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Multiple internal standard normalization for improving HS-SPME-GC-MS quantitation in virgin olive oil volatile organic compounds (VOO-VOCs) profile.
Talanta. 2017 Apr 01; 165:641-652.T

Abstract

The commercial value of virgin olive oils (VOOs) strongly depends on their classification, also based on the aroma of the oils, usually evaluated by a panel test. Nowadays, a reliable analytical method is still needed to evaluate the volatile organic compounds (VOCs) and support the standard panel test method. To date, the use of HS-SPME sampling coupled to GC-MS is generally accepted for the analysis of VOCs in VOOs. However, VOO is a challenging matrix due to the simultaneous presence of: i) compounds at ppm and ppb concentrations; ii) molecules belonging to different chemical classes and iii) analytes with a wide range of molecular mass. Therefore, HS-SPME-GC-MS quantitation based upon the use of external standard method or of only a single internal standard (ISTD) for data normalization in an internal standard method, may be troublesome. In this work a multiple internal standard normalization is proposed to overcome these problems and improving quantitation of VOO-VOCs. As many as 11 ISTDs were used for quantitation of 71 VOCs. For each of them the most suitable ISTD was selected and a good linearity in a wide range of calibration was obtained. Except for E-2-hexenal, without ISTD or with an unsuitable ISTD, the linear range of calibration was narrower with respect to that obtained by a suitable ISTD, confirming the usefulness of multiple internal standard normalization for the correct quantitation of VOCs profile in VOOs. The method was validated for 71 VOCs, and then applied to a series of lampante virgin olive oils and extra virgin olive oils. In light of our results, we propose the application of this analytical approach for routine quantitative analyses and to support sensorial analysis for the evaluation of positive and negative VOOs attributes.

Authors+Show Affiliations

PromoFirenze, Azienda Speciale della CCIAA di Firenze, Divisione Laboratorio Chimico, Via Orcagna 70, 50121 Firenze, Italy.PromoFirenze, Azienda Speciale della CCIAA di Firenze, Divisione Laboratorio Chimico, Via Orcagna 70, 50121 Firenze, Italy.PromoFirenze, Azienda Speciale della CCIAA di Firenze, Divisione Laboratorio Chimico, Via Orcagna 70, 50121 Firenze, Italy.Dipartimento di NEUROFARBA, Università degli Studi di Firenze, Via Ugo Schiff 6, 50019 Sesto F.no, Firenze, Italy; Multidisciplinary Centre of Research on Food Sciences (M.C.R.F.S.- Ce.R.A), Università degli Studi di Firenze, Italy. Electronic address: lo.cecchi@unifi.it.DISPAA, Università degli Studi di Firenze, Piazzale Cascine 28, 50144 Firenze, Italy.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28153311

Citation

Fortini, Martina, et al. "Multiple Internal Standard Normalization for Improving HS-SPME-GC-MS Quantitation in Virgin Olive Oil Volatile Organic Compounds (VOO-VOCs) Profile." Talanta, vol. 165, 2017, pp. 641-652.
Fortini M, Migliorini M, Cherubini C, et al. Multiple internal standard normalization for improving HS-SPME-GC-MS quantitation in virgin olive oil volatile organic compounds (VOO-VOCs) profile. Talanta. 2017;165:641-652.
Fortini, M., Migliorini, M., Cherubini, C., Cecchi, L., & Calamai, L. (2017). Multiple internal standard normalization for improving HS-SPME-GC-MS quantitation in virgin olive oil volatile organic compounds (VOO-VOCs) profile. Talanta, 165, 641-652. https://doi.org/10.1016/j.talanta.2016.12.082
Fortini M, et al. Multiple Internal Standard Normalization for Improving HS-SPME-GC-MS Quantitation in Virgin Olive Oil Volatile Organic Compounds (VOO-VOCs) Profile. Talanta. 2017 Apr 1;165:641-652. PubMed PMID: 28153311.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Multiple internal standard normalization for improving HS-SPME-GC-MS quantitation in virgin olive oil volatile organic compounds (VOO-VOCs) profile. AU - Fortini,Martina, AU - Migliorini,Marzia, AU - Cherubini,Chiara, AU - Cecchi,Lorenzo, AU - Calamai,Luca, Y1 - 2016/12/28/ PY - 2016/09/02/received PY - 2016/12/22/revised PY - 2016/12/23/accepted PY - 2017/2/4/entrez PY - 2017/2/6/pubmed PY - 2018/8/29/medline KW - Aroma KW - HS-SPME-GC-MS KW - Validation KW - Virgin olive oil SP - 641 EP - 652 JF - Talanta JO - Talanta VL - 165 N2 - The commercial value of virgin olive oils (VOOs) strongly depends on their classification, also based on the aroma of the oils, usually evaluated by a panel test. Nowadays, a reliable analytical method is still needed to evaluate the volatile organic compounds (VOCs) and support the standard panel test method. To date, the use of HS-SPME sampling coupled to GC-MS is generally accepted for the analysis of VOCs in VOOs. However, VOO is a challenging matrix due to the simultaneous presence of: i) compounds at ppm and ppb concentrations; ii) molecules belonging to different chemical classes and iii) analytes with a wide range of molecular mass. Therefore, HS-SPME-GC-MS quantitation based upon the use of external standard method or of only a single internal standard (ISTD) for data normalization in an internal standard method, may be troublesome. In this work a multiple internal standard normalization is proposed to overcome these problems and improving quantitation of VOO-VOCs. As many as 11 ISTDs were used for quantitation of 71 VOCs. For each of them the most suitable ISTD was selected and a good linearity in a wide range of calibration was obtained. Except for E-2-hexenal, without ISTD or with an unsuitable ISTD, the linear range of calibration was narrower with respect to that obtained by a suitable ISTD, confirming the usefulness of multiple internal standard normalization for the correct quantitation of VOCs profile in VOOs. The method was validated for 71 VOCs, and then applied to a series of lampante virgin olive oils and extra virgin olive oils. In light of our results, we propose the application of this analytical approach for routine quantitative analyses and to support sensorial analysis for the evaluation of positive and negative VOOs attributes. SN - 1873-3573 UR - https://www.unboundmedicine.com/medline/citation/28153311/Multiple_internal_standard_normalization_for_improving_HS_SPME_GC_MS_quantitation_in_virgin_olive_oil_volatile_organic_compounds__VOO_VOCs__profile_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0039-9140(16)31033-5 DB - PRIME DP - Unbound Medicine ER -