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José S. Câmara - One of the best experts on this subject based on the ideXlab platform.

  • Profiling of Passion fruit volatiles: An effective tool to discriminate between species and varieties
    Food Research International, 2015
    Co-Authors: Priscilla Porto-figueira, Ana Freitas, Catarina J. Cruz, José A. Figueira, José S. Câmara
    Abstract:

    Abstract The aim of this work was to gain insights on the volatile composition of nine Passion Fruits grown at Madeira Island (Portugal) – Yellow, Purple, Lemon, Orange, Pineapple, Peach, Melon, Banana and Tomato – and discriminate between them. The volatile composition of these Fruits has been investigated using the same analytical technique, HS–SPME/GC–MS and multivariate analysis (MVA). The selected SPME methodology (DVB/CAR/PDMS fiber at 40 ± 1 °C for 30 min and 10% (w/w) of NaCl under stirring mode (47 × g)) was applied in the profiling of nine different Passion fruit samples by GC–MS, allowing the identification of up to 169 volatile compounds belonging to different chemical groups, namely linear and branched esters, terpenes, alcohols and others. Esters were found to be the dominant metabolites regardless of Passion fruit sample, with hexyl hexanoate (ranging from 6 to 31%), methyl hexanoate (14–75%) ethyl hexanoate (12–53%) and hexyl butanoate (11–26%) being the principal volatile compounds found, followed by cis-β-ocimene (from 8 to 55%), (E)-2-hexenal (4 to 10% for Banana and Tomato Passion fruit samples) and eucalyptol (18% for Tomato Passion fruit). The results revealed that the differences in the volatile profile among the studied Passion Fruits were essentially qualitative, with only 7 common volatiles found in all samples, in different abundance. Advanced statistical techniques (PCA and PLS-DA) were used to explore data. Characteristic markers were successively identified using the NIST library, thus showing that the volatile profile was able to differentiate all nine species and varieties. Profiling of Passion fruit volatile metabolites can provide an effective tool to characterize the product and to extract useful information concerning its quality or geographic origin.

  • Effect of time and temperature on vitamin C stability in horticultural extracts. UHPLC-PDA vs iodometric titration as analytical methods
    LWT - Food Science and Technology, 2013
    Co-Authors: Vítor Spínola, José S. Câmara, Berta Rodrigues Mendes, Paula C. Castilho
    Abstract:

    Abstract Several Fruits and vegetables from Madeira Island (Portugal) were evaluated by two analytical methods for their total vitamin C content ( l -ascorbic acid, l -AA and dehydroascorbic acid, DHAA). DHAA was determined indirectly with DL-1,4-dithiotreitol (DTT) applied as a pre-column reductant. Ultra high performance liquid chromatography coupled to photodiode array (UHPLC-PDA) determinations were compared with l -AA content obtained by a classic iodometric titration method. The stability of vitamin C in horticultural extracts stored at different temperatures was also investigated. Red peppers represented the better source of vitamin C followed by green peppers and papayas. Passion Fruits and cherimoyas were the analyzed foodstuffs with lowest vitamin C content. Both analytical methods were suitable for l -AA analysis in various food commodities, the UHPLC-PDA technique being preferred due to its advantages of selectivity, speed and accuracy. The degradation study showed that horticultural extracts were stable at least 24 h at 4 °C and during 4 weeks when stored at −80 °C.

Gabrieli Alves De Oliveira - One of the best experts on this subject based on the ideXlab platform.

  • comparison of nir and mir spectroscopic methods for determination of individual sugars organic acids and carotenoids in Passion fruit
    Food Research International, 2014
    Co-Authors: Catherine M.g.c. Renard, Gabrieli Alves De Oliveira, Fernanda De Castilhos, Sarah Bureau
    Abstract:

    Abstract In this work, NIR and MIR spectroscopy was investigated and compared for predicting Passion fruit ripening parameters as sugars, organic acids and carotenoids. Spectra of 56 samples of the lyophilized Passion fruit were collected using an integrating sphere in NIR range and attenuated total reflectance accessory in MIR range. Individual sugars (sucrose, glucose and fructose), organic acids (malic and citric acids) and carotenoids (β-carotene) contents were determined by reference methods. Spectral and reference data were analyzed by principal component analysis. Partial least square regression (PLSR) was used to establish calibration models. MIR technique was better than the NIR technique for glucose (R 2 v  = 0.942), fructose (R 2 v  = 0.855), sucrose (R 2 v  = 0.818), total sugar (R 2 v  = 0.914) and citric acid (R 2 v  = 0.913) content determination. On the other hand, NIR was superior for total acids (R 2 v  = 0.903) content determination. For malic acid and β-carotene contents both methods were unsatisfactory due to low concentrations of these constituents in the Passion Fruits.

Armin Mosandl - One of the best experts on this subject based on the ideXlab platform.

Sarah Bureau - One of the best experts on this subject based on the ideXlab platform.

  • comparison of nir and mir spectroscopic methods for determination of individual sugars organic acids and carotenoids in Passion fruit
    Food Research International, 2014
    Co-Authors: Catherine M.g.c. Renard, Gabrieli Alves De Oliveira, Fernanda De Castilhos, Sarah Bureau
    Abstract:

    Abstract In this work, NIR and MIR spectroscopy was investigated and compared for predicting Passion fruit ripening parameters as sugars, organic acids and carotenoids. Spectra of 56 samples of the lyophilized Passion fruit were collected using an integrating sphere in NIR range and attenuated total reflectance accessory in MIR range. Individual sugars (sucrose, glucose and fructose), organic acids (malic and citric acids) and carotenoids (β-carotene) contents were determined by reference methods. Spectral and reference data were analyzed by principal component analysis. Partial least square regression (PLSR) was used to establish calibration models. MIR technique was better than the NIR technique for glucose (R 2 v  = 0.942), fructose (R 2 v  = 0.855), sucrose (R 2 v  = 0.818), total sugar (R 2 v  = 0.914) and citric acid (R 2 v  = 0.913) content determination. On the other hand, NIR was superior for total acids (R 2 v  = 0.903) content determination. For malic acid and β-carotene contents both methods were unsatisfactory due to low concentrations of these constituents in the Passion Fruits.

Sylvie Bureau - One of the best experts on this subject based on the ideXlab platform.

  • Comparison of NIR and MIR spectroscopic methods for determination of individual sugars, organic acids and carotenoids in Passion fruit
    Food Research International, 2014
    Co-Authors: Gabrieli Alvès De Oliveira, Fernanda De Castilhos, Catherine Renard, Sylvie Bureau
    Abstract:

    In this work, NIR and MIR spectroscopy was investigated and compared for predicting Passion fruit ripening parameters as sugars, organic acids and carotenoids. Spectra of 56 samples of the lyophilized Passion fruit were collected using an integrating sphere in NIR range and attenuated total reflectance accessory in MIR range. Individual sugars (sucrose, glucose and fructose), organic acids (malic and citric acids) and carotenoids (beta-carotene) contents were determined by reference methods. Spectral and reference data were analyzed by principal component analysis. Partial least square regression (PLSR) was used to establish calibration models. MIR technique was better than the NIR technique for glucose (R-v(2) = 0.942), fructose (R-v(2) = 0.855), sucrose (R-v(2) = 0.818), total sugar (R-v(2), = 0.914) and citric acid (R-v(2) = 0.913) content determination. On the other hand, NIR was superior for total acids (R-v(2) = 0.903) content determination. For malic acid and beta-carotene contents both methods were unsatisfactory due to low concentrations of these constituents in the Passion Fruits. (C) 2013 Published by Elsevier Ltd.