Spectophotometry uses the principles of light and color to help idenfiy concentraions of various compenents in a solution.
Wavelengths of light are associated with various colors due to their frequency. When light hits an object or solution (like a plant leaf in the figure at right), wavelengths are either absorbed or reflected/transmitted. We see color based on the associated wavelengths that are transmitted or reflected. We do not see the colors associated with the wavelengths that are absorbed. For example, view the absorption spectrum for typical plant pigments (graph). The graph shows that when light hits a plant, purple, blue, red, and orange wavelengths have high absorbance values, meaning they are mostly absorbed by the plant and we don not see these colors. Green and yellow wavelengths have low absorbance values- meaning they are reflected... this is what gives plants their green color! When a color-sensitive indicator is used the absorbance values are directly proportional to the concentration in the solution.
Spectrometers provide the absorbance values for a given sample by passing a specified wavelength through the sample at a constant distance (see below). |
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REMEMBER! You are designing this experiment so you get to chose the variable you are interested in. Your options include: wavelength of light (with colored lenses), type of light, amount of light, temperature (hot, cold), addition of fertilizer, herbicide or pesticide, or concentration of chloroplasts.
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Lab 8: ProtocolIn today's lab you will work with your lab group to develop a research proposal, conduct your experiment and begin to analyze your data.
Exercise I. Develop a research proposal Exercise II. Conduct your experiment Exercise III. Begin to analyze your data |
Prepare your spectrometer. |
Begin your experiment & collect your data! Everyone should be recording the data as you proceed through your experiment. This decreases the likelihood of mistakes as you move through your experimental design. This MUST be done in Excel. Please use this table in Excel as a guide for data collection. Once you've collected your data, show them to your instructor before moving on. |
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Part I. Add to our Research LibraryHelp us build a better research library. Please find at least one reference that would be relevant to add to our on-line library for this experiment.
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Part I. Post Lab Analysis |
Procedure
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Spectrophotometry is an increbly useful technique! This virtual lab is meant to give you sense of what this technique is like and how it can be used. Hopefully you'll get to use this skill later on in other classes.
The solutions you will prepare in step 2 below will closely mirror the possible colors of the DIP solutions we would have used in lab, meaning the model we will create from these solutions to applicable to DIP and will be used in Exercise III.
AnalysisProcedure
Remember: Statistics solve the problem of determining if "more" or "higher" or "different" than is actually enough to be important and biological relevant. Using the principles of probability, they help us parse what we observe from randomness (chance alone) as meaning (a real difference, or a real relationship). Statistics tell us how likely we would be to make the same observations we have made, if chance and randomness were the only drivers. If the probability is very low (<5%), we refer to these patterns as significant.
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The data generator used to create the original photosynthesis data sheet contained an error. If you feel your results are counter intuitive and you'd like to give it another shot, please use these "new data" for analysis.
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Each team member MUST submit your poster individually in blackboard before the due date/time. You can turn in a completed draft for feedback before you final is due is you would like. Final posters will not be accepted late, even if others from your group already turned them in. Currently, your final poster is due the week of Apr 13 - 17. The template on the right has detailed directions for each section.
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