GC-MS鉴别木材影响因素的研究进展
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摘要
对GC-MS鉴别木材的影响因素进行综述,分别对该技术的进样方式、进样萃取溶剂、以及木材总离子流图的统计分析方法进行归纳与总结。应用于GC-MS鉴别木种的进样方式包括直接导入进样及间接导入进样,间接导入进样使用的萃取溶剂需要同时满足溶剂的极性强、安全性高、经济性好,并且利于维护设备,GC-MS鉴别木材得出的总离子流图的统计分析方法主要是主成分分析法及相关系数法。GC-MS作为一种先进的分析技术应用于木种鉴别领域,具有灵敏度高、快捷、高效等优势,本研究通过总结分析该技术的影响因素与研究进展状况,对GC-MS应用于木材鉴别具有理论与实践指导意义。
This study reviewed the influencing factors of wood identification by GC-MS, and summarized the sample inject method, the solvent used to extract the sample and the statistical analysis method of total ion current map of wood. The methods used to identify wood species by GC-MS include direct injection and indirect injection. The solvent used to extract the sample during indirect injection needed to satisfy the strong polarity, high safety, good economy, and conducived to equipment maintenance. The statistical analysis methods for the total ion current map for wood identification by GC-MS are to analyze the main components and the correlation coefficient of total ion current map of wood. As an advanced analytical technique, GC-MS is applied in the field of wood species identification. It has the advantages of high sensitivity, rapidity, and high efficiency. This study summarized and analyzed the research progress on the influencing factors of wood species identified by GC-MS, which has theoretical and practical significance.
This study reviewed the influencing factors of wood identification by GC-MS, and summarized the sample inject method, the solvent used to extract the sample and the statistical analysis method of total ion current map of wood. The methods used to identify wood species by GC-MS include direct injection and indirect injection. The solvent used to extract the sample during indirect injection needed to satisfy the strong polarity, high safety, good economy, and conducived to equipment maintenance. The statistical analysis methods for the total ion current map for wood identification by GC-MS are to analyze the main components and the correlation coefficient of total ion current map of wood. As an advanced analytical technique, GC-MS is applied in the field of wood species identification. It has the advantages of high sensitivity, rapidity, and high efficiency. This study summarized and analyzed the research progress on the influencing factors of wood species identified by GC-MS, which has theoretical and practical significance.
引文
[1]戴上千,侯茂章,戴向东.消费升级背景下的高档家具消费趋势[J].林产工业, 2017, 44(9):37-40.
[2]GB/T 29894—2013木材鉴别方法通则[S].北京:中国标准出版社,2014.
[3]杨柳,方崇荣,张建,等.气质联用鉴别降香黄檀与越南香枝的研究[J].南京林业大学学报(自然科学版), 2016, 1(1):97-103.
[4]周佳璐,丛培盛,汤桂林,等.利用气质联用技术对木材进行分类和鉴别[J].建筑材料学报, 2006, 9(1):36-40.
[5]朱涛,林金国.气相色谱质谱联用技术在木材识别中的应用[J].木材工业, 2017, 31(2):57-59.
[6]杨伟明,杨柳.顶空/气质联用法鉴别交趾黄檀与微凹黄檀[J].浙江林业科技, 2013, 33(7):29-33.
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[10]张洁,夏兆鹏,袁鹏飞,等.大果紫檀和奥氏黄檀乙醇低毒微损鉴别[J].西南林业大学学报, 2015, 35(8):75-80.
[11]王天石,时浩,陶相宇,等.基于GC-MS技术的桢楠化学辅助鉴定[J].东北林业大学学报, 2017, 45(6):57-60.
[12]刘顺治,李清芸,林金国,等.基于抽提液成分分析的黄檀属和紫檀属红木的鉴别[J].西北林学院学报, 2016, 31(2):264-267.
[13]陈辉.几种紫檀属木材内含物的比较研究[D].南京:南京林业大学,2015.
[14]杨柳,方崇荣,王增,等.檀香紫檀可挥发性成分对其材种鉴定的初步研究[J].浙江林业科技, 2013, 33(1):40-43.
[15]李全城.大果紫檀红木铣削加工特性研究[J].林产工业, 2018, 45(12):6.
[16]朱涛.基于GC-MS技术不同进样方式的红木识别研究及其指纹图谱构建[D].合肥:安徽农业大学, 2013.
[17]罗莎.四种红木抽提物的FTIR与GC-MS指纹图谱鉴别研究[D].长沙:中南林业科技大学, 2013.
[18]翟阳洋.木材抽提物分布规律的研究[D].南京:南京林业大学, 2017.
[2]GB/T 29894—2013木材鉴别方法通则[S].北京:中国标准出版社,2014.
[3]杨柳,方崇荣,张建,等.气质联用鉴别降香黄檀与越南香枝的研究[J].南京林业大学学报(自然科学版), 2016, 1(1):97-103.
[4]周佳璐,丛培盛,汤桂林,等.利用气质联用技术对木材进行分类和鉴别[J].建筑材料学报, 2006, 9(1):36-40.
[5]朱涛,林金国.气相色谱质谱联用技术在木材识别中的应用[J].木材工业, 2017, 31(2):57-59.
[6]杨伟明,杨柳.顶空/气质联用法鉴别交趾黄檀与微凹黄檀[J].浙江林业科技, 2013, 33(7):29-33.
[7]杨柳,方崇荣,于海霞,等.顶空/气质联用鉴别交趾黄檀与微凹黄檀[J].中南林业科技大学学报, 2013, 33(12):151-156.
[8]王增,吴翠蓉,于海霞,等.基于GC/MS鉴别真伪檀香紫檀的研究[J].林产加工与利用, 2015, 2(29):87-89.
[9]李艳艳,孙多久,朱仲良,等.基于气相色谱-主成分分析的红木分类识别方法研究[J].计算机与应用化学, 2010, 27(2):237-239.
[10]张洁,夏兆鹏,袁鹏飞,等.大果紫檀和奥氏黄檀乙醇低毒微损鉴别[J].西南林业大学学报, 2015, 35(8):75-80.
[11]王天石,时浩,陶相宇,等.基于GC-MS技术的桢楠化学辅助鉴定[J].东北林业大学学报, 2017, 45(6):57-60.
[12]刘顺治,李清芸,林金国,等.基于抽提液成分分析的黄檀属和紫檀属红木的鉴别[J].西北林学院学报, 2016, 31(2):264-267.
[13]陈辉.几种紫檀属木材内含物的比较研究[D].南京:南京林业大学,2015.
[14]杨柳,方崇荣,王增,等.檀香紫檀可挥发性成分对其材种鉴定的初步研究[J].浙江林业科技, 2013, 33(1):40-43.
[15]李全城.大果紫檀红木铣削加工特性研究[J].林产工业, 2018, 45(12):6.
[16]朱涛.基于GC-MS技术不同进样方式的红木识别研究及其指纹图谱构建[D].合肥:安徽农业大学, 2013.
[17]罗莎.四种红木抽提物的FTIR与GC-MS指纹图谱鉴别研究[D].长沙:中南林业科技大学, 2013.
[18]翟阳洋.木材抽提物分布规律的研究[D].南京:南京林业大学, 2017.