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Test Detection of Fats, Proteins and Carbohydrates
Test Detection of Fats, Proteins and CarbohydratesQuestion 1
Carbohydrate It is a compound which contain hydrogen, carbon and oxygen. The biomolecule can be a polyhydroxy ketone, polyhydroxy aldehyde or any other compound which yields that after acid hydrolysis
Protein It is an organic compound which comprises of hydrogen, carbon oxygen and nitrogen. Sometimes it contains phosphorous and sulphur
Mona saccharide It is the simplest carbohydrate. It cannot be hydrolysed to any simpler form
Fatty acid This is a compound which comprise of hydrocarbon chains which are terminated with carboxylic acid groups.
Acid hydrolysis It is a chemical reaction which involves breaking down of an acid in the presence of water
Triglyceride It is also called a fatty acid. They are compounds which comprise of three carboxylic acids and triesters of glycerol
Question 2
Glucose + Copper hydroxide →gluconic acid+ water+ copper oxide
Question 3
Starch d-glucose
sucrose Glucose and fructose
Glyceryl tristearate Glycerol and acid
Protein (give the general products) Ammonium and carboxylic acid
Section B
Question 1
Molisch test
Sample Precipitate colour
Deionized water (the control) Colourless
1% glucose solution Purple ring at the junction of two liquids
1% sucrose solution Purple ring at the junction of two liquids
1%lactose solution Purple ring at the junction of the two liquids
1%starch solution Purple ring at the junction of the two liquids
Carbohydrate which gave a positive test lactose, starch, glucose and sucrose
Question 2
Benedict test
Sample Precipitate colour
Deionized water (the control) blue
1% glucose solution orange
1%sucrose solution blue
1% lactose solution orange
1% starch solution blue
Carbohydrate which gave a positive test quickly is glucose and lactose
Question 3
Iodine test
Sample Solution colour
Deionized water (the control) brown
1% glucose solution brown
1%sucrose solution brown
1%lactose solution brown
1%starch solution Blue-black
Which carbohydrate gave a positive test starch: 1% starch solution
B. Tests for Detecting Fats: Grease spot test.
Describe your observation: There was formation of a translucent patch indication of fats.
C. Test for Detecting Protein
1. Xanthoprotic Test
Sample Color before Adding NaOH Color After Adding NaOh
Deionized water Clear Clear
1% biuret solution Clear clear
2% biuret solution Clear clear
2% tyrosine solution Light yellow Dark yellow
% egg-albumen solution Light yellow Dark Yellow
2% glycine solution Clear Clear
Which Samples gave a positive test: tyrosine, egg-albumen, glycine
2. Biuret Test
Sample Solution Color
Deionized water colorless
1% biuret solution Blue color
2% biuret solution Blue color
2% tyrosine solution Blue color
% egg-albumen solution Violet color
2% glycine solution blue
Which Samples gave a positive test: albumen
Was there any difference between the two biuret samples? If so describe
3. Ninhydrin Test
Sample Solution Color
Deionized water yellow
2% tyrosine solution purple
% egg-albumen solution blue
2% glycine solution Deep purple
Which samples gave a positive test: tyrosine solution and glycine solution
D.
Food 1
Description of the Food- Food 2
Description of the Food –
Carbohydrate test: Benedict’s test gives an orange or red precipitate at the end of the test indicating presence of carbohydrate Carbohydrate test: Benedict’s test gives an orange or red precipitate at the end of the test indicating presence of carbohydrate
Fat test: Grease spot test, B Fat test: Emulsion test: gives a less clear solution after the test indicating absence of fat
Protein test: Biuret test gives blue colour of the biuret reagent indicating negative for protein Protein test: Biuret test gives blue colour of the biuret reagent indicating negative for protein
Conclusion: It contains only carbohydrate Conclusion: Carbohydrate is present in higher levels.
