Problem Overview
We perform tabular differentiation on discrete bioreactor sensor logs:
Ratio: Y ( t ) = X ( t ) S ( t ) Y(t) = \frac{X(t)}{S(t)} Y ( t ) = S ( t ) X ( t )
Index: A ( t ) = t ⋅ X ( t ) A(t) = t \cdot X(t) A ( t ) = t ⋅ X ( t )
Step-by-Step Mathematical Solution
Step 1: Structural Formula for d Y d t \frac{dY}{dt} d t d Y via Quotient Rule
d Y d t = d d t [ X ( t ) S ( t ) ] = X ′ ( t ) S ( t ) − X ( t ) S ′ ( t ) [ S ( t ) ] 2 \frac{dY}{dt} = \frac{d}{dt}\left[\frac{X(t)}{S(t)}\right] = \frac{X'(t)S(t) - X(t)S'(t)}{[S(t)]^2} d t d Y = d t d [ S ( t ) X ( t ) ] = [ S ( t ) ] 2 X ′ ( t ) S ( t ) − X ( t ) S ′ ( t )
Step 2: Evaluate d Y d t ∣ t = 4 \left.\frac{dY}{dt}\right|_{t=4} d t d Y t = 4 from Sensor Row t = 4 t = 4 t = 4
Extract data for t = 4 hr t = 4\text{ hr} t = 4 hr :
X ( 4 ) = 2.8 g/L X(4) = 2.8\text{ g/L} X ( 4 ) = 2.8 g/L
S ( 4 ) = 12.5 g/L S(4) = 12.5\text{ g/L} S ( 4 ) = 12.5 g/L
X ′ ( 4 ) = 0.9 g/(L ⋅ hr) X'(4) = 0.9\text{ g/(L}\cdot\text{hr)} X ′ ( 4 ) = 0.9 g/(L ⋅ hr)
S ′ ( 4 ) = − 3.5 g/(L ⋅ hr) S'(4) = -3.5\text{ g/(L}\cdot\text{hr)} S ′ ( 4 ) = − 3.5 g/(L ⋅ hr)
Substitute into the Quotient Rule:
d Y d t ∣ t = 4 = ( 0.9 ) ( 12.5 ) − ( 2.8 ) ( − 3.5 ) ( 12.5 ) 2 = 11.25 − ( − 9.8 ) 156.25 = 11.25 + 9.8 156.25 = 21.05 156.25 ≈ 0.13472 hr − 1 \left.\frac{dY}{dt}\right|_{t=4} = \frac{(0.9)(12.5) - (2.8)(-3.5)}{(12.5)^2} = \frac{11.25 - (-9.8)}{156.25} = \frac{11.25 + 9.8}{156.25} = \frac{21.05}{156.25} \approx 0.13472\text{ hr}^{-1} d t d Y t = 4 = ( 12.5 ) 2 ( 0.9 ) ( 12.5 ) − ( 2.8 ) ( − 3.5 ) = 156.25 11.25 − ( − 9.8 ) = 156.25 11.25 + 9.8 = 156.25 21.05 ≈ 0.13472 hr − 1
Step 3: Evaluate A ′ ( 6 ) A'(6) A ′ ( 6 ) via Product Rule
For A ( t ) = t ⋅ X ( t ) A(t) = t \cdot X(t) A ( t ) = t ⋅ X ( t ) :
A ′ ( t ) = d d t [ t ] X ( t ) + t X ′ ( t ) = ( 1 ) X ( t ) + t X ′ ( t ) A'(t) = \frac{d}{dt}[t]X(t) + t X'(t) = (1)X(t) + t X'(t) A ′ ( t ) = d t d [ t ] X ( t ) + t X ′ ( t ) = ( 1 ) X ( t ) + t X ′ ( t )
Extract data for t = 6 hr t = 6\text{ hr} t = 6 hr :
X ( 6 ) = 5.2 g/L X(6) = 5.2\text{ g/L} X ( 6 ) = 5.2 g/L
X ′ ( 6 ) = 1.2 g/(L ⋅ hr) X'(6) = 1.2\text{ g/(L}\cdot\text{hr)} X ′ ( 6 ) = 1.2 g/(L ⋅ hr)
A ′ ( 6 ) = 5.2 + ( 6 ) ( 1.2 ) = 5.2 + 7.2 = 12.4 g ⋅ hr/(L ⋅ hr) = 12.4 g/L A'(6) = 5.2 + (6)(1.2) = 5.2 + 7.2 = 12.4\text{ g}\cdot\text{hr/(L}\cdot\text{hr)} = 12.4\text{ g/L} A ′ ( 6 ) = 5.2 + ( 6 ) ( 1.2 ) = 5.2 + 7.2 = 12.4 g ⋅ hr/(L ⋅ hr) = 12.4 g/L
Engineering Conclusion
By applying differentiation rules structurally to discrete telemetry data, bioprocess engineers track dynamic yield conversion efficiencies in real time without needing continuous closed-form equations. The positive yield rate d Y d t ≈ + 0.135 hr − 1 \frac{dY}{dt} \approx +0.135\text{ hr}^{-1} d t d Y ≈ + 0.135 hr − 1 at t = 4 hr t = 4\text{ hr} t = 4 hr confirms strong metabolic efficiency prior to glucose nutrient depletion.