Objective: The aim of this study was to test proportional-integral-derivative (PID) control of air inflow rate in a whole-room indirect calorimeter to improve accuracy in measuring oxygen (O2 ) consumption ( V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ ) and carbon dioxide (CO2 ) production ( V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ ). Methods: A precision gas blender infused nitrogen (N2 ) and CO2 into the calorimeter over 24 hours based on static and dynamic infusion profiles mimicking V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ and V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ patterns during resting and non-resting conditions. Constant (60 L/min) versus time-variant flow set by a PID controller based on the CO2 concentration was compared based on errors between measured versus expected values for V̇O2,V̇CO2,$$ \dot{\mathrm{V}}{\mathrm{O}}_2,\kern0.5em \dot{\mathrm{V}}{\mathrm{CO}}_2, $$ respiratory exchange ratio, and metabolic rate. Results: Compared with constant inflow, the PID controller allowed both a faster rise time and long-term maintenance of a stable CO2 concentration inside the calorimeter, resulting in more accurate V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ estimates (mean hourly error, PID: -0.9%, 60 L/min = -2.3%, p < 0.05) during static infusions. During dynamic infusions mimicking exercise sessions, the PID controller achieved smaller errors for V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ (mean: -0.6% vs. -2.7%, p = 0.02) and respiratory exchange ratio (mean: 0.5% vs. -3.1%, p = 0.02) compared with constant inflow conditions, with similar V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ (p = 0.97) and metabolic rate (p = 0.76) errors. Conclusions: PID control in a whole-room indirect calorimeter system leads to more accurate measurements of substrate oxidation during dynamic metabolic studies.
Closed-loop control of air supply to whole-room indirect calorimeters to improve accuracy and standardize measurements during 24-hour dynamic metabolic studies
Piaggi, Paolo
Primo
;
2023-01-01
Abstract
Objective: The aim of this study was to test proportional-integral-derivative (PID) control of air inflow rate in a whole-room indirect calorimeter to improve accuracy in measuring oxygen (O2 ) consumption ( V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ ) and carbon dioxide (CO2 ) production ( V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ ). Methods: A precision gas blender infused nitrogen (N2 ) and CO2 into the calorimeter over 24 hours based on static and dynamic infusion profiles mimicking V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ and V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ patterns during resting and non-resting conditions. Constant (60 L/min) versus time-variant flow set by a PID controller based on the CO2 concentration was compared based on errors between measured versus expected values for V̇O2,V̇CO2,$$ \dot{\mathrm{V}}{\mathrm{O}}_2,\kern0.5em \dot{\mathrm{V}}{\mathrm{CO}}_2, $$ respiratory exchange ratio, and metabolic rate. Results: Compared with constant inflow, the PID controller allowed both a faster rise time and long-term maintenance of a stable CO2 concentration inside the calorimeter, resulting in more accurate V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ estimates (mean hourly error, PID: -0.9%, 60 L/min = -2.3%, p < 0.05) during static infusions. During dynamic infusions mimicking exercise sessions, the PID controller achieved smaller errors for V̇CO2$$ \dot{\mathrm{V}}{\mathrm{CO}}_2 $$ (mean: -0.6% vs. -2.7%, p = 0.02) and respiratory exchange ratio (mean: 0.5% vs. -3.1%, p = 0.02) compared with constant inflow conditions, with similar V̇O2$$ \dot{\mathrm{V}}{\mathrm{O}}_2 $$ (p = 0.97) and metabolic rate (p = 0.76) errors. Conclusions: PID control in a whole-room indirect calorimeter system leads to more accurate measurements of substrate oxidation during dynamic metabolic studies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.