Generation of hydration-targeted formulations and methods of use therein
At least some embodiments provide illustrative systems and methods that may enable formulation optimization using one or more processor(s) that may be programmed to: receive an amino acid formulation request for an amino acid combination for a hydration beverage, the amino acid formulation request having a first set of optimization criteria including a first water uptake metric for glucose and a taste profile metric associated with a score indicative of an effect on a taste profile of the hydration beverage; access a second set of optimization criteria, including an expression pattern for receptors in the intestine, a second water uptake metric for the amino acid formulation, and amino acid data of each amino acid; and generate an optimized amino acid-based formulation utilizing a hydration beverage optimization engine to optimize a concentration of one or more amino acids based on the first and second sets of optimization criteria.
1. A method of manufacturing a beverage formulation comprising:
obtaining, by at least one processor, the beverage formulation comprising an optimized amino acid-based combination by:
determining
a first set of optimization criteria comprising:
a first value of a water uptake metric, the first value being for glucose,
a taste profile metric associated with a score indicative of an effect on a taste profile of the hydration beverage;
determining a second set of optimization criteria, comprising:
an expression pattern for at least one associated receptor in the intestine;
a second value of the water uptake metric, the second value being for the amino acid formulation;
amino acid data comprising:
a plurality of amino acid fixed properties of each amino acid of a plurality of amino acids, wherein the fixed properties comprise:
an average stoichiometry for each amino acid, and
a molecular weight for each amino acid;
a plurality of amino acid variable characteristics of each amino acid of the plurality of amino acids, wherein the variable characteristics comprise:
a molar concentration for each amino acid;
iteratively simulating a plurality of amino acid-based combination simulations, each amino acid-based combination simulation simulating the second value of the water uptake metric for a candidate amino acid-based combination of a plurality of candidate amino acid-based combinations based at least in part on transport kinetics modelling of each candidate amino acid-based combination to obtain the optimized amino acid-based combination comprising a plurality of selected amino acids having at least one concentration;
wherein each candidate amino acid-based combination comprises a combination of a plurality of candidate amino acids and a concentration of the plurality of candidate amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize:
the combination of the one or more candidate amino acids of the plurality of amino acids so as to obtain the plurality of selected amino acids and
the concentration of the one or more candidate amino acids of the plurality of amino acids so as to obtain the at least one concentration of the plurality of selected amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize based at least in part on:
the first set of optimization criteria, and
the second set of optimization criteria; and
automatically sending, by the at least one processor, a control signal to production equipment at a manufacturing facility to dispense the plurality of selected amino acids having at least one concentration to produce the beverage formulation.
2. The method of claim 1 , further comprising:
validating, via one or more experimental trials, the optimized amino acid-based combination for the criteria to obtain validation data indicative of actual performance of the optimized amino acid-based combination; and
retraining the hydration optimization engine based at least in part on the validation data.
3. The method of claim 1 , further comprising:
administering the hydration beverage having the optimized amino acid-based combination for a treatment of a particular disease.
4. The method of claim 1 , wherein the first set of optimization criteria comprises cost and the amino acid data further comprises a cost associated with each amino acid of the plurality of amino acids.
5. The method of claim 1 , wherein the expression pattern comprises expression levels of the at least one associated receptor in a plurality of parts of the intestine.
6. The method of claim 5 , wherein the expression pattern comprises at least one receptor density and at least one receptor competition metric for the at least one associated receptor.
7. The method of claim 1 , wherein the amino acid data further comprises a taste profile effect metric associated with each amino acid; and
wherein taste profile effect metric comprises a sub-score indicative of an individual effect on the taste profile of the hydration beverage of each amino acid.
