光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
Spectroscopy and Spectral Analysis
2015年
9期
2536-2539
,共4页
张妍楠%陈兰珍%薛晓锋%吴黎明%李熠%杨娟
張妍楠%陳蘭珍%薛曉鋒%吳黎明%李熠%楊娟
장연남%진란진%설효봉%오려명%리습%양연
近红外光谱技术%主成分分析%典型判别分析%洋槐蜂蜜%大米糖浆
近紅外光譜技術%主成分分析%典型判彆分析%洋槐蜂蜜%大米糖漿
근홍외광보기술%주성분분석%전형판별분석%양괴봉밀%대미당장
Near infrared spectrum%Principal component analysis%Canonical discriminant analysis%Acacia honey%Rice syrup
利用近红外光谱技术(near infrared spectroscopy,NIR)并结合化学计量学方法鉴别洋槐蜜中掺入大米糖浆的可行性研究。以来自不同蜂场的20个洋槐原料蜜样品与大米糖浆混合成7个不同浓度梯度(10∶0,9∶1,7∶3,1∶1,3∶7,1∶9,0∶10 g·g-1)共121个样品为研究对象,利用近红外光谱仪和光谱处理软件分别不同浓度梯度的对掺假样品进行光谱扫描和数据转换,并进行主成分分析(PCA),结合典型判别分析进行区分。结果表明,经过主成分分析后,前2个主成分的得分累计贡献率达97.23%,但掺假样品在第一、第二主成分得分散点图的区域划分不明显。用典型判别分析进一步判别,所有样本均得到准确的判别,准确率为100%,6个典型判别函数中前两个判别函数的累积贡献率达到91.6%,同时在第一类和第二类典型判别函数的分组图中,不同浓度梯度的掺假蜂蜜能够被较好的判别。表明该方法能够快速、有效鉴别大米糖浆在洋槐蜂蜜中的掺假,具有一定可行性和实用性。
利用近紅外光譜技術(near infrared spectroscopy,NIR)併結閤化學計量學方法鑒彆洋槐蜜中摻入大米糖漿的可行性研究。以來自不同蜂場的20箇洋槐原料蜜樣品與大米糖漿混閤成7箇不同濃度梯度(10∶0,9∶1,7∶3,1∶1,3∶7,1∶9,0∶10 g·g-1)共121箇樣品為研究對象,利用近紅外光譜儀和光譜處理軟件分彆不同濃度梯度的對摻假樣品進行光譜掃描和數據轉換,併進行主成分分析(PCA),結閤典型判彆分析進行區分。結果錶明,經過主成分分析後,前2箇主成分的得分纍計貢獻率達97.23%,但摻假樣品在第一、第二主成分得分散點圖的區域劃分不明顯。用典型判彆分析進一步判彆,所有樣本均得到準確的判彆,準確率為100%,6箇典型判彆函數中前兩箇判彆函數的纍積貢獻率達到91.6%,同時在第一類和第二類典型判彆函數的分組圖中,不同濃度梯度的摻假蜂蜜能夠被較好的判彆。錶明該方法能夠快速、有效鑒彆大米糖漿在洋槐蜂蜜中的摻假,具有一定可行性和實用性。
이용근홍외광보기술(near infrared spectroscopy,NIR)병결합화학계량학방법감별양괴밀중참입대미당장적가행성연구。이래자불동봉장적20개양괴원료밀양품여대미당장혼합성7개불동농도제도(10∶0,9∶1,7∶3,1∶1,3∶7,1∶9,0∶10 g·g-1)공121개양품위연구대상,이용근홍외광보의화광보처리연건분별불동농도제도적대참가양품진행광보소묘화수거전환,병진행주성분분석(PCA),결합전형판별분석진행구분。결과표명,경과주성분분석후,전2개주성분적득분루계공헌솔체97.23%,단참가양품재제일、제이주성분득분산점도적구역화분불명현。용전형판별분석진일보판별,소유양본균득도준학적판별,준학솔위100%,6개전형판별함수중전량개판별함수적루적공헌솔체도91.6%,동시재제일류화제이류전형판별함수적분조도중,불동농도제도적참가봉밀능구피교호적판별。표명해방법능구쾌속、유효감별대미당장재양괴봉밀중적참가,구유일정가행성화실용성。
At present,the rice syrup as a low price of the sweeteners was often adulterated into acacia honey and the adulterated honeys were sold in honey markets,while there is no suitable and fast method to identify honey adulterated with rice syrup.In this study,Near infrared spectroscopy (NIR)combined with chemometric methods were used to discriminate authenticity of hon-ey.20 unprocessed acacia honey samples from the different honey producing areas,mixed?with different proportion of rice syr-up,were prepared of seven different concentration gradient?including 121 samples.The near infrared spectrum (NIR)instru-ment and spectrum processing software have been applied in the?spectrum?scanning and data conversion on adulterant sam-ples,respectively.Then it was analyzed by Principal component analysis (PCA)and canonical discriminant analysis methods in order to discriminating adulterated honey ,The results showed that after principal components analysis,the first two principal components accounted for 97.23% of total variation,but the regionalism of the score plot of the first two PCs was not obvious, so the canonical discriminant analysis was used to make the further discrimination,all samples had been discriminated correctly, the first two discriminant functions accounted for 91.6% among the six canonical discriminant functions,Then the different con-centration of adulterant samples can be discriminated correctly,it illustrate that canonical discriminant analysis method combined with NIR spectroscopy is not only feasible but also practical for rapid and effective discriminate of the rice syrup adulterant of acacia honey.