The origin of mussels (Mytilus galloprovincialis): NIRS explanatory identification and the effect on consumers

Puleo, Sharon; Monaco, Rossella Di; Langellotti, Antonio Luca; Masi, Paolo

doi:10.1016/j.fochx.2022.100497

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…The results shown here are in line with previous studies. The NIRS successfully discriminated Mytilus galloprovincialis Lamarck, 1819 from six different European areas (Puleo et al, 2022). Fuentes et al (2009) evidenced differences in the chemical composition of the M. 2022) evaluated elemental contamination in P. perna from Jurujuba Beach, and concluded that the ingestion of these mussels by human consumers may have potential risks, especially for the local population, which may consume this shellfish relatively frequently, given that the concentrations of some chemical elements exceed the levels recommended for human consumption by international and Brazilian regulatory agencies.…”

Section: Resultsmentioning

confidence: 99%

Near infrared spectroscopy: a method for the monitoring and management of the commercial exploitation of the brown mussel (Perna perna) in southeastern Brazil

et al. 2023

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Perna perna (Linnaeus, 1758) is one of the most commercialized mollusk species in Brazil. The individuals with a shell length of at least 50 mm are considered to be adults and suitable for commercialization and human consumption. However, the lack of control over the size of extracted mussels is a recurrent and worrisome issue, which may compromise the long-term survival of natural stocks. The present study evaluated the potential to differentiate juvenile brown mussels from adult individuals by using Near Infrared Spectroscopy (NIRS). A total of 176 mussels were obtained from Jurujuba and Vermelha beaches, both located in Guanabara Bay, in the state of Rio de Janeiro, Brazil. Spectra were obtained from the muscle group and a specific part of the shell, with the specimens being separated by size (shell length < 50 mm or > 50 mm), following the current Brazilian legislation. The classification of the muscles by mussel size obtained a hit rate of 66.03%, while the hit rate of the shells was 78%. The two groups were also distinguished efficiently when the two localities were analyzed separately. The results reflect the influence of environmental factors on the chemical composition of the P. perna adults from different areas, with a 85.71% hit rate. The results indicate that NIRS is a potentially effective diagnostic tool for the monitoring and management of the commercial exploitation of natural P. perna stocks.

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Section: Resultsmentioning

confidence: 99%

Near infrared spectroscopy: a method for the monitoring and management of the commercial exploitation of the brown mussel (Perna perna) in southeastern Brazil

et al. 2023

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“…Recently, near-infrared spectroscopy (NIRS) coupled with multivariate statistical analysis has been widely used to trace the origins of foods and herbs ( Puleo et al, 2022 , Zheng et al, 2022 ) and determine starch, fat, protein, and saponin contents in crops, such as rice and soybeans, for quality control ( Bagchi et al, 2016 , Berhow et al, 2020 , Shi et al, 2022 ). Owing to its rapid and non-destructive sampling, simple operation, good stability, and high efficiency, NIRS has advanced in qualitative identification and quantitative analysis in the field of food and medicine, thus showing the broad application prospects of NIRS ( Nagy et al, 2022 , Nobari Moghaddam et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Variations in the morphological and chemical composition of the rhizomes of Polygonatum species based on a common garden experiment

et al. 2023

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Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose

Yavuzer,

Köse,

Uslu

2024

Food Measure

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In this study, the performance of a pre-designed and low-cost Arduino electronic nose for determining the quality of stuffed mussels was analyzed. In addition, 1000 images were taken on each storage day in order to determine the quality levels of stuffed mussel groups with open and closed shells by machine learning. Freshness limit values of stuffed mussels were determined as 200 for MQ3 and MQ135 sensors and 100 for MQ9 on the 3rd storage day when the total viable count (TVC) value exceeded 3 log CFU/g. In the study, faster neural networks with lower prediction times, such as SqueezeNet and GoogLeNet, were compared with ResNet-50, ResNet-101 and DenseNet-201 neural networks, which have larger prediction times but better accuracy. Study data showed that residual network (ResNet) 50 and Teachable Machine (TM) had high success in determining the quality levels of stuffed mussels.

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The origin of mussels (Mytilus galloprovincialis): NIRS explanatory identification and the effect on consumers

Cited by 4 publications

References 37 publications

Near infrared spectroscopy: a method for the monitoring and management of the commercial exploitation of the brown mussel (Perna perna) in southeastern Brazil

Near infrared spectroscopy: a method for the monitoring and management of the commercial exploitation of the brown mussel (Perna perna) in southeastern Brazil

Variations in the morphological and chemical composition of the rhizomes of Polygonatum species based on a common garden experiment

Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose

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