0:00:00.000,0:00:08.099 The topic of today's lecture is Contemporary development of processing of raw materials of animal origin 0:00:08.099,0:00:12.098 with emphasis on meat quality evaluation. 0:00:12.098,0:00:19.963 The lecture is part of Module 4: Precision Livestock Farming, that is a part of the ISAGREED project. 0:00:19.963,0:00:26.962 This presentation was supported by Erasmus+ KA2 Cooperation Partnerships Grant 0:00:26.962,0:00:32.294 "Innovation of the content and structure of study programmes in the field of management 0:00:32.294,0:00:36.393 of animal genetic and food resources using digitalization". 0:00:38.393,0:00:47.158 As part of the lecture, we will first clarify what we mean by the term raw material and list raw materials of animal origin. 0:00:47.158,0:00:52.590 We will talk in more detail about one of them, namely meat. 0:00:52.590,0:01:00.589 We will list the attributes of meat quality and what factors influence meat quality. 0:01:00.589,0:01:04.588 Next, we will move on to carcass evaluation 0:01:04.588,0:01:10.587 and the possibilities of evaluating meat quality using selected techniques. 0:01:11.586,0:01:16.585 Under the term raw material, we generally include any material of natural origin. 0:01:16.585,0:01:21.584 These raw materials can be obtained from animals or from plants, 0:01:21.584,0:01:30.916 or they can also be material of "non-living" origin, such as various minerals, metals, oil or coal. 0:01:31.916,0:01:39.914 Raw materials of animal origin include any material originating from or produced by animals. 0:01:39.914,0:01:46.080 It can serve directly for human nutrition, such as meat, milk, honey or eggs, 0:01:46.080,0:01:56.744 possibly for further processing and use, e.g. in the textile industry, such as wool, leather, feathers or silk. 0:01:57.744,0:02:05.809 Next, we will focus more on one of the essential products of animal origin: meat. 0:02:05.809,0:02:11.475 Meat is important in human nutrition, mainly because it is one of the main protein sources. 0:02:11.475,0:02:17.473 From the graph on the right, it can be seen that since 1960, 0:02:17.473,0:02:21.473 the global production of meat has been continuously increasing; 0:02:21.473,0:02:27.471 while in 1960, it was approximately 75 million tons per year, 0:02:27.471,0:02:34.170 today the production is many times higher and is approximately 350 million tons per year. 0:02:34.170,0:02:42.168 This rise is related to the increase in the global population but also to the improvement 0:02:42.168,0:02:45.734 of the economic situation in certain regions, 0:02:45.734,0:02:53.433 where people can afford to consume meat in larger quantities than in the past. 0:02:53.433,0:03:01.431 The improvement of the economic situation is also related to the fact, confirmed by various research, 0:03:01.431,0:03:08.430 that meat quality is the main criterion influencing consumer decisions on the market. 0:03:09.430,0:03:12.996 Meat quality is a relatively broad term. 0:03:12.996,0:03:17.595 Meat quality attributes can be divided into several categories, 0:03:17.595,0:03:26.093 including Nutritional parameters (as protein and fat content, fatty acid profile and mineral content), 0:03:26.093,0:03:36.524 sensory parameters (as texture, colour, juiciness, aroma or odour, taste and marbling), 0:03:36.524,0:03:44.023 safety parameters (as microbiological status, drug residues and heavy metal content), 0:03:44.023,0:03:54.454 technological parameters which are related to meat processing (as shear force, pH values, drip loss, fat content and water content) 0:03:54.454,0:04:01.020 and last but not least ethical aspects as sustainibility and animal welfare. 0:04:02.019,0:04:09.018 Related to this is the fact that there are really many factors, whether internal or external, 0:04:09.018,0:04:12.517 that can affect the quality of meat in some way. 0:04:12.517,0:04:21.782 Among the internal factors we can include the genetics of the animals, which is also related to their breed affiliation, 0:04:21.782,0:04:29.781 slaughter weight and status of animal which includes its age, condition and health. 0:04:29.781,0:04:37.312 There are many important external factors, as nutrition, lairage condition, climate, 0:04:37.312,0:04:45.077 animal handling, social environment, transport, pre-slaughter handling, slaughter procedure, 0:04:45.077,0:04:51.210 post-slaughter handling (e. g. ageing time) and finally culinary aspects. 