Spectrophotometric Determination of Iron

by E. L. Pool and D. Copeland (with edits by R. Sandwick and M. J. Simpson)

Learning Goals

  1. Practice handling hazardous chemicals safely;
  2. Use a bunsen burner to heat a solution;
  3. Vacuum filter a solution;
  4. Practice using a transfer pipet and a mortar and pestle;
  5. Manipulate experimental conditions to illustrate the concept of limiting and excess reagents;
  6. Use Beer’s Law to create and apply a calibration curve for quantitative analysis;
  7. Consider the consequences of the limitations of the spectrophotometer and the analytical balance.

Introduction

You will use spectrophotometry to determine the amount of iron in a multivitamin to see if the manufacturer’s claim is correct. Iron itself is not a huge absorber of light, but when it (in solution in the Fe2+ form) binds to 1,10 phenanthroline (C12H8N2), it forms a highly stable red/orange-colored species. By quantifying the color with spectrophotometry, we can deduce the concentration of iron in the solution and back-calculate the amount of iron in the original pill. This can be compared to the manufacturer’s claim.

phenanthroline1,10 Phenanthroline

Background

The formation of the red/orange-colored iron-phenanthroline complex requires the iron to be in the Fe2+ form, and the procedure thus includes the reagent hydroxylamine hydrochloride (NH2OH ● HCl) that will reduce all iron in the sample to the ferrous form. Sodium acetate (NaC2H3O2) is used to control the pH of the solution since this also affects the absorbance.

The red/orange iron-phenanthroline complex absorbs light at 508 nm, which is green light. This should make sense if you remember the Kool-Aid lab. To quantify the intensity of the color, you can use the spectrophotometer to measure the “absorbance.”

A key assumption in this experiment is that all of the iron will be converted to the colored complex, meaning there must be excess phenanthroline present. In preparation for the experiment, you will analyze the effects of varying the amounts of the two reagents that are directly involved in the production of the colored complex: the iron and the phenanthroline. This will show you the conditions under which this assumption is valid (or not!).

Once you measure the absorbance of the pill solution, how will you know how to correlate the absorbance with a concentration?  One way is to know the extinction coefficient and to plug the appropriate numbers into Beer’s law. Another way is to prepare iron standards and to generate a standard curve of absorbance versus iron concentration. This latter technique is preferred as it accounts for any small changes one might have in her/his particular laboratory situation. We will use this method in our iron determination.

An online tutorial of this lab is available here.

Procedure

Note: do this lab with a partner.

Sample (Unknown) Preparation

The sample preparation requires crushing a pill, boiling the powder in acid to release the iron, and filtering the solution to remove particulates that could interfere in the spectrophotometry measurements.

  1. Each pair should obtain one vitamin pill. Determine the mass of the pill. Using a mortar and pestle, crush the pill into a fine powder. (You can take your angst out on the pill, but be careful none of it escapes the mortar.) Transfer the pulverized pill powder quantitatively to a 400 mL beaker. Determine the mass of the powder. In your final calculations, you will need to scale up your final iron concentration in the pill to account for any powder that you did not use.

    Apparatus to heat a solution

  2. Add approximately 150 mL of 1.0 M hydrochloric acid (HCl) [CAUTION!]. Add a few boiling chips. Use an apparatus similar to the illustration to heat the solution to near boiling (simmer) and keep heating at that temperature for 10 minutes. Do not leave your solution unattended. Avoid loss by splattering. Record observations about the appearance of your solution.
  3. Set up a vacuum filter apparatus with a Buchner filter, a vacuum flask, and a piece of filter paper. Hold the flask firmly or clamp it to a ringstand so it does not tip over. Pour 50 mL of DI water through the filter first, then turn on the vacuum and pour the hot solution through the filter. Your final solution should be clear and yellow. Record observations about the clarity of your solution in Table 3.
  4. Pour the filtered solution into a volumetric flask. Dilute to exactly 1.000 L with distilled water and mix thoroughly.

