Title | depth study 123 |
---|---|
Course | Inquiry Into Life Science |
Institution | University of Northern Iowa |
Pages | 31 |
File Size | 2 MB |
File Type | |
Total Downloads | 39 |
Total Views | 146 |
Investigation on different stain removers...
Part A:
Investigating the effectiveness of 3 different stain removers on removing red stains. Introduction: Laundry is a basic part of life and yet one that many people don’t give a second thought to until they encounter a stubborn stain that is hard to remove. Through this experiment, I will be investigating which detergent is the best for removing red stains using spectroscopy. Spectrophotometry is a useful method of quantitative analysis that is mostly used to measure things. For example, it can be used to measure a chemical substance that absorbs light by measuring the intensity of the light beam passing through a solution.(Research Methodology in Zoology, 2020) In other words, spectroscopy can measure the amount of an unknown substance. Stains are sorted into four different types: Enzymatic, Oxidisable, Greasy and Particulate stains. However, some stains can have a number of components, which can fit into multiple stain types. For example, the tomato sauce would have a coloured, oxidizable component, but would probably also be part greasy. (The Chemistry of Stain Removal, 2020) More specifically, when looking at the stains we are looking at Oxidisable stains (beetroot juice, tomato sauce and red wine) and Greasy stains (also tomato sauce). Oxidisable stains are stains that are usually brightly coloured, such as juice. Oxidisable stains can be removed by hydrogen peroxide and peracetic acid. Which oxidise coloured substances to colourless ones by breaking down chromophores, sections of chemical structures that can cause colouration. (Stains such as inhibiting dye transfer during - Summary Writing Examples, 2020) Hydrogen peroxide breaks down colour-causing sections of chemical structures, removing the appearance of the stain. Hydrogen peroxide is usually used in the form of sodium percarbonate, which releases hydrogen peroxide when combined with water.(The Chemistry of Stain Removal, 2020) For greasy stains, surfactants remove the stain as it helps oil and grease dissolve in water. They are molecules that have a water-soluble ‘head’ and oil-soluble ‘tail’. They form spherical structures called micelles around oil droplets, which then allow them to dissolve in water. Red wine: Basic ingredients: Yeast, water, sugar, sulfur dioxide, potassium sorbate and potassium metabisulfite, powdered tannins, grape juice concentrate, flavours and calcium carbonate. (Chemistry of Wine Making, 2020)
The colour of red wine is made out of chromogens, which are the primary substance in many plants that can be transformed into dyes.The tannins in red wine can also be used in ink production. Tannin is a natural vegetable dye found in many plants such as grape skin. Tomato sauce: Basic ingredients: Tomatoes, salt, sugar, food acid, olive oil, vinegar and sugars.
Tomato sauce contains tannins and lycopene which is a pigment in tomato sauces. Lycopene is the pigment that gives red and pink foods their characteristic colour. Another staining component of tomato sauce is oil. Beetroot juice: Beetroots are widely used as food colourant due to its red colour from the pigment betalain mainly from betanin, betanidin, and betaxanthin. Betalains are commonly used as food colourants which are the water-soluble pigments that give beetroot their vivid colour. (Betalain-rich Concentrate Improves Exercise Performance, 2020) Electromagnetic spectrum: The electromagnetic spectrum describes different types of radiation, including visible light, which differ based on their wavelengths. Light travels as a wave (transverse waves) at very high velocities. Waves carry energy, some more than others. High-frequency waves (high energy waves) include gamma rays and X-rays. As they are high frequency, this means they’re able to penetrate materials to greater depths. Higher the frequency= more damaging it can be to living tissues. Low-frequency waves, e.g radio waves, don't carry as much energy and therefore don’t have as much penetration.
(Youtube,2020)
The electromagnetic spectrum consists of waves varying in wavelength. Including visible light, infrared radiation and ultraviolet radiation. Blue-green light (500nm) is the most effective wavelength for humans. Either side of the wavelength in the red and ultraviolet areas are less effective in humans but are used by other organisms. Humans can detect light in the region of 380-760nm in wavelength. Violet has the shortest wavelength, at around 380nm, blue is around 450-490nm red has the longest wavelength at around 700nm.
