Melting point experiment: how do i know the calibration curve?
we did an experiment where:
week one we did a graph with the melting points of different compounds.
week 2 we used the graph to correct the melting point of unknown # 1 and then unknown # 2
we mixed unknown 2 with other compounds to determine what it is.
now i have to state what the calibration curve is but the teacher did not explain. how do i do this?
we find one unknown and its melting point
Your post is not clear, at least not to me. Perhaps another tutor can figure it out.
this is what i have so far..
A. unknown 1
melting point range (uncorr) 50.0-53.0
melting point range (corr) 50.2-53.2 (because of graph from part 1 of experiment)
melting point average 51.7
b unknown 2
melting point range (uncorr) 65.0-67.0
melting point range (corr) 65.6-67.6 (because of graph from part 1 of experiment)
melting point average 66.6
mix melting point range of unknown 2 with
compount mp range
benzhydrol 65.0-67.0
phenylbenzoate 63.0-70.0
bephenyl 67.0-69.0
unknown 2 is benshydrol
II.
include your calibration curve with this report. after the calibration curve is returned to you, tape it in your lab notebook
how do I do this???
To determine the calibration curve for a melting point experiment, you typically need to plot a graph using known compounds and their corresponding melting points. However, based on the information you provided, it seems that you only have data for unknown compounds and their corrected melting points.
In this case, one possible approach is to construct a calibration curve using the corrected melting points of the unknowns from the second week of the experiment. Here's how you can do it:
1. Make a list of the corrected melting points of the unknown compounds from week 2 of the experiment. Let's call them Unknown #1 and Unknown #2.
2. Assign a unique identifier to each of the unknowns (e.g., Unknown #1 can be labeled as X1, and Unknown #2 as X2).
3. Plot a graph with the identified unknowns on the x-axis and their respective corrected melting points on the y-axis.
4. Plot the data points for Unknown #1 and Unknown #2, labeling them as X1 and X2 on the graph.
5. Connect the data points with a line or a curve that best fits the plotted points. This line represents the calibration curve for the unknown compounds.
6. Additionally, you can extend the calibration curve for Unknown #1 and Unknown #2 to estimate the corrected melting points for other unknown compounds by plotting their respective data points on the graph.
Remember to label the axes and provide a title for your graph stating that it represents the calibration curve for the corrected melting points of the unknown compounds.
It's essential to note that this approach assumes that there is a linear relationship or pattern between the corrected melting points of the unknown compounds. However, if you have more data points, you can use regression analysis or other statistical methods to determine the best fit equation for the calibration curve, which can provide more accurate results.