TY  - JOUR
AU  - Đekić, Ilija
AU  - Lorenzo, José M.
AU  - Munekata, Paulo E. S.
AU  - Gagaoua, Mohammed
AU  - Tomašević, Igor
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5879
AB  - Sensory analysis has been, is, and will be one of the most important methods in judging food quality. As such, it is an evaluation tool involving human subjects with specific skills to conduct assigned series of tests. This review outlines main characteristics of 179 trained panels published in 16 selected scientific journals in the last 12 months, as well as training methods used for panelists, and type of sensory studies employed. The results reveal that two thirds of the panels have between eight and twelve members, with gender data provided in half of the papers. Overall duration of their initial training is presented only in around 20% of reviewed publications. When provided, duration was below 2 hr per session involving up to 10 sessions. One third of papers confirmed to have conducted training of the panel for methods employed, while almost half used experienced human subjects with no further data. Around 12% of all manuscripts have validated training of their sensory panel, while 20% of papers covered at least one criterion for assessment of their panels' performance. The majority of papers (80%) used descriptive methods, mainly with intensity scales. It is of note that 15% of papers used hedonic tests typical for consumer studies. Almost half of the scholars conducted their research in triplicates (41.3%) while almost one quarter (24%) provided no data on this subject. Type of food analyzed has no effects on the quality of data provided regarding panels, training, sensory methods, and replications.
PB  - Blackwell Publishing Ltd
T2  - Journal of Texture Studies
T1  - Review on characteristics of trained sensory panels in foodscience
DO  - 10.1111/jtxs.12616
ER  - 

@article{
author = "Đekić, Ilija and Lorenzo, José M. and Munekata, Paulo E. S. and Gagaoua, Mohammed and Tomašević, Igor",
year = "2021",
abstract = "Sensory analysis has been, is, and will be one of the most important methods in judging food quality. As such, it is an evaluation tool involving human subjects with specific skills to conduct assigned series of tests. This review outlines main characteristics of 179 trained panels published in 16 selected scientific journals in the last 12 months, as well as training methods used for panelists, and type of sensory studies employed. The results reveal that two thirds of the panels have between eight and twelve members, with gender data provided in half of the papers. Overall duration of their initial training is presented only in around 20% of reviewed publications. When provided, duration was below 2 hr per session involving up to 10 sessions. One third of papers confirmed to have conducted training of the panel for methods employed, while almost half used experienced human subjects with no further data. Around 12% of all manuscripts have validated training of their sensory panel, while 20% of papers covered at least one criterion for assessment of their panels' performance. The majority of papers (80%) used descriptive methods, mainly with intensity scales. It is of note that 15% of papers used hedonic tests typical for consumer studies. Almost half of the scholars conducted their research in triplicates (41.3%) while almost one quarter (24%) provided no data on this subject. Type of food analyzed has no effects on the quality of data provided regarding panels, training, sensory methods, and replications.",
publisher = "Blackwell Publishing Ltd",
journal = "Journal of Texture Studies",
title = "Review on characteristics of trained sensory panels in foodscience",
doi = "10.1111/jtxs.12616"
}

Đekić, I., Lorenzo, J. M., Munekata, P. E. S., Gagaoua, M.,& Tomašević, I.. (2021). Review on characteristics of trained sensory panels in foodscience. in Journal of Texture Studies
Blackwell Publishing Ltd..
https://doi.org/10.1111/jtxs.12616

Đekić I, Lorenzo JM, Munekata PES, Gagaoua M, Tomašević I. Review on characteristics of trained sensory panels in foodscience. in Journal of Texture Studies. 2021;.
doi:10.1111/jtxs.12616 .

Đekić, Ilija, Lorenzo, José M., Munekata, Paulo E. S., Gagaoua, Mohammed, Tomašević, Igor, "Review on characteristics of trained sensory panels in foodscience" in Journal of Texture Studies (2021),
https://doi.org/10.1111/jtxs.12616 . .

