Nucleic Acid Melting Temperature Detection Algorithm
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Solution Overview
Problem
Existing methods for detecting the melting temperature (Tm value) of nucleic acids are prone to user-dependent errors due to arbitrary setting of start and end points, leading to inconsistencies in data analysis.
Innovation Solution
A detection device and method that utilize a control device to set boundary points and calculate approximate straight lines using a least squares method, maximizing specific constants based on plot intervals and gradients, to determine the melting temperature by finding the intersection between two straight lines representing the melting curve's intermediate values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the median method is used to calculate Tm value with user-arbitrarily set start and end points, then the detection method is simple and easy to operate, but the Tm value varies between users leading to detection errors
Solution Approach 1:
The system automatically determines the start point and end point for the melting curve analysis by detecting inflection points and maximizing gradient criteria, eliminating the need for user-arbitrary settings. The control device autonomously processes the absorbance data to identify characteristic points, ensuring consistent and objective Tm value calculation without user intervention.
Solution Approach 2:
The invention changes the approach from user-defined parameters to algorithmically determined parameters based on mathematical criteria. By using gradient maximization and inflection point detection methods, the system transforms subjective user settings into objective parameter determination based on the actual shape and characteristics of the melting curve data.
2Measurement precision
If automated algorithms are used to determine start and end points objectively, then detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The invention replaces the manual mechanical process of user point-setting with an automated computational algorithm. The control device uses mathematical processing of absorbance data to automatically identify inflection points and determine optimal start and end points, substituting human judgment with objective computational analysis.
Solution Approach 2:
The system introduces an intermediary computational layer between the raw absorbance data and the final Tm value calculation. This intermediary algorithm processes the melting curve data through gradient analysis and inflection point detection, serving as an automated mediator that objectively determines the analysis parameters without direct user involvement.
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 univocally determines the melting temperature, reducing user-dependent errors and improving the accuracy of Tm value detection by automatically adjusting data ranges and processing in both the front and rear regions of the melting curve.
Implementation Method 1
absorbance of ultraviolet light around a wavelength of 260 μm greatly increases
Data Source
AI summary
A detection device includes a CPU and a memory. CPU sets a boundary point at which a melting curve is divided into a front region and a rear region, sets a start point and an end point, calculates an approximate straight line by a least squares method, and repeats setting processing of the approximate straight line. CPU sets a first straight line in the front region, sets a second straight line in the rear region, and detects, as a melting temperature, a temperature of a nucleic acid corresponding to an intersection between a melting curve and a line connecting intermediate values of absorbance of the nucleic acid at which a temperature of the nucleic acid is the same on the first straight line and the second straight line.