Agricultural and Biosystems Engineering Publications

Campus Units

Agricultural and Biosystems Engineering, Civil, Construction and Environmental Engineering, Food Science and Human Nutrition, Veterinary Microbiology and Preventive Medicine, Toxicology

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

10-1-2017

Journal or Book Title

Food Chemistry

Volume

232

First Page

799

Last Page

807

Research Focus Area(s)

Animal Production Systems Engineering

DOI

10.1016/j.foodchem.2017.04.062

Abstract

A passive sampling method, using retracted solid-phase microextraction (SPME) – gas chromatography–mass spectrometry and time-weighted averaging, was developed and validated for tracking marker volatile organic compounds (VOCs) emitted during aerobic digestion of biohazardous animal tissue. The retracted SPME configuration protects the fragile fiber from buffeting by the process gas stream, and it requires less equipment and is potentially more biosecure than conventional active sampling methods. VOC concentrations predicted via a model based on Fick’s first law of diffusion were within 6.6–12.3% of experimentally controlled values after accounting for VOC adsorption to the SPME fiber housing. Method detection limits for five marker VOCs ranged from 0.70 to 8.44 ppbv and were statistically equivalent (p > 0.05) to those for active sorbent-tube-based sampling. The sampling time of 30 min and fiber retraction of 5 mm were found to be optimal for the tissue digestion process.

Comments

This is a manuscript of an article published as Koziel, Jacek A., Lam T. Nguyen, Thomas D. Glanville, Heekwon Ahn, Timothy S. Frana, and J. Hans van Leeuwen. "Method for sampling and analysis of volatile biomarkers in process gas from aerobic digestion of poultry carcasses using time-weighted average SPME and GC–MS." Food Chemistry 232 (2017): 799-807. DOI: 10.1016/j.foodchem.2017.04.062. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

Elsevier Ltd.

Language

en

File Format

application/pdf

Available for download on Monday, October 01, 2018

Published Version

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