[1]文娟,赵鹏飞,黎贵卿.无人机吸附和人工剪枝采样的杉木挥发物成分分析[J].江苏林业科技,2023,50(01):36-40.[doi:10.3969/j.issn.1001-7380.2023.01.007]
　Wen Juan,Zhao Pengfei,Li Guiqing.Volatile analysis of Cunninghamia lanceolata based on UAV and manual sampling[J].Journal of Jiangsu Forestry Science &Technology,2023,50(01):36-40.[doi:10.3969/j.issn.1001-7380.2023.01.007]
点击复制

无人机吸附和人工剪枝采样的杉木挥发物成分分析()
分享到：

《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第50卷
期数:
2023年01期
页码:
36-40
栏目:
试验研究
出版日期:
2023-03-05

文章信息/Info

Title:
Volatile analysis of Cunninghamia lanceolata based on UAV and manual sampling
文章编号:
1001-7380（2023）01-0036-05
作者:
文娟1; 赵鹏飞2; 黎贵卿2
1.广西壮族自治区森林资源与生态环境监测中心，广西 南宁 530028；
2.广西壮族自治区林业科学研究院，广西 南宁 530002
Author(s):
Wen Juan1; Zhao Pengfei2; Li Guiqing2
1.Guangxi Forest Resources and Environment Monitoring Center, Nanning 530028, China;
2.Guangxi Zhuang Autonomous Region Forestry Research Institute, Nanning 530002, China
关键词:
杉木; 无人机采样; 人工采样; 挥发物; 分析
Keywords:
Cunninghamia lanceolata;  Unmanned aerial vehicle sampling;  Manual sampling;  Volatile;  Analysis
分类号:
O62；S727.5；S791.27
DOI:
10.3969/j.issn.1001-7380.2023.01.007
文献标志码:
A
摘要:
为了分析无人机和人工采样2种方式获取的杉木挥发物出峰规律和物质种类,利用无人机搭载气体采样管和人工剪枝叶的方法，结合热脱附、热解析技术和GC-MS检测技术，对2种采样方式的杉木挥发物进行分析鉴定。结果如下：2种采样方式获得的杉木挥发物鉴定为40种，有2种相同物质。其中无人机采样鉴定的杉木挥发物23种，物质出峰的保留时间主要集中在20 min之后，物质种类数量占比78.3%；人工采样的杉木挥发物19种，保留时间前20 min物质出峰数量占总出峰数量的84.2%以上。2种采样方式的杉木挥发物归属以下6个大类：烷烃、苯、萜烯、酯、醇和醛类，人工采样的杉木含有萜烯、醇和醛类等3大类18种药理性挥发物，较无人机采样的种类多，无人机采样含有植株自我防护性物质烷烃的种类数量较人工采样多。上述结论阐述了不同采样方式获取的杉木挥发性化合物种类，为森林康养提供了重要的基础数据。
Abstract:
In order to analyze the peak law and substance types of volatile matter from Cunninghamia lanceolata obtained by unmanned aerial vehicle (UAV) and manual sampling, the volatile matter with two sampling methods was identified by UAV carrying gas sampling tube and manually cutting branches and leaves combined with thermal desorption, thermal analysis technology and GC-MS detection technology. The results were found that 40 kinds of volatile matter obtained by two sampling methods were identified, among them two kinds were the same. 23 kinds sampled and identified by UAVs, with the retention time of the peak of the substances mainly concentrated after 20 min, and the number of substances accounting for 78.3%; In 19 kinds sampled artificially, the amount of material peaks in the first 20 minutes of retention time accounted for more than 84.2% of the total amount of peaks. The volatiles from the two sampling methods belong to the following six categories: alkanes, benzene, terpenes, esters, alcohols and aldehydes. Cunninghamia lanceolata sampled manually contains 18 kinds of pharmacological volatiles from three categories, such as terpenes, alcohols and aldehydes, more than those sampled by UAVs. The number of alkanes containing plant self-protective substances sampled by UAVs was more than that sampled manually.

参考文献/References:

