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Cao X, Zhao F, Lin Z, Sun X, Zeng X, Liu H, Li Y, Yuan Z, Su Y, Wang C, Zhou G. In vitro digestion mimicking conditions in adults and elderly reveals digestive characteristics of pork from different cooking ways. Food Res Int 2024; 183:114204. [PMID: 38760136 DOI: 10.1016/j.foodres.2024.114204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 05/19/2024]
Abstract
This study aimed to investigate the impact of three cooking ways (sous vide (SV), frying (FR) and roasting (RO)) on pork protein digestion characteristics under conditions simulating healthy adult (control, C) and elderly individuals with achlorhydria (EA). Changes in degree of hydrolysis (DH), SDS-PAGE profiles, zeta potential, particle size and secondary structure during digestion were evaluated. Our results revealed the EA condition markedly affected the protein digestion process of pork with different cooking ways. The DH values of SV (25.62%), FR (21.38%) and RO (19.40%) under the EA condition were significantly lower than those of under the control condition (38.32%, 33.00% and 30.86%, respectively). Moreover, differences were also observed among three cooking ways under the EA condition. For a given cooking way, the differences between control and EA conditions gradually diminished from the gastric to the intestinal phase. Under a certain digestion condition, SV maintained the highest degree of digestion throughout the process, particularly under the EA condition. Therefore, we conclude that pork cooked by sous vide is more recommendable for the elderly considering protein digestibility.
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Affiliation(s)
- Xiangyue Cao
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Fan Zhao
- School of Chinese Medicine, School of integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Ziyi Lin
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xiaomei Sun
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Xianming Zeng
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Haoxi Liu
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yutong Li
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Zihang Yuan
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Yuan Su
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
| | - Chong Wang
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China.
| | - Guanghong Zhou
- State Key Laboratory of Meat Quality Control and Cultured Meat Development, Key Laboratory of Meat Products Processing, Ministry of Agriculture, Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
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Datlow LY, Leventhal M, King J, Wallace TC. Consumption Patterns and the Nutritional Contribution of Total, Processed, Fresh, and Fresh-Lean Pork to the U.S. Diet. Nutrients 2023; 15:nu15112595. [PMID: 37299558 DOI: 10.3390/nu15112595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Pork has the potential to provide several macro and micronutrients to the diet, as it is a commonly consumed protein in the United States and across many cultures worldwide. There is an absence of clinical and observational studies that isolate the nutritional contribution of various types of pork intake from that of other red and/or processed meats. The objective of this study was to assess consumption patterns and the nutritional contribution of total, processed, fresh, and fresh-lean pork to the diets of participants aged 2+ years enrolled in the National Health and Nutrition Examination Survey (NHANES) 2007-2018 data cycles. The recent National Cancer Institute method was used to disaggregate fresh and processed pork intake from the USDA Food Patterns Equivalents Database. The mean intake of total pork among consumers was estimated to be 79.5 ± 0.82, 54.2 ± 0.69, 54.6 ± 0.93, and 45.9 ± 0.73, g/d for men, women, boys, and girls, respectively. Total pork consumption subtly increased intakes of total energy and several macro and micronutrients, decreased diet quality (HEI-2015) scores (adults only), and consumption of other "healthful" food groups. Only subtle but clinically insignificant effects of pork intake on biomarkers of nutritional status were shown. These trends were largely driven by processed pork consumption and the co-consumption of foods such as condiments. Increasing the availability and education around fresh-lean cuts may help to increase intake of protein and other key nutrients across certain subpopulations, without adversely affecting diet quality and biomarkers of health status.
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Affiliation(s)
| | | | - Jay King
- SAS Institute, Cary, NC 27513, USA
| | - Taylor C Wallace
- Think Healthy Group, LLC, Washington, DC 20001, USA
- Department of Nutrition and Food Studies, George Mason University, Fairfax, VA 22030, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
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Agarwal S, Fulgoni VL. Association of Pork (All Pork, Fresh Pork and Processed Pork) Consumption with Nutrient Intakes and Adequacy in US Children (Age 2-18 Years) and Adults (Age 19+ Years): NHANES 2011-2018 Analysis. Nutrients 2023; 15:nu15102293. [PMID: 37242176 DOI: 10.3390/nu15102293] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Pork is a rich source of high-quality protein and select nutrients. The objective of this work was to assess the intakes of all pork (AP), fresh pork (FP) and processed pork (PP) and their association with nutrient intake and meeting nutrient recommendations using 24 h dietary recall data. Usual intake was determined using the NCI method and the percentage of the population with intakes below the Estimated Average Requirement, or above the Adequate Intake for pork consumers and non-consumers, was estimated. About 52, 15 and 45% of children and 59, 20 and 49% of adults were consumers of AP, FP and PP, respectively, with mean intakes in consumers of 47, 60 and 38 g/day for children and 61, 77 and 48 g/day for adults, respectively. Among consumers of AP, FP and PP, the intakes of copper, potassium, selenium, sodium, zinc, thiamine, niacin, vitamin B6 and choline were higher (p < 0.05) and a higher (p < 0.05) proportion met nutrient recommendations for copper, potassium, zinc, thiamin and choline compared to non-consumers. There were additional differences (p < 0.05) in intakes and adequacies for other nutrients between consumers and non-consumers depending upon the age group and pork type. In conclusion, pork intake was associated with higher intakes and adequacies in children and adults for certain key nutrients.
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Ma L, Wang Y, Teng Y. Decision-Making Behaviour Evolution Among Pork Supply and Demand Subjects Under Normalisation of COVID-19 Prevention and Control: A Case Study in China. Front Public Health 2022; 10:784668. [PMID: 35372239 PMCID: PMC8968786 DOI: 10.3389/fpubh.2022.784668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 02/09/2022] [Indexed: 11/28/2022] Open
Abstract
Affected by the coronavirus disease 2019 (COVID-19), there were short-term uncertainties in China's live pig industry supply chain. Due to the insufficient supply of pork, the price of pork rose from 33.21 yuan/kg at the end of 2019 to 37.46 yuan/kg in mid-February and fell to 26.41 yuan/kg in mid-May. To restore pig supply and stabilise prices, China issued relevant policies. Given the current effective control of COVID-19 in China, this paper constructed an evolutionary game model of China's pork supply and demand stakeholders under normalisation of COVID-19 prevention and control, analysed the behavioural strategies of consumers, government, and pig farmers, used MATLAB software for data simulation, and expounded on the evolution path and the characteristic rule of tripartite decision-making behaviours. The results showed that government supervision costs, evaluation of government by consumers and pig farmers, government subsidies to pig farmers and consumers, and the proportion of stakeholder behaviours affected the formation of tripartite relationships. The results provide a useful reference for the government to formulate effective policies, increase pig supply, and stabilise pork prices.
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Affiliation(s)
- Li Ma
- College of Engineering, Northeast Agricultural University, Harbin, China
| | - Yidi Wang
- College of Engineering, Northeast Agricultural University, Harbin, China
| | - Yun Teng
- College of Engineering, Northeast Agricultural University, Harbin, China
- Postdoctoral Research Station of Agriculture and Forestry Economics and Management, Northeast Agricultural University, Harbin, China
- *Correspondence: Yun Teng
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