TY  - JOUR
AU  - Marti-Quijal, Francisco J.
AU  - Zamuz, Sol
AU  - Tomašević, Igor
AU  - Rocchetti, Gabriele
AU  - Lucini, Luigi
AU  - Marszalek, Krystian
AU  - Barba, Francisco J.
AU  - Lorenzo, José M.
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5767
AB  - Changes in physicochemical parameters, proximate composition, amino
acid and taste profiles of turkey burgers enriched at 1% with soy (control), pulses,
Chlorella and Spirulina proteins were studied.
Results: Color parameters, pH, ash content, total, essential and non-essential amino
acids were significantly different among the different type of turkey burgers prepared.
In this regard, turkey burgers made with pea protein presented the highest values for pH
and lightness, whereas the samples prepared with broad bean showed the highest
redness. The inclusion of bean and seaweed produced a marked increase of glutamic
acid, lysine and aspartic acid. However, the taste profile was similar in the different six
turkey burgers studied (soy, pea, lentil, broad bean, Chlorella and Spirulina protein).
Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) allowed
to classify turkey burgers according to protein sources, as compared to soy (control).
Textural parameters, moisture and color were found to be the most discriminant
parameters, able to describe the differences among burgers. Nonetheless, according to
the supervised OPLS model, broad beans were found to possess a similar profile to soy
(control).
Conclusion: Considering all studied parameters, the enrichment of turkey burgers with
bean proteins could be used as a promising alternative to soy proteins from a
technological point of view.
PB  - Wiley, Hoboken
T2  - Journal of the Science of Food and Agriculture
T1  - A chemometric approach to evaluate the impact of pulses, Chlorella and Spirulina on proximate composition, amino acid, and physicochemical properties of turkey burgers
EP  - 3680
IS  - 7
SP  - 3672
VL  - 99
DO  - 10.1002/jsfa.9595
ER  - 

@article{
author = "Marti-Quijal, Francisco J. and Zamuz, Sol and Tomašević, Igor and Rocchetti, Gabriele and Lucini, Luigi and Marszalek, Krystian and Barba, Francisco J. and Lorenzo, José M.",
year = "2019",
abstract = "Changes in physicochemical parameters, proximate composition, amino
acid and taste profiles of turkey burgers enriched at 1% with soy (control), pulses,
Chlorella and Spirulina proteins were studied.
Results: Color parameters, pH, ash content, total, essential and non-essential amino
acids were significantly different among the different type of turkey burgers prepared.
In this regard, turkey burgers made with pea protein presented the highest values for pH
and lightness, whereas the samples prepared with broad bean showed the highest
redness. The inclusion of bean and seaweed produced a marked increase of glutamic
acid, lysine and aspartic acid. However, the taste profile was similar in the different six
turkey burgers studied (soy, pea, lentil, broad bean, Chlorella and Spirulina protein).
Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) allowed
to classify turkey burgers according to protein sources, as compared to soy (control).
Textural parameters, moisture and color were found to be the most discriminant
parameters, able to describe the differences among burgers. Nonetheless, according to
the supervised OPLS model, broad beans were found to possess a similar profile to soy
(control).
Conclusion: Considering all studied parameters, the enrichment of turkey burgers with
bean proteins could be used as a promising alternative to soy proteins from a
technological point of view.",
publisher = "Wiley, Hoboken",
journal = "Journal of the Science of Food and Agriculture",
title = "A chemometric approach to evaluate the impact of pulses, Chlorella and Spirulina on proximate composition, amino acid, and physicochemical properties of turkey burgers",
pages = "3680-3672",
number = "7",
volume = "99",
doi = "10.1002/jsfa.9595"
}

Marti-Quijal, F. J., Zamuz, S., Tomašević, I., Rocchetti, G., Lucini, L., Marszalek, K., Barba, F. J.,& Lorenzo, J. M.. (2019). A chemometric approach to evaluate the impact of pulses, Chlorella and Spirulina on proximate composition, amino acid, and physicochemical properties of turkey burgers. in Journal of the Science of Food and Agriculture
Wiley, Hoboken., 99(7), 3672-3680.
https://doi.org/10.1002/jsfa.9595

Marti-Quijal FJ, Zamuz S, Tomašević I, Rocchetti G, Lucini L, Marszalek K, Barba FJ, Lorenzo JM. A chemometric approach to evaluate the impact of pulses, Chlorella and Spirulina on proximate composition, amino acid, and physicochemical properties of turkey burgers. in Journal of the Science of Food and Agriculture. 2019;99(7):3672-3680.
doi:10.1002/jsfa.9595 .

Marti-Quijal, Francisco J., Zamuz, Sol, Tomašević, Igor, Rocchetti, Gabriele, Lucini, Luigi, Marszalek, Krystian, Barba, Francisco J., Lorenzo, José M., "A chemometric approach to evaluate the impact of pulses, Chlorella and Spirulina on proximate composition, amino acid, and physicochemical properties of turkey burgers" in Journal of the Science of Food and Agriculture, 99, no. 7 (2019):3672-3680,
https://doi.org/10.1002/jsfa.9595 . .