Postmortem Metabolic, Physicochemical, and Lipid Composition Changes in Litopenaeus vannamei in Response to Harvest Procedures

Zamora-Méndez, Saúl; Robles-Romo, Arlett; Marin-Peralta, Erica; Arjona, Olivia; Apún-Molina, Juan Pablo; Beltrán-Lugo, Ana I.; Palacios, Elena; Racotta, Ilie S.

doi:10.1080/10498850.2017.1376236

Cited by 4 publications

(4 citation statements)

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“…The LOOH content in shrimp was analysed in the chloroform–methanol (2:1, v/v) extract was estimated by the ferric thiocyanate method as described in Zamora‐Méndez et al () with absorbance reading at 505 nm on a microplate reader (Multiscan GO, Thermo Fisher Scientific), using cumene hydroperoxide (Sigma).…”

Section: Methodsmentioning

confidence: 99%

“…During harvest or general handling for biometrics, shrimp are captured and placed in containers often without water, and thus exposed to air. This handling can produce a whitish coloration of the abdomen, followed by increased melanization spots and can ultimately decrease the quality parameters of shrimp for human consumption (Robles‐Romo, Arjona, & Racotta, ; Zamora‐Méndez et al, ). Stress by handling is also common in shrimp when they are weighed or transferred between ponds to change densities during grow‐out, when in addition to persecution, capture and exposure to air, there is a reintroduction to ponds (Fotedar & Evans, ; Mercier et al, ; Neil, ), which can lead to increased reactive oxygen species (ROS) (Liu et al, ; Robles‐Romo, Zenteno‐Savín, & Racotta, ; Sang & Fotedar, ).…”

Section: Introductionmentioning

confidence: 99%

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Stress response and lipid composition in shrimpLitopenaeus vannameifed diets enriched with squid or scallop viscera meal

et al. 2020

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We substituted 10% of fishmeal with scallop (Argopecten ventricosus) or squid (Dosidiscus gigas) by‐product meal in a feed for shrimp (Litopenaeus vannamei) growth assay that lasted 60 days and then shrimps were submitted to handling stress. Shrimp fed the control diet had smaller weight gain and lower recovery after stress. Prostaglandins in gills were affected by diet and stress, with significant differences in shrimp fed the control diet before and after the stress. Hydroperoxides were increased after stress, while isoprostanoids were higher in shrimp fed the control diet. The gene expression of Glutathione peroxidase and Catalase was increased on the stressed shrimp fed the scallop diet, with no differences among diets for Superoxide dismutase or Cyclooxygenase. Arachidonic acid in the phospholipid fraction of muscle was the only fatty acid affected by stress and diet. Cholesterol oxidation products were significantly higher in shrimp fed the scallop diet compared to shrimp fed the control diet before applying the stress. A PCA analysis grouped in one‐factor growth variables, as well as Superoxide dismutase, esterified astaxanthin and isoprostane, while another factor was determined by stress, prostaglandin and hydroperoxide levels in gills. The partial substitution of fishmeal with scallop of squid by‐product meals affected growth and stress differently, indicating shrimp that grew up more were not necessarily more tolerant to handling stress, which can have a strong repercussion in aquaculture, particularly during density control, recording of growth and harvest.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stress response and lipid composition in shrimpLitopenaeus vannameifed diets enriched with squid or scallop viscera meal

et al. 2020

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“…In each layer of convolution, ReLU function (Rectified Linear Unit) is used as the activation function [24]. Basically, it is applied in each layer for the purpose of doing mathematical operation on each entry and its function is defined by the following formula (2).…”

Section: Figure 5 Classifier Model For Training and Testing Phasementioning

confidence: 99%

“…Shrimp is one of the most popular aquatic products among people worldwide as it has unique characteristics in terms of taste and exquisite nature. Shrimp is highly perishable food and contains fundamental nutrients like easily digestible proteins, fats and vitamins [2]. As the human living standards changes rapidly, the quality of shrimp becomes a necessary factor valued by the consumers.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Approach of CNN and SVM for Shrimp Freshness Diagnosis in Aquaculture Monitoring System using IoT based Learning Support System

Prema¹,

Prema²

2022

Journal of Internet Technology

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Intelligent monitoring and spoilage detection of meat products is one of the most efficient approach which ensures that the food is consumed when it is fresh and avoids health hazards. Shrimp is most popular in terms of nutrition and exquisite nature. Shrimp has its own biochemical components like protein, carbohydrate, lipid and amino acids. However, the quality and freshness of shrimp is hindered in the post-harvested phase due to storage, handling and processing. The objective of this work is to propose an IoT- enabled real time vision-based support system for diagnosis of shrimp freshness, which is capable of performing assessment of quality and freshness using effective deep learning framework based on convolutional neural networks (CNN) and Support Vector Machine (SVM). The proposed model was measured with metrics such as precision, accuracy, F1 score which is respectively compared with the classical model (CNN with SoftMax) respectively. The comparisons shows that the hybrid model achieves 96.2% which is better than the classic model 94.7%. Based on this, it is observed that hybrid model using CNN and SVM found to be a better approach, which makes a difference to decrease the quality misfortune and help in advancement of criticism framework in industry 4.0.

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NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Identify Shrimp Freshness

Chen

Guo

et al. 2020

Applied Sciences

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In this study, a hyperspectral imaging system of 866.4–1701.0 nm, combined with a variety of spectral processing methods were adopted to identify shrimp freshness. To gain the optimal model combination, three preprocessing methods (Savitzky-Golay first derivative (SG1), multivariate scatter correction (MSC), and standard normal variate (SNV)), three characteristic wavelength extraction algorithms (random frog algorithm (RFA), uninformative variables elimination (UVE), and competitive adaptive reweighted sampling (CARS)), and four discriminant models (partial least squares discrimination analysis (PLS-DA), least squares support vector machine (LSSVM), random forest (RF), and extreme learning machine (ELM)) were employed for experimental study. First of all, due to the full wavelength modeling analysis, three preprocessing methods were utilized to preprocess the original spectral data. The analysis showed that the spectral data processed by the SNV method had the best performance among the four discriminant models. Secondly, due to the characteristic wavelength modeling analysis, three characteristic wavelength extraction algorithms were utilized to extract the characteristic wavelength of the SNV-processed spectral data. It was found that the CARS algorithm achieved the best performance among the three characteristic wavelength extraction algorithms, and the combining adoption of the ELM model and different characteristic wavelength extraction algorithms obtained the best results. Therefore, the model based on SNV-CARS-ELM obtained the best performance and was elected as the optimal model. Lastly, for accurately and explicitly displaying the refrigeration days of shrimps, the original hyperspectral images of shrimps were substituted into the SNV-CARS-ELM model, thus obtaining the general classification accuracy of 97.92%, and the object-wise method was used to visualize the classification results. As a result, the method proposed in this study can effectively detect the freshness of shrimps.

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Postmortem Metabolic, Physicochemical, and Lipid Composition Changes in Litopenaeus vannamei in Response to Harvest Procedures

Cited by 4 publications

References 40 publications

Stress response and lipid composition in shrimpLitopenaeus vannameifed diets enriched with squid or scallop viscera meal

Stress response and lipid composition in shrimpLitopenaeus vannameifed diets enriched with squid or scallop viscera meal

Hybrid Approach of CNN and SVM for Shrimp Freshness Diagnosis in Aquaculture Monitoring System using IoT based Learning Support System

NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Identify Shrimp Freshness

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