Potential application of PTR-TOFMS for the detection of deoxynivalenol (DON) in durum wheat

Infantino, A.; Aureli, G.; Costa, Corrado; Taiti, Cosimo; Antonucci, Francesca; Menesatti, Paolo; Pallottino, Federico; Felice, Simona De; D’Egidio, M. G.; Mancuso, Stefano

doi:10.1016/j.foodcont.2015.03.047

Cited by 23 publications

(15 citation statements)

References 61 publications

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“…The models were developed using a procedure written in the MATLAB 7.1 R14 environment. PLSDA (Sjöström et al 1986, Sabatier et al 2003, Infantino et al 2015) is a PLS regression (SIMPLS algorithm -De Jong 1993) in which the response variable is categorical, expressing the class membership of the statistical units. The objective of PLSDA is to find a model, developed from a training set of observations of known class membership, that separates classes of objects on the basis of their Xvariables.…”

Section: Discussionmentioning

confidence: 99%

“…The partitioning of the models for M3, which include all the sampling times, was conducted optimally by choosing the Euclidean distances based on the algorithm of Kennard & Stone (1969) that selects objects without the a priori knowledge of a regression model. A summary of the relative importance of the Xvariables for both Y and X model parts is given by Variable Importance in the Projection (VIP - Taiti et al 2015, Infantino et al 2015. VIP scores estimate the importance of each variable in the PLS-based models.…”

Section: Discussionmentioning

confidence: 99%

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Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

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This study addresses the characterization of volatile organic compounds (VOCs) emitted by samples of 13 different wood species, belonging to both softwoods and hardwoods groups, regularly measured at different intervals of time, after the first measurement on green wood. The same wood specimens were subjected to several cycles of water desorption and adsorption, assuming that moisture variation might play a role in both the formation and emission of VOCs. Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-TOF-MS) was used as a tool to characterize the emission of VOCs. Coupled with a multivariate class-modelling approach, this tool was able to discriminate between groups (softwood and hardwood) and in some cases between different species. However, results showed that the discriminant capacity of VOCs emission to separate species and families rapidly decreases after the first cycles of moisture variation in wood. The green wood was characterized by a richness of volatile compounds, whereas, after only the first dry cycle, wood emitted a more restricted group of compounds. We hypothesized that most of these VOCs might have originated from structural changes and degradation processes that involve the main polymers (particularly hemicellulose) constituting the cell wall of wooden cells. The results obtained are in agreement with the physical and chemical modification processes that characterize wood ageing.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

View full text Add to dashboard Cite

show abstract

“…PTR-ToF-MS spectra calibration was performed offline, using the peaks of known components, present in the spectra at any time (water isotope, H 3 , m/z = 59.05). All data from each replicate and background signal were normalized, according to Infantino et al [23], by the primary ion signal (cps to ncps). Data were filtered, all peaks ascribed to water chemistry or other interfering ions (e.g., oxygen and nitrogen monoxide) were removed, and subsequently, signals whose concentration was lower than 0.5 ncps were discarded.…”

Section: Ptr-tof-ms Analysismentioning

confidence: 99%

Polyphenols and aromatic volatile compounds in biodynamic and conventional ‘Golden Delicious’ apples (Malus domestica Bork.)

Masi

Taiti

Vignolini

et al. 2017

Eur Food Res Technol

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“…The measured protonated mass m/z = 81.070, TI as trans-2-hexenal or terpenes fragment (Infantino et al 2015), derives from LOX cascade by splitting of linolenic acid (Angerosa et al 2004); the measured protonated mass m/z = 83.086, TI as a C6 fragment was related to the hexanal family (Park et al 2013); the measured mass m/ z = 99.080, TI as cis-3-hexenal (Taiti et al 2014), has been found in olive oils as one of the most important VOCs derived from fatty acid degradation by the LOX pathway (Angerosa et al 2004). It should be noted that the compounds maximizing the separation of the different samples belonging to the VOOs group were related to negative olfactory notes perceived in defective olive oils, and attributed to hexogen to fruits biological activity or generated by chemical oxidation.…”

Section: Ptr-tof-ms Analysismentioning

confidence: 99%

Sensory, spectrometric (PTR–ToF–MS) and chemometric analyses to distinguish extra virgin from virgin olive oils

et al. 2017

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Olive oil samples were obtained from six cultivars grown in different environments, and graded by chemical analyses as extra virgin (EVOOs). These were evaluated for flavors and off-flavors, and relative VOCs spectrum as determined by PTR-ToF-MS. A hierarchical clustering of Panel test data separated olive oil in three groups, one including the samples with perceived off-flavor (VOOs), regardless of cultivar and environment. The Pearson's correlation coefficients between the mass data from PTR-ToF-MS and the sensory characteristics perceived by the Panel test were determined. A mass-to-sensory attributes correlation index was calculated. A colorcoded card was built up based on the intensities (ncps) of five selected protonated mass data that was able to distinguish EVOOs from VOOs olive oil samples.

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Potential application of PTR-TOFMS for the detection of deoxynivalenol (DON) in durum wheat

Cited by 23 publications

References 61 publications

Characterization of VOC emission profile of different wood species during moisture cycles

Characterization of VOC emission profile of different wood species during moisture cycles

Polyphenols and aromatic volatile compounds in biodynamic and conventional ‘Golden Delicious’ apples (Malus domestica Bork.)

Sensory, spectrometric (PTR–ToF–MS) and chemometric analyses to distinguish extra virgin from virgin olive oils

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