Data processing method for multi-dimensional titration analysis and application of data processing method
A technology for data processing and titration analysis, applied in the field of measurement and analytical chemometrics, which can solve problems such as systematic errors, baseline range drift, and inability to compare different experimental data.
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Embodiment 1
[0060] A data processing method for multidimensional titration analysis, comprising:
[0061] (1) Data collection: set and add reagent volume v as measurement sequence parameter, carry out the measurement of temperature titration mode, spectral titration mode, electrochemical titration mode synchronously of sample to be measured, obtain spectral titration data, potentiometric titration data and temperature titration data;
[0062] (II) First-level data processing: the spectral titration data, potentiometric titration data and temperature titration data of step (I) are subjected to noise reduction processing to obtain the first-time processing data, and use the first-time processing data and the added reagent volume v to construct the measurement sequence data 3 tables of raw titration data;
[0063] (III) Construct the original titration curve: use the original titration data table of step (II) respectively, take the added reagent volume v as the x-axis, and use the spectral t...
Embodiment 2
[0068] A kind of data processing method of multidimensional titration analysis, the difference with embodiment 1 is: the measurement sequence parameter in step (1) is replaced by the pH value of reaction solution, all the other steps are all the same as embodiment 1. The obtained spectrum-potential-temperature-pH value two-dimensional calibration titration curve is as follows Figure 4 shown.
Embodiment 3
[0070] A data processing method for multidimensional titration analysis, the difference from embodiment 1 is: the measurement sequence parameters in step (1) are replaced by pulse signal f, and all the other steps are the same as in embodiment 1. The obtained spectrum-potential-temperature-pulse two-dimensional calibration titration curve is as follows Figure 5 shown.
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