• Journal of Animal Science and Technology
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• v.66 no.2
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• pp.251-265
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• 2024

Meat derived from skeletal muscles of animals is a highly nutritious type of food, and different meat types differ in nutritional, sensory, and quality properties. This study was conducted to compare the results of previous studies on the muscle fiber characteristics of major porcine skeletal muscles to the end of providing basic data for understanding differences in physicochemical and nutritional properties between different porcine muscle types (or meat cuts). Specifically, the muscle fiber characteristics between 19 major porcine skeletal muscles were compared. The muscle fibers that constitute porcine skeletal muscle can be classified into several types based on their contractile and metabolic characteristics. In addition, the muscle fiber characteristics, including size, composition, and density, of each muscle type were investigated and a technology based on these muscle fiber characteristics for improving meat quality or preventing quality deterioration was briefly discussed. This comparative review revealed that differences in muscle fiber characteristics are primarily responsible for the differences in quality between pork cuts (muscle types) and also suggested that data on muscle fiber characteristics can be used to develop optimal meat storage and packaging technologies for each meat cut (or muscle type).

• Food Science of Animal Resources
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• v.39 no.2
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• pp.332-344
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• 2019

The objective of this study was to investigate slaughtering performance, carcass grade, and quantitative traits of cuts according to seasonal influence by each month in pigs slaughtered in livestock processing complex (LPC) slaughterhouse in Korea, 2017. A total of 267,990 LYD ($Landrace{\times}Yorkshire{\times}Duroc$) pig data were used in this study. Results of slaughter heads, sex distribution, carcass weight, backfat thickness, grading class, total weight, and fat and lean meat percentages of each cut predicted by AutoFom III were obtained each month. The number of slaughtered pigs was the highest in early and late fall but the lowest in midsummer. Only in midsummer that the number of females was higher than that of castrates. During 2017, carcass weight was the lowest in late summer. Backfat thickness was in the range of 21-22 mm. In mid and late spring, pigs showed high 1+ grade ratio (37.05% and 36.15%, respectively). For traits of 11 cuts predicted by AutoFom III, porkbelly showed lower total weight, lean weight, and fat weight in midsummer to early fall but higher lean meat percentage compared to other seasons. Weights of deboned neck, loin, and lean meat were the highest in midfall compared to other seasons (p<0.05). In conclusion, characteristics of slaughtering, grading, and economic traits of pigs seemed to be highly seasonal. They were influenced by seasons. Results of this study could be used as basic data to develop seasonal specified management ways to improve pork production.

• Food Science of Animal Resources
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• v.29 no.6
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• pp.695-701
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• 2009

This study was performed to evaluate the effectiveness of biological critical control points using the genetic profile of Escherichia coli isolates from pork cutting plants. Samples were collected from carcasses, equipment (knife, table, glove, transport belt, boning and skinning machine), the environment (wall and floor), and meat cuts during the cutting process from two plants. Pulsed-field gel electrophoresis (PFGE) was used to characterize the E. coli isolates. An identical genotype was detected from the carcasses, equipment, environment, and final meat cuts, and showed that the incoming carcasses, which were contaminated during transportation from slaughterhouses, were a major source of E. coli that was spread throughout processing. Also, consistent cross-contamination due to improper cleaning and disinfection procedures was another possibility. As a result, incoming carcasses and cleaning procedures should be considered critical control points in pork cutting plants, since a heating step is not used to inactivate microorganisms. Furthermore, the high rate (59.6%) of E. coli isolation indicates E. coli can be a good indicator in livestock processing plants even though it has genetic diversity.

• Food Science of Animal Resources
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• v.30 no.3
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• pp.427-434
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• 2010

This study was conducted to investigate the changes in haem pigments, peroxide value, TBARS, free fatty acid contents and fatty acid composition of five muscles from low fat pork cuts during storage at $4^{\circ}C$ for 14 d. The myoglobin contents (Oxy, Met and Total) did not change significantly (p>0.05) as storage time increased. In addition, the peroxide value did not change significantly (p>0.05), but the thiobarbituric acid reactive substances were significantly (p<0.05) upregulated during chilled storage. The total free fatty acid contents of the longissimus dorsi muscle were significantly (p<0.05) upregulated, but the saturated, unsaturated, mono-unsaturated and poly-unsaturated fatty acid composition of the muscles did not change significantly (p>0.05) during chilled storage.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.10
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• pp.1670-1676
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• 2018

Objective: This study was conducted to enable on-line prediction of primal and commercial cut weights in Korean slaughter pigs by AutoFom III, which non-invasively scans pig carcasses early after slaughter using ultrasonic sensors. Methods: A total of 162 Landrace, Yorkshire, and Duroc (LYD) pigs and 154 LYD pigs representing the yearly Korean slaughter distribution were included in the calibration and validation dataset, respectively. Partial least squares (PLS) models were developed for prediction of the weight of deboned shoulder blade, shoulder picnic, belly, loin, and ham. In addition, AutoFom III's ability to predict the weight of the commercial cuts of spare rib, jowl, false lean, back rib, diaphragm, and tenderloin was investigated. Each cut was manually prepared by local butchers and then recorded. Results: The cross-validated prediction accuracy ($R^2cv$) of the calibration models for deboned shoulder blade, shoulder picnic, loin, belly, and ham ranged from 0.77 to 0.86. The $R^2cv$ for tenderloin, spare rib, diaphragm, false lean, jowl, and back rib ranged from 0.34 to 0.62. Because the $R^2cv$ of the latter commercial cuts were less than 0.65, AutoFom III was less accurate for the prediction of those cuts. The root mean squares error of cross validation calibration (RMSECV) model was comparable to the root mean squares error of prediction (RMSEP), although the RMSECV was numerically higher than RMSEP for the deboned shoulder blade and belly. Conclusion: AutoFom III predicts the weight of deboned shoulder blade, shoulder picnic, loin, belly, and ham with high accuracy, and is a suitable process analytical tool for sorting pork primals in Korea. However, AutoFom III's prediction of smaller commercial Korean cuts is less accurate, which may be attributed to the lack of anatomical reference points and the lack of a good correlation between the scanned area of the carcass and those traits.

