CAJ | 학술논문

利用近红外光谱技术对宁夏、新疆、青海、内蒙的4个不同产地427份枸杞子样品进行光谱扫描。在主成分分析基础上利用判别分析法，在4500-9000 cm-1光谱波数范围内，光谱经用二阶导数，Norris derivative filt-5点平滑的预处理方法建立判别模型。结果表明：利用该模型可以将宁夏产地枸杞子与其他三地分开，且宁夏产地分别于新疆、内蒙、青海产地比较，判别准确率分别为98.3%、98.1%、97.9%。表明该方法在枸杞子产地识别中具有可行性，能够满足宁夏产地枸杞子的鉴别需求。
이용근홍외광보기술대저하、신강、청해、내몽적4개불동산지427빈구기자양품진행광보소묘。재주성분분석기출상이용판별분석법，재4500-9000 cm-1광보파수범위내，광보경용이계도수，Norris derivative filt-5점평활적예처리방법건립판별모형。결과표명：이용해모형가이장저하산지구기자여기타삼지분개，차저하산지분별우신강、내몽、청해산지비교，판별준학솔분별위98.3%、98.1%、97.9%。표명해방법재구기자산지식별중구유가행성，능구만족저하산지구기자적감별수구。
427 Chinese wolfberry samples from 4 different regions of China were scanned by near infrared spectrometer. The original spectra were preprocessed by the second derivative, norris derivative filt-5 point smoothing and discrimination analysis and were subjected to principle component analysis over the wave number range of 4500-9000 cm-1. The results revealed that Chinese wolfberry from Ningxia and other place can be distinguished by the discriminant model. Compared Ningxia with Xinjiang, Neimeng and Qinghai, precision rate of discriminant was 98.3%, 98.1%, 97.9%, respectively. These results supported the feasibility of applying NIR to identify the geographic origin of Chinese wolfberry from Ningxia.