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Method for fast identifying clinical pathogens based on principal component analysis and Fisher discriminance

A principal component analysis, pathogenic bacteria technology, applied in the analysis of materials, material analysis by optical means, measurement devices, etc., can solve the problems of high detection cost, lengthy and time-consuming identification, etc., and achieve simple operation and good application prospects. Effect

Inactive Publication Date: 2016-03-23
FUZHOU UNIV
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Problems solved by technology

The whole process of identification is tedious and time-consuming, and the detection cost is high

Method used

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  • Method for fast identifying clinical pathogens based on principal component analysis and Fisher discriminance
  • Method for fast identifying clinical pathogens based on principal component analysis and Fisher discriminance
  • Method for fast identifying clinical pathogens based on principal component analysis and Fisher discriminance

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0020] The present invention adopts the following technical solutions to realize: a method for quickly identifying clinical pathogenic bacteria based on principal component analysis and Fish discriminant method, which is characterized in that: comprising the following steps: step S1: cultivating pathogenic bacteria samples; step S2: carrying out the sample Near-infrared spectrum scanning, collecting the near-infrared spectra of these three bacteria, and eliminating abnormal sample data; Step S3: Select 4003.497~12396.18cm -1 The spectral information under the characteristic band is processed by using multiple scattering correction MSC. The spectral data obtained after scattering correction can effectively eliminate the influence of scattering and enhance the spectral absorption information related to the component content. The use of this method...

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Abstract

The invention discloses a method for fast identifying clinical pathogens (such as staphylococcus aureus, salmonellae and escherichia coli). The method includes the following steps that near infrared spectrograms of staphylococcus aureus, salmonellae and escherichia coli samples are collected; PCA dimension reduction processing is carried out on the near infrared spectrograms of the staphylococcus aureus, salmonellae and escherichia coli samples; a Fisher discrimination function is set up for classification. The adopted principal component analysis method in combination with Fisher discriminance is introduced to identify the common pathogens, the types of the pathogens can be fast identified, and the method has the advantages of being high in accuracy and easy to operate, making a great contribution to follow-up clinical strain identification and having good application prospects.

Description

technical field [0001] The invention relates to a classification method involving three common clinical pathogenic bacteria, combining principal component analysis and Fisher discriminant method to construct a method for quickly identifying three common clinical pathogenic bacteria and its application. Background technique [0002] Staphylococcus aureus (Staphylococcus aureus) is an important pathogenic bacterium of humans, which belongs to the genus Staphylococcus (Staphylococcus may not be added in English), has another name of "meatophilus", is a representative of Gram-positive bacteria, and can cause many diseases. severe infection. Some Salmonella are pathogenic to humans, some are only pathogenic to animals, and some are pathogenic to both humans and animals. Salmonellosis is a general term for different forms of humans, domestic animals and wild animals caused by various types of Salmonella. People infected with Salmonella or the feces of carriers can contaminate fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 王武王建明李详辉陈敏林东红
Owner FUZHOU UNIV
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