毛白杨回交子代材性的近红外光谱分析研究
摘要
近红外光谱技术是一类新型的分析技术,可以方便、快速、无损地对木材性质进行分析和预测。结合样品的化学测量值和谱图,运用OPUS软件建立各组分含量的近红外光谱模型,为制浆造纸工业原料的材性测定提供一个新的方法。论文研究的结果如下:
(1)综合考虑化学组成、纤维形态和树木的生长状况,株号6、株号125和株号127综纤维素含量在82%以上,木素含量低于17%,纤维长度均较长,长宽比在37以上,且这三株的地径、胸径大,建议可作为今后造纸林无性系培育对象,加以推广种植。
(2)冷水抽出物、灰分的均方差系数RMSECV值很小(分别为0.104和0.019),确定系数R2分别为98.44%和96.35%,化学测量值与近红外值存在很好的相关性,今后可以应用该模型快速预测冷水抽出物、灰分含量。
(3)热水抽出物、1%NaOH抽出物、苯醇抽出物、综纤维素、a-纤维素的均方差系数RMSECV值在0.18～0.30,虽然不如冷水抽出物、灰分的结果理想,但确定系数R~2分别都很高,说明这五个组分含量与近红外光谱数据间存在较好的相关性,今后可以应用该模型快速预测其组分含量。
(4)木素的均方差系数RMSECV为0.370,木素的确定系数R~2仅达到89.92%,说明木素含量与近红外光谱数据间的相关性较差,模型需要进一步的完善。
(5)木粉粗细对近红外光光谱预测结果有影响,40-60目的预测效果最好。
Near infrared(NIR)spectroscopy is an advanced analysis tecknique,it can analyze and forecast the wood properties easily,rapidly and non-destructively.Combined with chemical measurements of samples and spectra,using software OPUS6.5 to establish the near-infrared spectroscopy models of each component,which is a way to measure the wood properties of raw materials for pulp and paper industry.
The main results of this dissertation were as follows:
(1)Considering the chemical composition,fiber morphology and growth conditions of trees,for its' comprehensive cellulose content were above 82%,the content of lignin were less than 17%,longer fiber length,more than 37 of length-width radio and large diameter,no.6,no.125, no.127 can be used as nurturing objects of clone cultivated to promote the cultivation.
(2)The RMSECV of the NIR model of cold water extract and ash were very small(0.104 and 0.019,respectively),the R2of which were 96.35%and 98.44%,so,the chemical measurements and NIR predictive values of the samples had good relevances and the models can be used to predict the content of cold water extract and ash.
(3)The RMSECV of hot water extract,1%NaOH extract,benzene extract alcohol,Comprehensive cellulose,a-cellulose were in 0.18～0.30,although not as good as cold water extract and ash, the R~2 were higher,these noted that the chemical measurements and NIR predictive values of the samples had good relevances and the models can be used to predict the content of component contents.
(4)The RMSECV of the NIR lignin model was 0.370,and its' R~2 was only reached 89.92%,for its poor relevance of the chemical measurements and NIR predictive values,this model needed to further improve.
(5)The wood particle sizes can impact the NIR predictive values,so the samples should be prepared in accordance with the GB method in order to get accurate results
(1)综合考虑化学组成、纤维形态和树木的生长状况,株号6、株号125和株号127综纤维素含量在82%以上,木素含量低于17%,纤维长度均较长,长宽比在37以上,且这三株的地径、胸径大,建议可作为今后造纸林无性系培育对象,加以推广种植。
(2)冷水抽出物、灰分的均方差系数RMSECV值很小(分别为0.104和0.019),确定系数R2分别为98.44%和96.35%,化学测量值与近红外值存在很好的相关性,今后可以应用该模型快速预测冷水抽出物、灰分含量。
(3)热水抽出物、1%NaOH抽出物、苯醇抽出物、综纤维素、a-纤维素的均方差系数RMSECV值在0.18～0.30,虽然不如冷水抽出物、灰分的结果理想,但确定系数R~2分别都很高,说明这五个组分含量与近红外光谱数据间存在较好的相关性,今后可以应用该模型快速预测其组分含量。
(4)木素的均方差系数RMSECV为0.370,木素的确定系数R~2仅达到89.92%,说明木素含量与近红外光谱数据间的相关性较差,模型需要进一步的完善。
(5)木粉粗细对近红外光光谱预测结果有影响,40-60目的预测效果最好。
Near infrared(NIR)spectroscopy is an advanced analysis tecknique,it can analyze and forecast the wood properties easily,rapidly and non-destructively.Combined with chemical measurements of samples and spectra,using software OPUS6.5 to establish the near-infrared spectroscopy models of each component,which is a way to measure the wood properties of raw materials for pulp and paper industry.
The main results of this dissertation were as follows:
(1)Considering the chemical composition,fiber morphology and growth conditions of trees,for its' comprehensive cellulose content were above 82%,the content of lignin were less than 17%,longer fiber length,more than 37 of length-width radio and large diameter,no.6,no.125, no.127 can be used as nurturing objects of clone cultivated to promote the cultivation.
(2)The RMSECV of the NIR model of cold water extract and ash were very small(0.104 and 0.019,respectively),the R2of which were 96.35%and 98.44%,so,the chemical measurements and NIR predictive values of the samples had good relevances and the models can be used to predict the content of cold water extract and ash.
(3)The RMSECV of hot water extract,1%NaOH extract,benzene extract alcohol,Comprehensive cellulose,a-cellulose were in 0.18～0.30,although not as good as cold water extract and ash, the R~2 were higher,these noted that the chemical measurements and NIR predictive values of the samples had good relevances and the models can be used to predict the content of component contents.
(4)The RMSECV of the NIR lignin model was 0.370,and its' R~2 was only reached 89.92%,for its poor relevance of the chemical measurements and NIR predictive values,this model needed to further improve.
(5)The wood particle sizes can impact the NIR predictive values,so the samples should be prepared in accordance with the GB method in order to get accurate results
引文
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