New strategies for the differentiation of fresh and frozen/thawed fish: A rapid and accurate non-targeted method by ambient mass spectrometry and data fusion (part A)

Massaro, Andrea; Stella, Roberto; Negro, Alessandro; Bragolusi, Marco; Miano, Brunella; Arcangeli, Giuseppe; Biancotto, Giancarlo; Piro, Roberto; Tata, Alessandra

doi:10.1016/j.foodcont.2021.108364

Cited by 23 publications

(14 citation statements)

References 64 publications

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“…The signals were normalized by sum, whereas each feature was normalized by Pareto scaling. For an initial exploration, the data were concatenated by low-level data fusion [ 21 , 22 , 23 ] (Massaro, 2021, New strategies for the differentiation of fresh and frozen/thawed fish: A rapid and accurate non-targeted method by ambient mass spectrometry and data fusion (part A); Tata, 2022, Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage ; Tata, 2022, Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS, and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose ) and submitted to principal component analysis (PCA). Afterwards, the data were split into training (25 samples) and test (8 samples) sets; the training set was used to build the classification model, and the test set was withheld for further validation of the model.…”

Section: Methodsmentioning

confidence: 99%

Authentication of Edible Insects’ Powders by the Combination of DART-HRMS Signatures: The First Application of Ambient Mass Spectrometry to Screening of Novel Food

Tata

Massaro

Marzoli

et al. 2022

Foods

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This feasibility study reports the use of direct analysis in real-time high-resolution mass spectrometry (DART-HRMS) in profiling the powders from edible insects, as well as the potential for the identification of different insect species by classification modeling. The basis of this study is the revolution that has occurred in the field of analytical chemistry, with the improved capability of ambient mass spectrometry to authenticate food matrices. In this study, we applied DART-HRMS, coupled with mid-level data fusion and a learning method, to discriminate between Acheta domesticus (house cricket), Tenebrio molitor (yellow mealworm), Locusta migratoria (migratory locust), and Bombyx mori (silk moth). A distinct metabolic fingerprint was observed for each edible insect species, while the Bombyx mori fingerprint was characterized by highly abundant linolenic acid and quinic acid; palmitic and oleic acids are the statistically predominant fatty acids in black soldier fly (Hermetia illucens). Our chemometrics also revealed that the amino acid proline is a discriminant molecule in Tenebrio molitor, whereas palmitic and linoleic acids are the most informative molecular features of the house cricket (Acheta domesticus). Good separation between the four different insect species was achieved, and cross-validation gave 100% correct identification for all training samples. The performance of the random forest classifier was examined on a test set and produced excellent results, in terms of overall accuracy, sensitivity, and specificity. These results demonstrate the reliability of the DART-HRMS as a screening method in a future quality control scenario to detect complete substitution of insect powders.

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Section: Methodsmentioning

confidence: 99%

Authentication of Edible Insects’ Powders by the Combination of DART-HRMS Signatures: The First Application of Ambient Mass Spectrometry to Screening of Novel Food

Tata

Massaro

Marzoli

et al. 2022

Foods

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“…Principal component analysis applied to most abundant signals generated from fatty acids after the DART-HRMS analysis of sample lipid extracts, showed a clear separation between farmed and wild fish. Recently, the same technique was used to discriminate between fresh and frozen-thawed sea bass (Dicentrarchus labrax) by concatenating a low-level data fusion strategy to multivariate statistical analysis (Massaro et al, 2021). The score plot of partial least squared discriminant analysis applied to DART-HRMS data showed a perfect discrimination between fresh and frozen-thawed fish.…”

Section: Advanced Mass Spectrometry and Chromatographymentioning

confidence: 99%

Seafood Processing, Preservation, and Analytical Techniques in the Age of Industry 4.0

Hassoun¹,

Siddiqui

Smaoui

et al. 2022

Applied Sciences

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Fish and other seafood products are essential dietary components that are highly appreciated and consumed worldwide. However, the high perishability of these products has driven the development of a wide range of processing, preservation, and analytical techniques. This development has been accelerated in recent years with the advent of the fourth industrial revolution (Industry 4.0) technologies, digitally transforming almost every industry, including the food and seafood industry. The purpose of this review paper is to provide an updated overview of recent thermal and nonthermal processing and preservation technologies, as well as advanced analytical techniques used in the seafood industry. A special focus will be given to the role of different Industry 4.0 technologies to achieve smart seafood manufacturing, with high automation and digitalization. The literature discussed in this work showed that emerging technologies (e.g., ohmic heating, pulsed electric field, high pressure processing, nanotechnology, advanced mass spectrometry and spectroscopic techniques, and hyperspectral imaging sensors) are key elements in industrial revolutions not only in the seafood industry but also in all food industry sectors. More research is still needed to explore how to harness the Industry 4.0 innovations in order to achieve a green transition toward more profitable and sustainable food production systems.

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“…These merging strategies were explored to merge different analytical techniques and thus reveal the sophistication of extra-virgin olive oil with soft refined olive oils, 3 the counterfeiting of Italian EVOO, 4 the adulteration of spices 5 and the mislabeling of frozen-thawed fish. 6…”

Section: Statisticsmentioning

confidence: 99%

“…By using NIR, Raman, and AMS, our group has developed a significant number of non-targeted methods able to address important questions in the field of food authenticity such as the geographical origin of extra virgin olive oil, 7 the farming systems in milk production, 7 the type of fish storage used, 6 and the adulteration of spices 5 (Figure 3).…”

Section: Our Achievementsmentioning

confidence: 99%

Combination of vibrational spectroscopy, mass spectrometry and chemometrics in an innovative food chemistry laboratory of the Italian health authority and research organization for animal health and food safety: Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe)

et al. 2022

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New strategies for the differentiation of fresh and frozen/thawed fish: A rapid and accurate non-targeted method by ambient mass spectrometry and data fusion (part A)

Cited by 23 publications

References 64 publications

Authentication of Edible Insects’ Powders by the Combination of DART-HRMS Signatures: The First Application of Ambient Mass Spectrometry to Screening of Novel Food

Authentication of Edible Insects’ Powders by the Combination of DART-HRMS Signatures: The First Application of Ambient Mass Spectrometry to Screening of Novel Food

Seafood Processing, Preservation, and Analytical Techniques in the Age of Industry 4.0

Combination of vibrational spectroscopy, mass spectrometry and chemometrics in an innovative food chemistry laboratory of the Italian health authority and research organization for animal health and food safety: Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe)

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