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Discrimination of Swiss cheese from 5 different factories by high impact volatile organic compound profiles determined by odor activity value using selected ion flow tube mass spectrometry and odor threshold.
J Food Sci. 2013 Oct; 78(10):C1509-C1515.JF

Abstract

Swiss cheese contains more than 200 volatile organic compounds (VOCs). Gas chromatography-mass spectrometry has been utilized for the analysis of volatile compounds in food products; however, it is not sensitive enough to measure VOCs directly in the headspace of a food at low concentrations. Selected ion flow tube mass spectrometry (SIFT-MS) provides a basis for determining the concentrations of VOCs in the head space of the sample in real time at low concentration levels of parts per billion/trillion by volume. Of the Swiss cheese VOCs, relatively few have a major impact on flavor quality. VOCs with odor activity values (OAVs) (concentration/odor threshold) greater than one are considered high-impact flavor compounds. The objective of this study was to utilize SIFT-MS concentrations in conjunction with odor threshold values to determine OAVs thereby identifying high-impact VOCs to use for differentiating Swiss cheese from five factories and identify the factory variability. Seventeen high-impact VOCs were identified for Swiss cheese based on an OAV greater than one in at least 1 of the 5 Swiss cheese factories. Of these, 2,3-butanedione was the only compound with significantly different OAVs in all factories; however, cheese from any pair of factories had multiple statistically different compounds based on OAV. Principal component analysis using soft independent modeling of class analogy statistical differentiation plots, with all of the OAVs, showed differentiation between the 5 factories. Overall, Swiss cheese from different factories was determined to have different OAV profiles utilizing SIFT-MS to determine OAVs of high impact compounds.

Authors+Show Affiliations

Dept. of Food Science & Technology, The Ohio State Univ., 2015 Fyffe Rd., Columbus, OH 43210, U.S.A.Dept. of Food Science & Technology, The Ohio State Univ., 2015 Fyffe Rd., Columbus, OH 43210, U.S.A.Dept. of Food Science & Technology, The Ohio State Univ., 2015 Fyffe Rd., Columbus, OH 43210, U.S.A.Dept. of Food Science & Technology, The Ohio State Univ., 2015 Fyffe Rd., Columbus, OH 43210, U.S.A.Dept. of Food Science & Technology, The Ohio State Univ., 2015 Fyffe Rd., Columbus, OH 43210, U.S.A.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24106758

Citation

Taylor, Kaitlyn, et al. "Discrimination of Swiss Cheese From 5 Different Factories By High Impact Volatile Organic Compound Profiles Determined By Odor Activity Value Using Selected Ion Flow Tube Mass Spectrometry and Odor Threshold." Journal of Food Science, vol. 78, no. 10, 2013, pp. C1509-C1515.
Taylor K, Wick C, Castada H, et al. Discrimination of Swiss cheese from 5 different factories by high impact volatile organic compound profiles determined by odor activity value using selected ion flow tube mass spectrometry and odor threshold. J Food Sci. 2013;78(10):C1509-C1515.
Taylor, K., Wick, C., Castada, H., Kent, K., & Harper, W. J. (2013). Discrimination of Swiss cheese from 5 different factories by high impact volatile organic compound profiles determined by odor activity value using selected ion flow tube mass spectrometry and odor threshold. Journal of Food Science, 78(10), C1509-C1515. https://doi.org/10.1111/1750-3841.12249
Taylor K, et al. Discrimination of Swiss Cheese From 5 Different Factories By High Impact Volatile Organic Compound Profiles Determined By Odor Activity Value Using Selected Ion Flow Tube Mass Spectrometry and Odor Threshold. J Food Sci. 2013;78(10):C1509-C1515. PubMed PMID: 24106758.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of Swiss cheese from 5 different factories by high impact volatile organic compound profiles determined by odor activity value using selected ion flow tube mass spectrometry and odor threshold. AU - Taylor,Kaitlyn, AU - Wick,Cheryl, AU - Castada,Hardy, AU - Kent,Kyle, AU - Harper,W James, PY - 2013/03/18/received PY - 2013/07/21/accepted PY - 2013/10/11/entrez PY - 2013/10/11/pubmed PY - 2014/5/23/medline KW - Swiss cheese KW - odor activity value (OAV) KW - selected ion flow tube mass spectrometry (SIFT-MS) KW - volatile organic compound (VOC) SP - C1509 EP - C1515 JF - Journal of food science JO - J Food Sci VL - 78 IS - 10 N2 - Swiss cheese contains more than 200 volatile organic compounds (VOCs). Gas chromatography-mass spectrometry has been utilized for the analysis of volatile compounds in food products; however, it is not sensitive enough to measure VOCs directly in the headspace of a food at low concentrations. Selected ion flow tube mass spectrometry (SIFT-MS) provides a basis for determining the concentrations of VOCs in the head space of the sample in real time at low concentration levels of parts per billion/trillion by volume. Of the Swiss cheese VOCs, relatively few have a major impact on flavor quality. VOCs with odor activity values (OAVs) (concentration/odor threshold) greater than one are considered high-impact flavor compounds. The objective of this study was to utilize SIFT-MS concentrations in conjunction with odor threshold values to determine OAVs thereby identifying high-impact VOCs to use for differentiating Swiss cheese from five factories and identify the factory variability. Seventeen high-impact VOCs were identified for Swiss cheese based on an OAV greater than one in at least 1 of the 5 Swiss cheese factories. Of these, 2,3-butanedione was the only compound with significantly different OAVs in all factories; however, cheese from any pair of factories had multiple statistically different compounds based on OAV. Principal component analysis using soft independent modeling of class analogy statistical differentiation plots, with all of the OAVs, showed differentiation between the 5 factories. Overall, Swiss cheese from different factories was determined to have different OAV profiles utilizing SIFT-MS to determine OAVs of high impact compounds. SN - 1750-3841 UR - https://www.unboundmedicine.com/medline/citation/24106758/Discrimination_of_Swiss_cheese_from_5_different_factories_by_high_impact_volatile_organic_compound_profiles_determined_by_odor_activity_value_using_selected_ion_flow_tube_mass_spectrometry_and_odor_threshold_ DB - PRIME DP - Unbound Medicine ER -