亚洲一区欧美在线,日韩欧美视频免费观看,色戒的三场床戏分别是在几段,欧美日韩国产在线人成

蘋果汁中魯氏接合酵母早期污染的電子鼻識別研究
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

“十二五”國家科技支撐計劃項目(2012BAD31B01)


Research on Identification of Spoilage in Apple Juice Caused by Zygosaccharomyces rouxii at Early Stage Using Electronic Nose
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    通過電子鼻(Electronic nose, EN)檢測蘋果汁氣味,探索電子鼻識別蘋果汁中魯氏接合酵母早期污染的可行性。利用線性判別分析(LDA)研究電子鼻對不同污染時間蘋果汁的區(qū)分能力。運用載荷分析研究各傳感器對電子鼻早期識別魯氏接合酵母污染的貢獻。同時對蘋果汁進行感官評定分析,作為驗證電子鼻檢測性能的參考。運用偏最小二乘回歸(PLSR)分析電子鼻信號與酵母菌濃度之間的相關(guān)性,以期建立定量檢測模型。結(jié)果表明實驗菌株污染蘋果汁12h 后,對應(yīng)的酵母濃度小于200CFU/mL,電子鼻能夠識別污染樣品,而感官評定人員在這個條件下無法區(qū)分污染樣品與空白樣品。載荷分析表明S1、S2、S6、S7和S8傳感器在電子鼻識別魯氏接合酵母早期污染中起到重要作用。PLS結(jié)果表明電子鼻信號與酵母濃度之間有很好的相關(guān)性,決定系數(shù)R2分別為0.97(校正集) 和0.93(預(yù)測集),預(yù)測標(biāo)準(zhǔn)誤差分別為0.28(校正集) 和0.26(預(yù)測集)。上述結(jié)果表明利用電子鼻對蘋果汁中魯氏接合酵母早期污染進行識別預(yù)警是可行的,有望在食品微生物快速檢測領(lǐng)域得到廣泛應(yīng)用。

    Abstract:

    Spoilage spawned by Zygosaccharomyces rouxii can cause sensory defect in apple juice, which could hardly be perceived at the early stage and therefore would lead to the serious economic loss. Thus, it is essential to detect the contamination earliest to avoid costly waste of products or recalls.The present work tried to explore the feasibility of detection of the spoilage in apple juice caused by Zygosaccharomyces rouxii (Z.rouxii) at early stage through determination of flavor of apple juice by using electronic nose (EN). The ability of EN to discriminate apple juices with different contamination time was analyzed by using linear discrimination analysis (LDA) method. The contribution of each sensor to the diagnosis of the Z. rouxii\|contaminated apple juice by EN was studied using loadings analysis. Test panel evaluation was performed as a reference to validate the performance of EN technique.The correlation between electronic nose signals and yeast concentration was analyzed by partial least squares analysis (PLS) method. The results showed that EN was able to accurately identify the Z.rouxii\|contaminated apple juice after incubation for 12 h,corresponding to the fungal number of less than 200 CFU/mL, the level at which the test panel could not yet identify the spoilage.Loadings analysis indicated that sensors S1, S2, S6, S7 and S8 had the most important effect on identification of apple juice contaminated at different levels.A good correlation between sensors response signals and yeast concentration was revealed by PLS algorithm,with correlation coefficient R2 of 0.97 and 0.93 in calibration model and prediction model, respectively. The standard error of calibration and standard error of prediction were 0.28 and 0.26, respectively.These results indicate that it is feasible to detect the spoilage in apple juice caused by Z. rouxii at early stage using electronic nose, and this sensory technique is expected to be applied widely in the field of detection of foodborne microorganisms.

    參考文獻
    相似文獻
    引證文獻
引用本文

王虎玄,胡仲秋,龍芳羽,郭春鋒,袁亞宏,岳田利.蘋果汁中魯氏接合酵母早期污染的電子鼻識別研究[J].農(nóng)業(yè)機械學(xué)報,2016,47(1):209-214. Wang Huxuan, Hu Zhongqiu, Long Fangyu, Guo Chunfeng, Yuan Yahong, Yue Tianli. Research on Identification of Spoilage in Apple Juice Caused by Zygosaccharomyces rouxii at Early Stage Using Electronic Nose[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(1):209-214.

復(fù)制
分享
文章指標(biāo)
  • 點擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2015-06-04
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2016-01-10
  • 出版日期: 2016-01-10
文章二維碼