0:04:51.210,0:04:58.108 One of the important parameters of meat performance evaluation is dressing percentage 0:04:58.108,0:05:05.640 which represents the percentage of a carcass weight of an animal relative to its live weight. 0:05:05.640,0:05:13.638 The shape of the carcass body depends on the technological processing and is specific depending on the species. 0:05:13.638,0:05:20.171 Average values of dressing percentage for selected categories are given in the table. 0:05:20.171,0:05:25.436 In cattle dressing percentage ranges between 50 – 60 %, 0:05:25.436,0:05:36.867 in pigs it is bit higher (between 65 – 80 %), in small ruminants on the contrary lower (about 50 %). 0:05:36.867,0:05:44.632 The highest values of dressing percentage are achieved in poultry, especially in turkey meat broilers, 0:05:44.632,0:05:48.132 where we reach values up to 85 %. 0:05:48.132,0:05:54.864 Relatively large ranges even within individual species are related to the fact 0:05:54.864,0:06:00.862 that dressing percentage always depends on the nutritional status of the slaughtered animal. 0:06:01.862,0:06:05.328 The SEUROP system is used in the European Union 0:06:05.328,0:06:11.794 to assess the quality of slaughtered animal carcasses and their subsequent monetization. 0:06:11.794,0:06:17.126 The name is derived from the designation of individual quality classes. 0:06:17.126,0:06:23.125 In the case of pigs, we distinguish a total of 6 classes according to lean meat content, 0:06:23.125,0:06:30.423 while class S is the best and includes pieces with a lean meat content at least 60 %; 0:06:30.423,0:06:39.422 on the other hand, if the carcass contains less than 40 % of lean meat, it is assigned to the worst class P. 0:06:40.421,0:06:50.419 In cattle, in addition to 6 classes according to muscle development, denoted by the letters S, E, U, R, O, P, 0:06:50.419,0:06:54.752 there are also five qualitative classes according to the fat cover, 0:06:54.752,0:07:00.751 where 1 is the best class with the minor proportion of subcutaneous fat, 0:07:00.751,0:07:09.149 and class 5, on the contrary, represents the highest fatness, which is currently undesirable, 0:07:09.149,0:07:13.981 as we do not have the same use for animal fat as it was in the past, 0:07:13.981,0:07:19.180 when animal fat was processed, e.g. for the production of soaps. 0:07:19.180,0:07:25.846 Here are presented several methods used nowadays for assessment of fat and muscle content. 0:07:25.846,0:07:33.844 It is for example „fat o meter“, Henessy grading probe or computed tomography, but which is quite expensive. 0:07:33.844,0:07:39.410 The advantage is that it is possible to evaluate living animals. 0:07:39.410,0:07:45.109 On the processed carcass body, we distinguish parts of different values. 0:07:45.109,0:07:55.706 In general, the most valuable parts include the muscles located along the back of the animal and in its hind parts. 0:07:55.706,0:08:03.038 Depending on their characteristics, the individual parts are then suitable for various culinary treatments, 0:08:03.038,0:08:08.437 especially the length of the heat treatment – cooking or baking – needs to be adjusted. 0:08:09.437,0:08:15.436 The so-called marbling, which is determined by the content of intermuscular fat, 0:08:15.436,0:08:20.102 is very important for the taste and culinary properties of meat. 0:08:20.102,0:08:26.700 Marbling positively affects the texture, juiciness, aroma and taste of the meat. 0:08:26.700,0:08:35.099 Different scales are used to rate marbling; in general, the higher the degree of marbling, the higher the price of the meat. 0:08:35.099,0:08:42.497 The Japanese breed WAGYU is especially characterized by pronounced marbling. 0:08:42.497,0:08:51.362 In certain cases, the quality of the meat can be negatively affected by so-called technological defects. 0:08:51.362,0:08:56.161 The most common are known as DFD and PSE. 0:08:56.161,0:09:06.992 DFD means dark, firm and dry meat. It predominantly occurs in beef and lamb, sometimes also in pigs. 0:09:06.992,0:09:16.457 It is connected with long-term pre-slaughter stress (e.g. transport exhaustion) and depleted level of glycogen. 0:09:16.457,0:09:22.856 DFD meat is characterized by high pH value and water holding capacity, 0:09:22.856,0:09:29.855 dark purple red colour, bland taste and smell undesirable for customers. 0:09:29.855,0:09:37.386 It has reduced shelf life and a greater ability to support microbial growth, 0:09:37.386,0:09:41.119 resulting in reduced storability. 