Magnetic resonance spectroscopy to identify and classify microorganisms

A microbial and magnetic resonance technology, applied in the field of magnetic resonance spectroscopy analysis for microbial identification and classification, can solve problems such as time-consuming, expensive, and a lot of work

A microbial and magnetic resonance technology, applied in the field of magnetic resonance spectroscopy analysis for microbial identification and classification, can solve problems such as time-consuming, expensive, and a lot of work

CN1582400AInactive Publication Date: 2005-02-16NAT RES COUNCIL OF CANADA +2

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Magnetic resonance spectroscopy to identify and classify microorganisms
  • Magnetic resonance spectroscopy to identify and classify microorganisms
  • Magnetic resonance spectroscopy to identify and classify microorganisms

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Embodiment 1: Bacterial detection

[0046] 1. Bacteria Storage and Culture

[0047] Isolates were from deposits of the Center for Infectious Diseases and Microbiology (CIDM) and the American Type Culture Collection, Institute of Clinical Pathology and Medical Sciences, Sydney, or the most recent clinical isolate from the Clinical Qualification Laboratory, CIDM Laboratory Services . Stored bacteria were suspended in 10% glycerol nutrient broth at -70°C. Horse blood agar (HBA) was prepared by adding sterile horse blood to autoclaved blood agar medium (Oxoid (UK) or Amyl Media (Australia)). The bacteria reduced from the stored bacteria were subcultured on 5% horse blood agar and incubated at 37°C, 5% CO 2 Conditioned for 18-24 hours. Newly grown bacteria and bacteria subcultured on HBA after storage were inoculated on duplicate HBA dishes, and incubated at 37°C for 18-24 hours, and then incubated at room temperature (20-30°C) before spectroscopic detection. ) stored f...

Embodiment 2

[0092] Example 2: Using MRS to Discriminate Cryptococcal and Glioma in Mouse and Cell Culture

[0093] 1. Preamble

[0094] Characterization of clinical isolates of Cryptococcus neoformans and glioma cell lines in culture and in experimental mice using MRS. 1D and 2D collections from in vitro cultured fungi (16 strains of Cryptococcus neoformans, 3 species of Candida albicans, 3 species of Aspergillus fumigatus, 3 species of Saccharomyces cerevisiae) and C6 glioma cell lines 1 H MR spectroscopy. Brain biopsies were taken from healthy mice and experimentally infected mice or gliomas (19 healthy brains, 19 cryptococci and 20 gliomas) and were analyzed using homogeneous and heterogeneous nuclei 2D correlation spectroscopy (COSY, TOCS, 1 H, 13 C-HSQC and HMBC) for unambiguous signal assignment between cell suspensions and tissue samples. The results indicated that the MR spectra of C. neoformans and C. neoformans were dominated by the resonance of the disaccharide a, a-trehalose...

Embodiment 3

[0133] Example 3: Identification of pathogenic fungi

[0134] 1. Microorganisms

[0135] 205 cultures of pathogenic yeasts Candida albicans, Candida parapsilosis, Candida tropicalis, Candida krusei, and Candida glabrata were grown on Sabouraud dextrose agar at 30°C for 48 hours. 69 and 70 isolates of the pathogenic yeast Cryptococcus neoformans var. neoformans and var. gattii, respectively, were cultured on Sabouraud dextrose agar at 37°C for 48 hours. Yeasts were biochemically identified using the API 20C AUX system (BioMerieux, Marcy 1'Etoile, France). Cryptococci were biotyped and serotyped (Crypto Check agglutinationtest, Iatron Labs). In addition, fingerprint PCR was used to compare the serotypes of the corresponding species. Colonies were scraped from Petri dishes and suspended in PBS / D immediately prior to MR experiments 2 O middle.

[0136] 2. MR spectrum detection

[0137] with assembly with 5mm { 1 H, 13 C) MR spectra were acquired with a Bruker Avance 360MHz ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A statistical classifier identifies microorganisms, such as bacteria and fungi, using magnetic resonance spectroscopy, with multivariate analysis. The bacteria may include species within Staphylococcus, Enterococcus and Streptococcus. The fungi may include pathogenic yeasts including species with Candida and Cryptococcus.

Description

[0001] Refer to related application [0002] This application claims priority to US Provisional Application No. 60 / 270,367, filed February 21, 2001. Background technique [0003] The present invention relates to the identification and classification of microorganisms such as bacteria and fungi using magnetic resonance spectroscopy and multivariate analysis. [0004] Throughout the application, individual references are placed in parentheses. The entirety of these documents are hereby incorporated by reference into this application in order to more fully describe the state of the art to which this invention pertains. A bibliography of these documents can be found at the end of the application, just before the claims. [0005] Microtaxonomic classification of microorganisms involves grouping microorganisms into groups based on characteristics such as detection of various metabolites / compounds of the microbial cells or analysis of genetic material. "Gene trees" derived from se...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
16 Feb 2005
Publication
CN1582400A
IPC
G01R33/465; C12M1/34; C12M1/42; C12Q1/06; C12Q1/10; C12Q1/14; G01R33/32; G01R33/46
CPC
G01R33/465; G01R33/4625
Inventors
雷蒙德·L·召莫尔尧伊; 塔尼亚·佐雷尔