Solution Preparation

  1. Label 7 clean test tubes with the concentration of iron that they will contain (in units of mg/L): 0, 5, 10, 15, 20, 25, and the unknown vitamin solution.
  2. Label 4 small beakers with the reagents you will acquire from the stock solutions: sodium acetate, hydroxylamine HCl, 1,10-phenanthroline, and DI water. Fill these beakers with about 10 mL of their respective reagent. Put a plastic pipet in each. 
  3. To each test tube, add 1 mL of each: sodium acetate, hydroxylamine HCl, and 1,10-phenanthroline. Note: you are using a concentrated phenanthroline solution that ensures it is in GREAT excess.
  4. To each test tube, add appropriate amounts of water and/or 25 mg/L iron stock solution to make a total of 5 mL of the concentration of iron specified on the label. Record the amounts of water and iron stock solution you used in Table 4. In the vitamin solution test tube, put 5 mL of the vitamin solution. 
  5. Mix test tubes with gentle agitation and let the reaction complete for 10 minutes. Although you should use this time wisely, I advise against cleaning up, as you may need to remake a solution or two before the lab ends.
  6. Record observations about the color change and any trends you notice in Table 4. Note in your observations what concentration iron solution appears most similar to your vitamin sample. Pro-tip: these qualitative measurements should agree with your quantitative spectrophotometric measurements that you make in the next step. Your eyes are good spectrophotometers, and something is probably wrong if the quantitative measurements disagree with your visual inspection.

Spectrophotometric Analysis

  1. Get 7 clean cuvettes in a cuvette tray. Label them with the concentration of iron that they will contain (in units of mg/L): 0, 5, 10, 15, 20, 25, and the unknown vitamin solution. Transfer approximately 1 mL of each solution from its test tube to its corresponding cuvette.
  2. Using a Spectronic 401 at 508 nm, read and record the Absorbance (A508) of your solutions. Record this data into Table 4.

Clean up

Check that your data in Table 4 increases linearly from low concentration of iron to high concentration of iron before cleaning up any part of your experiment. Ask your TA for help neutralizing the pill solution, then pour it down the drain. Pour the contents of the test tubes and cuvettes into the waste container. Throw away the cuvettes.

Data Analysis

The absorbance measurements of the standard solutions are used to determine the concentration of iron in the pill solution, which is used to determine the amount of iron present in the original pill. You can plot the concentration versus absorbance, then perform linear regression to find the formula that relates concentration and absorbance.

With this formula, you can simply plug in the pill solution absorbance and calculate the unknown concentration of iron in the pill solution. Using the concentration of iron in the pill solution, calculate the amount of iron present in the original pill. (Note: you will have to scale up your value to account for mass lost between the original pill and the pill powder.) You can then compare this value to the amount listed on the bottle in terms of percent error. The percent error is the absolute difference between the experimental and theoretical value divided by the theoretical value, then multiplied by 100 to get a percent.

Report

Fill out this worksheet. Turn in either a paper or digital copy. Optional survey.

Chemistry of Colors

by M. J. Simpson
spectrum

Introduction

Colored chemicals absorb and sometimes emit light in the visible portion of the electromagnetic spectrum, which is 400 – 700 nm. Absorption occurs when an electron absorbs the energy from the light, temporarily promoting the electron to a higher energy orbital. Light emission can occur when the electron relaxes back to the ground state and produces light, but emission is less common than absorption because there are non-radiative ways for the electron to relax.

carrots

circle

Unless a chemical is emitting light, the color that a chemical absorbs is the opposite of the color that it appears. The color wheel shows which colors are opposite. For example, -carotene, a pigment found in many fruits and vegetables including carrots, absorbs purple and blue light (400 – 500 nm), so it appears yellow/orange.

In today’s lab, you will investigate a variety of colored dyes. In the first part of the lab, you will use paper chromatography to determine the number of dyes present in your Kool-Aid packet. Then, you will measure the absorption spectrum of several food dyes and your Kool-Aid packet. This will allow you to identify the dye(s) present in your Kool-Aid packet. In the second part of the lab, you will use prepared dyes to alter the absorption properties of a cellulose t-shirt, which does not absorb visible light in its natural state.

Procedure

Paper chromatography experiment

chromotograpguPrepare a dilute salt water solution using approximately 0.1 g of NaCl per 100 mL of DI water. Take a small amount of your Kool-Aid packet. Mix with a few drops of water to make a dark-colored slurry. A good concentration is about 15% wt. Kool aid powder in water. Using a wooden stick, make a dot of the mixture on a rectangular piece of filter paper about an inch from the bottom. Wait for it to dry. If it is not clearly visible, make another dot in the same spot. You can accelerate the drying process by blowing air on it. Suspend the paper in a beaker containing a small amount of salt water using the same wooden dowel. Allow the filter paper to just touch the top of the water (you don’t want the water to touch the spot of Kool aid). Leave the paper in the water until the dye(s) sufficiently separate or until you are sure there is only one dye present (wait at least 10 minutes).