(Youtube,2020)
([duplicate], Kareem and v, 2020)
Visible light is a kind of electromagnetic radiation. This means it's a type of energy which travels through the universe as a wave. These light waves can have differences in energy in different colours. High energy light appears purple; low energy light appears red. And then all of the other colours fall in between. When the light comes into contact with an object, it's either: Absorbed or reflected. These reflected light rays are what our eyes can detect and used to create images of the objects in our environment. Light reflects off objects. These reflected rays enter the eye through the pupil. Past through the lens and the jelly-like fluid inside of the eye and is detected by receptor cells at the back of the eye and is called the retina. We refer to these receptors as photoreceptors because they can sense light. When these photoreceptors are activated by incoming light waves, they generate a nerve impulse that is then sent to the visual centres of the brain via the optic nerve. In the brain, these messages are interpreted as images. Spectroscopy: Spectrophotometry is a useful method of quantitative analysis. It is used to measure how much a chemical substance absorbs light by measuring the intensity of light as a beam of light passes through a sample solution. This measurement can also be used to measure the amount of an unknown substance. (Spectrophotometry, 2020)
Aim: To investigate the effectiveness of 3 different stain removers on red wine, beetroot juice and tomato sauce.
Equipment: Part one: ● Electronic scales ● 15x Sheet squares ● Pipette ● 15x Pegs ● 1m piece of fishing line ● 2x retort stands ● Spatula ● Phone camera ● Small beaker ● 4x large beakers ● 1L of warm tap water (46 °) ● Red wine ● 2x A4 pieces of paper ● Permanent marker Part two: ● Spectroscopy program ( via personal phone) -Colour assist life
Method: Part One: 1. Collect all necessary equipment 2. Weigh out 1.99g of the Di-San laundry soaker, I.75g of the Ultra laundry booster and soaker, and 1.07g of the Vanish laundry soaker. 3. Label 4 large beakers: B1 (water), B2 (Dis-San), B3 (Ultra), B4 (Vanish) 4. Pour the 3 different stain removers into respective beakers, mix in slowly clockwise 5x 5. Set aside 1 piece of sheet square for control 6. Squirt one full pipette of red wine (3ml) onto one piece of square sheet 7. Repeat step 6 two more times 8. Place the 3 stained sheet squares on an A4 piece of paper 9. Repeat step 6 3x and place into beaker labeled B1 10. Start timer for 30 minutes, record time on a seperate piece of A4 paper 11. Repeat step 6 3x and place the 3 stained sheets into beaker labeled B2 12. Repeat step 10 13. Repeat step 6 3x and place into beaker labeled B3 14. Repeat step 10 15. Repeat step 6 3x and place the 3 stained sheets into beaker labeled B4 16. Set up drying station using fishing line and 2x retort stands 17. After 30 minutes is up for each beaker, remove one by one and hang on the fishing line via peg.
18. Label the 15pegs: 1x DC(Dry control), 2x WC (Wine control), 3xD-S (Di-San), 3xU (Ultra) and 3x V(Vanish) 19. Allow to dry overnight 20. Using the colour assist life app, hold all sheets one at a time against the window and record red results into a table 21. Collect collaborative work results, and place data into table
Part two: 1. Sort out dry stained sheets into their groups (Control, Wine control, Di-San, Ultra, Vaish) 2. Using the Color Assist life app, one by one measure the amount of red all sheets 3. Record the red absorbance in a table
Results: Collaborative change in red, red wine: Trial Treatment Person 1
Person 2
Person 3
Average
Water
27.5
5.6
30.2
21.1
Water + vanish
24.3
8.8
31
21.4
Water + Ultra
3.7
7.4
37
16
Water + Di-san
4
31.3
12.5
15.9
Collaborative change in red, tomato sauce: Trial
Treatment Person 1
Person 2
Person 3
Average
Water
11.3
38.8
1.3
17.1
Water + vanish
9.5
23.8
6
13.1
Water + Ultra
36.5
19.3
16.5
24.1
Water + Di-san
23.5
36.3
0
29.9
Collaborative change in red, beetroot juice: Trial
Treatment Person 1
Person 2
Person 3
Average (1.dp)
Water
22.4
16.7
3.9
14.3
Water + vanish
45.3
5
9.8
20
Water + Ultra
53.2
27.5
9.8
30.1
Water + Di-san
22.4
16.7
4.8
14.6
Best to worst stain remover method Stain remover Beetroot
Red wine
Tomato sauce
Total
Di-san
3
4
1
9
Vanish
2
1
4
7
Ultra
1
3
2
6
Water
4
2
3
8
Discussion: Independent variable: stain remover Dependent variable: the amount of red value Controlled variables: environment, equipment By observing the graph and table above we can see that the ultra detergent was the most effective in removing the red value from the square sheets. With U/ beetroot 1, U/Red wine 3 and U/Tomato sauce 2. Vanish came second with beetroot being 2, red wine 1 and tomato sauce 4. Water came third, with w/beetroot 4, red wine 2 and tomato sauce 3, and Di-san coming last with beetroot 3, red wine 4 and tomato sauce 1. Reliability: Although measurements and observations were repeated multiple times over with 3+ students testing each stain, I believe our results still were not 100% reliable as most results were not similar. This could be improved by repeating this experiment with the exact same method. Validity: -Internal: The experiment was internally valid as all groups followed the same standard steps of the scientific method, only one variable was changed, and the test results made logical sense. ( Study
validity 2020)Validity could be improved by using a thermometer to test the temperature of the water to ensure all groups are using the same temperature water. -External: The experiment is also externally valid as the conclusion from the experiment provides a valid result. However, the experiment should be redone to ensure there are no alternative results.
