Exploring the Math of Glucose Polymers: Understanding 6^n

In summary, the conversation discusses the possible number of polymers that can be produced from n glucose monomers. It is mentioned that glucose molecules do not react at random and there are certain positions that are more prone to react during polymerization. The question is posed as to how many different polymers can be produced from n monomers connected in a specific way. The answer is not clear and may involve mathematical formalism and combinatorics.
  • #1
bo reddude
24
1
Homework Statement
not homework, just curious
Relevant Equations
(CH2O)_n
Let's say you have n glucose monomers. (C6H12O6) n

You want to find out how many possible polymers exist in combining those n number of glucose molecules randomly.

So glucose_1 has 6 OHs that can combine with glucose_2 which also has 6 OHs. Starting with glucose_1's first carbon C1, at that position, you can have 6 different OHs from glucose_2 attaching to it.

Since glucose_1 has 5 other OHs, and each of those OHs can have 6 different OH from glucose_2 attaching to it, you have total of 36 different configuration of glucose dimers.
what happens if you were to think about all possible combination of glucose polymer of arbitrary length n?

It seems like 6^ n, but I can't work out the details in trying to explain it. What's the mathematical formalism involved in this?

Thanks for any help.
 
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  • #2
This is more math and combinatorics than chemistry.

In chemistry glucoses don't react at random -OH, in the dominating hemiacetal structure some positions are much more prone to react during polymerization.
 
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  • #3
Is there a way to cross post to the math forum on here?
 
  • #4
Thread moved
 
  • #5
thank you
 
  • #6
To all math people wondering what the question is:

1681112387146.png


This star (let's call it a "monomer") can be connected to identical stars by linking any of the ends with any other end of any other star (this would be roughly what chemists call "condensation", and the product is "polymer" - don't treat these terms too seriously as chemical terms here, I am using them for brevity and ignoring details). Assume each star can connect only to two others. Question is, how many different "polymers" can be produced from n "monomers".

Supposedly OP can add some details, the question was originally posted in chemistry - but that's not how the glucose really react, so could be there are some additional limits on how these abstract representation can behave.
 
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  • #7
no one wants to try and answer this question?
 

FAQ: Exploring the Math of Glucose Polymers: Understanding 6^n

What is the significance of 6^n in the context of glucose polymers?

The expression 6^n can represent the number of possible combinations or structural variations in glucose polymers, where 'n' denotes the number of glucose units. This helps in understanding the diversity and complexity of polysaccharides like glycogen and starch.

How does the concept of 6^n relate to the branching in glucose polymers?

In glucose polymers, especially in branched structures like glycogen, the term 6^n can be used to model the potential branching points. Each glucose unit can theoretically branch in multiple ways, leading to an exponential increase in structural possibilities as the polymer grows.

Can you explain the mathematical relevance of 6^n in biochemical pathways involving glucose polymers?

Mathematically, 6^n helps in calculating the potential energy storage and release mechanisms in glucose polymers. It provides a way to quantify the complexity and efficiency of biochemical pathways, such as those involving glycogen synthesis and breakdown.

Why is it important to understand the math behind glucose polymers?

Understanding the math behind glucose polymers is crucial for developing insights into metabolic processes, energy storage, and release mechanisms in biological systems. It also aids in the design of better therapeutic strategies for metabolic disorders like diabetes.

What are some practical applications of understanding 6^n in glucose polymers?

Practical applications include the development of biofuels, optimization of food processing techniques, and the creation of medical treatments for metabolic diseases. By understanding the mathematical framework, scientists can better manipulate and utilize glucose polymers for various industrial and medical purposes.

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