The Working For A Major Cola Company

The preparation for the experiment started by gathering the solutions of enzyme Peroxidase, substrate hydrogen peroxide, the indicator guaiacol and distilled water. Two small spectrometer tubes and three large test tubes with numbered labels. In addition, one test tube rack, one pipet pump and a box of kimwipes were also gathered. Before the experiment, the spectrometer must be set up to use by flipping the power switch to on. Following, the machine was warmed up for 10 minutes and the filter lever was moved to the left. In addition, I set the wavelength to 500 nm with the wavelength control knob. Before the experiment, I had to create the blank solution by pipetting 0.1 ml of guaiacol, 1.0 ml of turnip extract and 8.9 ml water into tube #1. Following the creation of the blank, a control 2% solution was created.

From this graph and chart we can see that the higher the concentration the higher the absorbance, all the different concentrations were tested at the same wavelength (625nm). Also we can determine our unknown substances concentration by using the absorbance we got for it. The red dot on the graph followed by the line towards the horizontal axis indicates that the concentration of fast green was 34% or 5.1x10-3.

The same solution of 0.5 ml BSA was then added from test tube 1 to the test tube 2 after being properly mixed, and from test tube 2 the solution was being added to test tube 3, and so forth all the way up to test tube 5, with the same exact procedure. From the last tube, we then disposed the 0.5 ml solution. After above procedures, we now labeled another test tube “blank”; 0.5 ml blank distilled water was purred into the tube with the serial dilution of 1:10. We also had a tube C labeled “unknown” with the same 0.5 ml of solution. And after adding 5ml of Coomassie Blue to each tube (1-5) and to the blank, the result of absorbance was read at 595 nm.

Scientists use an instrument called a spectrometer to quantitatively determine the amount of light absorbed by a solution. The primary inner parts of a typical spectrometer are described below. The spectrometer has a light source that emits white light containing a vast mixture of different wavelengths of electromagnetic radiation. The wavelength of interest is then selected using a monochromator (“mono” meaning one and “chromate” meaning color) and an additional exit slit. The separation of white light into different colors (wavelengths) is known as diffraction. The selected light then reaches the sample and depending on how the light interacts with the chemical compound of interest, some of the light is absorbed and some passes straight through. By comparing the amount of light entering the sample (P0) with the amount of light reaching the detector (P), the spectrometer is able to tell how much light is absorbed by the sample.

Make sure to use the same type of cuvette to keep the width consistent and to prevent any experimental error from arising. Obtain 5 of the same type of cuvettes and pre-rinse them thoroughly. Label them numbers one through five in increasing molarity. Then, fill each of the cuvettes with one of the five solutions you created back in Part A. We will first examine the solution that exhibits the highest concentration or molarity. Make sure to wipe the outside of the cuvette with a Kimwipe before placing into the SpectroVis Plus device. Observe the graph that is generated and make sure to take note where the maximum absorbance takes place.

The dark, navy blue colored graph represented the absorbance curve for the S1 sample. The red colored graph represented the absorbance curve for the S2 sample. The green colored graph represented the absorbance curve for the P1 sample. The purple colored graph represented the absorbance curve for the P2 sample. The gaps between the P2 curve was due to the oversaturation that led to the inconclusive spectrophotometer readings. The blue colored graph represented the absorbance curve for the P1 low salt sample. The orange colored graph represented the absorbance curve for the P2 low salt sample. The light blue colored graph represented the absorbance curve for the P1 medium salt sample. The light pink colored graph represented the absorbance curve for the P2 medium salt sample. The light green colored graph represented the absorbance curve for the P1 high salt sample. The light purple colored graph represented the absorbance curve for the P2 high salt

5. The degree of precision was to 3 significant figures obtained with the spectrophotometer. The major source of error in our experiment was not calibrating the spectrophotometer with distilled water.

3. The spectrophotometer was set at 420nm. Distilled water was also used as the ‘blank’.

Incorporation of assay controls included setting up a spectrophotomer and running the chart recorder with a full-scale deflection before the start of the assay. The set recorder had a corresponding value of 1 for the change in the absorbance. Therefore, prior testing was done to observe whether a change occurred in the readings. This helped to indicate that the results were valid, as they could have been affected by a fault during the setting up of the spectrophotometer. On the other hand this was considered as one of the controls for the experiment. Nevertheless, a new cuvette had to be used for each assay.

8) Steps 1 - 8 were repeated using the wavelengths of 360 nm to 900

concentration, record the absorbance readings at a fixed wavelength, and plot the absorbance vs. concentration data. The wavelength of 520 nm was selected for experiment Part

Then measured the absorbance of blue fractions that are within 5% of before and after the absorbance of the darkest blue one. Repeated the same steps with the yellow fractions, measured them at 440nm.

Coca Cola Enterprises (CCE) embarked on a massive makeover of their information system in 2004 converting over to the SAP software. (http://www.beveragedaily.com/Formulation/CCE-SAP-join-forces-to-improve-supply-chain) This included a major overhaul of their legacy system and working with SAP to develop an app specifically for them. When this venture began in 1999 we must remember that the Spilt of Coca Cola Enterprises becoming an operation solely based in Europe had not occurred. Thus the implementation for SAP was not only in North America, but Europe also. Throughout the paper we will discuss how this conversion went and what exactly went and what effects

Coca-Cola has been around for generations with the same iconic taste, logo and symbolism. Its brand has represented family and the memories of good times, celebrations and comfort of being with those we love. Unfortunately, the company has not made good marketing decisions in the recent past and has lost relevancy. The purpose of this essay is to assess the conditions that created Coca-Colas marketing problems, evaluate the future of healthy beverages and non-carb drink brand extensions, and provide recommendations to the management.

In 1886, Coca-Cola was born in Atlanta, Georgia, United States of America, which brought refreshing and wonderful feeling to people around the world. According to current statistics, 1.7 billion consumers around the world are drinking Coca-Cola products every day, and Coca Cola sold about 19,400 bottles per second, Coca-Cola Company owned more than 500 soft drinks and non-carbonated beverage subsidiaries, providing 1.9 billion cups per day Coca-Cola products to consumers in more than 200 countries around the world, and it also commitment to promote sustainable development and environmental protection by its energy-saving ideas in a long term. We decided to choose the Coca-Cola Company as the objective to investigate.