Becton Dickinson and Company Limited

David J Turner

Susan M Kircher

William B Brasso

Fatimah Alrashidi-Brooks

Michael A O'connell

James R Petisce

Timothy M Wiles

Robert Edward Armstrong

Giovanni Parmigiani

Michael A O'Connell

Merlise Clyde

Provided herein are compositions, methods, systems and/or kits for detection of bacteria expressing enzymes that confer resistance to antimicrobial agents. Certain embodiments of the compositions, methods, systems and/or kits of the present disclosure are related to detection of carbapenemase-producing gram negative bacteria. Certain embodiments of the compositions, methods, systems and/or kits of the present disclosure are related to detection of Ambler Class A, B and/or D carbapenemase-producing enteric and non-fermenting gram negative rod bacteria.

Compositions, methods, systems and/or kits for detecting antimicrobial resistance in bacteria

Systems and methods for optimizing detection of optical signals indicating the presence of an analyte of interest in a blood sample are described. In one aspect, a blood culture test vial having a sensor is inoculated with the blood sample, light at an excitation frequency of the sensor is transmitted to the test vial, an intensity of a plurality of fluorescence signals emitted from the test vial is measured, and the plurality of measured fluorescence signals are normalized using by a reference signal that is not dependent on a measured intensity of a fluorescence signal emitted from the test vial. In another aspect, a measurement system measures fluorescence signals from one or more reference vials performing in extreme pH conditions. Fluorescence signals emitted from test vials inoculated with samples under test are measured and compared to the signals measured from the one or more reference vials to address or mitigate variability in hardware components of the measurement system.

Systems and methods for normalizing signals in blood culture measurement systems

A system and method for analyzing samples, such as biological samples, to accurately and effectively determine the susceptibility of the samples to antimicrobial materials, so as to determine minimum inhibitory concentration (MIC) values for the respective samples and antimicrobial materials. At each of a plurality of time intervals, the system and method directs a plurality of different analyzing light wavelengths, such as red, green and blue wavelengths, onto each of a plurality of sample wells, and detects a respective resultant light wavelength emanating from the respective sample wells for each of the analyzing light wavelengths. The system and method uses resultant light wavelengths to generate at least two growth indicator characteristic curves representing, for example, the redox state and turbidity characteristics of the sample wells. The system then uses the redox state and turbidity characteristics of sample wells containing the same antimicrobial material to determine the MIC value for that material in relation to the sample contained in those wells.

System and method for analyzing antibiotic susceptibility of biological samples using redox and turbidity measurments to ascertain minimum inhibitory concentrations (MICs)

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York, PA, United States of America

David J Turner