Accuracy: The experiment was not accurate as everyone used different phones and backgrounds when measuring the absorbance, this had a major impact on the experiment as the lighting was different. This could have been improved by all groups testing the absorbance against the windows and using the same phone when measuring the red absorbance.
Conclusion: In conclusion, when determining the best stain remover for red wine, tomato sauce and beetroot juice, it was shown that Ultra was the most efficient stain remover, followed by vanish, water and then di-san.
Appendix: Class results: Red wine- charli Day 1: Solutions
Amount of red value 1
2
3
Average
Dry control (sheet on its own)
255
N/A
N/A
255
Wine control
115
174
91
126.3
Water
142
89
69
100
Vanish
123
121
143
129
Di-San
156
131
190
159
Coles ultra
118
134
141
131
Day 2: Solutions
Amount of red value 1
2
3
Average
Dry control (sheet on its own)
255
N/A
N/A
255
Wine control
117
178
82
125.6
Water
133
148
162
107.6
Vanish
102
137
191
143.3
Di-San
88
114
170
124
Coles ultra
144
103
137
128
Day 3: Solutions
Amount of red value 1
2
3
Average (1.dp)
Dry control (sheet on its own)
255
N/A
N/A
255
Wine control
225
152
170
192.3
Water
155
162
146
154.3
Vanish
110
94
94
99.3
Di-San
156
153
211
173.3
Coles ultra
195
197
198
196.6
Regan’s results - red wine: Vanish
Trial 1
Trial 2
Avg
controlled
165
164
164.5
water
122
132
121
Water + detergent
115
127
141
Ultra
Trial 1
Trial 2
Avg
controlled
184
168
176
water
136
146
141
Water + detergent
130
140
135
Di- san
Trial 1
Trial 2
Avg
controlled
178
173
175.5
Water
166
161
163.5
Water + detergent
154
156
159.5
Red Wine - Jarrad Taylor Vanish: control
water
vanish
Test 1
152
182
199
Test 2
200
182
207
Test 3
191
204
185
Averages
181
189.
197
control
water
Ultra
Test 1
157
168
167
Test 2
205
212
196
Test 3
221
204
207
Averages
194.3
194.6
190
control
water
Di san
Test 1
194
165
144
Test 2
202
171
159
Test 3
172
159
151
Averages
189.3
165
151.3
Ultra:
Di-San
Maddi’s Red wine Trial 1
Di San
Ultra
Vanish
Water
131
150
131
Water + detergent
129
146
131
Controlled
151
158
152
Trial 2 Di San
Ultra
Vanish
Water
172
125
139
Water + detergent
148
116
128
Controlled
182
147
153
Olivia's Beetroot Amount of red beetroot Trial 1
Trial 2
average
control
179
161
170
water
167
140
153.5
Disan + water
139
137
138
Red difference between control and water
40
24
32
Red difference between water and water + detergent
28
3
10.5
Trial 1
Trial 2
average
control
149
157
153
water
115
121
118
Vanish + water
109
111
110
Red difference between control and water
40
46
43
Red difference between water and water + detergent
6
10
8
Amount of red beetroot
Amount of red beetroot Trial 1
Trial 2
average
control
146
139
142.5
water
124
130
127
Ultra + water
101
103
102
Red difference between control and water
45
36
40.5
Red difference between water and water + detergent
23
27
25
Adam’s - Beetroot Trial 1
Trial 2
Vanish
Control
Water
Water + Detergent
Control
Water
Water + Detergent
Red reading
174
167
170
178
152
151
Trial 1
Trial 2
Ultra
Control
Water
Water + Detergent
Control
Water
Water + Detergent
Red reading
121
153
100
170
117
156
Trial 1
Trial 2
Di-San
Controlled
Water
Water + Detergent
Controlled
Water
Water + Detergent
Red reading
118
104
220
172
140
148
Ken’s beetroot Trial 1
Di-san
Trial 2
Controlled
Water
Detergent
Controlled
Water
detergent
115
116
113
150
122
136
Trial 1
Vanish Gold pro
Trial 2
Controlled
Water
Detergent
Controlled
Water
Detergent
117
104
115
117
110
124
Trail 1
Ultra Oxy action
Trail 2
Controlled
Water...