Literature DB >> 17447793

Direct automatic determination of bitterness and total phenolic compounds in virgin olive oil using a pH-based flow-injection analysis system.

José A Garcia-Mesa1, Raquel Mateos.   

Abstract

Flavor and taste are sensorial attributes of virgin olive oil (VOO) highly appreciated by consumers. Among the organoleptic properties of VOO, bitterness is related to the natural phenolic compounds present in the oil. Sensorial analysis is the official method to evaluate VOO flavor and bitterness, which requires highly specialized experts. Alternatively, methods based on physicochemical determinations could be useful for the industry. The present work presents a flow-injection analysis system for the direct automatic determination of bitterness and total phenolic compounds in VOO without prior isolation, based on the spectral shift undergone by phenolic compounds upon pH variation. This system enables a complete automation of the process, including dilution of the sample and its sequential injection into buffer solutions of acidic and alkaline pH. The variation of the absorbance at 274 nm showed a high correlation with bitterness and the total phenolic content of VOO, due to the close relationship between these two parameters. Thus, the proposed method determines the bitterness and phenolic compounds, with results similar to those from reference methods (relative errors ranging from 1% to 8% for bitterness and from 2% and 7% for phenolic compounds). The precision evaluated at two levels of both parameters ranged between 0.6% and 1.5% for bitterness and between 0.7% and 2.6% for phenolic compounds.

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Year:  2007        PMID: 17447793     DOI: 10.1021/jf070235v

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

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2.  Supramolecular assemblies of carbon nanocoils and tetraphenylporphyrin derivatives for sensing of catechol and hydroquinone in aqueous solution.

Authors:  Syeda Aqsa Batool Bukhari; Habib Nasir; Lujun Pan; Mehroz Tasawar; Manzar Sohail; Muhammad Shahbaz; Fareha Gul; Effat Sitara
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3.  A highly sensitive and selective hydroquinone sensor based on a newly designed N-rGO/SrZrO3 composite.

Authors:  Khursheed Ahmad; Praveen Kumar; Shaikh M Mobin
Journal:  Nanoscale Adv       Date:  2019-12-09

4.  Self-template synthesis of biomass-derived 3D hierarchical N-doped porous carbon for simultaneous determination of dihydroxybenzene isomers.

Authors:  Dejian Chen; Haifeng Zhou; Hao Li; Jie Chen; Shunxing Li; Fengying Zheng
Journal:  Sci Rep       Date:  2017-11-03       Impact factor: 4.379

  4 in total

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