ReviewFood science of animal resources2022
Post-Harvest Strategies to Improve Tenderness of Underutilized Mature Beef: A Review.
Review in Food science of animal resources, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Imitation of Hybrid Cultured Meat Patty and Compare the Quality Characteristics with Beef Patty and Plant-Based Patty.Food science of animal resources · 2025Article
- Comparison of Muscle Fiber and Meat Quality Characteristics of Beef Strip Loin, Tenderloin, and Round Cuts among Jeju Black Cattle, Hanwoo, and Their Crossbreeds.Food science of animal resources · 2024Article
- Quality Characteristics and Storage Stability of Frying Steak Utilizing Wax-Based Korean Pine Seed Oil.Foods (Basel, Switzerland) · 2024Article
- Comparative review of muscle fiber characteristics between porcine skeletal muscles.Journal of animal science and technology · 2024Review
- Aging mechanism for improving the tenderness and taste characteristics of meat.Journal of animal science and technology · 2023Review
- Study on the current research trends and future agenda in animal products: an Asian perspective.Journal of animal science and technology · 2023Review
- Methods for improving meat protein digestibility in older adults.Journal of animal science and technology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beef muscles from mature cows and bulls, especially those originating from the extremities of the carcass, are considered as underutilized due to unsatisfactory palatability. However, beef from culled animals comprises a substantial proportion of the total slaughter in the US and globally. Modern consumers typically favor cuts suitable for fast, dry-heat cookery, thereby creating challenges for the industry to market inherently tough muscles. In general, cull cow beef would be categorized as having a lower extent of postmortem proteolysis compared to youthful carcasses, coupled with a high amount of background toughness. The extent of cross-linking and resulting insolubility of intramuscular connective tissues typically serves as the limiting factor for tenderness development of mature beef. Thus, numerous post-harvest strategies have been developed to improve the quality and palatability attributes, often aimed at overcoming deficiencies in tenderness through enhancing the degradation of myofibrillar and stromal proteins or physically disrupting the tissue structure. The aim of this review is to highlight existing and recent innovations in the field that have been demonstrated as effective to enhance the tenderness and palatability traits of mature beef during the chilling and postmortem aging processes, as well as the use of physical interventions and enhancement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.