該文章用iNose電子鼻進行實驗，開展了如下實驗。 【摘要】本研究(jiu)旨在(zai)開(kai)發一種基于電子鼻和電子舌試驗及其組合的快速(su)簡便的方法來(lai)追蹤在(zai)中國種(zhong)植的黑果(guo)枸杞（LRM）的地理來源，收獲年份(fen)和品(pin)種。應用主成(cheng)分(fen)分(fen)析（PCA）和線性判(pan)別分(fen)析（LDA）進行定(ding)性(xing)分類和(he)定(ding)量預測。結(jie)果表明：電子鼻和電子舌的測定及其組合未能識別LRM的收(shou)獲年份和種類(lei)，但(dan)是在追蹤LRM地理來源方面取得了可靠(kao)的結果(guo)，總分(fen)類能力分(fen)別為86.4％，86.8％和92.6％。除此之外，與儀器分(fen)析(xi)或傳(chuan)統方(fang)法(fa)(fa)如化學分(fen)析(xi)方(fang)法(fa)(fa)和感(gan)官評估相比，分析程序需要更短的時間和更少的化學試劑。這項研究表明，多變量統計分析結合電子鼻和電子舌測定可能是一個可靠簡(jian)便的追蹤(zong)LRM地(di)理(li)起源(yuan)的方法。 【關鍵詞】電子(zi)鼻(bi)；氣(qi)味(wei)指紋分(fen)析(xi)系統(tong)(tong)；氣(qi)體(ti)分(fen)析(xi)儀；質構儀；電子(zi)舌(she)；氣(qi)味(wei)分(fen)析(xi)儀；離子(zi)遷移譜；生物芯片；3D打印機；肉嫩(nen)度儀；物性測試儀；凝膠強度測定儀；微量過濾(lv)系統(tong)(tong) 【ABSTRACT】：This study aims to develop a fast and simple method to trace the geographical origins, harvest years and varieties of Lycium ruthenicum Murray (LRM) grown in China by employing e-nose and e-tongue assays and their combination. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied for qualitative classification and quantitative prediction. The results showed that e-nose and e-tongue assays and their combination failed to recognize harvest years and varieties of LRM, but achieved reliable results for tracing LRM geographical origins with a total classification ability of 86.4%, 86.8% and 92.6% respectively. In addition, the analysis procedure required shorter time and less chemical reagents as compared to high-end instrumental analysis or traditional methods like chemical analytical methods and sensory evaluation. This study demonstrated that the m*riate statistical analysis combined with e-nose and e-tongue assays could be a reliable and simplified method of tracing the geographical origins of LRM。 |
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