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crsp 2
SA
by
Sana Almas
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Updated Jul 9, 2021
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Chapters
00:00
Chapter 1
00:11
Chapter 2
00:14
Chapter 3
00:16
Chapter 4
00:18
Chapter 5
00:33
Chapter 6
00:34
Chapter 7
00:48
Chapter 8
01:04
Chapter 9
01:07
Chapter 10
01:17
Chapter 11
01:31
Chapter 12
01:39
Chapter 13
01:45
Chapter 14
01:47
Chapter 15
01:54
Chapter 16
02:11
Chapter 17
02:15
Chapter 18
02:21
Chapter 19
02:26
Chapter 20
02:28
Chapter 21
02:35
Chapter 22
02:42
Chapter 23
02:45
Chapter 24
02:50
Chapter 25
03:42
Chapter 26
03:56
Chapter 27
04:19
Chapter 28
04:20
Chapter 29
04:50
Chapter 30
Audio Transcript
Auto-generated
00:00 - 00:01
Hi everyone.
00:01 - 00:04
This is santa Alma's and my research is developing and
00:04 - 00:06
if there are methods for the key numeric analysis of
00:06 - 00:09
organic. My mentors are Professor alexander Agrobanka and Professor Homer
00:10 - 00:14
Barcena. This is my research a poster.
00:16 - 00:18
Well why did I choose to research about milk?
00:19 - 00:22
As you all know, milk is the firstly good food
00:22 - 00:25
which we all consume the right of milk products and
00:26 - 00:29
there are many different kinds of notes everyone loves most.
00:29 - 00:32
But for this research will be focusing on organic cosmos.
00:33 - 00:33
Buy organic.
00:34 - 00:34
Let's see.
00:36 - 00:38
Looking at this graph, this is the graph of organic
00:38 - 00:40
milk sales in the us alone, couldn't we use of
00:40 - 00:44
2008-2018. As you see there is an increase in the
00:44 - 00:47
sales which means that organic book is in demand.
00:50 - 00:51
But what does it mean for a product to be
00:51 - 00:54
organic? Two things to grow that produce or that food
00:55 - 00:58
without the use of any fertilizes or any antibiotics and
00:58 - 01:02
be fair farming practices which will actually protect the producer
01:02 - 01:03
in our case the cow.
01:07 - 01:10
Let's look at the research now the purpose is to
01:10 - 01:13
demonstrate a separation in a filtering method to obtain the
01:13 - 01:16
caissons or also known as the mud protein for further
01:17 - 01:21
analysis. My research goal is to be able to identify
01:21 - 01:26
the nutritional differences between organic vs conventional to personal examples.
01:27 - 01:32
Both of the samples will be 2% of fat The
01:32 - 01:34
materials would be as a problem.
01:34 - 01:38
Alcohol, 91% distilled white vinegar, males dinner and a microwave
01:40 - 01:43
For the system metabolite analysts 5.0 and a four year
01:43 - 01:44
transform infrared spectroscopy.
01:49 - 01:52
This table represents all of my four trials are today
01:52 - 01:56
for the two kinds of samples Over here.
01:57 - 02:00
You can see my trials four and final unwashed Casey.
02:01 - 02:04
We can know that the organic one looks much more
02:04 - 02:07
softer and easier to break apart or pull apart than
02:08 - 02:08
you can mention one.
02:09 - 02:10
Please keep this point in mind.
02:10 - 02:11
We will come back to it later.
02:14 - 02:17
Try one without the alcohol wash trial to was filled
02:18 - 02:21
the the temperature was too high and hot for the
02:21 - 02:25
milk Calgary is in progress, but with the higher volume
02:25 - 02:28
of milk you don't want that Trafford is perfect.
02:30 - 02:32
A special filtering tool was used for the organic milk
02:33 - 02:34
filtration. For better isolation.
02:35 - 02:39
For the casing samples are dried and grinded for further
02:39 - 02:42
analysis and going to my professors Barcena and Dubenko.
02:47 - 02:50
Yeah, using the using the FDR.
02:51 - 02:54
We generated this craft model using a seven samples the
02:55 - 02:58
area and the 1700 to the 1500 centimeters are the
02:58 - 03:02
carbonnel peaks while the area around the 1500 to 400
03:02 - 03:05
are fingerprint widget your skin and helps us to distinguish
03:06 - 03:07
between the compounds between their samples.
03:08 - 03:11
But over the pigs are very intense, meaning much more
03:11 - 03:12
up and down.
03:12 - 03:15
You do to my samples being dry, which leads to
03:15 - 03:19
a greater sensitivity and noise to single ratio In general.
03:19 - 03:22
In this spectrum, we see that the organic samples are
03:22 - 03:27
much more intense in much more down than the conventional
03:27 - 03:30
ones, except the dark blue sample number three.
03:31 - 03:33
This may be linking back to what I mentioned earlier
03:34 - 03:37
about about a conventional example being very hard, it was
03:37 - 03:38
very hard to grind it.
03:41 - 03:44
Next. After doing this, we did the principal component analysis
03:45 - 03:46
for the screen plot.
03:46 - 03:48
We can see that there's a clear difference in the
03:48 - 03:51
range number one and in the range number two giving
03:51 - 03:55
us of 93.1%, meaning that data to DeGraff is possible.
03:58 - 04:01
Next. Using the score plot, we can see that the
04:02 - 04:04
red is the conventional of the green are the organic
04:05 - 04:09
samples. There's a clear difference between the between the compounds
04:10 - 04:13
due to minimal to none overlap amongst these samples.
04:14 - 04:17
This concludes that there is a difference, but this specific
04:18 - 04:19
is not known yet.
04:22 - 04:26
To conclude the initial sensitivity would not re notice requires
04:27 - 04:32
further differentiating analysis for the high screen to the using
04:32 - 04:33
of the P.
04:33 - 04:34
C. Analysis.
04:34 - 04:40
That's we could notice major molecular compound differences and three
04:40 - 04:44
more analysis and tests are required for quantification regarding the
04:44 - 04:44
molecular compounds.
04:45 - 04:48
Lastly, these tests can be further carried for analysis.
04:50 - 04:52
Yeah. Thank you so much.
04:53 - 04:53
I hope you like this.
04:53 - 04:53
Goodbye.
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