Measuring the absorption spectrum of dyes and Kool-Aid

Microplate reader

Microplate reader

Mix up the Kool-Aid solution with DI water in a beaker according to the packet’s instructions. You will only need a small sample of the Kool-Aid, so you may want to scale the instructions on the packet to mix up a small portion of the Kool-Aid. Use a micropipette to put a 200 μL sample of each dye and of your Kool-Aid mixture in a microplate and measure the absorption spectra with the microplate reader. Be sure to also run a blank sample of pure water. Record the major peak(s) present in each spectrum in a table. If you have never used a micropipette before, read these instructions for use of a micropipette. If your Kool-Aid absorbance measures greater than 1 at any wavelength, dilute the solution and try again. Be sure to record in your notes how you diluted it. Note: “tropical punch” flavor must be diluted extra.

 

Report

Use this worksheet for collecting your data. For the lab report, you and your partner will be making a poster using either PowerPoint or Illustrator. Use photographs of your experiment and the graphs and tables you generated during the experiment to make a visually appealing and informative poster. It should include the following:

  1. A concise, descriptive title;
  2. A brief abstract summarizing the experiment and the results;
  3. A short introduction to the question you are answering;
  4. A summary of the procedure you used (including photographs);
  5. The results you found in the form of tables and graphs;
  6. A discussion of the results, which must answer the following questions:
    • How many dyes are present in your Kool-Aid? How did you know?
    • What dye(s) are present in your Kool-Aid? How do you know?
    • How do your results compare to the ingredients listed on the packet? If your results disagree with the ingredients list, what may have caused the disagreement?
    • What are some sources of uncertainty? How might you resolve them?
    • What other experiments could you do to confirm your results?
  7. A conclusion summarizing your findings.

Use this website for help creating an effective poster. Turn in an electronic version of your poster on Canvas and also post a .pdf version on the shared folder. We will present them on a high resolution screen, but if you would like to print a full size version, there is a plotter in the library you can use.

Penny Statistics

adapted by M. J. Simpson and R. Sandwick from a lab originally written by by K. Jewett and S. Sontum
pennies

Learning goals: analyze experimental data, formulate a logical conclusion, explain likely sources of experimental error

Introduction

A basic understanding of statistics is required in most scientific disciplines in order to analyze experimental data. For example, statistical analysis tells a pharmaceutical company whether or not a new drug is effective. One of the most common statistical tests is Student’s t-test, which helps to determine whether two populations are significantly different. The critical value that comes out of a t-test represents the probability that the populations are NOT significantly different. A common definition of “statistical significance” is p < 0.05, although this has been a topic of recent debate. This laboratory is designed to give you an introduction to routine techniques such as weighing and performing basic calculations and statistics.

Background

In 1795 at the age of eighteen a German mathematician Karl Friedrich Gauss devised the Gaussian curve or normal distribution (symmetrical about the average) in which the scatter of a data set is summarized by the standard deviation, or spread, of the curve. Gauss found that the best estimate of the area of uncertainty was the standard deviation, which for N measurements is given by:

The Gaussian curve has turned out to be a nearly universal description of the distribution of random data sets. Student’s grades measured by an exam follow this bell shaped curve, as well as the distribution of the weight of each grain of wheat in a field or the repeated measurements of the weight of a single wheat grain. In the bell shaped Gaussian curves depicted above, 67 % of the points fall within one standard deviation on each side of the average while 95 % of the points are with ± 2 standard deviations around the average.

http://imgs.xkcd.com/comics/p_values.png

When two averages are two standard deviations or more apart we can say they are significantly different at a 95% confidence level, which corresponds to p = 0.05. The smaller the p value, the more confident you can be that the two averages are significantly different.

In today’s lab, you will determine whether or not there are more than one kind of U.S. minted penny based on the mass of the pennies. You will record the masses of pennies, perform statistical analysis on the raw data, and draw conclusions based on those analyses.

Procedure

Each group will pick 20 pennies out of the pool. Weigh each to four decimal places and record the mass and the year in a table. If you have never used an analytical balance before, consider reviewing this information.

Statistical Analysis

Try to group the pennies into two groups with significantly different average masses. Calculate the averages and standard deviation for the two groups. Then, calculate the p-value for the hypothesis that there are two kinds of U.S. minted pennies. This is the equation for the t-value, which you can use to look up the p-value on the t-table. Alternatively, you may use Excel or some other software to calculate the p-value, but you must understand the math in order to answer the post-lab questions. Here is an example to show you how to do the math on Google Sheets.

Note: the number of significant digits for the average depends on the standard deviation. The last significant digit of the average is the first decimal place in the standard deviation. For example, if your average is 3.025622 g and your standard deviation is 0.01845 g, then this is the correct number of significant figures for the average: 3.03 g, because the first digit of the standard deviation is in the hundredths place, so the last significant digit of the average is in the hundredths place. For the p-value, just report the range. For more information about significant figures, refer to this tutorial.

Report: Fill out the worksheet for the report. Turn in either a paper or digital copy. Optional survey.