Determination of Proximate Composition of Malaysian Horseshoe Crab (Tachypleus gigas)

This study was conducted to investigate proximate content of horseshoe crab (Tachypleusgigas) in Malaysia. To date, there has been little agreement on what the nutrition value of horseshoe crab is and how it will benefit the consumers. The samples were divided by two parts, which are roe and muscle. The Tachypleusgigas was cleaned of foreign materials and impurities manually by human hand. The samples were ground into flour and sieved through 50 μm sieve and were packaged in airtight plastic bags prior to analyses. The horseshoe crab was analyzed for its proximate composition of different body parts. The results showed that the roe and muscle of Tachypleusgigas contained moisture (50.45 % and 73.67 %), ash (0.41 % and 2.72 %), crude proteins (38.24 % and 14.62 %), crude fats (9.30 % and 8.09 %), carbohydrates (1.67 % and 0.91 %) and energy (241.42 Kcal/100 g and 134.43 Kcal/100 g), respectively. This shows that roe has better nutrition content since it has higher protein, fat and carbohydrate content, which are the main energy-providing nutrient. Overall, the proximate content of Tachypleusgigas was nearer to the shellfish rather than the finfish and can be considered as a good nutrition source.

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JUSTIFICATION OF METHODS OF POLYMERIC WASTE PROCESSING IN AGRICULTURAL PRODUCTION

ENGINEERING, ENERGY, TRANSPORT AIC ◽

10.37128/2520-6168-2021-4-11 ◽

2021 ◽

pp. 97-108

Author(s):

Yuriy Paladiichuk ◽

Inna Telyatnuk

Keyword(s):

Raw Materials ◽

Physical And Mechanical Properties ◽

Industrial Complex ◽

Body Parts ◽

Polymer Waste ◽

Processing Technologies ◽

Plastic Bags ◽

Mineral Fillers ◽

Polymeric Waste

The development of industry has led to the unlimited technological application of polymers, ranging from plastic bags, rubber, fabrics, paper and other materials. Displacing traditional materials, polymer products began to be used in agriculture. Polymers are used to make films for soil cover (mulching), anti-hail nets, shaft bushings, gears, body parts, tanks for storage and transportation of fertilizers and working fluids and many other parts. The operational properties of polymer products are becoming more and more perfect, but at the same time the methods of polymer waste management and their utilization are being developed and complicated. Over time, they can no longer be used for their intended purpose, so they are discarded and sent to landfills, while polymers are valuable structural materials and their reuse will not only be positive for the environment, but can also become a profitable branch of the agro-industrial complex. Pellet production is one of the methods of recycling polymer waste, which in the future can be used for the production of new parts, as well as added to the composition of composite materials based on organic or mineral fillers. This article examines the problem of recycling polymer waste by improving their processing technologies. The analysis of existing methods of utilization and processing of polymeric waste generated in agriculture is carried out. Determination of physical and mechanical properties of polymer waste, in particular thermoplastics. Taking into account the received information, conclusions are made and the analysis of methods of utilization and processing of polymeric waste in secondary raw materials is carried out.

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Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour Classification

Animals ◽

10.3390/ani11010050 ◽

2020 ◽

Vol 11 (1) ◽

pp. 50

Author(s):

