Microbial Identification via Fluorescence Classification
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Solution Overview
Problem
Current methods for detecting and identifying microbial agents in blood samples are time-consuming, typically taking 2-5 days, due to interference from blood components and artifacts in disposable systems, which hinders rapid characterization and identification.
Innovation Solution
A method utilizing intrinsic fluorescence measurements transformed to minimize strain variations, followed by a multi-level classification algorithm processed by a computer to rapidly identify and characterize microbial agents at different taxonomic levels, such as Gram class, family, and species, using a programmed classification algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual culture and identification methods are used (including agar plating, subculture, and VITEK 2 instrument processing), then reliable microbial identification can be achieved, but the process takes 2-5 days due to multiple manual steps and incubation requirements
Solution Approach 1:
The patent extracts the microbial agent from the complex blood sample matrix using automated separation technology. The separation device isolates the microorganism from blood components and artifacts, enabling direct analysis without manual culture steps. This extraction eliminates the need for agar plating and subculture while maintaining identification accuracy.
Solution Approach 2:
The patent replaces manual mechanical operations (streaking, incubation, sampling) with automated fluorescent spectroscopy. The system uses optical excitation and emission detection to directly identify microbial characteristics, substituting the mechanical culture process with a rapid optical analysis system that provides equivalent or superior identification precision.
2Productivity
If blood samples are analyzed directly for microbial presence, then detection can be performed, but blood components and disposable system artifacts interfere with accurate characterization and species identification
Solution Approach 1:
The separation device physically extracts the microbial agent from the blood sample and disposable system artifacts. This extraction removes interfering substances (blood cells, media components, bottle artifacts) that would otherwise obscure fluorescent signals, enabling both rapid detection and accurate characterization without compromise.
Solution Approach 2:
The patent introduces a separation device as an intermediary between the blood sample and the analysis system. This intermediary component isolates the microorganism from interfering substances before analysis, acting as a mediator that enables both speed and precision by preparing a clean sample for fluorescent spectroscopy.
3Loss of information
If multiple manual processing steps are performed (retrieval, streaking, incubation, sampling, card processing), then comprehensive microbial analysis is achieved, but the complexity and time consumption increase significantly
Solution Approach 1:
The patent merges multiple separate operations (detection, separation, and identification) into a single integrated automated system. The fluorescent spectroscopy system performs all three functions sequentially without manual intervention, combining what were previously distinct manual steps into one unified process that maintains comprehensive characterization while eliminating process complexity.
Solution Approach 2:
The system enables self-service automation where the instrument automatically performs retrieval, separation, analysis, and identification without requiring manual操作步骤. The automated workflow executes the complete analysis sequence autonomously, reducing device complexity from the user perspective while maintaining comprehensive microbial characterization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables rapid identification and characterization of microbial agents in under a day, reducing the time from sample introduction to reporting results, thereby enhancing clinical efficiency and potentially saving lives.
Implementation Method 1
an optical detection unit in the incubator analyzes a colorimetric sensor incorporated into the bottle to detect whether microbial growth has occurred within the bottle
Implementation Method 2
obtaining intrinsic fluorescence values over a range of emission wavelengths from the microbial agent. The fluorescence values are obtained at a plurality of excitation wavelengths
Data Source
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AI summary
A method for identification and/or characterization of a microbial agent present in a sample includes a step of analytical test data (e.g., obtaining intrinsic fluorescence values over a range of emission wavelengths) from the microbial agent. The analytical test data is transformed thereby minimizing strain to strain variations within an organism group. With the aid of a programmed computer, a multi-level classification algorithm coded as a set of processing instructions operates on the transformed analytic test data. The multiple levels correspond to different levels in a taxonomic hierarchy for microbial agents suspected of being in the sample.