Statistical analysis of instrumental reproducibility as internal quality control in high-resolution respirometry

Authors

DOI:

https://doi.org/10.26124/bec:2022-0008

Keywords:

high-resolution respirometry HRR, polarographic oxygen sensor POS, air calibration, instrumental background, reproducibility, limit of detection, internal quality control IQC, standard operating procedure SOP

Summary

Evaluation of instrumental reproducibility is a primary component of quality control to quantify the precision and limit of detection of analytical procedures. A pre-analytical instrumental standard operating procedure (SOP) is implemented in high-resolution respirometry consisting of: (1) a daily SOP-POS for air calibration of the polarographic oxygen sensor (POS) in terms of oxygen concentration cO2 [µM]. This is part of the sensor test to evaluate POS performance; (2) a monthly SOP-BG (background) starting with the SOP-POS followed by the chamber test quantifying the instrumental O2 background flux. The chamber test focuses on the slope dcO2/dt [pmol∙s−1∙mL−1] to determine O2 consumption by the POS and O2 backdiffusion into the chamber as a function of cO2 in the absence of sample. Finally, zero O2 calibration completes the sensor test.

We applied this SOP in a 3-year study using 48 Oroboros O2k chambers. Stability of air and zero O2 calibration signals was monitored throughout intervals of up to 8 months without sensor service. Maximum drift over 1 to 3 days was 0.06 pmol∙s−1∙mL−1, without persistence over time since drift was <0.004 pmol∙s−1∙mL−1 for time intervals of one month, corresponding to a drift per day of 0.2 % of the signal at air saturation. Instrumental O2 background -dcO2/dt was stable within ±1 pmol∙s−1∙mL−1 when measured at monthly intervals. These results confirm the instrumental limit of detection of volume-specific O2 flux at ±1 pmol∙s−1∙mL−1. The instrumental SOP applied in the present study contributes to the generally applicable internal quality control management ensuring the unique reproducibility in high-resolution respirometry.

Cite:

Baglivo E, Cardoso LHD, Cecatto C, Gnaiger E (2022) Statistical analysis of instrumental reproducibility as internal quality control in high-resolution respirometry. Bioenerg Commun 2022.8. https://doi.org/10.26124/bec:2022-0008

Published

2022-08-04

Issue

Section

Living Communications