CAJ | 학술논문

目的：建立快速鉴别掺伪花生油的拉曼光谱-聚类分析方法。方法以不同产地、不同品牌的多批次花生油、大豆油、玉米油、菜籽油、葵花籽油、精炼棕榈油、精炼棉籽油及精炼地沟油为样品，在780 nm和532 nm激光光源下，扫描和比较其普通、扩展及导数拉曼光谱的形态。结果在532 nm激光光源的扩展光谱及一阶导数光谱中，花生油与低价植物油及精炼地沟油光谱的信息量最大，样品间光谱形态的差异显著，谱峰得到有效分离。基于此全波段光谱信息和形态建立的多步聚类分析模型及鉴别程序对36份不同花生油、105份不同低价植物油、30份仿冒花生油和38份不同精炼地沟油的判别正确率均为100%，对180份5%及以上的掺假花生油的判别正确率达86%以上，对75份5%及以上的掺杂花生油的判别正确率为92%，对72份5%及以上的掺杂植物油的判别正确率达92%以上。样品测量时无需制备样品及消耗化学试剂，测量和分析一份样品仅耗时5 min左右。结论所建立的拉曼光谱-聚类分析模型既可准确鉴定花生油，还可准确鉴定各种类型的掺伪花生油，可实现对掺伪花生油的快速、无损和准确鉴别。
목적：건립쾌속감별참위화생유적랍만광보-취류분석방법。방법이불동산지、불동품패적다비차화생유、대두유、옥미유、채자유、규화자유、정련종려유、정련면자유급정련지구유위양품，재780 nm화532 nm격광광원하，소묘화비교기보통、확전급도수랍만광보적형태。결과재532 nm격광광원적확전광보급일계도수광보중，화생유여저개식물유급정련지구유광보적신식량최대，양품간광보형태적차이현저，보봉득도유효분리。기우차전파단광보신식화형태건립적다보취류분석모형급감별정서대36빈불동화생유、105빈불동저개식물유、30빈방모화생유화38빈불동정련지구유적판별정학솔균위100%，대180빈5%급이상적참가화생유적판별정학솔체86%이상，대75빈5%급이상적참잡화생유적판별정학솔위92%，대72빈5%급이상적참잡식물유적판별정학솔체92%이상。양품측량시무수제비양품급소모화학시제，측량화분석일빈양품부모시5 min좌우。결론소건립적랍만광보-취류분석모형기가준학감정화생유，환가준학감정각충류형적참위화생유，가실현대참위화생유적쾌속、무손화준학감별。
Objective To establish a Raman spectrum-cluster analysis for rapid detection of adulterated peanut oil. Methods The shapes of ordinary, extended and the 1st derivative Raman spectra were scanned and compared, based on the multiple batches of peanut oil, soybean oil, corn oil, rape seed oil, sunflower seed oil, refined palm oil, refined cotton seed oil and refined bio-waste oil with various producing locations and brands, under both 780 nm and 532 nm laser sources. Results The extended and the 1st derivative Raman spectra under 532 nm showed the most abundant spectral information and significantly distinct patterns among peanut oil, low-price vegetable oil and bio-waste oil. A multi-step model and identification program of Raman spectrum--cluster analysis was developed on full-range spectra information and patterns. The discriminate rate was 100%for 36 peanut oils, 105 low-price vegetable oils, 30 counterfeit peanut oils and 38 refined bio-waste oils. The discriminate rates were 86%, 92%and 92%, respectively, for 180 peanut oils mixed with at least 5%low-price vegetable oil, 75 peanut oils mixed with at least 5%bio-waste oil, and 72 vegetable oils mixed with at least 5%bio-waste oil. The measurement process required neither sample preparation nor chemical reagent consumption, and the time cost was 5 min for each sample. Conclusion This Raman spectrum-cluster analysis model can identify the peanut oil as well as kinds of adulterated peanut oil in a rapid, non-destructive and accurate way.