农业工程学报
農業工程學報
농업공정학보
2010年
3期
243-248
,共6页
宁井铭%张正竹%谷勋刚%宛晓春%孙文通
寧井銘%張正竹%穀勛剛%宛曉春%孫文通
저정명%장정죽%곡훈강%완효춘%손문통
高效液相色谱法%农产品%品质控制%制茶工程%晒青毛茶%指纹图谱
高效液相色譜法%農產品%品質控製%製茶工程%曬青毛茶%指紋圖譜
고효액상색보법%농산품%품질공제%제다공정%쇄청모다%지문도보
high performance liquid chromatography%agricultural products%quality control%tea process engineering%Pu'er raw tea%fingerprint
为了对不同产地的晒青毛茶进行鉴别,研究了晒青毛茶高效液相色谱指纹图谱的不同识别方法.运用相关系数、夹角余弦和重叠率3种方法分别计算指纹图谱的相似度,以数字化指纹图谱为基础,对样品进行了系统聚类,分析了18个茶叶样品的主成分,并以前2个主成分作二维散点图.结果表明,3种方法均能准确地体现指纹图谱的相似程度,使毛茶与绿茶得到良好的分离;茶叶内含成分复杂,主成分较多,7个主成分累计贡献率为88.61%,系统聚类和二维排序散布图能够区分晒青毛茶和绿茶,具有简便、直观的特点.4种识别模式均能较好地对指纹图谱进行识别,为普洱茶原料鉴别和质量控制提供新的试验依据.
為瞭對不同產地的曬青毛茶進行鑒彆,研究瞭曬青毛茶高效液相色譜指紋圖譜的不同識彆方法.運用相關繫數、夾角餘絃和重疊率3種方法分彆計算指紋圖譜的相似度,以數字化指紋圖譜為基礎,對樣品進行瞭繫統聚類,分析瞭18箇茶葉樣品的主成分,併以前2箇主成分作二維散點圖.結果錶明,3種方法均能準確地體現指紋圖譜的相似程度,使毛茶與綠茶得到良好的分離;茶葉內含成分複雜,主成分較多,7箇主成分纍計貢獻率為88.61%,繫統聚類和二維排序散佈圖能夠區分曬青毛茶和綠茶,具有簡便、直觀的特點.4種識彆模式均能較好地對指紋圖譜進行識彆,為普洱茶原料鑒彆和質量控製提供新的試驗依據.
위료대불동산지적쇄청모다진행감별,연구료쇄청모다고효액상색보지문도보적불동식별방법.운용상관계수、협각여현화중첩솔3충방법분별계산지문도보적상사도,이수자화지문도보위기출,대양품진행료계통취류,분석료18개다협양품적주성분,병이전2개주성분작이유산점도.결과표명,3충방법균능준학지체현지문도보적상사정도,사모다여록다득도량호적분리;다협내함성분복잡,주성분교다,7개주성분루계공헌솔위88.61%,계통취류화이유배서산포도능구구분쇄청모다화록다,구유간편、직관적특점.4충식별모식균능교호지대지문도보진행식별,위보이다원료감별화질량공제제공신적시험의거.
Different recognition methods of the fingerprint for solar dried Pu'er raw tea was investigated based on their high performance liquid chromatography (HPLC) profiles, in order to identify Pu'er raw tea from different places. Similarity of the fingerprint was calculated by comparing their HPLC profiles using three methods, namely correlation coefficient, angle cosine and overlap rate, respectively. Based on the digitalized fingerprint, tea samples were systematically clustered. The main components of 18 tea samples were analyzed, in which the former two main components were employed to plot a two-dimensional scatter map. The results showed that each of the three employed methods could reflect the similarity of the fingerprint accurately, by which solar dried Pu'er raw tea could be well identified from green tea. Although the component of tea sample is complicated and the main component is rich, the selected seven main components contributed 88.61% of the total. Solar dried Pu'er raw tea samples could be distinguished obviously from green tea samples by using method of either systematic clustering or two-dimensional map. The recognition modes described could not only provide an identification method for fingerprints, but also provide an experimental foundation for quality control of raw material for Pu'er tea.