E. Testing Milk
Source and description of milk sample: The milk is a rich nutrient whole meal produced by the mammary glands
Molisch Test Observation: A granule like purple layer Conclusion Carbohydrate is present
Benedict Test Observation: Blue Color turned to green, then to yellow-orange and the final color brown Conclusion: There was presence of reducing sugars
Iodine Test Observation: Yellowish color Conclusion: No presence of starch
2. Test for detecting Triglycerides: Grease Spot test
Observation: there was formation of translucent patch on the paper
Conclusion: Milk contains triglyceride
3. Tests for detecting Proteins
Xanthoprotic test Observation: After adding HNO3 a yellow precipitate appears. Adding NaOH makes the yellow solution darker. Conclusion
Protein present
Biuret Test Observation: Blueish violet color is observed Conclusion: Presence of proteins:
Ninhydrin Test Observation: The appearance of deep blue or purple color Conclusion: Presence of proteins
4. Summarize what you have learned about milk sample:
Milk contains casein this the major components of milk is protein as it showed a positive reaction in all the experiment. On the grease spot test, I learnt milk contained fat because of the translucent fat. The Benedict test proved milk contained reducing sugars while the Molisch test proved milk did also contain carbohydrate. However, using the iodine test, I learnt milk does not contain starch
Test 3 Review
Test 3 Review
The procedure for using a normal distribution to approximate a _____ distribution includes a _________ correction
Continuity correction represents _______ whole number x by the interval ______
In 431 NFL Games that went into overtime 200 teams that won the coin toss won the game. Find the P( Atleast 200 wins)n =p =
Can we calculate question 3 with Binomial Probability formula? Why or why not?
What are the requirement checks for question #3? (Normal Distribution as approximate to the Binomial Distribution)
If the requirements for question 3 are met, then
µ = np and σ = square root of ( npq)
In 431 NFL Games that went into overtime 200 teams that won the coin toss won the game. Is the coin toss fair? What are the requirements of np
np≥ 5 and nq ≥ 5 where n is the total number of observations, p = success, and q= failure
If you find that np and nq are 5 or more then what does that mean?
µ = np and σ = npq explain
Find P(Exactly 200 wins)
What is a critical value? What is Za2? Question from pg 322
Find the Critical Value of Za2?
Confidence Level (CL) Alpha Critical Value Za290% .10 1.645
95% .05 1.96
99% .01 2.575
From pg 325
A Reuters poll of 1007 randomly selected adults show that 93% of them know twitter.
n= p=
Find the margin of Error, E, with 90% CLE = ( Za2) (Sqrt ( pq/n))
Find 90% CI estimate of the population proportion p: p-E < p < P+E
Based on the results above, can we conclude that more than 90% of adults know twitter
Questions 16 and 17 are related pg 328
Google hires you to find how many people buy tutoring services online. How many adults need to be surveyed for 99% CL that sample is no more than 4%
n= ((Za2) ^2 (p)(q)/ (E)^2 or n= ((Za2) ^2 (.25)/ (E)^2
Census reveals 65% use tutoring service onlinep=q= Za2 =
No prior data given. How do you find n?
pg 337
When estimating population mean with σ (sigma) not known. You follow two requirement
And
Pg 339
A sample of size n= 15 selected from normal distribution population find Critical Value ta2 corresponding to 99% CL.
Pg 341
Highway speeds of 60 50 85 70 80 40 80 construct a 99 CI, if the speed limit is 65 mph, df =n-1E= ta2 ( s/(sqrt(n)) s= 4.1
Pg 348
When do you choose t vs Z distribution?
A.
D
Pg 253
How do you convert Nonstandard Normal Distribution to a standard Normal Distribution ?Z=(x-µ)/ σ)
There is a 71-inch-tall requirement to enter a club. If the sample mean is 60.3 and the standard deviation is 2.6 in. Find the percent of women who satisfy this requirement.
Because ___ is rarely known, the confidence interval estimates of ____ almost _____ use the t distribution instead of the normal distribution
σ, µ, always
t distribution properties:
As the sample size of n gets ______ the student t distribution gets closer to ______
Larger, normal distribution
Standard deviation varies with sample sizes, but is >1 (t- distribution), unlike the normal distribution Sigma = 1.
Tesla’s Humanoid Bot
Tesla’s Humanoid BotElon musk has always had the fear that artificial intelligence will overtake human standard intelligence and therefore it is through that his company tesla made a robot which resembles human being. He stated that the robot is one of the most advanced since it will use all the resources tesla has and which is the best robotics company as he compared tesla cars to being robots. the purpose of the robot is to do the basic chores at home and those jobs which are repetitive and boring.
This brings out the question, how will tesla ensure that artificial intelligence is safe and does not surpass human intelligence?
Article link
https://www.marketwatch.com/story/elon-musk-unveils-plans-for-humanoid-robot-that-uses-teslas-artificial-intelligence-11629426728