## Step 1: Define the symbolic representation of the problem
The problem involves minimizing an objective function subject to various constraints. The variables are 'chicken breasts', 'kale salads', 'cherry pies', and 'blueberry pies', which we can denote as $x_0$, $x_1$, $x_2$, and $x_3$ respectively.

## Step 2: Formulate the objective function
The objective function to minimize is $3.85x_0 + 4.14x_1 + 9.8x_2 + 3.1x_3$.

## 3: List the constraints
The constraints are as follows:
- $x_0 + 10x_1 + 3x_2 + 10x_3 \leq 110$ (fiber)
- $8x_0 + 8x_1 + 7x_2 + 6x_3 \leq 169$ (iron)
- $7x_0 + 10x_1 + 6x_2 + 9x_3 \leq 145$ (sourness index)
- $x_0 \geq 13$ (fiber from chicken breasts and kale salads, but note this is not directly given, we have specific constraints below)
- Specific fiber constraints:
  - $x_0 + 10x_1 \geq 13$
  - $10x_1 + 10x_3 \geq 18$
  - $3x_2 + 10x_3 \geq 9$
  - $x_0 + 3x_2 \geq 27$
  - $x_0 + 10x_1 + 3x_2 \geq 23$
  - $10x_1 + 3x_2 + 10x_3 \geq 23$
  - $x_0 + 10x_1 + 3x_2 \geq 26$
  - $10x_1 + 3x_2 + 10x_3 \geq 26$
  - $x_0 + 10x_1 + 3x_2 + 10x_3 \geq 26$
- Specific iron constraints:
  - $8x_1 + 6x_3 \geq 26$
  - $8x_0 + 7x_2 \geq 26$
  - $7x_2 + 6x_3 \geq 26$
  - $8x_0 + 6x_3 \geq 20$
  - $8x_0 + 8x_1 + 7x_2 + 6x_3 \geq 20$
- Specific sourness index constraints:
  - $10x_1 + 6x_2 \geq 20$
  - $7x_0 + 6x_2 \geq 33$
  - $6x_2 + 9x_3 \geq 31$
  - $7x_0 + 9x_3 \geq 28$
  - $7x_0 + 10x_1 \geq 22$
  - $7x_0 + 6x_2 + 9x_3 \geq 19$
  - $7x_0 + 10x_1 + 6x_2 + 9x_3 \geq 19$
- Other constraints:
  - $2x_0 - 2x_3 \geq 0$
  - $10x_1 - 5x_2 \geq 0$
  - $x_0 + 10x_1 \leq 65$
  - $3x_2 + 10x_3 \leq 45$
  - $10x_1 + 10x_3 \leq 91$
  - $10x_1 + 3x_2 + 10x_3 \leq 104$
  - $x_0 + 10x_1 + 10x_3 \leq 104$
  - $8x_0 + 7x_2 \leq 125$
  - $7x_2 + 6x_3 \leq 78$
  - $7x_0 + 9x_3 \leq 60$
  - $7x_0 + 10x_1 + 9x_3 \leq 67$

## 4: Symbolic Representation
The symbolic representation is:
```json
{
    'sym_variables': [
        ['x0', 'chicken breasts'],
        ['x1', 'kale salads'],
        ['x2', 'cherry pies'],
        ['x3', 'blueberry pies']
    ],
    'objective_function': '3.85*x0 + 4.14*x1 + 9.8*x2 + 3.1*x3',
    'constraints': [
        'x0 + 10*x1 + 3*x2 + 10*x3 <= 110',
        '8*x0 + 8*x1 + 7*x2 + 6*x3 <= 169',
        '7*x0 + 10*x1 + 6*x2 + 9*x3 <= 145',
        'x0 + 10*x1 >= 13',
        '10*x1 + 10*x3 >= 18',
        '3*x2 + 10*x3 >= 9',
        'x0 + 3*x2 >= 27',
        'x0 + 10*x1 + 3*x2 >= 23',
        '10*x1 + 3*x2 + 10*x3 >= 23',
        'x0 + 10*x1 + 3*x2 >= 26',
        '10*x1 + 3*x2 + 10*x3 >= 26',
        'x0 + 10*x1 + 3*x2 + 10*x3 >= 26',
        '8*x1 + 6*x3 >= 26',
        '8*x0 + 7*x2 >= 26',
        '7*x2 + 6*x3 >= 26',
        '8*x0 + 6*x3 >= 20',
        '8*x0 + 8*x1 + 7*x2 + 6*x3 >= 20',
        '10*x1 + 6*x2 >= 20',
        '7*x0 + 6*x2 >= 33',
        '6*x2 + 9*x3 >= 31',
        '7*x0 + 9*x3 >= 28',
        '7*x0 + 10*x1 >= 22',
        '7*x0 + 6*x2 + 9*x3 >= 19',
        '7*x0 + 10*x1 + 6*x2 + 9*x3 >= 19',
        '2*x0 - 2*x3 >= 0',
        '10*x1 - 5*x2 >= 0',
        'x0 + 10*x1 <= 65',
        '3*x2 + 10*x3 <= 45',
        '10*x1 + 10*x3 <= 91',
        '10*x1 + 3*x2 + 10*x3 <= 104',
        'x0 + 10*x1 + 10*x3 <= 104',
        '8*x0 + 7*x2 <= 125',
        '7*x2 + 6*x3 <= 78',
        '7*x0 + 9*x3 <= 60',
        '7*x0 + 10*x1 + 9*x3 <= 67'
    ]
}
```

