2014
DOI: 10.1016/j.aca.2014.06.035
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Independent components analysis coupled with 3D-front-face fluorescence spectroscopy to study the interaction between plastic food packaging and olive oil

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Cited by 28 publications
(23 citation statements)
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“…The multifaceted nature of the studies reviewed here suggests that the application of more recently developed strategies of chemometrics data treatment, such as independent components analysis (Kassouf et al. ), would be beneficial in separating the chemical influences of Cu from that of other components of the wine matrix.…”
Section: The Need For Further Researchmentioning
confidence: 99%
“…The multifaceted nature of the studies reviewed here suggests that the application of more recently developed strategies of chemometrics data treatment, such as independent components analysis (Kassouf et al. ), would be beneficial in separating the chemical influences of Cu from that of other components of the wine matrix.…”
Section: The Need For Further Researchmentioning
confidence: 99%
“…In addition to the storage-related changes of the chemical properties and organoleptic characteristics of EVOO [1] [5] [7] [12], the interaction between EVOO and its packaging has been documented under accelerated and real-time conditions [10] [11] [13] [14]. Overall, the interaction between packaging and food combines two phenomena: migration and sorption.…”
Section: Introductionmentioning
confidence: 99%
“…In the last decade, polylactide (PLA), a new bio-based plastic packaging material, has started to replace traditional petro-based plastics as food industries have been devoted to the use of biodegradable materials to reduce the accumulation of plastics waste [10] [17]. Recently, PLA is being used as a food packaging polymer for short shelf life products such as containers, drinking cups and salad cups because it provided the excellent properties at a low cost as compared to other biodegradable polymers [17].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the statistical methods based on second-order moments, ICA uses fourth-order moment of the signals to obtain the latent variables (Wang et al, 2008). Recent applications of ICA for spectroscopic data interpretation includes processing of infrared spectra of marine organic matter aggregates (Monakhova et al, 2015), detection of orange juice frauds using front-face fluorescence spectroscopy (Ammari et al, 2015), spectrophotometric analysis of polysaccharide/milk protein interactions with methylene blue (Rohart et al, 2015), near-infrared spectroscopy for analysis of bioactive components (Chuang et al, 2014a), near infrared spectroscopy for evaluation of rice freshness (Chuang et al, 2014b), analysis of Raman images of pharmaceutical drug product (Boiret et al, 2014), fluorescence spectroscopy for studying interaction between plastic food packaging and olive oil (Kassouf et al, 2014) and to characterise organic matter in soils (Ammari et al, 2014). The outcomes of these studies indicate that ICA simplified the interpretation of the results by decomposing the original spectral data into ''source signals''.…”
Section: Introductionmentioning
confidence: 99%