RESEARCH ON THE RELATIONSHIP BETWEEN LASER POWER AND CHLOROPHYLL FLUORESCENCE INTENSITY IN LASER-INDUCED
Laser-induced fluorescence (LIF) non-destructive detecting technique is perfect for detecting plant physiological information by reason of its speediness and nicety. However, several factors such as laser power influence fluorescence information considerably, which limits application of this technique to a certain extent. The relationship between chlorophyll fluorescence intensity and laser power was researched to develop the Laser-induced fluorescence (LIF) non-destructive detecting. In this paper, AvaSpec-2048 fiber spectrometer (Avantes, made in Holand) as one of primary equipments was adopted to study the correlation between laser power and chlorophyll fluorescence intensity for cucumber leaf in vivo by reflectance laser-induced fluorescence (LIF) spectrum analysis technique. Fluorescence spectrums, which were induced by four power (2.50mW, 5.00mW, 7.50mW, 10.00mW) of center wavelength 473nm and 660nm laser respectively, were analyzed by statistics after a series of experiments. Under these conditions, fluorescence intensity variations of center wavelength 685nm and 732nm fluorescence in different plant physiological information (chlorophyll content, water content) were calculated and analyzed by MATLAB software. Some important conclusions were drawn. There was a significant linear correlation between fluorescence intensity of every peak position and laser power, and correlation coefficient (R2) wasnt less than 0.95 (P<0.01) under 685nm, furthermore R2 wasnt less than 0.96 under 732nm (P<0.01). Chlorophyll content parameter effects the correlation between fluorescence intensity and laser power greatly, and a linear correlation existed between fluorescence intensity gradient of every peak position and chlorophyll content was received that R2685 wasnt less 0.85 (P<0.1); and R2732 wasnt less than 0.73 (P<0.1). Nevertheless water content was indistinctive because its R2 was just 0.41.Finally a mathematical model including three variables that laser power, chlorophyll content and fluorescence intensity was established, and its relative square error of prediction (RSEP) was less than 0.2％, the model exactly reflected the relationship among these parameters.
fluorescence spectrum fluorescence intensity laser power chlorophyll content mathematical model
Haiye Yu Haoyu Yang Lei Zhang
Key Laboratory of Bionic Engineering,Ministry of Education,School of Biological and Agricultural Engineering,Jilin University,Changchun 130022,China
国际会议
北京
英文
1-7
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）