光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
12期
3277-3280
,共4页
杨凯%蔡嘉月%张朝平%束茹欣%梁淼%赵龙莲%张录达%张晔晖%李军会
楊凱%蔡嘉月%張朝平%束茹訢%樑淼%趙龍蓮%張錄達%張曄暉%李軍會
양개%채가월%장조평%속여흔%량묘%조룡련%장록체%장엽휘%리군회
烟叶%部位%近红外光谱
煙葉%部位%近紅外光譜
연협%부위%근홍외광보
Tobacco%Site features%Near-infrared
以自2003年至2012年在国内外主要烤烟产地收集的5170个烟叶样品的近红外光谱为试验对象,其中典型上部烟叶光谱1394条,中部2550条,下部1226条;应用基于主成分及Fisher准则(PPF)的方法建立投影分析模型,遵循相邻主成分数下得到的投影结果没有显著性差异和主成分个数尽量少的原则,推荐主成分数为4下建立投影分析模型,模型结果表明:上、下部烟叶的近红外光谱特征具有显著差别,基本实现完全区分;而中部烟叶分别与上部和下部具有一定程度重叠,这与部位本身具有连续性特征的实际情况相符合。同时,依据模型得到的预测样品投影值与模型中各类投影均值之间的欧氏距离,对预测样品给出最近和次近类别及描述部位特征程度的量化分值,并结合模型中各类投影值的离散度以及设定的阈值,将预测结果细化为典型上、上偏中、中偏上、典型中、中偏下、下偏中、典型下等7类或超模型范围样品;应用2012年在实际复烤生产加工中取得的不同部位、不同产地的34个烟叶样品验证了分析结果的合理性。该种分析方式,不仅可以实现预测样品的判别分析,而且可得到关于预测样品更丰富的属性特征信息,可对烟草工业企业实现原料的均值化加工和烟叶配方等提供指导。
以自2003年至2012年在國內外主要烤煙產地收集的5170箇煙葉樣品的近紅外光譜為試驗對象,其中典型上部煙葉光譜1394條,中部2550條,下部1226條;應用基于主成分及Fisher準則(PPF)的方法建立投影分析模型,遵循相鄰主成分數下得到的投影結果沒有顯著性差異和主成分箇數儘量少的原則,推薦主成分數為4下建立投影分析模型,模型結果錶明:上、下部煙葉的近紅外光譜特徵具有顯著差彆,基本實現完全區分;而中部煙葉分彆與上部和下部具有一定程度重疊,這與部位本身具有連續性特徵的實際情況相符閤。同時,依據模型得到的預測樣品投影值與模型中各類投影均值之間的歐氏距離,對預測樣品給齣最近和次近類彆及描述部位特徵程度的量化分值,併結閤模型中各類投影值的離散度以及設定的閾值,將預測結果細化為典型上、上偏中、中偏上、典型中、中偏下、下偏中、典型下等7類或超模型範圍樣品;應用2012年在實際複烤生產加工中取得的不同部位、不同產地的34箇煙葉樣品驗證瞭分析結果的閤理性。該種分析方式,不僅可以實現預測樣品的判彆分析,而且可得到關于預測樣品更豐富的屬性特徵信息,可對煙草工業企業實現原料的均值化加工和煙葉配方等提供指導。
이자2003년지2012년재국내외주요고연산지수집적5170개연협양품적근홍외광보위시험대상,기중전형상부연협광보1394조,중부2550조,하부1226조;응용기우주성분급Fisher준칙(PPF)적방법건립투영분석모형,준순상린주성분수하득도적투영결과몰유현저성차이화주성분개수진량소적원칙,추천주성분수위4하건립투영분석모형,모형결과표명:상、하부연협적근홍외광보특정구유현저차별,기본실현완전구분;이중부연협분별여상부화하부구유일정정도중첩,저여부위본신구유련속성특정적실제정황상부합。동시,의거모형득도적예측양품투영치여모형중각류투영균치지간적구씨거리,대예측양품급출최근화차근유별급묘술부위특정정도적양화분치,병결합모형중각류투영치적리산도이급설정적역치,장예측결과세화위전형상、상편중、중편상、전형중、중편하、하편중、전형하등7류혹초모형범위양품;응용2012년재실제복고생산가공중취득적불동부위、불동산지적34개연협양품험증료분석결과적합이성。해충분석방식,불부가이실현예측양품적판별분석,이차가득도관우예측양품경봉부적속성특정신식,가대연초공업기업실현원료적균치화가공화연협배방등제공지도。
In this paper ,total of 5 170 flue-cured tobacco samples collected from 2003 to 2012 in the domestic and foreign origin by Shanghai Tobacco Group Technical Center were tested by near infrared spectroscopy ,including the typical upper leaves 1 394 ,central 2 550 ,the lower part of 1 226 .Using projection model of based on principal component and Fisher criterion (PPF) ,follow the projected results to get no statistically significant differences at adjacent principal components ,and the num-ber of principal components as little as possible ,in this paper ,four main components to build projection analysis model , the model results show that :the near-infrared spectral characteristics of the upper and lower leaves have a significant difference that can be achieved almost entirely distinguished ;while the middle leaves with upper and lower have a certain degree of overlap , which is consistent to the actual situation of the continuity of tobacco leaf .At the same time ,Euclidean distance between the predicted sample projection values and the mean projection values of each class in the model ,a description is given for the predic-tion samples to quantify the extent of the site features ,and its first and second close categories .Using the dispersion of projected values in model and the given threshold value ,prediction results can be refined into typically upper ,upper to central ,central to upper ,typical central ,central to the lower ,the lower to central ,typically the lower ,or super-model range .The model was vali-dated by 34 tobacco samples obtained from the re-drying process in 2012 with different origins and parts .This kind of analysis methods ,not only can achieve discriminant analysis ,and get richer feature attribute information ,can provide guidance on the raw tobacco processing and formulations .