The invention discloses a method for optimizing
infrared spectrum detection parameters of
ginseng leaves based on a response surface method. A multi-level
system with a
signal-to-
noise ratio, a peak height, a half-peak width and a
peak area as evaluation indexes is constructed by taking scanning times, resolution and a ratio of a sample to KBr as variables. According to the method, a multi-index weight
system is constructed through an
analytic hierarchy process (AHP) for the first time, the weight values are as follows: the
signal-to-
noise ratio is 24.735%, the peak height is 14.022%, the half-peak width is 8.214% and the
peak area is 53.029%, multi-factor collaborative optimization is converted into a mathematical problem based on quantitative scoring, and detection parameters are iteratively optimized by taking comprehensive scoring as an optimization target and combining a response surface method, so that the comprehensive performance of the detection parameters is improved. The optimal parameters of
infrared spectrum detection of the
ginseng leaves are determined as follows: the resolution is 4cm <-1 >, the scanning times are 32, and the
mass ratio of the sample to KBr (mg) is 1: 100. According to the method, the problem of multi-factor collaborative optimization is solved by quantifying the index weight, the accuracy and sensitivity of spectrum detection are remarkably improved, and an efficient and accurate parameter optimization scheme is provided for
infrared detection of traditional Chinese medicinal materials.