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Determination of Volatile Aroma Composition Profiles of Coco de Mèr (Lodoicea Maldivica) Fruit: Analytical Study by HS-SPME and GC/MS Techniques

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Abstract

This work reports the detection and identification of volatile chemical compounds in fruit kernel of “Lodoicea maldivica” coco nucifera palm by gas chromatographic method. The analysis was performed by HS-SPME and GC/MS techniques to determine volatile aroma composition profiles in internal and external pulp. No qualitative differences in flavor composition were observed between two pulp parts, but there were notable variations in the abundance levels of the prominent compounds. Computational method was used to extract individual component mass spectra from GC/MS data files by using the AMDIS version 2.65 software. With such a procedure we are able to construct our own mass spectra library determining retention indices for chemical compounds of our interest in the used specific experimental conditions.

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Acknowledgments

Prof. Gian Gualberto Volpi died during the preparation of the manuscript. This work and our future endeavours are dedicated to him, whose example, intellectual honesty and genuine love of chemistry continue to inform our scientific life. Financial support by the “VIS MEDICATRIX NATURAE s.r.l.” – Marradi (FI – Italy) is gratefully acknowledged by the authors.

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Correspondence to Stefano Falcinelli .

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Sebastiani, B., Malfatti, D., Giorgini, M., Falcinelli, S. (2017). Determination of Volatile Aroma Composition Profiles of Coco de Mèr (Lodoicea Maldivica) Fruit: Analytical Study by HS-SPME and GC/MS Techniques. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10406. Springer, Cham. https://doi.org/10.1007/978-3-319-62398-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-62398-6_4

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