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Record W3035465379 · doi:10.6000/1927-520x.2020.09.10

Incorporation of Food Materials as a Source of Dietary Fibres and Natural Antioxidants in Meat Products and their Effect on Product Quality and Human Health: A Mini Review

2020· review· en· W3035465379 on OpenAlexvenueno aff
Abdul Haque, Saghir Ahmad, Irfan Khan

Bibliographic record

VenueJournal of Buffalo Science · 2020
Typereview
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
FundersAligarh Muslim University
KeywordsFood scienceQuality (philosophy)Human healthProduct (mathematics)Natural foodFood productsHealth foodBusinessHealth benefitsFood qualityNatural (archaeology)Dietary supplementBiotechnologyChemistryBiologyEnvironmental healthMedicineTraditional medicineMathematics

Abstract

fetched live from OpenAlex

Meat and meat products share an important status among the various food products because of their high biological value with the goodness of nutritional compounds. Meat is a perfect source of protein along with minerals, vitamins, amino acids, essential fatty acids and many other specific nutrients. Socio-economic factors have to lead to a change in lifestyle, which in turn has increased the demand for ready to eat products, among which meat products are also rapidly gaining attraction of consumers. Although these meat products have good nutritional value, they generally contain a large amount of fat and added salts but are lack of dietary fibre which leads to various health problems in human consuming meat and meat products. Lack of dietary fibre in meat products gives birth to coronary heart diseases, diabetes, high blood pressure and intestinal cancer etc. Consumers are growing their consciousness towards the health aspect without compromising on nutritional benefits. Therefore, meat products fortified with significant levels of dietary fibre has been suggested. 28-36 g/day dietary fibre is recommended and which can be met by their incorporation in the diet of people consuming meat and meat products. The insoluble part of dietary fibre helps in regulation of intestinal function whereas soluble dietary fibre regarded as helpful in lowering cholesterol level by absorbing glucose in the intestine. Another critical problem concerning meat and meat products is the lipid oxidation which reduces the shelf life of product during storage. Natural antioxidants are suggested for retarding lipid oxidation and ultimately enhancing the shelf life of the product under storage. Synthetic antioxidants are losing publicity because they have revealed several toxicological effects during various studies. Thus there is a growing trend of use of natural antioxidants along with the dietary fibre obtained from plant sources in meat and meat products. Various food wastes such as fruit and vegetable by-products from food processing industries can serve the purpose of dietary fibre as well as natural antioxidants because of the polyphenolic compounds present in them. Generally, these by-products from fruit and vegetable processing industries are cheap, and their utilisation develops indirect income generation. The utilisation of vegetable and fruit wastes as a source of dietary fibre and natural antioxidants also reduces pollution to some extent which might be caused by their disposal. Thus along with waste reduction, cost reduction in economic terms, it also helps the environment by decreasing the load of their disposal. The incorporation of these by-products from various plant sources attracts consumers as they improve quality attributes viz. physicochemical, microbiological and organoleptic properties in meat and its products with health benefits and hence gives satisfaction to the consumers regarding their health consciousness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.797
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.094
GPT teacher head0.377
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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