## 5: Gurobi Code
```python
import gurobi

def solve_optimization_problem():
    model = gurobi.Model()

    # Define variables
    x0 = model.addVar(name="chicken breasts", lb=0)
    x1 = model.addVar(name="kale salads", lb=0)
    x2 = model.addVar(name="cherry pies", lb=0)
    x3 = model.addVar(name="blueberry pies", lb=0)

    # Objective function
    model.setObjective(3.85 * x0 + 4.14 * x1 + 9.8 * x2 + 3.1 * x3, gurobi.GRB.MINIMIZE)

    # Constraints
    model.addConstr(x0 + 10 * x1 + 3 * x2 + 10 * x3 <= 110)
    model.addConstr(8 * x0 + 8 * x1 + 7 * x2 + 6 * x3 <= 169)
    model.addConstr(7 * x0 + 10 * x1 + 6 * x2 + 9 * x3 <= 145)
    model.addConstr(x0 + 10 * x1 >= 13)
    model.addConstr(10 * x1 + 10 * x3 >= 18)
    model.addConstr(3 * x2 + 10 * x3 >= 9)
    model.addConstr(x0 + 3 * x2 >= 27)
    model.addConstr(x0 + 10 * x1 + 3 * x2 >= 23)
    model.addConstr(10 * x1 + 3 * x2 + 10 * x3 >= 23)
    model.addConstr(x0 + 10 * x1 + 3 * x2 >= 26)
    model.addConstr(10 * x1 + 3 * x2 + 10 * x3 >= 26)
    model.addConstr(x0 + 10 * x1 + 3 * x2 + 10 * x3 >= 26)
    model.addConstr(8 * x1 + 6 * x3 >= 26)
    model.addConstr(8 * x0 + 7 * x2 >= 26)
    model.addConstr(7 * x2 + 6 * x3 >= 26)
    model.addConstr(8 * x0 + 6 * x3 >= 20)
    model.addConstr(8 * x0 + 8 * x1 + 7 * x2 + 6 * x3 >= 20)
    model.addConstr(10 * x1 + 6 * x2 >= 20)
    model.addConstr(7 * x0 + 6 * x2 >= 33)
    model.addConstr(6 * x2 + 9 * x3 >= 31)
    model.addConstr(7 * x0 + 9 * x3 >= 28)
    model.addConstr(7 * x0 + 10 * x1 >= 22)
    model.addConstr(7 * x0 + 6 * x2 + 9 * x3 >= 19)
    model.addConstr(7 * x0 + 10 * x1 + 6 * x2 + 9 * x3 >= 19)
    model.addConstr(2 * x0 - 2 * x3 >= 0)
    model.addConstr(10 * x1 - 5 * x2 >= 0)
    model.addConstr(x0 + 10 * x1 <= 65)
    model.addConstr(3 * x2 + 10 * x3 <= 45)
    model.addConstr(10 * x1 + 10 * x3 <= 91)
    model.addConstr(10 * x1 + 3 * x2 + 10 * x3 <= 104)
    model.addConstr(x0 + 10 * x1 + 10 * x3 <= 104)
    model.addConstr(8 * x0 + 7 * x2 <= 125)
    model.addConstr(7 * x2 + 6 * x3 <= 78)
    model.addConstr(7 * x0 + 9 * x3 <= 60)
    model.addConstr(7 * x0 + 10 * x1 + 9 * x3 <= 67)

    model.optimize()

    if model.status == gurobi.GRB.OPTIMAL:
        print("Objective: ", model.objVal)
        print("Chicken breasts: ", x0.varValue)
        print("Kale salads: ", x1.varValue)
        print("Cherry pies: ", x2.varValue)
        print("Blueberry pies: ", x3.varValue)
    else:
        print("The model is infeasible")

solve_optimization_problem()
```