柳杉瘿瘤病的红外光谱鉴别

浙江农业学报

柳杉瘿瘤病的红外光谱鉴别

（1上海市农业技术推广服务中心，上海 201103；2浙江大学农业与生物技术学院植物保护系，浙江杭州 310058）

出版日期:2015-08-25 发布日期:2015-08-21

Identification of gall disease of Cryptomeria fortunei by fourier transform infrared spectra#br#

（1 Shanghai Extension and Service Center of Agriculture Technical， Shanghai 201103， China; 2 Plant Protection Department， Agricultural and Biotechnological College， Zhejiang University， Hangzhou 310058， China）

Online:2015-08-25 Published:2015-08-21

摘要/Abstract

摘要： 柳杉是一种罕见的木材材料，具有很高的观赏价值。近年来在浙江临安，瘿瘤病的发生导致柳杉数量急剧下降，迫切需要开发有效的检测手段对该病害进行早期诊断。分析比较健康和感病植株的傅里叶变换红外光谱（FTIR），结果表明，感染植株的主干在2 85206 cm-1处有特征峰；相比之下，未感染植株的主干在3 74275，1 42555，1 26758，1 15993和89875 cm-1有特征峰。此外，只有未感病的杉叶在2 85220 cm-1处有特征峰值，这些差异峰可以用来识别柳杉主干或杉叶是否感染瘿瘤病。上述结果说明FTIR光谱柳杉可用于早期瘿瘤病的诊断。

关键词: 柳杉, 瘿瘤病, 特征峰, 红外光谱

Abstract: Cryptomeria fortunei is one of the rare timber materials， with highly ornamental value. Unfortunately， its population in Linan city， Zhejiang Province， China， declined sharply recently， which was mainly due to gall disease. Our study may present a promising strategy to reduce the damage of gall disease by identifying this disease using fourier transform infrared （FTIR）. The result demonstrated that 2 85206 cm-1 was observed in FTIR of the infected trunk， but not in FTIR of uninfected trunk. In contrast， 3 74275，1 42555，1 26758，1 15993and 89875 cm-1 were specific to the uninfected trunk of C.fortunei. Furthermore， the peak at 2 85220 cm-1 appeared only in uninfected leaves of C.fortunei. Therefore， these differential peaks between infected and uninfected tissues could be used as the biomarker to identify the gall disease， which indicated that FTIR spectra may provide an alternative method for rapid identification of gall disease of C.fortunei.

Key words: Cryptomeria forunei, gall disease, specific peak, FTIR

罗金燕1，余慧1，陈磊1，王丽2，杨春兰2，杨樱子2，李斌2，*. 柳杉瘿瘤病的红外光谱鉴别[J]. 浙江农业学报.

LUO Jin\|yan1， YU Hui1， CHEN Lei1， WANG Li2， YANG Chun\|lan2， YANG Ying\|zi2， LI Bin2，*. Identification of gall disease of Cryptomeria fortunei by fourier transform infrared spectra#br#[J]. .