Step 1: Identifying the frequency components of the signal  
The given signal consists of three sinusoidal components:
\[
x(t) = 20 \sin(100\pi t) + 36 \sin(150\pi t) - 2 \sin(300\pi t),
\]
where the angular frequencies are \( 100\pi \), \( 150\pi \), and \( 300\pi \), respectively. To find the highest frequency component, we calculate the frequencies by dividing the angular frequency by \( 2\pi \):
- For \( 20 \sin(100\pi t) \), the frequency is:
  \[
  f_1 = \frac{100\pi}{2\pi} = 50 { Hz}.
  \]
- For \( 36 \sin(150\pi t) \), the frequency is:
  \[
  f_2 = \frac{150\pi}{2\pi} = 75 { Hz}.
  \]
- For \( -2 \sin(300\pi t) \), the frequency is:
  \[
  f_3 = \frac{300\pi}{2\pi} = 150 { Hz}.
  \]
Step 2: Applying the Nyquist-Shannon theorem  
The highest frequency component is \( f_3 = 150 { Hz} \). According to the Nyquist-Shannon sampling theorem, the sampling frequency should be at least twice the highest frequency to ensure accurate signal reconstruction.
Thus, the minimum sampling frequency is:
\[
f_s = 2 \times 150 = 300 { Hz}.
\]
Step 3: Choosing the correct sampling frequency 
 
Among the given options, the closest value greater than or equal to 300 Hz is 500 Hz.
Thus, the correct answer is 500 Hz.