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Effect of beef liver (BL) and beef heart (BH) combination and sodium alginate + encapsulated calcium lactate (ALGIN) inclusion on cooking loss, expressible moisture, water activity, and pH of raw pet food and dehydrated pet treats.
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Pet food and treat industries are rapidly growing and are important consumers of protein co-products from the human meat processing industry. Unfortunately, there are some co-products such as liver that can be difficult to handle due to the fact it liquifies when ground. This research attempts to address this issue through the use of...
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Context 1
... impact of BL:BH combination and ALGIN inclusion on the physicochemical characteristics of raw pet food and dehydrated pet treats is presented in Table 2. An interaction among BL:BH combination and ALGIN inclusion was observed for all variables, except pH and water activity of the raw pet food. ...Similar publications
Introduction: Human infection with Sarcocystis species can be attributed to the consumption of raw or inadequately cooked meat, such as hamburgers, containing encapsulated parasites. Materials and Methods: This cross-sectional study was conducted between April and September 2022 in Fouman, Iran. A total of 182 hamburger samples, comprising two type...
Citations
... In this case, color is the most important characteristic (Yam et al., 2017). These results may have an impact on the animal food sector and help engineers create more brandnew treats that meet consumer demand (Presume et al., 2022;Zhang et al., 2022). For instance, a recent study (Kępińska-Pacelik et al., 2023), demonstrated the potential use of insect products. ...
The global growth in canine population has led to a thriving market for pet food, especially treats sector. This review explores the growing market for canine treats, revealing a deep emotional connection between pet owners and their pets, evident in feeding practices. With six distinct categories of treats, meat-based treats dominate due to perceptions of naturalness and health, high-lighting an increased focus on dog nutrition and a preference for raw, locally sourced alternatives. However, labeling discrepancies and a lack of clear nutritional information present a challenge for owners looking for quality treats. Variations in nutritional values and sensory qualities of treats require informed choices to prevent excessive calorie consumption and potential health implications. Effective communication between the veterinarian and pet owners is crucial to adapting treats recommendations based on the individual needs of dogs, taking into account potential health risks and obesity. In conclusion, the use of treats provides several benefits such as positive reinforcement, promoting dental health and providing nutritional support for senior dogs. However, certain aspects that may limit their use should be considered, such as the risk of microbiological contamination, accidents related to incorrect administration, obesity and environmental impacts associated with treat production.
Individuals often ignore the state of hydration. Sustained dehydration can cause damage to the kidneys which could lead to kidney failure and death if it reaches the stage of severe dehydration. In addition, consumption of alcoholic beverages in an unnatural amount can damage the body. Blood tests and urine tests are usually used to check the level of alcohol in the body, but this method takes a long time, which is about two hours. This paper describes a prototype for detecting hydration status and alcohol contents through human urine which aims to make it easier to check hydration status and alcohol content in the body. The prototype was developed using LED, LDR sensor, and TGS 2620 sensor for detecting the color of urine sample and recognizing alcohol in the urine sample, and Arduino microcontroller as signal processor in order to display the hydration status and level of alcohol in the body via LCD display. Experimental results show the prototype can detect hydration and alcohol status through the urine sample in a relatively short time. The accuracy rate for hydration status is 99.87% and the accuracy level for liquid alcohol content is 99.59%.