[1]陈梅琴.杉木叶插枝技术优化及光自氧微繁殖技术在杉木叶插中的应用研究[D]. 福州:福建农林大学,2015.
[2]郄光发,王成,彭镇华.森林生物挥发性有机物释放速率研究进展[J].应用生态学报,2005,16(6):1151-1155.
[3]孙启祥,彭镇华,张齐生.自然状态下杉木木材挥发物成分及其对人体身心健康的影响[J].安徽农业大学学报,2004,31(2):158-163.
[4]赖略,徐金柱,秦长生,等.杉木叶片挥发物中对雀丽毒蛾的活性成分鉴定[J].林业与环境科学,2022,38(6):23-28.
[5]雒朝辉.基于无人机的森林火情监测与路径规划研究[D]. 西安:西安理工大学,2021.
[6]白旭乾.采样尺度对无人机多光谱遥感监测土壤含水率的影响研究[D].杨凌:西北农林科技大学,2022.
[7]史洁青.无人机影像森林资源调查系统设计及试验研究[D].北京:北京林业大学,2018.
[8]李兴杰.无人机技术在林业中的应用浅析[J].南方农业,2022,16(1):129-131.
[9]何诚,张明远,杨光,等.无人机搭载普通相机林火识别技术研究[J].林业机械与木工设备,2015,43(4):27-30.
[10]苏纯兰,朱韦光,严朝东,等.基于激光雷达的东莞常绿阔叶林结构参数提取与生物量估算[J].热带林业,2022,50(2):4-9.
[11]付虹雨,赵亮,王辉,等.基于无人机可见光遥感的苎麻冠层氮素营养动态诊断[J].中国麻叶科学,2021,43(3):114-121.
[12]姚小敏.基于无人机的空气 CO2浓度实时监测技术及系统研究[D].杨凌:西北农林科技大学,2020.
[13]常明山,郝建,文娟,等.荔枝异形小卷蛾危害的格木挥发物物质差异分析[J].广西林业科学,2021,50(5):570-574.
[14]吴耀军,常明山,黎贵倾,等.桉叶挥发物变化及桉树枝瘿姬小蜂趋性反应[J].森林与环境学报,2015,35(1):38-44.
[15]马清芝.竹材高品位资源化利用途径分析研究[D]. 长沙:中南林业科技大学,2011.
[16]孔德龙,梁永婵,曹春雷,等. 5种黄檀属植物挥发物成分分析[J].江苏农业科学,2020,48(12):197-203.
[17]莫圣书,赵冬香,陈青.植物挥发物与昆虫行为关系研究进展[J].热带农业科学,2006,26(6): 84-89,93.
[18]姚雪,张少艾.新世纪农业丛书：芳香植物[M]. 上海:上海教育出版社2002.
[19]金紫霖,张启翔,潘会堂,等.芳香植物的特性及对人体健康的作用[J]. 湖北农业科学,2009,48(5):1245-1247.
[20]郭娜,高建花,刘明秀,等.蓼科7种植物叶表皮蜡质晶体形态及其正烷烃分布特征[J].草地学报,2013,21(6):1194-1199.

相似文献/References:

[1]韦颖文,覃 静*,吴幼媚,等.杉木实生及无性系人工林生长规律的研究[J].江苏林业科技,2016,43(03):1.[doi:10.3969/j.issn.1001-7380.2016.03.001]
　WEI Ying-wen,QIN Jing*,WU You-mei,et al.Growth comparison of seedling and clonal trees of Cunninghamia lanceolata[J].Journal of Jiangsu Forestry Science &Technology,2016,43(01):1.[doi:10.3969/j.issn.1001-7380.2016.03.001]
[2]洪宜聪.杉木闽粤栲混交林分特征与水土保持功能研究[J].江苏林业科技,2016,43(05):18.[doi:10.3969/j.issn.1001-7380.2016.05.004]
　HONG Yi-cong.Study on the characteristics and function of soil and water conservation of Cunninghamia lanceolata and Castanopsis fissa mixed forest[J].Journal of Jiangsu Forestry Science &Technology,2016,43(01):18.[doi:10.3969/j.issn.1001-7380.2016.05.004]
[3]李天生.微生物菌肥对杉木第3代幼苗生长特征的影响[J].江苏林业科技,2019,46(02):7.[doi:10.3969/j.issn.1001-7380.2019.02.002]
[4]严志伟,黄文斌,许梅,等.高海拔杉木林下蓝莓扦插繁育技术研究[J].江苏林业科技,2019,46(02):22.[doi:10.3969/j.issn.1001-7380.2019.02.006]
[5]朱相雄,毛达民,何昕泽.抚育对生态公益林区杉木林分生长量的影响[J].江苏林业科技,2020,47(04):36.[doi:10.3969/j.issn.1001-7380.2020.04.009]
[6]李清源.不同光照和温度处理对杉木种子萌发的影响[J].江苏林业科技,2021,48(01):33.[doi:10.3969/j.issn.1001-7380.2021.01.007]
　Li Qingyuan.Effect of different light and temperature treatment on seed germination of Cunninghamia lanceolata[J].Journal of Jiangsu Forestry Science &Technology,2021,48(01):33.[doi:10.3969/j.issn.1001-7380.2021.01.007]
[7]王邦富.杉木林分郁闭度对林下黄花倒水莲生长及皂苷含量的影响[J].江苏林业科技,2021,48(04):24.[doi:10.3969/j.issn.1001-7380.2021.04.005]
　Wang Bangfu.Influence of canopy density of Chinese fir stand on the undergrowth and polygalacin content of Polygala fallax[J].Journal of Jiangsu Forestry Science &Technology,2021,48(01):24.[doi:10.3969/j.issn.1001-7380.2021.04.005]

备注/Memo

备注/Memo:
收稿日期：2022-10-11;修回日期：2022-10-29
基金项目：广西林业科技推广示范项目“基于森林VOCs的森林健康体系构建”（桂林科研[2022]第5号）
作者简介：文娟（1984- ），女，广西全州人，高级工程师，硕士。主要从事森林资源与生态环境监测工作。
更新日期/Last Update: 2023-05-16