8. A system for manufacturing a beverage formulation comprising:
production equipment at a manufacturing facility; and
at least one controller at the manufacturing facility configured to:
obtain the beverage formulation comprising an optimized amino acid-based combination by:
determining
a first set of optimization criteria comprising:
a first value of a water uptake metric, the first value being for glucose,
a taste profile metric associated with a score indicative of an effect on a taste profile of the hydration beverage,
determining a second set of optimization criteria, comprising:
an expression pattern for at least one associated receptor in the intestine;
a second value of the water uptake metric, the second value being for the amino acid formulation;
amino acid data comprising:
a plurality of amino acid fixed properties of each amino acid of a plurality of amino acids, wherein the fixed properties comprise:
an average stoichiometry for each amino acid, and
a molecular weight for each amino acid;
a plurality of amino acid variable characteristics of each amino acid of the plurality of amino acids, wherein the variable characteristics comprise:
a molar concentration for each amino acid;
iteratively simulating a plurality of amino acid-based combination simulations, each amino acid-based combination simulation simulating the second value of the water uptake metric for a candidate amino acid-based combination of a plurality of candidate amino acid-based combinations based at least in part on transport kinetics modelling of each candidate amino acid-based combination to obtain the optimized amino acid-based combination comprising a plurality of selected amino acids having at least one concentration;
wherein each candidate amino acid-based combination comprises a combination of a plurality of candidate amino acids and a concentration of the plurality of candidate amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize:
the combination of the one or more candidate amino acids of the plurality of amino acids so as to obtain the plurality of selected amino acids and
the concentration of the one or more candidate amino acids of the plurality of amino acids so as to obtain the at least one concentration of the plurality of selected amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize based at least in part on:
the first set of optimization criteria, and
the second set of optimization criteria; and
automatically send a control signal to the production equipment to dispense the plurality of selected amino acids having at least one concentration to produce the beverage formulation.
9. The system of claim 8 , wherein the controller is further configured to:
validating, via one or more experimental trials, the optimized amino acid-based combination for the criteria.
10. The system of claim 8 , wherein the controller is further configured to:
administering the hydration beverage having the optimized amino acid-based combination for a treatment of a particular disease.
11. The system of claim 8 , wherein the first set of optimization criteria comprises cost and the amino acid data further comprises a cost associated with each amino acid of the plurality of amino acids.
12. The system of claim 8 , wherein the expression pattern comprises expression levels of the at least one associated receptor in the intestine.
13. The system of claim 12 , wherein the expression pattern comprises at least one receptor density and at least one receptor competition metric for the at least one associated receptor.
14. The system of claim 8 , wherein the amino acid data further comprises a taste profile effect metric associated with each amino acid; and
wherein taste profile effect metric comprises a sub-score indicative of an individual effect on the taste profile of the hydration beverage of each amino acid.
15. The system of claim 12 , wherein the expression pattern comprises at least one receptor density and at least one receptor competition metric for the at least one associated receptor.
16. A method of manufacturing a beverage formulation comprising:
receiving, by at least one processor, the beverage formulation comprising an optimized amino acid-based combination;
wherein the optimized amino acid-based combination has been determined by:
determining a first set of optimization criteria comprising:
a first value of a water uptake metric, the first value being for glucose,
a taste profile metric associated with a score indicative of an effect on a taste profile of the hydration beverage;
determining a second set of optimization criteria, comprising:
an expression pattern for at least one associated receptor in the intestine;
a second value of the water uptake metric, the second value being for the amino acid formulation;
amino acid data comprising:
a plurality of amino acid fixed properties of each amino acid of a plurality of amino acids, wherein the fixed properties comprise:
an average stoichiometry for each amino acid, and
a molecular weight for each amino acid;
a plurality of amino acid variable characteristics of each amino acid of the plurality of amino acids, wherein the variable characteristics comprise:
a molar concentration for each amino acid;
iteratively simulating a plurality of amino acid-based combination simulations, each amino acid-based combination simulation simulating the second value of the water uptake metric for a candidate amino acid-based combination of a plurality of candidate amino acid-based combinations based at least in part on transport kinetics modelling of each candidate amino acid-based combination to obtain the optimized amino acid-based combination comprising a plurality of selected amino acids having at least one concentration;
wherein each candidate amino acid-based combination comprises a combination of a plurality of candidate amino acids and a concentration of the plurality of candidate amino acids;
wherein the plurality of amino acid-based combination simulations are configured to optimize:
the combination of the one or more candidate amino acids of the plurality of amino acids so as to obtain the plurality of selected amino acids
the concentration of the one or more candidate amino acids of the plurality of amino acids so as to obtain the at least one concentration of the plurality of selected amino acids;
wherein the plurality of amino acid-based combination simulations are configured to optimize based at least in part on:
the first set of optimization criteria, and
the second set of optimization criteria; and
automatically sending, by the at least one processor, a control signal to production equipment at a manufacturing facility to dispense the plurality of selected amino acids having at least one concentration to produce the beverage formulation.