0:09:41.119,0:09:47.118 On the contrary PSE meat is pale, soft and exudative. 0:09:47.118,0:09:55.816 This deffect predominantly occurs in pigs and poultry and it is usually connected with accute pre-slaughter stress. 0:09:55.816,0:10:06.981 A mutation in the ryanodine receptor (RYR1) in pigs (esp. pietrain, landrace breed), 0:10:06.981,0:10:16.245 which confers sensitivity to halothane and succinylcholine, has been identified as a major cause of PSE. 0:10:16.245,0:10:21.411 The typical characteristics of PSE meat are low pH value 0:10:21.411,0:10:32.709 shortly after slaughtering and a high temperature within muscles (above 37 °C) which leads to reduced proteolysis 0:10:32.709,0:10:40.174 and undesirable characteristics as pale colour and unability to hold its own tissue water. 0:10:42.174,0:10:47.173 There are many parameters assessed in meat quality evaluation, 0:10:47.173,0:10:56.171 including sensory attributes as colour, flavor and smell; physical attributes as water holding capacity, 0:10:56.171,0:10:59.670 intramuscular fat content (so called marbling) 0:10:59.670,0:11:06.969 and Warner-Bratzler shear force results as characteristic of meat tenderness); 0:11:07.102,0:11:15.867 microbiological characteristics as total viable content and bacterial contamination and chemical attributes 0:11:15.867,0:11:24.465 which characterize composition and nutritional content of meat as protein content, moisture and pH. 0:11:25.465,0:11:32.664 Meat quality assessment methods can generally be divided into objective and subjective ones. 0:11:32.664,0:11:37.496 Each of these groups has its advantages and disadvantages. 0:11:37.496,0:11:48.360 The advantage of objective methods, which include various laboratory tests is especially the accuracy of results, 0:11:48.360,0:11:53.693 on the contrary these methods are often cumbersome, time-consuming and expensive 0:11:53.693,0:11:56.459 (especially because special equipment is needed). 0:11:56.459,0:12:03.757 For sensory evaluation, which represents subjective methods, no special equipment is needed, 0:12:03.757,0:12:09.490 but results often depend on the experience of evaluators; 0:12:09.490,0:12:18.721 these methods have poor reliability and are difficult to quantify, which can be considered as their disadvantages. 0:12:18.721,0:12:26.053 The main techniques used nowadays for the evaluation of meat quality are spectroscopic techniques 0:12:26.053,0:12:33.052 ( for example Near-Infared Spectroscopy, Raman Spectroscopy and Terahertz Spectroscopy), 0:12:33.052,0:12:40.783 Imaging Techniques (as Hyperspectral Imaging, X-ray imaging and Thermal Imaging), 0:12:40.783,0:12:50.382 Machine vision as camera shot, ultrasound imaging, nuclear magnetic resonance, computed tomography 0:12:50.382,0:12:57.680 and electronic nose based on electrochemical or piezoelectric senzors. 0:12:57.680,0:13:03.946 Electronic nose is a technique that simulates the human olfactory system. 0:13:03.946,0:13:11.144 It is a promising technique for meat freshness detection, shows high potential in quality control. 0:13:11.144,0:13:19.009 This technique provides efficient, rapid, non-destructive, real-time, and environmentally friendly testing. 0:13:19.009,0:13:28.607 Can distinguish among microbiological, chemical, and physical contaminants in food without any sample preparation. 0:13:28.607,0:13:35.273 It is inexpensive, simple to use method with good reproducibility and repeatability. 0:13:36.272,0:13:44.271 Computer vision collects and analyzes spatial information gained from digital images of samples, 0:13:44.271,0:13:47.737 such as color, size, and surface structure. 0:13:47.737,0:13:57.168 Data analysis is composed of two main parts: image processing and image analysis. 0:13:59.168,0:14:04.534 Spectroscopy is considered one of the most promising nondestructive techniques. 0:14:04.534,0:14:10.699 It can be used for monitoring and detecting meat quality and microbial contaminations 0:14:10.699,0:14:18.697 (e.g. shear force, total viable content, intramuscular fat, total volatile basic nitrogen, 0:14:18.697,0:14:23.696 and thiobarbituric acid-reactive substances in beef; 0:14:23.696,0:14:32.361 total viable content and total volatile basic nitrogen in pork; and drip loss, moisture and water activity). 0:14:33.361,0:14:41.360 At this moment I would like to thank you for your attention. If you have any questions, you can use the e-mail listed here.