• Journal of the Korean Home Economics Association
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• v.18 no.1
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• pp.35-40
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• 1980

This study was designed to find out the mineral content in Korean foods. The data will be used as a fundamental guide in planning sodium and potassium restricted diet in Korea. The study is part 6 sodium and potassium content in meat, eggs and fish. The previous study is s follows: part1 and part 5 on vegetables and fruit, part 2 on cereals, part 3, on milk and soft drinks and part 4 on orange juice and nectars. part 6 includes 10 beef cuts, 5 retail items of pork, 4 parts of chicken, 2 kinds of eggs and 15 individual kinds of fish were collected from the market and analyzed for the content of sodium and potassium by atomic absorption spectrophotometry. The following tables 1-5 show the result.

• Journal of Life Science
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• v.23 no.12
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• pp.1477-1485
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• 2013

The aim of this study was to evaluate changes in the meat quality and natural di-peptide (carnosine and anserine) content in the loin and ham cuts of female, Korean Native Black Pigs (KNBP) during cold storage for 10 days. The pH value of the loin and the ham cuts increased with an increase in the number of storage days. The lightness ($L^*$) of the loin cuts did not show any significant difference; however, the lightness of the ham cuts was decreased at storage day 10 (p<0.05). The redness ($a^*$) of the ham was higher than the redness of the loin (p<0.05) during the entire 10-days of storage. The water holding capacity of the loin was decreased from 78.5% to 67.9% during storage (p<0.05). The total number of microorganisms and coliforms was increased in both the loin and the ham during storage, and the initial total microbial contamination was higher in the ham cut (5.16 log CFU/g) than it was in the loin cut (4.87 log CFU/g). The carnosine content of the loin and the ham was in the range of 1.12-1.35 mg/ml and no significant difference was found between those two pork cuts. The anserine content of the ham cut was higher than it was in the loin cut until storage day 3. The ratio of carnosine and anserine increased with an increase in the number of storage days and it ranged from 27.6-59.7 for the loin cut and from 20.1-51.2 for the ham cut. The 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity of the loin and the ham cuts significantly decreased as the number of storage days increased. For both types of KNBP cuts, lipid oxidation and volatile basic nitrogen significantly increased after storage day 5. These results found that natural antioxidants carnosine and anserine decreased as the number of storage days increased, and anserine decreased more rapidly than carnosine (p<0.05).

• ANNALS OF ANIMAL RESOURCE SCIENCES
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• v.30 no.4
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• pp.165-171
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• 2019

The objective of this study was to investigate the effects of gender on meat quality traits and sensory characteristics of pork loin. A total of 90 pork carcasses (180 days old, 45 barrows and 45 gilts, each gender group was consisted of fifteen 1+, 1 and 2 carcass grades) were selected and loin cuts were excised to investigate meat quality, electronic tongue measures and sensory panel test. There were significant differences in drip loss (1.66% vs 1.21%), released water (12.19% vs 10.68%) and cooking loss (23.67% vs 21.04%) between loins from barrow and gilt (p<0.05). However, no significant differences in meat color (CIE L^* a^* b^*) and shear force were observed between gender groups (p>0.05). Umami and richness values of barrow were significantly higher than those of gilt, while barrow had significantly lower sourness value compared to gilt(p<0.05). On the sensory evaluation, barrow scored higher in flavor, juiciness and tenderness both, and as a result, barrow (5.51 points) also scored significantly higher than gilt (4.86 points). These results suggest that the umami intensity and sensory taste of barrow loin are superior to gilt loin due to its high water-holding capacity.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.4
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• pp.487-495
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• 2013

The vacuum packaged ham and loin from low-fat pork cuts were frozen at $-20^{\circ}C$ for 3 months and thawed. Then, the thawed meat was chilled at $3^{\circ}C$, and impacts of chilling period on changes in physical properties of raw meat and cooked meat were investigated. In the case of raw meat, the pH value, $L^*$ value, drip losses, water holding capacity and gumminess of ham increased significantly on the 4th day compared with the 0th day of chilling after thawing. However the cooking losses, hardness and chewiness decreased significantly. The loin showed a similar tendency on the 2nd day of chilling after thawing. In the case of cooked meat, changes in physical properties during chilling period after thawing showed a similar tendency as raw meat, but pH value, $L^*$ value and $a^*$ value did not show significant difference. The springiness and cohesiveness of both raw meat and cooked meat did not show significant difference during chilling period after thawing. The sensory tenderness of ham and loin improved significantly on the 4th day and 2nd day during chilling after thawing, respectively.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1245-1245
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.