17. The method of claim 16 , further comprising:
validating, via one or more experimental trials, the optimized amino acid-based combination for the criteria to obtain validation data indicative of actual performance of the optimized amino acid-based combination; and
retraining the hydration optimization engine based at least in part on the validation data.
18. The method of claim 16 , further comprising:
administering the hydration beverage having the optimized amino acid-based combination for a treatment of a particular disease.
19. The method of claim 16 , wherein the first set of optimization criteria comprises cost and the amino acid data further comprises a cost associated with each amino acid of the plurality of amino acids.
20. The method of claim 16 , wherein the expression pattern comprises expression levels of the at least one associated receptor in a plurality of parts of the intestine.
21. The method of claim 20 , wherein the expression pattern comprises at least one receptor density and at least one receptor competition metric for the at least one associated receptor.
22. The method of claim 16 , wherein the amino acid data further comprises a taste profile effect metric associated with each amino acid; and
wherein taste profile effect metric comprises a sub-score indicative of an individual effect on the taste profile of the hydration beverage of each amino acid.
23. A system for manufacturing a beverage formulation comprising:
production equipment at a manufacturing facility; and
at least one controller at the manufacturing facility configured to:
receive the beverage formulation comprising an optimized amino acid-based combination;
wherein the optimized amino acid-based combination is obtained by:
determining a first set of optimization criteria comprising:
a first value of a water uptake metric, the first value being for glucose,
a taste profile metric associated with a score indicative of an effect on a taste profile of the hydration beverage;
determining a second set of optimization criteria, comprising:
an expression pattern for at least one associated receptor in the intestine;
a second value of the water uptake metric, the second value being for the amino acid formulation;
amino acid data comprising:
a plurality of amino acid fixed properties of each amino acid of a plurality of amino acids, wherein the fixed properties comprise:
an average stoichiometry for each amino acid, and
a molecular weight for each amino acid;
a plurality of amino acid variable characteristics of each amino acid of the plurality of amino acids,
wherein the variable characteristics comprise:
a molar concentration for each amino acid;
iteratively simulating a plurality of amino acid-based combination simulations, each amino acid-based combination simulation simulating the second value of the water uptake metric for a candidate amino acid-based combination of a plurality of candidate amino acid-based combinations based at least in part on transport kinetics modelling of each candidate amino acid-based combination to obtain the optimized amino acid-based combination comprising a plurality of selected amino acids having at least one concentration;
wherein each candidate amino acid-based combination comprises a combination of a plurality of candidate amino acids and a concentration of the plurality of candidate amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize:
the combination of the one or more candidate amino acids of the plurality of amino acids so as to obtain the plurality of selected amino acids and
the concentration of the one or more candidate amino acids of the plurality of amino acids so as to obtain the at least one concentration of the plurality of selected amino acids;
wherein the plurality of amino acid-based combination simulations is configured to optimize based at least in part on:
the first set of optimization criteria, and
the second set of optimization criteria; and
automatically send a control signal to production equipment at a manufacturing facility to dispense the plurality of selected amino acids having at least one concentration to produce the beverage formulation.
24. The system of claim 23 , wherein the controller is further configured to:
validating, via one or more experimental trials, the optimized amino acid-based combination for the criteria.
25. The system of claim 24 , wherein the controller is further configured to:
administering the hydration beverage having the optimized amino acid-based combination for a treatment of a particular disease.
26. The system of claim 24 , wherein the first set of optimization criteria comprises cost and the amino acid data further comprises a cost associated with each amino acid of the plurality of amino acids.
27. The system of claim 24 , wherein the expression pattern comprises expression levels of the at least one associated receptor in the intestine.
28. The system of claim 24 , wherein the amino acid data further comprises a taste profile effect metric associated with each amino acid; and
wherein taste profile effect metric comprises a sub-score indicative of an individual effect on the taste profile of the hydration beverage of each amino acid.