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Assessment of Qualitative Characteristics of Carbon Dioxide Respiration Rates Evaluation in Wheat Measurements

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Abstract

This study comprises a brief summary of the quantification method for measuring carbon dioxide respiration rate (CO2 RR) in wheat as well as reliability criteria for this method. Assessed accuracy characteristics of the method enabled complex evaluation of the measurement uncertainty. Mathematical model of the CO2 RR measurement was estimated and the uncertainty sources were identified. Expanded uncertainty is calculated according to the measurement process conditions. The sources of uncertainty including sample preparation and method implementation were established using the Ishikawa diagram. A procedure of RR measurement uncertainty estimation based on the ISO GUM method is presented. A case study of CO2 RR measurement of wheat at 19% moisture content and 25 °C temperature is shown. Influence (%) of uncertainty components on the combined uncertainty is presented. Performed calculations revealed that the contributions of CO2 concentration measurement (including sampling), sample moisture content measurement and environmental conditions are the most significant factors, contributing about 97% to the overall uncertainty. The elimination of small uncertainty components was also discussed. CO2 RR for different values, from 10 to 38 (mgCO2/kg wheat/h), in wheat were measured with the expanded uncertainty of ± 2.5–6.1% (k = 2, 95% confidence level).

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References

  1. M. Kračmarová, H. Štiborová, Š. Horáčková and K. Demnerová, Rapid detection of microbial contamination in UHT milk: Practical application in dairy industry, Czech J. Food Sci., 36 (2018) 357–364.

    Article  Google Scholar 

  2. J. Zhang, H. Cui, H. Jiang, L. Fang, W. Wang, W. Su and C. Xiong, Rapid determination of theaflavins by HPLC with a new monolithic column, Czech J. Food Sci., 37 (2019) 112–119.

    Article  ADS  Google Scholar 

  3. E. Raudienė, D. Gailius, R. Vinauskienė, V. Eisinaitė, G. Balčiūnas, J. Dobilienė and L. Tamkutė, Rapid evaluation of fresh chicken meat quality by electronic nose. Czech J. Food Sci., 36 (2018) 420–426.

    Article  Google Scholar 

  4. Evaluation of measurement data—Guide to the expression of uncertainty in measurement. JCGM 100:2008 GUM 1995 with minor corrections, 2008.

  5. EURACHEM Guide CG 4 (2012), Quantifying uncertainty in analytical measurement, 3rd ed, QUAM: 2012.P1.

  6. S. K. Timothi, The Uncertainty of Measurements Physical and Chemical Metrology: Impact and Analysis, American Society for Quality, USA, 2002.

    Google Scholar 

  7. I. Kuselman, F. Pennecchi, A. Fajgelj and Y. Karpov, Human errors and reliability of test results in analytical chemistry, Accredit. Qual. Assur., 18 (2013) (1) 3–9.

    Article  Google Scholar 

  8. A. Williams, Introduction to measurement uncertainty in chemical analysis. Accreditation and Quality Assurance: Journal for Quality, Comparability and Reliability in Chemical Measurement, (1998) vol. 3, no. 3, p. 92–94.

    Article  Google Scholar 

  9. R. J. N. B. da Silva, J. R. Santos and M. F. G. F. C. Camões, A new terminology for the approaches to the quantification of the measurement uncertainty, Accreditation and Quality Assurance: Journal for Quality, Comparability and Reliability in Chemical Measurement, (2006) vol. 10, no. 12, p. 664–671.

    Article  Google Scholar 

  10. Eurolab Technical report No 1/2007. Measurement uncertainty revisited: Alternative approaches to uncertainty evaluation, EUROLAB, Paris, France.

  11. I. Helm, L. Jalukse and I. Leito, Measurement Uncertainty Estimation in Amperometric Sensors: A Tutorial Review, Sensors, 10 (2010) 4430-4455.

    Article  ADS  Google Scholar 

  12. P. Mäder, D. Hahn, D. Dubois, L. Gunst, T. Alföldi, H. Bergmann, M. Oehme, R. Amadò, H. Schneider, U. Graf, A. Velimirov, A. Fließbach and U. Niggli, Wheat quality in organic and conventional farming: results of a 21 year field experiment, J Sci Food Agric, 87 (2007) 1826–1835.

    Article  Google Scholar 

  13. I. R. B. Olivares and F. A. Lopes, Essential steps to providing reliable results using the Analytical Quality Assurance Cycle, Trends in Analytical Chemistry, 35 (2012) 109–121.

    Article  Google Scholar 

  14. E. Raudienė, D. Rušinskas, G. Balčiūnas, G. Juodeikienė and D. Gailius, Carbon Dioxide Respiration Rates in Wheat at Various Temperatures and Moisture Contents, MAPAN, 32 (1) (2017) 51–58.

    Google Scholar 

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Authors and Affiliations

  1. Institute of Metrology, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentų str.50-454, 51368, Kaunas, Lithuania

    Edita Raudienė, Darius Gailius, Justina Dobilienė, Gintautas Balčiūnas & Asta Meškuotienė

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  1. Edita Raudienė
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  2. Darius Gailius
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  3. Justina Dobilienė
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  4. Gintautas Balčiūnas
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  5. Asta Meškuotienė
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Correspondence to Edita Raudienė.

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Raudienė, E., Gailius, D., Dobilienė, J. et al. Assessment of Qualitative Characteristics of Carbon Dioxide Respiration Rates Evaluation in Wheat Measurements. MAPAN 36, 139–145 (2021). https://doi.org/10.1007/s12647-020-00380-7

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  • DOI: https://doi.org/10.1007/s12647-020-00380-7

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