CAJ | 학술논문

通过常规理化指标和现代电子舌味觉指纹分析技术甄别来自5种不同产地的棕榈油。结果显示：通过传统的常规理化指标不能有效区分不同产地的棕榈油；通过使用电子舌味觉指纹分析技术及主成分和判别因子数据分析，优化传感器后识别指数为95分(满分100分)，验证得分为100分(满分100分)；通过5种不同产地棕榈油样品之间的相似性分析也发现，绝大部分的指纹分辨指数高于98%。研究表明，通过电子舌味觉指纹分析技术可有效定性检测和甄别不同产地的棕榈油。
통과상규이화지표화현대전자설미각지문분석기술견별래자5충불동산지적종려유。결과현시：통과전통적상규이화지표불능유효구분불동산지적종려유；통과사용전자설미각지문분석기술급주성분화판별인자수거분석，우화전감기후식별지수위95분(만분100분)，험증득분위100분(만분100분)；통과5충불동산지종려유양품지간적상사성분석야발현，절대부분적지문분변지수고우98%。연구표명，통과전자설미각지문분석기술가유효정성검측화견별불동산지적종려유。
The palm oils from five different origins were identified by conventional physicochemical indica-tors and modern electronic tongue technology. The results revealed that the palm oils from different ori-gins could not be effectively identified by conventional physicochemical indicators. The recognition index and the test score of the palm oils from five different origins were 95 points ( out of 100 points) and 100 points ( out of 100 points) respectively using electronic tongue technology, principal component analysis ( PCA) and discriminant factor analysis ( DFA) after sensors optimization. In addition, most of the fin-gerprint identification indexes were above 98% in the similarity analysis of the palm oils from five differ-ent origins. The research indicated that the palm oils from different origins could be effectively qualitively detected and identified by electronic tongue technology.