Jennifer Salau ◽

Jan Henning Haas ◽

Wolfgang Junge ◽

Georg Thaller

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Body Parts ◽

Nearest Neighbour ◽

Data Set ◽

3D Data ◽

Holstein Friesian ◽

Knn Classification ◽

Friesian Cows

Machine learning methods have become increasingly important in animal science, and the success of an automated application using machine learning often depends on the right choice of method for the respective problem and data set. The recognition of objects in 3D data is still a widely studied topic and especially challenging when it comes to the partition of objects into predefined segments. In this study, two machine learning approaches were utilized for the recognition of body parts of dairy cows from 3D point clouds, i.e., sets of data points in space. The low cost off-the-shelf depth sensor Microsoft Kinect V1 has been used in various studies related to dairy cows. The 3D data were gathered from a multi-Kinect recording unit which was designed to record Holstein Friesian cows from both sides in free walking from three different camera positions. For the determination of the body parts head, rump, back, legs and udder, five properties of the pixels in the depth maps (row index, column index, depth value, variance, mean curvature) were used as features in the training data set. For each camera positions, a k nearest neighbour classifier and a neural network were trained and compared afterwards. Both methods showed small Hamming losses (between 0.007 and 0.027 for k nearest neighbour (kNN) classification and between 0.045 and 0.079 for neural networks) and could be considered successful regarding the classification of pixel to body parts. However, the kNN classifier was superior, reaching overall accuracies 0.888 to 0.976 varying with the camera position. Precision and recall values associated with individual body parts ranged from 0.84 to 1 and from 0.83 to 1, respectively. Once trained, kNN classification is at runtime prone to higher costs in terms of computational time and memory compared to the neural networks. The cost vs. accuracy ratio for each methodology needs to be taken into account in the decision of which method should be implemented in the application.

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Determination of volatile flavor compounds in raw and treated duck meats of different body parts

Journal of Food Biochemistry ◽

10.1111/jfbc.13908 ◽

2021 ◽

Author(s):

Zong‐Yuan Zhen ◽

Yi‐Lin Liu ◽

Jie Wang ◽

Jing‐Jun Li ◽

Xian‐Bao Li ◽

...

Keyword(s):

Flavor Compounds ◽

Body Parts ◽

Volatile Flavor Compounds ◽

Volatile Flavor

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Determination of proximate composition, fatty acid profile and total amino acid contents in samples of the European eel (Anguilla anguilla) of different weights

International Journal of Gastronomy and Food Science ◽

10.1016/j.ijgfs.2021.100364 ◽

2021 ◽

pp. 100364

Author(s):

L. Gómez-Limia ◽

N. Cobas ◽

S. Martínez

Keyword(s):

Fatty Acid ◽

Amino Acid ◽

Fatty Acid Profile ◽

Proximate Composition ◽

Anguilla Anguilla ◽

Total Amino Acid ◽

European Eel ◽

Amino Acid Contents

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Study of the Biodegrability of Degradable/Biodegradable Plastic Material in a Controlled Composting Environment

Ecological Chemistry and Engineering S ◽

10.2478/v10216-011-0025-8 ◽

2012 ◽

Vol 19 (3) ◽

pp. 347-358 ◽

Cited By ~ 6

Author(s):

Magdalena Vaverková ◽

František Toman ◽

Dana Adamcová ◽

Jana Kotovicová

Keyword(s):

Plastic Material ◽

Laboratory Scale ◽

Biodegradable Plastic ◽

Preliminary Evaluation ◽

The Czech Republic ◽

Chain Stores ◽

Plastic Bags ◽

Plastic Materials ◽

Scale Test

Study of the Biodegrability of Degradable/Biodegradable Plastic Material in a Controlled Composting EnvironmentThe objective of this study was to determine the degrability/biodegradability of disposable plastic bags available on the market that are labeled as degradable/biodegradable and those certified as compost. The investigated materials were obtained from chain stores in the Czech Republic and Poland. Seven kinds of bags (commercially available) were used in this study. One of them was a disposable bag made of HDPE and mixed with totally degradable plastic additive (TDPA additive). Another was a disposable made of polyethylene with the addition of pro-oxidant additive (d2w additive). One was labeled as 100% degradable within various periods of time, from three months up to three years, and four were certified as compostable. The test was carried out in a controlled composting environment. The biodisintegration degree of the obtained pieces was evaluated following a modified version of ČSN EN 14806 Norm "Packaging - Preliminary evaluation of the disintegration of the packaging materials under simulated composting conditions in a laboratory scale test" and a modified version of ČSN EN ISO 20200 "Plastics - Determination of the degree of disintegration of plastic materials under simulated composting conditions in laboratory-scale test" (ISO 20200:2004). The emphasis was put on determination whether the bags are degradable/biodegradable or not.

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