Proceedings Article | 11 January 2008
Tao Lin, Lin Ou, Hui-ru Zhuang, Rong Chen, Xiao-hua Liao, Wen-suo Lin
KEYWORDS: Laser irradiation, Data modeling, Optical simulations, Statistical modeling, Mathematical modeling, Computer programming, Laser applications, Argon, Statistical analysis, Organisms
Objective to simulate and model the cells proliferation of Platymonas subcordiformis irradiated by laser, so as to obtain
the quantitative relationship between laser parameters and the effects of mircoalgae irradiated. Methods : Platymonas
subcordiform is irradiated by Nd:YAP(1341 , 10w , 45s--90s);LD(670nm , 800mw , 20min,30min ),Ar+ (532nm,80mw,50Min-65Min) , with 14 dose treatment groups, each 3 samples, and the cells proliferation to be
observed in delay phase of mircoalgae growth, as a data source, and according to the characteristics of growth and
reproduction of single-cell alga in cultured process, Gaussian growth curves are constructed, to fit the samples growth
curve with least squares regression ,and to predict mircoalgae growth trends; on building the linear twin objective
programming model and analyzing by stepwise regression , the laser parameters which is larger correlation with the
numbers of cells proliferation and the rates are screened from all, and a optimal strategy given by model optimization
software (Lingo).Results: By constructing growth curve function, in delay phase, with mircoalgae cells proliferation
accelerating , a single peak Gaussian curve is showed; with inhibited growth the cell numbers trend to reduced, and after
sub-cultivation the numbers significantly upward, then the growth curves meet double-Gaussian function category. There
are goodness of fitting for SSE: 2.383e-005; R-square: 0.9997. It is showed that the parameters of Nd:YAP(1341nm ,
10w,45s) is relatively suitable to accelerate cells proliferation. Conclusions: On mathematical model constructed, in
delay phase of Platymonas subcordiformis, the quantitative relationship is obtained between laser irradiation parameters
and the growing effects to stimulate or to inhibit.