Method for fast detecting dry sea cucumber protein content by near infrared spectroscopy technology
A protein content, near-infrared spectroscopy technology, applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of contaminated samples, complicated pretreatment, low detection efficiency of dried sea cucumber protein content, etc., and achieve reliable results. Efficient effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0020] A method for quickly detecting the protein content of dried sea cucumber by near-infrared spectroscopy, said method comprising the steps of:
[0021] ① Grind 62 calibrated dried sea cucumber samples separately, and divide each dried sea cucumber sample into two parts a and b on average. The dried sea cucumber sample a is determined by Kjeldahl in the National Food Safety Standard of the People's Republic of China (GB 5009.5-2010). method to detect and obtain the chemical value of the protein content of the dried sea cucumber, the results are shown in Table 1; the b dried sea cucumber sample is detected by a near-infrared spectrometer, and the scanning range of the near-infrared spectrometer is 12500~3600cm -1 , with a resolution of 8cm -1 , the number of scans is twice, and the average spectrum is taken to obtain the near-infrared spectrum of the dried sea cucumber. The results are shown in the attached figure 1 ;
[0022] Table 1 Chemical value of protein content in...
Embodiment 2
[0026] The difference with embodiment 1 is:
[0027] ② Use OPUS 7.0 software to perform standard normal variable exchange spectral preprocessing method on the dried sea cucumber near-infrared spectrum obtained in step ①, and select the modeling band range as 7502.1-5446.2cm -1 And 4601.5-4246.7cm -1 , using the partial least squares method to establish a detection model for the protein content of dried sea cucumbers, the internal cross-validation standard deviation was 1.41, and the internal cross-validation coefficient of determination of the calibration model was 87.20.
Embodiment 3
[0029] The difference with embodiment 1 is:
[0030] ②Using the OPUS 7.0 software to perform multivariate scattering correction on the near-infrared spectrum of the dried sea cucumber obtained in step ①, select the modeling band range as 5450.1-4246.7cm -1 , using the partial least squares method to establish a detection model for the protein content of dried sea cucumbers, the internal cross-validation standard deviation was 1.26, and the internal cross-validation coefficient of determination of the calibration model was 89.70.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More