CAJ | 학술논문

稻叶瘟是影响寒地水稻产量的重要病害之一。为了减少病害受灾程度，增加早期检测的手段，该文利用拉曼光谱仪对正常水稻与感染稻叶瘟的水稻叶片进行拉曼光谱采集，指认出了水稻叶片的特征频率。通过对无病害叶片与病害叶片官能团的拉曼特性谱峰和特征频率偏移的对比分析，指出稻叶瘟水稻叶片的特征谱峰和稻瘟病敏感谱线为1800～2600 cm-1的频谱区域，分析得到984和994 cm-1的双峰连线的斜率以及828和851 cm-1的双峰连线的斜率随着病害程度的增加而逐渐增大。通过对随机抽取的50个拉曼光谱样本的分析，得到2000～2300 cm-1散射截面随着病害程度的加重而增加，说明散射截面的变化与稻瘟病害存在良好对应关系。研究表明拉曼光谱分析为早期检测水稻稻叶瘟病提供了一种有效的手段。
도협온시영향한지수도산량적중요병해지일。위료감소병해수재정도，증가조기검측적수단，해문이용랍만광보의대정상수도여감염도협온적수도협편진행랍만광보채집，지인출료수도협편적특정빈솔。통과대무병해협편여병해협편관능단적랍만특성보봉화특정빈솔편이적대비분석，지출도협온수도협편적특정보봉화도온병민감보선위1800～2600 cm-1적빈보구역，분석득도984화994 cm-1적쌍봉련선적사솔이급828화851 cm-1적쌍봉련선적사솔수착병해정도적증가이축점증대。통과대수궤추취적50개랍만광보양본적분석，득도2000～2300 cm-1산사절면수착병해정도적가중이증가，설명산사절면적변화여도온병해존재량호대응관계。연구표명랍만광보분석위조기검측수도도협온병제공료일충유효적수단。
Raman spectroscopy has been widely applied in some areas, such as agricultural products, food, and so on. In chemical molecular structure analysis and appraisal, it has some merits of simple pretreatment, nondestructive, rapid detection, etc. We all know that the Raman spectra of some substances with similar molecular structures may have significant differences. We can take advantage of this characteristic to effectively distinguish some substances with other similar molecular structures. Rice leaf blast is one of the most serious diseases that affect the yield of rice in cold area. In order to reduce the impact caused by the disease and increased early detection methods, Raman spectroscopy was used to collect spectroscopy of normal rice leaves and abnormal rice leaves and identified the characteristic frequency of the rice leaf. Through analysis of the spectral peaks and characteristic frequency offset of normal rice and abnormal rice functional groups, we found that the spectral peaks and the sensitive spectrum lines ranged from 1 800to 2 600 cm-1. The slopes of bimodal lines between 984 and 994 cm-1, and between 828 and 851cm-1 were increased as the degree of disease increased. In random samples of 20 Raman spectra, the correct recognition ratio reached 75%. Collected Raman spectra have certain fluorescence background, and the process of baseline correction to the background has great influence on the Raman band peak height, but it has little influence on the peak area relatively. Therefore we can divide it by the peak maxima in the calculation of the spectral intensity. Finally, 50 samples of Raman spectra were randomly selected for analysis. We can get 1 005, 1 527cm-1 in the vicinity of the scattering cross section size and 2 000-2 300cm-1 within the scope of the multiple spectral sum of peak scattering cross section size. We can see the change from the first 25 samples which are not very large. But with the aggravation of the rice disease extent, the scattering cross section values increased obviously. It showed that the Raman spectra of the rice leaf without disease were very small in the 2 000-2 300 cm-1 range. Because in the acquisition process of the Raman spectrum of rice leaf, the total energy of the light source is conserved, the increase in rice blast disease sensitive band scattering intensity of spectral peak intensity will correspondingly weakened other characteristic functional groups. So, the influence of ratio of rice blast sensitive band scattering intensity and scattering peaks characteristic functional groups were more obvious in rice blast disease of Raman spectral lines. The scattering cross section of 2 000-2 300 cm-1increased with the increase of the degree of disease through the analysis of 50 randomly selected samples of Raman spectra, which showed a good relationship between the changes of the scattering cross section and the rice blast disease. Raman spectroscopy provides an effective method for the early detection of rice leaf blast.