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A zero-phase IIR Butterworth HPF was applied to the data recorded at each voltage point across the time series, indicated by the horizontal blue lines. The low frequency component of each data set was removed, and only the faradaic current remains. In this illustration, a 1 µM bolus of dopamine in a Tris buffer was injected in a flow cell and the background drift was removed by the filter leaving only the signal due to the presence of dopamine.

Journal: The Analyst

Article Title: Baseline Drift Detrending Technique for Fast Scan Cyclic Voltammetry

doi: 10.1039/c7an01465a

Figure Lengend Snippet: A zero-phase IIR Butterworth HPF was applied to the data recorded at each voltage point across the time series, indicated by the horizontal blue lines. The low frequency component of each data set was removed, and only the faradaic current remains. In this illustration, a 1 µM bolus of dopamine in a Tris buffer was injected in a flow cell and the background drift was removed by the filter leaving only the signal due to the presence of dopamine.

Article Snippet: Zero-phase high pass (HP) second order Butterworth IIR filters were implemented with MATLAB and Statistics Toolbox Release 2016b (MathWorks Inc., Natick, MA).

Techniques: Injection

Statistical evaluation of principle component analysis (PCA) and high pass filter (HPF) with 0.01 Hz cutoff frequency. (A) Data is from 24 hours of the electrode placed in a beaker of Tris buffer. Arrow indicates the point used for background subtraction. (B) In the upper color plot, the result of applying PCA and removing background current drift components is shown. In the lower color plot, HPF was performed across the time series at each voltage point. A Butterworth second order filter with 0.01 Hz cutoff frequency was used. (C) Mean variance of the detrended data. The variances, in nA2, from each time series were averaged to find the mean variance (single electrode, unpaired t-test, p<0.0001, t=10.88). Error bars are standard error of the mean.

Journal: The Analyst

Article Title: Baseline Drift Detrending Technique for Fast Scan Cyclic Voltammetry

doi: 10.1039/c7an01465a

Figure Lengend Snippet: Statistical evaluation of principle component analysis (PCA) and high pass filter (HPF) with 0.01 Hz cutoff frequency. (A) Data is from 24 hours of the electrode placed in a beaker of Tris buffer. Arrow indicates the point used for background subtraction. (B) In the upper color plot, the result of applying PCA and removing background current drift components is shown. In the lower color plot, HPF was performed across the time series at each voltage point. A Butterworth second order filter with 0.01 Hz cutoff frequency was used. (C) Mean variance of the detrended data. The variances, in nA2, from each time series were averaged to find the mean variance (single electrode, unpaired t-test, p<0.0001, t=10.88). Error bars are standard error of the mean.

Article Snippet: Zero-phase high pass (HP) second order Butterworth IIR filters were implemented with MATLAB and Statistics Toolbox Release 2016b (MathWorks Inc., Natick, MA).

Techniques:

A zero-phase IIR Butterworth HPF was applied to the data recorded at each voltage point across the time series, indicated by the horizontal blue lines. The low frequency component of each data set was removed, and only the faradaic current remains. In this illustration, a 1 µM bolus of dopamine in a Tris buffer was injected in a flow cell and the background drift was removed by the filter leaving only the signal due to the presence of dopamine.

Journal: The Analyst

Article Title: Baseline Drift Detrending Technique for Fast Scan Cyclic Voltammetry

doi: 10.1039/c7an01465a

Figure Lengend Snippet: A zero-phase IIR Butterworth HPF was applied to the data recorded at each voltage point across the time series, indicated by the horizontal blue lines. The low frequency component of each data set was removed, and only the faradaic current remains. In this illustration, a 1 µM bolus of dopamine in a Tris buffer was injected in a flow cell and the background drift was removed by the filter leaving only the signal due to the presence of dopamine.

Article Snippet: High Pass Filtering Design Zero-phase high pass (HP) second order Butterworth IIR filters were implemented with MATLAB and Statistics Toolbox Release 2016b (MathWorks Inc., Natick, MA).

Techniques: Injection

Statistical evaluation of principle component analysis (PCA) and high pass filter (HPF) with 0.01 Hz cutoff frequency. (A) Data is from 24 hours of the electrode placed in a beaker of Tris buffer. Arrow indicates the point used for background subtraction. (B) In the upper color plot, the result of applying PCA and removing background current drift components is shown. In the lower color plot, HPF was performed across the time series at each voltage point. A Butterworth second order filter with 0.01 Hz cutoff frequency was used. (C) Mean variance of the detrended data. The variances, in nA2, from each time series were averaged to find the mean variance (single electrode, unpaired t-test, p<0.0001, t=10.88). Error bars are standard error of the mean.

Journal: The Analyst

Article Title: Baseline Drift Detrending Technique for Fast Scan Cyclic Voltammetry

doi: 10.1039/c7an01465a

Figure Lengend Snippet: Statistical evaluation of principle component analysis (PCA) and high pass filter (HPF) with 0.01 Hz cutoff frequency. (A) Data is from 24 hours of the electrode placed in a beaker of Tris buffer. Arrow indicates the point used for background subtraction. (B) In the upper color plot, the result of applying PCA and removing background current drift components is shown. In the lower color plot, HPF was performed across the time series at each voltage point. A Butterworth second order filter with 0.01 Hz cutoff frequency was used. (C) Mean variance of the detrended data. The variances, in nA2, from each time series were averaged to find the mean variance (single electrode, unpaired t-test, p<0.0001, t=10.88). Error bars are standard error of the mean.

Article Snippet: High Pass Filtering Design Zero-phase high pass (HP) second order Butterworth IIR filters were implemented with MATLAB and Statistics Toolbox Release 2016b (MathWorks Inc., Natick, MA).

Techniques: