Muik Barbara, Lendl Bernhard, Molina-Díaz Antonio, Ayora-Cañada Maria José
Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164, A-1060 Wien, Austria.
Appl Spectrosc. 2003 Feb;57(2):233-7. doi: 10.1366/000370203321535169.
A method for the direct and fast determination of oil content and humidity in olives using Fourier transform Raman spectrometry is reported. The only sample preparation step required was crushing of the olives using a hammer mill. The crushed olives were placed in a dedicated sample cup, which was rotated excentrically to the horizontal laser beam during spectrum acquisition. This allowed us to sample an increased volume and thus compensate for sample inhomogeneities. In this way the reproducibility of Raman spectra taken from crushed olives was significantly improved. Partial least-squares (PLS) regression was used for the chemometric evaluation of the Raman spectra. Standard errors of prediction for the validation set of 0.81% for oil content (in the range 19.68-35.71%) and 1.54% for humidity (in the range 29.23-51.49%), both expressed as weight percentage referred to fresh matter, were obtained.
报道了一种使用傅里叶变换拉曼光谱法直接快速测定橄榄中油含量和湿度的方法。唯一需要的样品制备步骤是使用锤式粉碎机粉碎橄榄。将粉碎后的橄榄放入专用样品杯中,在光谱采集过程中,该样品杯相对于水平激光束偏心旋转。这使我们能够对更大的体积进行采样,从而补偿样品的不均匀性。通过这种方式,从粉碎橄榄中获取的拉曼光谱的重现性得到了显著提高。偏最小二乘法(PLS)回归用于拉曼光谱的化学计量学评估。获得了验证集的预测标准误差,油含量(范围为19.68 - 35.71%)为0.81%,湿度(范围为29.23 - 51.49%)为1.54%,两者均以相对于新鲜物质的重量百分比表示。