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Sohn, Mi-Ryeong,Kwon, Young-Kill,Cho, Rae-Kwang 한국근적외분광분석학회 2001 Near infrared analysis Vol.2 No.1
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 Reflectance Spectroscopy for Non-Invasive Measuring of Internal Quality of Apple Fruit
Sohn, Mi-Ryeong,Park, Woo-Churl,Cho, Rae-Kwang 한국근적외분광분석학회 2000 Near infrared analysis Vol.1 No.1
In this study, we investigated the feasibility of non-destructive determination of internal quality factors of Fuji apple fruit using near infrared(NIR) reflectance spectroscopy and developed the calibration models. As the reference methods, refractometer, titration and texture analyzer for sugar content, acidity and firmness were used, respectively. Samples were scanned from 1100∼2500nm with InfraAlyzer 500C spectrometer and SESAME software was used for data analysis. A multiple linear regression(MLR) analysis was performed to develop the calibrations. The correlation coefficient(R) and standard error of prediction(SEP) were as follows; 0.91, 0.41$^{\circ}$Brix for sugar content, 0.90, 0.04% for acidity and 0.84, 0.094 kg for firmness, respectively. This study shows that NIR spectroscopy can be used to evaluate the sugar content acidity and firmness of apple fruit with acceptable accuracy.
손미령,조래광 ( Mi Ryeong Sohn,Rae Kwang Cho ) 한국응용생명화학회 1998 Applied Biological Chemistry (Appl Biol Chem) Vol.41 No.3
In non-destructive evaluation of free acid content in apples by near- infrared spectroscopy(NIRS), browning and heat treatment of squeezed apple juice affected to the accuracy but titrable alkali concentration did not. The free acid content in apples after harvest was able to determine using different apples in harvest time for calibration making. The result of MLR multiple correlation coefficient(R) was 0.77 and standard error of prediction(SEP) was 0.03%. The free acid content in apples during storage was able to determine using calibration equation established with stored apples, R was 0.90 and SEP was ca. 0.04%. The prediction accuracy by LAIR was not sufficient for use of quantitative analysis of free acid content in apple, but classification of law and high level in acid content was supposed to be applicable.
손미령,조래광,Sohn, Mi-Ryeong,Cho, Rae-Kwang 한국응용생명화학회 1998 Applied Biological Chemistry (Appl Biol Chem) Vol.33 No.2
근적외 분광분석법으로 사과의 유리산 함량을 비파괴적으로 측정함에 있어서 사과 착즙액의 갈변에 의한 영향은 있었으나 실활처리 및 적정 알칼리액 농도는 측정 정확도에 영향을 주지 않았다. 수확기 사과의 유리산 함량은 수확 시기를 달리한 시료로 작성한 검량식을 사용하여 측정하였는데 중회귀분석 결과, 중상관계수(R)는 0.77이었고 측정오차(SEP)는 0.03%이었다. 저장 중인 사과의 유리산 함량은 저장하여 유리산 함량폭이 넓은 시료로 작성한 검량식을 사용하여 측정하였으며 그 결과 R은 0.90, SEP는 약 0.04%이었다. 근적외 분광분석법을 응용하여 사과 중의 유리산 함량을 정확히 정량하기는 다소 미흡하나 높은 산 함량치와 낮은 산 함량치를 가지는 사과로 분류하는 것은 가능한 것으로 판단되었다. In non-destructive evaluation of free acid content in apples by near- infrared spectroscopy(NIRS), browning and heat treatment of squeezed apple juice affected to the accuracy but titrable alkali concentration did not. The free acid content in apples after harvest was able to determine using different apples in harvest time for calibration making. The result of MLR, multiple correlation coefficient(R) was 0.77 and standard error of prediction(SEP) was 0.03%. The free acid content in apples during storage was able to determine using calibration equation established with stored apples, R was 0.90 and SEP was ca. 0.04%. The prediction accuracy by LAIR was not sufficient for use of quantitative analysis of free acid content in apple, but classification of law and high level in acid content was supposed to be applicable.
Lin, Guo-Lin,Sohn, Mi-Ryeong,Cho, Rae-Kwnag,Hong, Jin-Hwan 한국근적외분광분석학회 2000 Near infrared analysis Vol.1 No.2
The objectives of this study are to discriminate the geographical origin and cultivation years of ginseng based on the near-infrared(NIR) reflectance spectroscopic analysis. Korea and China ginseng samples were prepared for discrimination of geographical origin. 4, 5 and 6 years-old ginseng samples from Korea were prepared for discrimination of cultivation years. Used spectrometer were InfraAlyzer 500, InfraAlyzer 400 and Fiber optic. Sample type of ginseng was 3, whole ginseng radix, slide section and powder type. The accuracy was affected by sample types and instruments. The accuracy for discrimination geographical origin was 97% in calibration model using IA 500 and ginseng powder. For discrimination of cultivation years, the model with slide selection using IA500 were relative accurate. The accuracy was 96.7% for 4-year, 91.3% for 5-year and 89.3% for 6-year old ginseng. The study shows that NIR spectroscopic analysis can be used to discriminate the geographical origin and cultivation years of ginseng with acceptable accuracy.