Draw a calibration curve using the data set given below. Show and explain LOD and LOQ. Determine the dynamic linear range by examining the linearity of the absorbance measurements against Metal atoms concentration. Also Explain calibration methods. (hint: there are there types of methods. These are internal, external and standard addition methods) Metal, ppm Absorbance 0.220 0.044 0.440 0.090 1.100 0.228 2.200 0.465 4.400 0.932 6.600 1.187
Draw a calibration curve using the data set given below. Show and explain LOD and LOQ. Determine the dynamic linear range by examining the linearity of the absorbance measurements against Metal atoms concentration. Also Explain calibration methods. (hint: there are there types of methods. These are internal, external and standard addition methods) Metal, ppm Absorbance 0.220 0.044 0.440 0.090 1.100 0.228 2.200 0.465 4.400 0.932 6.600 1.187
Chapter29: Mass Spectrometry
Section: Chapter Questions
Problem 29.5QAP
Question
![Draw a calibration curve using the data set given below. Show and explain
LOD and LOQ. Determine the dynamic linear range by examining the linearity
of the absorbance measurements against Metal atoms concentration.
Also Explain calibration methods. (hint: there are there types of methods.
These are internal, external and standard addition methods)
Metal, ppm
Absorbance
0.220
0.044
0.440
0.090
1.100
0.228
2.200
0.465
4.400
0.932
6.600
1.187](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F31713cb1-4623-482d-b36a-4cdfd63e0933%2F4ec9e321-acce-4919-a5bb-bd8fcd3dff06%2Frjo2urn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Draw a calibration curve using the data set given below. Show and explain
LOD and LOQ. Determine the dynamic linear range by examining the linearity
of the absorbance measurements against Metal atoms concentration.
Also Explain calibration methods. (hint: there are there types of methods.
These are internal, external and standard addition methods)
Metal, ppm
Absorbance
0.220
0.044
0.440
0.090
1.100
0.228
2.200
0.465
4.400
0.932
6.600
1.187
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