A high NIR-reflective black pigment is developed by Mn doping of Fe2O3. The pigment powders are prepared by spray pyrolysis, and the effect of the Mn concentration on the blackness and optical properties is investigated. Mn doping into the crystal lattice of -Fe2O3 is found to effectively change the powder color from red to black, lowering the NIR reflectance compared to that of pure Fe2O3. The pigment doped with 10% Mn, i.e., Fe1.8Mn0.2O3, exhibits a black color with an optical bandgap of 1.3 eV and a Chroma value of 1.14. The NIR reflectance of the prepared Fe1.8Mn0.2O3 black pigment is 2.2 times higher than that of commercially available carbon black, and this material is proven to effectively work as a cool pigment in a temperature rise experiment under near-infrared illumination.

Kjeldahl method used in many materials from various plant parts to determine protein contents, is laborious and time-consuming and utilizes hazardous chemicals. Near-infrared (NIR) reflectance spectroscopy, a rapid and environmentally benign technique, was investigated as a potential method for the prediction of protein content. Near-infrared reflectance spectra(1100-2400 nm) of coarse cereal grains(n=100 for each germplasm) were obtained using a dispersive spectrometer as both of grain itself and flour ground, and total protein contents determined according to Kjeldahl method. Using multivariate analysis, a modified partial least-squares model was developed for prediction of protein contents. The model had a multiple coefficient of determination of 0.99, 0.99, 0.99, 0.96 and 0.99 for foxtail millet, sorghum, millet, adzuki bean and mung bean germplasm, respectively. The model was tested with independent validation samples (n=10 for each germplasm). All samples were predicted with the coefficient of determination of 0.99, 0.99, 0.99, 0.91 and 0.99 for foxtail millet, sorghum, millet, adzuki bean and mung bean germplasm, respectively. The results indicate that NIR reflectance spectroscopy is an accurate and efficient tool for determining protein content of diverse coarse cereal germplasm for nutrition labeling of nutritional value. On the other hands appropriate condition of cereal material to predict protein using NIR was flour condition of grains.

분쇄하지 않은 정조상태에서 현미와 백미의 성분을 측정 할 목적으로 수확 후 정조로부터 스펙트럼을 획득하였고(투과법 : 850-1050 nm, 반사법 : 400-2500 nm) 현미와 백미의 단백질, 아밀로스, 지방산, 수분함량, 식미값의 예측모델을 개발하여 그 정밀도를 비교 검토하기 위해서 일련의 시험을 실시한 결과는 다음과 같다. 투과법으로 정조의 스펙트럼을 수집한 후 현미의 단백질, 아밀로스, 지방산, 수분함량의 검량식을 작성한 결과 0.9001, 0.8321, 0.8077, 0.9553의 결정계수를 나타냈다. 백미의 단백질, 아밀로스, 수분함량, 식미값의 검량식을 작성한 결과 0.8255, 0.8559, 0.8226, 0.3421의 결정계수를 나타냈다. 반사법으로 정조의 스펙트럼을 수집한 후 현미의 단백질, 아밀로스, 지방산, 수분함량의 검량식을 작성한 결과 0.8286, 0.7705, 0.9094, 0.9694의 결정계수를 나타냈다. 백미의 단백질, 아밀로스, 수분함량, 식미값의 검량식을 작성한 결과 0.7904, 0.7679, 0.8435, 0.4881의 결정계수를 나타냈다. 이상의 결과에 의해서 단백질, 아밀로스, 지방산, 수분함량은 실용적인 결정계수를 얻었으나, 식미값은 결정계수가 너무 낮아 계속적인 연구가 필요하다고 판단하였다