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Q: What is a calibration curve and why do you use a calibration curve to determine the concentration of your unknown?
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What is the calibration curve for rotameter?

calibration curve helps you determine the value of a unknown substance


What is calibration chart?

With using a standard addition method the influence of matrix presented in sample is reduced.But standard addition corrects only for multiplicativeinterferences (changes in calibration curve slope), not additive interferences (changes in calibration intercept, such as spectral interferences). See http://terpconnect.umd.edu/~toh/models/Bracket.html


How do you make a standard curve graph?

Standard curves are used to determine the concentration of substances. First you perform an assay with various known concentrations of a substance you are trying to measure. The response might be optical density, luminescence, fluorescence, radioactivity or something else. Graph these data to make a standard curve - concentration on the X axis, and assay measurement on the Y axis. Also perform the same assay with your unknown samples. You want to know the concentration of the substance in each of these unknown samples. To analyze the data, fit a line or curve through the standards. For each unknown, read across the graph from the spot on the Y-axis that corresponds to the assay measurement of the unknown until you intersect the standard curve. Read down the graph until you intersect the X-axis. The concentration of substance in the unknown sample is the value on the X-axis. In the example below, the unknown sample had 1208 counts per minute, so the concentration of the hormone is 0.236 micromolar. Prism makes it very easy to fit your standard curve, and to read (interpolate) the concentration of unknown samples.


What is the diffecence between sensitivity and detection limit?

Sensitivity is the smallest change in concentration of the analyze that can be detected by using that method. This is the slope of the calibration curve. Detection limit is the lowest concentration that can be detected by the particular method.


How do you calibrate for HPLC?

standards are run with samples i.e. several solutions of chemical you are trying to analyse for, of known composition and strengths are run to set up a calibration curve which should be a straight line - absorbance (or signal strength) vs. conc. You then test the unknown sample and can extraploate the concentration of the sample based on your calibration curve. HPLC columns come with a standard chromatogram when purchased so a run with same conditions and sample should give similar retention times.


Why calibration curve method is more reliable as compared to a single point method?

Why Calibration curve method is more reliable than single point method?Read more: Why_Calibration_curve_method_is_more_reliable_than_single_point_method


How do you calculate the limit of detection from a calibration curve?

See this link.


What are the ideal characteristics of a calibration curve?

i was suppose to get the anwer from yuo


If all the SCN were not converted completely to FeNCS when the calibration curve was prepared would this raise or lower the value of Keq?

Sorry, since it is unknown of what experiment or laboratory analysis you're talking about, this question is unanswerable. It also is not accurate enough: FeNCS is not a good formula, SCN is an anion: SCN- and the sentence:".... when the calibration curve was prepared(??) would this raise or lower the value of Keq" is difficult to interprete as such a curve is not adequately described.


What is the limit of linearity range?

Limit of Linearity is the concentration at which the calibration curve departs from linearity by a specified amount. A deviation of approximately 5% is usually considered the upper limit. Common at higher concentrations.


What is the calibration curve of orifice meter?

The calibration curve for an orifice meter will depend on the size of the orifice, the size of the pipe and the pressure loss over the meter. Typical calibration curves have pressure (or head) loss on the vertical (y) axis and flow rate on the horizontal (x) axis.


Why can you use a calibration curve for getting equilibrium data?

I'm doing this lab, and it was explained to me by my instructor... Basically, on the x-axis you'll have the concentration of a substance, and on the y-axis you'll have the %T, or A, the absorbance of the substance when it's put into a spectrophotometer. so you plot the points, get a line of best fit (this is your calibration curve), and then basically you use that line to get the concentration of the substance, when you've already calculated the A. . And from that concentration, you can extrapolate the concentration of the reactants/products (Depending on what you're looking for) to find the equilibrium constant. Here's an example: iron and thiocyanate ions bond to form iron thiocyanate in the following equation: Fe(3+) + SCN(-) --> FeNCS(2+) For the experiment I did, a calibration curve was made with reacted Fe(3+) and SCN(-). So for my calibration curve, I got the concentration of FeNCS(2+) on the x-axis, and the absorbance or A on the y-axis. So you basically got to find the equilibrium concentrations of the Fe(3+) and the SCN(-), cuz you've already got the equilibrium concentration for FeNCS(2+). So you start with the initial, use the equilibrium FeNCS(2+) to calculate the equilibrium concentration of the reactants. Here's the equation: equilibrium [Fe(3+)] = initial [Fe(3+)] - equilibrium [FeNCS(2+)]. And the same goes for the SCN ion.. you just switch out the numbers. So now that you got all that, it's simply a matter of dividing the product concentrations by the multiplication of the reactant concentrations. and boom, you have found the equilibrium constant. Keep it simple stupid, y'all. There is another way to find it, and that's using the Beer-Lambert's law..