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Spectroscopic means and methods for identifying microorganisms in culture

A technology of microorganisms and cultures, applied in the field of spectroscopic means and methods for identifying microorganisms in cultures, capable of solving undisclosed problems

Inactive Publication Date: 2014-11-05
OPTICUL DIAGNOSTICS LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] None of the prior art documents disclose means and methods that can detect and distinguish antibiotic-resistant bacteria from antibiotic-sensitive bacteria quickly (less than 1 hour) and do not require specialized technicians
Moreover, none of the prior art documents disclose means and methods that can exclude the interference of water contained in the sample on the experimental signal, thereby providing more sensitive and accurate detection of general bacteria and specific antibiotic-resistant bacteria

Method used

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  • Spectroscopic means and methods for identifying microorganisms in culture
  • Spectroscopic means and methods for identifying microorganisms in culture
  • Spectroscopic means and methods for identifying microorganisms in culture

Examples

Experimental program
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Embodiment 1

[0094]Each type of bacteria has a unique spectral profile. Although many types of bacteria have similar spectral signatures, there are still some spectral differences due to differences in proteins on the cell membrane and differences in DNA / RNA structures. Referring now to Figure 10, which presents two different species of bacteria, Enterobacter aerogenes (Enterobacter aerogenes) ( Figure 10A ) and Enterobacter cloacae ( Figure 10B ) of a typical IR spectrum (normalized absorbance as energy (cm -1 )The function). As can be seen from these figures, while the two spectra are largely similar in structure, differences can be seen in detail, and these differences are large enough to allow the two species to be distinguished by using the methods disclosed herein.

Embodiment 2

[0096] now refer to Figures 11 to 22 , which provides IR absorption spectra showing multiple bacterial species (normalized absorbance as energy (cm -1 ) function) of another embodiment. In some cases, unique features of spectra are indicated by arrows. The species of bacteria and the number of strains of each species uniquely identified by spectra are summarized in Table 1. As can be seen from the figures, the methods disclosed herein are not only able to distinguish between different species of bacteria, but also different strains of a single bacterial species.

[0097] [Table 1]

[0098]

Embodiment 3

[0100] The following examples illustrate in vitro examples of methods provided to distinguish between different species of bacteria.

[0101] First, during the training phase, each bacterium sample in the database is introduced into the system, based on which a statistical model is estimated for each bacterium and saved in memory. This process produces a number of statistical models, each representing a bacterial type. During the testing phase, the system is presented with "new" samples (ie, samples that have never been "seen" before), and data analysis and processing is performed. The system compares each bacterial pattern to each of the models held in memory during the training phase. Assign a likelihood score to each model. The model that provided the largest score was chosen as the classification decision.

[0102] Reference is now made to Figure 23, which presents two examples of the identification of bacteria according to the methods disclosed herein. Presented is a ...

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Abstract

A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRS A from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

Description

[0001] Related Application Citations [0002] This application claims priority to US Provisional Patent Application No. 61 / 577,131, filed December 19, 2011, which is hereby incorporated by reference in its entirety. technical field [0003] The present invention relates to spectroscopic means and methods for the identification of microorganisms in culture. In particular, the present invention relates to means and methods for the identification of microorganisms in culture, which rely on spectral measurements of whole cells, rather than cell-specific chemical composition, and to the integration of other light-based measurement methods (such as interferometry) means and methods. Background technique [0004] The identification of microorganisms, especially the detection of antibiotic-resistant bacteria, is extremely important in the field of medicine. It is well known that health care facilities devote considerable effort to preventing infection of patients with secondary di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/00G01N21/25G01N33/00G16B40/10
CPCG01N2021/6417G01N21/39G01N2021/3595G01N21/64G01N21/65C12M41/36G01N21/3577C12Q1/04G01N21/255G01N2021/1742G01N2021/1744G01N2201/06113G01N2201/129G01N2201/1296G16B99/00G16B40/10
Inventor 加利亚·汉诺特德罗尔·莱德曼哈桑·穆因丁伊斯雷尔·汉诺特
Owner OPTICUL DIAGNOSTICS LTD
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