Starting with analysis of TOC Calibration
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METADATA
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----------------------------------------------------------------------
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Standard 2 mg / L TOC
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Standard Prep. Date 10.09.2026
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Measurement Date 10.09.2026
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CALIBRATION DATA
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conc. STD Dilution A1 A2 A3
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(mg / L) (-) (-) (-) (-)
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0.05 40.0 0.3451 0.3456 0.3914
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0.10 20.0 0.6457 0.6743 0.5987
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0.20 10.0 0.9987 1.0544 1.0343
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0.40 5.00 1.3654 1.4102 1.3862
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1.00 2.00 2.3302 2.2963 2.3417
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2.00 1.00 4.3698 4.1897 4.4005
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CALIBRATION RESULTS
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----------------------------------------------------------------------
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Slope 10.3656
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Intercept 0.33560
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R2 0.99740
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FILE IC_Calibration.cal
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COMPUTED 10.09.2026 17:45:36
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----------------------------------------------------------------------
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@@ -0,0 +1,25 @@
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METADATA
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----------------------------------------------------------------------
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Standard 2 mg / L TOC
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Standard Prep. Date 10.09.2026
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Measurement Date 10.09.2026
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CALIBRATION DATA
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conc. STD Dilution A1 A2 A3
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(mg / L) (-) (-) (-) (-)
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0.05 40.0 0.3451 0.3456 0.3914
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0.10 20.0 0.6457 0.6743 0.5987
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0.20 10.0 0.9987 1.0544 1.0343
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0.40 5.00 1.3654 1.4102 1.3862
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1.00 2.00 2.3302 2.2963 2.3417
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2.00 1.00 4.3698 4.1897 4.4005
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CALIBRATION RESULTS
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----------------------------------------------------------------------
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Slope 10.3656
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Intercept 0.33560
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R2 0.99740
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FILE NPOC_Calibration.cal
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COMPUTED 10.09.2026 17:45:36
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----------------------------------------------------------------------
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@@ -0,0 +1,25 @@
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METADATA
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----------------------------------------------------------------------
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Standard 2 mg / L TOC
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Standard Prep. Date 10.09.2026
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Measurement Date 10.09.2026
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CALIBRATION DATA
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conc. STD Dilution A1 A2 A3
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(mg / L) (-) (-) (-) (-)
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0.05 40.0 0.3451 0.3456 0.3914
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0.10 20.0 0.6457 0.6743 0.5987
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0.20 10.0 0.9987 1.0544 1.0343
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0.40 5.00 1.3654 1.4102 1.3862
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1.00 2.00 2.3302 2.2963 2.3417
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2.00 1.00 4.3698 4.1897 4.4005
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CALIBRATION RESULTS
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----------------------------------------------------------------------
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Slope 10.3656
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Intercept 0.33560
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R2 0.99740
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FILE TC_Calibration.cal
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COMPUTED 10.09.2026 17:45:36
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----------------------------------------------------------------------
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@@ -0,0 +1,100 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "393a8a7f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from defs.TOC import TC_Calibration"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "f2cf26e4",
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"metadata": {},
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"outputs": [],
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"source": [
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"dilutions = [10, 7, 5, 3, 2]\n",
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"NPOCs = [7.136, 4.120, 3.552, 3.430, 3.255]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"id": "d81f0103",
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"metadata": {},
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"outputs": [],
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"source": [
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"def fitfunc(x, a):\n",
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" return np.divide(a, x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"id": "d8d8a1af",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"fig = plt.figure()\n",
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"ax = fig.add_subplot(111)\n",
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"\n",
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"parameter = curve_fit(fitfunc, xdata = [1 / dilution for dilution in dilutions], ydata=NPOCs, p0 = [7])\n",
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"xs = np.divide(1, np.linspace(start = 1, stop = 11, num = 1000))\n",
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"ys = fitfunc(xs, parameter[0][0])\n",
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"\n",
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"ax.scatter([1 / dilution for dilution in dilutions], NPOCs)\n",
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"ax.plot(xs, ys, linestyle = '--')\n",
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"\n",
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"\n",
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"ax.set_xlabel('1 / Dilution')\n",
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"ax.set_ylabel('NPOC (mg/L)')\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "00b59d82",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "MA",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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Reference in new issue
Block a user