食品研究与开发
食品研究與開髮
식품연구여개발
FOOD RESEARCH AND CEVELOPMENT
2013年
16期
84-87
,共4页
康蕊%段振华%杨毅%张雄%刘怡彤%李婧怡
康蕊%段振華%楊毅%張雄%劉怡彤%李婧怡
강예%단진화%양의%장웅%류이동%리청이
电子鼻%椰肉原浆%新鲜度%货架期
電子鼻%椰肉原漿%新鮮度%貨架期
전자비%야육원장%신선도%화가기
electronic nose%coconut puree%freshness%shelf-life
利用电子鼻对不同储藏时间椰肉原浆的挥发性成分进行检测分析,试验先通过电子鼻系统动态采集椰肉原浆挥发性成分并得到电子鼻的响应值,并利用主成分分析、判别因子分析以及货架期分析等方法对挥发性成分及其储藏时间进行分析。结果表明:主成分分析与判别因子分析均能在二维平面内将不同新鲜度的椰肉原浆区分开,贡献率分别达到99.963%和99.127%。货架期分析明显体现出了椰肉原浆挥发性成分的变化趋势。综合PCA、FDA、SL曲线的分析结果,预测4℃条件下椰肉原浆的储藏期为16 d,以12 d为最佳。说明电子鼻可以有效地判定4℃条件下椰肉原浆的贮藏时间及贮藏期内挥发性成分的变化趋势。
利用電子鼻對不同儲藏時間椰肉原漿的揮髮性成分進行檢測分析,試驗先通過電子鼻繫統動態採集椰肉原漿揮髮性成分併得到電子鼻的響應值,併利用主成分分析、判彆因子分析以及貨架期分析等方法對揮髮性成分及其儲藏時間進行分析。結果錶明:主成分分析與判彆因子分析均能在二維平麵內將不同新鮮度的椰肉原漿區分開,貢獻率分彆達到99.963%和99.127%。貨架期分析明顯體現齣瞭椰肉原漿揮髮性成分的變化趨勢。綜閤PCA、FDA、SL麯線的分析結果,預測4℃條件下椰肉原漿的儲藏期為16 d,以12 d為最佳。說明電子鼻可以有效地判定4℃條件下椰肉原漿的貯藏時間及貯藏期內揮髮性成分的變化趨勢。
이용전자비대불동저장시간야육원장적휘발성성분진행검측분석,시험선통과전자비계통동태채집야육원장휘발성성분병득도전자비적향응치,병이용주성분분석、판별인자분석이급화가기분석등방법대휘발성성분급기저장시간진행분석。결과표명:주성분분석여판별인자분석균능재이유평면내장불동신선도적야육원장구분개,공헌솔분별체도99.963%화99.127%。화가기분석명현체현출료야육원장휘발성성분적변화추세。종합PCA、FDA、SL곡선적분석결과,예측4℃조건하야육원장적저장기위16 d,이12 d위최가。설명전자비가이유효지판정4℃조건하야육원장적저장시간급저장기내휘발성성분적변화추세。
An electronic nose system was used to characterize and classify the volatile component of coconut puree coming from different storage time. This method firstly sampled the volatile component composition emanating from coconut puree by the electronic nose systems and then obtained response values of the electronic nose systems. The obtained data were analyzed through principal component analysis (PCA), discriminate factor analysis (DFA) and shelf life analysis (SL).The result showed that coconut puree with different degree of freshness can be distinguished by both PCA and DFA in the two-dimensional plane , with contribution rate of 99.963%and 99.127%, respectively. The shelf life analysis could discriminate the variation in volatiles during storage. Based on the analysis results of PCA, DFA and SL, the storage period of coconut puree under 4℃is 16 d, 12 d recommend. The findings collectively indicated that the electronic nose systems can effectively discriminate the storage time of coconut puree and the variation trend of volatiles during storage.