CAJ | 학술논문

采用基于线性渐变滤光片分光原理的微型近红外光谱仪对2012年和2013年的西湖龙井和普通扁形茶建立真伪识别模型。分别对不同年份、不同保存期样品的近红外光谱数据进行PCA分解，并根据PCA得分分布的数学特征选取代表性样品，建立 PLS-DA模型，从数学原理的角度对模型不适应性的原因加以分析，并对其进行修正，结合外部盲样的验证，有效地增强了模型适应性。研究结果表明，针对西湖龙井和普通扁形茶，采用不同年份样品近红外光谱数据共同建模可有效提高模型对不同年份样品的识别正确率；采用不同保存期样品近红外光谱数据建模结果表明，普通扁形茶在冷冻保存3个月后，理化性质发生了较大的变异，而西湖龙井的理化性质相对较为稳定。从光谱数据主成分特征的数学原理角度对不同年份以及不同保存期模型的适应性进行了研究，建立并验证了适合西湖龙井真伪识别的模型，有效提高了模型的预测准确度。不仅可为近红外光谱应用于农产品质量安全与品质分级方面提供一定的参考，而且对提高农产品近红外分级模型的预测准确度亦具有参考价值。
채용기우선성점변려광편분광원리적미형근홍외광보의대2012년화2013년적서호룡정화보통편형다건립진위식별모형。분별대불동년빈、불동보존기양품적근홍외광보수거진행PCA분해，병근거PCA득분분포적수학특정선취대표성양품，건립 PLS-DA모형，종수학원리적각도대모형불괄응성적원인가이분석，병대기진행수정，결합외부맹양적험증，유효지증강료모형괄응성。연구결과표명，침대서호룡정화보통편형다，채용불동년빈양품근홍외광보수거공동건모가유효제고모형대불동년빈양품적식별정학솔；채용불동보존기양품근홍외광보수거건모결과표명，보통편형다재냉동보존3개월후，이화성질발생료교대적변이，이서호룡정적이화성질상대교위은정。종광보수거주성분특정적수학원리각도대불동년빈이급불동보존기모형적괄응성진행료연구，건립병험증료괄합서호룡정진위식별적모형，유효제고료모형적예측준학도。불부가위근홍외광보응용우농산품질량안전여품질분급방면제공일정적삼고，이차대제고농산품근홍외분급모형적예측준학도역구유삼고개치。
In the present paper ,the micro-NIR spectrometer with the splitter of linear variable filter was used to develop the rec-ognition models of the West Lake Longjing tea and the ordinary flat tea of the year 2012 and 2013 .The NIR spectral data of dif-ferent years and different storage times were decomposed by PCA algorithm .The PLS-DA models were developed by the repre-sentative samples selected by the mathematical characteristics of PCA-scores’ distribution in order to analyze the reason for the inadaptability of the models according to mathematical principles and find out the solution for its correction .Being examined by the external validation set ,the adaptability of the authenticity identification model was enhanced effectively .The result of this research indicated that ,for the West Lake Longjing tea and the ordinary flat tea ,the correct recognition rate of the model devel-oped by all different-year samples’ NIR spectral data would be enhanced effectively .The model developed by the NIR spectral data of different storage time samples indicated that the physicochemical properties of the ordinary flat tea have changed remark-ably after cryopreservation for 3 months ,while the physicochemical properties of the West Lake Longjing tea are relatively sta-ble .The model adaptabilities for different years and different storage times were studied according to the mathematical perspec-tive of the principal component characteristics of spectral data .After the authenticity identification model of West Lake Longjing tea was developed ,the prediction accuracy was enhanced effectively .This research would provide reference for not only the ap-plication of NIR spectroscopy in quality grading and safety of agricultural products ,but also the enhancement of the prediction accuracy of the NIR grading models for agricultural products .