tools for organic matter, total nitrogen and soil moisture were better than 0.765, 0.041 and 0.63% respectively. From the results it can be concluded that NIR spectroscopy with flow type cell could be used as a fast routine testing method in quantitative determination of organic matter, total nitrogen and soil moisture.

• 한국초지조사료학회지
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• 제9권3호
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• pp.163-167
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• 1989

Near infrared reflectance spectroscopy(NIRS)로 포장를 평가하기 위하여 일건 알파파 건초 5점의 조단백질, NDF, ADF 함량을 측정하였으며 NIRS와 전통적인 문화저방법에 의한 분석치를 비교하였다. 조단백질과 ADF의 량은 NIRS와 화학분석 식간간에 차이가 없었으나 NDF의 함량은 시료번호 2, 4.5에서 유의착(P<0.05)가 있었다.)가 있었다.