CAJ | 학술논문

基于近红外漫反射光谱进行了马铃薯淀粉含量快速检测，并分析了表皮对光谱及淀粉含量检测精度的影响问题。本文对110个样品的漫反射光谱进行平均化（ Mean centering ）、微分处理及Norris滤波，建模方法选用主成分回归（ PCR ）及偏最小二乘法（ PLS ）。检测结果表明：近红外漫反射光谱检测马铃薯淀粉含量具有可行性，但表皮对光谱及检测精度有影响。采用 PLS 法对经 Norris 滤波处理的去皮马铃薯一阶微分光谱与淀粉含量建模，效果最好，相关系数r为0．893，根校正偏差 RMSEC 为1．01％；对预测集样品预测，均方根预测偏差 RMSEP为1．38％，精度明显优于带皮马铃薯的建模及预测精度（ r 为0．834，RMSEC 为1．29％，RMSEP 为1．74％）。果蔬品质光谱检测中，如要实现样品品质精确检测，表皮影响需进一步校正。
기우근홍외만반사광보진행료마령서정분함량쾌속검측，병분석료표피대광보급정분함량검측정도적영향문제。본문대110개양품적만반사광보진행평균화（ Mean centering ）、미분처리급Norris려파，건모방법선용주성분회귀（ PCR ）급편최소이승법（ PLS ）。검측결과표명：근홍외만반사광보검측마령서정분함량구유가행성，단표피대광보급검측정도유영향。채용 PLS 법대경 Norris 려파처리적거피마령서일계미분광보여정분함량건모，효과최호，상관계수r위0．893，근교정편차 RMSEC 위1．01％；대예측집양품예측，균방근예측편차 RMSEP위1．38％，정도명현우우대피마령서적건모급예측정도（ r 위0．834，RMSEC 위1．29％，RMSEP 위1．74％）。과소품질광보검측중，여요실현양품품질정학검측，표피영향수진일보교정。
In this paper , nondestructive and quick determination of starch content of potato was studied using NIR diffuse reflectance spectroscopy , and the influence of peel on spectra and detecting precision was analyzed .The mean centering method , derivative , norris derivative filtering methods were used to processes the spectra , and the partial least square method ( PLS) and principal component regression method ( PCR) were used to develop calibration models .110 samples detecting results showed that it is feasible to detect potato starch content using NIR diffuse reflectance spectroscopy , and the peel influence the spectra and measuring precision .The performance of the model for starch content of peeled potato using the first Norris derivative spectra combined with PLS method ( r=0 .893 , RMSEC=1 .01%, RMSEP=1 .38%) , was more better than that for intact potato starch ( r=0 .834 , RMSEC=1 .29%, RMSEP=1 .74%) .The influence of peel should be corrected in fruit and vegetable quality detecting using NIR spectroscopy .