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Method for improving quality of modeling spectrum in near infrared analysis technology

A technology of near-infrared spectroscopy and spectroscopy, which is applied in the field of improving the modeling and prediction ability of near-infrared spectroscopy technology based on "data averaging", which can solve the problems of poor spectral quality and low spectral signal-to-noise ratio, and achieve good accuracy and improvement effect , improve the effect of safety and efficacy

Active Publication Date: 2019-02-12
SHANDONG UNIV
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Problems solved by technology

In practical applications, due to the influence of the type of spectroscopic instrument, the signal-to-noise ratio of the sample spectrum in some bands is relatively low, and the spectral quality is poor. At the same time, due to changes in the environment, the above factors make the quantification of the near-infrared model spectrum no longer simple. linear system, but a grayscale analysis model with an unknown linear basis

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  • Method for improving quality of modeling spectrum in near infrared analysis technology
  • Method for improving quality of modeling spectrum in near infrared analysis technology
  • Method for improving quality of modeling spectrum in near infrared analysis technology

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Embodiment 1

[0037] Fourier transform near-infrared spectroscopy (FT-NIR) was used to collect the spectra of 20 raw human plasma samples involved in the modeling, and 15 spectra were collected in parallel for each sample. Using Fourier transform near-infrared spectrometer (FT-NIR) liquid temperature-controlled transmission sampling module, the temperature is controlled at 37°C to collect the spectrum of raw human plasma samples. The spectral scanning range is 10000-4000cm -1 , the number of scans is 32, and the resolution is 8cm -1 , collected with air as a reference, and corrected the background every 1 hour. The laboratory environment is a temperature of 26° C. and a humidity of 30%. Each sample spectrum has a total of 1557 wavenumber points. After removing the wavenumber points with large noise and weak signal, 1200 wavenumber points remain.

[0038] For the 15 spectra of each sample, there are 15 similar absorbance values ​​at each wave number point of each sample, and the differenc...

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Abstract

The invention belongs to the field of near infrared modeling, and particularly relates to a method for improving the quality of near infrared modeling prediction ability. A near infrared spectrum is collected for multiple times to carry out average calculation, an optimal point for average processing is found, and subsequently, a PLS (Principal Component Analysis) model is established. For a spectrum of a raw material human plasma sample, each sample should collect and average 11 spectrums to obtain the relatively stable NIR (Near Infrared), and then, each sample participates in NIR modeling.A spectrum modeling comparison result proves that the near infrared model established in the invention is obviously superior to a common NIR modeling method and has an important application value in the detection of the total protein content of the raw material human plasma of a blood product.

Description

technical field [0001] The invention belongs to the field of near-infrared spectroscopy modeling, and in particular relates to a method for improving the modeling and prediction ability of near-infrared spectroscopy technology based on "data averaging". Background technique [0002] Near Infrared (NIR) is an electromagnetic radiation wave between visible light (Vis) and mid-infrared (MIR). The first non-visible region discovered in the absorption spectrum has applications in pharmaceuticals, medical diagnostics, quality control of food and agricultural products, astronomy, and therapeutic medicine. [0003] Quantitative analysis of near-infrared spectroscopy is a secondary analysis method. The analysis process is as follows: use a near-infrared spectrometer to measure the near-infrared spectrum of a sample; use a standard reference method to measure the concentration or property reference value of a specific component in the sample; Data and concentration or property refere...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 臧恒昌孙钟毓聂磊李连高玲玲王燕波王海燕权爽
Owner SHANDONG UNIV
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