Author
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Goodner, Kevin |
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KINTON, VANESSA - GERSTEL, INC. |
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Submitted to: Proceedings of Florida State Horticultural Society
Publication Type: Proceedings Publication Acceptance Date: 12/6/2006 Publication Date: 4/11/2007 Citation: Goodner, K.L., Kinton, V.R. 2006. Using a mass spectrometer library matching system to identify citrus, and other food/non-food products. Proceedings of Florida State Horticultural Society. 119:383-387. Interpretive Summary: A method that identifies products based on a composite mass spectrum using standard chemical library searching functions is presented. This technique requires fewer analyses, doesn't require advanced statistical knowledge, and uses widely known tools. The methods of creating chemical libraries is well known in the mass spectrometry field. A library of 54 products was generated, and 17 unknowns were tested against the library. Fifteen of the 17 unknown samples were correctly identified within the top two rated library matches. This level of correct matching is encouraging suggesting that this technique could be used on a larger scale for product identification. Technical Abstract: A method that identifies products based on a composite mass spectrum using standard chemical library searching functions is presented. A library of 54 products was generated, and 17 unknowns were tested against the library. Eleven of the 17 unknown samples were orrectly identified with the top rated library match, four were identified as the second best match, and 2 were not identified in the top two matches. This level of correct matching (15 of 17 as best or second best match) is encouraging suggesting that this technique could be used on a larger scale for product identification. This technique requires fewer analyses, doesn't require advanced statistical knowledge, and uses widely known tools. |
