Literature DB >> 7861249

Closed-loop control of carbon dioxide concentration and pressure improves response of room respiration calorimeters.

J K Moon1, F A Vohra, O S Valerio Jimenez, M R Puyau, N F Butte.   

Abstract

Large room calorimeters are capable of rapid measurements that are usually made in hoods or small rooms. We evaluated the performance gains of four calorimeters constructed with modern control systems, sample gas preparation and data processing. Calibration of the calorimeters and instruments was performed in place, with traceability to international standards. Performance was evaluated by infusion of N2-CO2 gas and 243 24-h studies of individuals. Our subjects included children weighing 20 kg and adults engaged in heavy exercise. Errors for 24-h infusion measurements (n = 23) were -0.34 +/- 1.24% for oxygen consumption rate and 0.11 +/- 0.98% for carbon dioxide production rate. Calorimeter 90% response times were 2 to 6 min over a range of oxygen consumption rates from 100 to > 4000 mL/min. Closed-loop control of supply and exhaust air flows provided consistent 24-h mean CO2 levels (0.39 +/- 0.015%) and pressures (13.2 +/- 4.4 Pa). Room calorimeters operated with closed-loop control can be used for accurate measurement of energy expenditure rate dynamics for a wide range of individuals.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7861249     DOI: 10.1093/jn/125.2.220

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  17 in total

1.  Twelve weeks of moderate aerobic exercise without dietary intervention or weight loss does not affect 24-h energy expenditure in lean and obese adolescents.

Authors:  Gert-Jan van der Heijden; Pieter Jj Sauer; Agneta L Sunehag
Journal:  Am J Clin Nutr       Date:  2010-01-27       Impact factor: 7.045

2.  Chamber for indirect calorimetry with improved transient response.

Authors:  B Henning; R Löfgren; L Sjöström
Journal:  Med Biol Eng Comput       Date:  1996-05       Impact factor: 2.602

3.  Evidence that multiple genetic variants of MC4R play a functional role in the regulation of energy expenditure and appetite in Hispanic children.

Authors:  Shelley A Cole; Nancy F Butte; V Saroja Voruganti; Guowen Cai; Karin Haack; Jack W Kent; John Blangero; Anthony G Comuzzie; John D McPherson; Richard A Gibbs
Journal:  Am J Clin Nutr       Date:  2009-11-04       Impact factor: 7.045

4.  Validation of cross-sectional time series and multivariate adaptive regression splines models for the prediction of energy expenditure in children and adolescents using doubly labeled water.

Authors:  Nancy F Butte; William W Wong; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Issa F Zakeri
Journal:  J Nutr       Date:  2010-06-23       Impact factor: 4.798

5.  A new approach for flow-through respirometry measurements in humans.

Authors:  Edward L Melanson; Jan P Ingebrigtsen; Audrey Bergouignan; Kazunori Ohkawara; Wendy M Kohrt; John R B Lighton
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-03-03       Impact factor: 3.619

6.  Algorithm to improve accuracy of energy expended in a room calorimeter.

Authors:  Haiying Quan; Wenrui Hao; Lu Li; Ming Sun; Kuan Zhang
Journal:  Med Biol Eng Comput       Date:  2016-10-20       Impact factor: 2.602

7.  Energetic adaptations persist after bariatric surgery in severely obese adolescents.

Authors:  Nancy F Butte; Mary L Brandt; William W Wong; Yan Liu; Nitesh R Mehta; Theresa A Wilson; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Roman J Shypailo; Issa F Zakeri
Journal:  Obesity (Silver Spring)       Date:  2015-03       Impact factor: 5.002

8.  Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes.

Authors:  Jingjing Yang; Dennis D Cox; Jong Soo Lee; Peng Ren; Taeryon Choi
Journal:  Biometrics       Date:  2017-04-10       Impact factor: 2.571

9.  Prediction of energy expenditure and physical activity in preschoolers.

Authors:  Nancy F Butte; William W Wong; Jong Soo Lee; Anne L Adolph; Maurice R Puyau; Issa F Zakeri
Journal:  Med Sci Sports Exerc       Date:  2014-06       Impact factor: 5.411

10.  Cross-sectional time series and multivariate adaptive regression splines models using accelerometry and heart rate predict energy expenditure of preschoolers.

Authors:  Issa F Zakeri; Anne L Adolph; Maurice R Puyau; Firoz A Vohra; Nancy F Butte
Journal:  J Nutr       Date:  2012-11-28       Impact factor: 4.798

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.