Evidence map›Paper›PMID 38665568›Full record

ArticleHeliyon2024

Fabrication of textured functional ingredient based on apple: Sesame by-product.

Elnaz Milani, Neda Hashemi, Asieh Ghiafehshirzadi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elnaz MilaniDepartment of Food processing, Iranian Academic Center for Education Culture and Research (ACECR), Khorasan Razavi province, Mashhad, Iran.
Neda HashemiUniversity of Applied Science & Technology, Center of Pardisan Hospitality & Tourism Management, Mashhad, Iran.
Asieh GhiafehshirzadiDepartment of Food processing, Iranian Academic Center for Education Culture and Research (ACECR), Khorasan Razavi province, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for new sources of fortified components from low-cost and sustainable sources has become a trend in the last decade. Food byproducts containing valuable bioactive compounds such as dietary fiber, protein, and phytochemicals are being used as substrates for obtaining beneficial components that can promote health. Extrusion is an efficient technology for converting food by-products into nutrient-rich food ingredients. The objective of this work was to optimize the extrusion process to obtain the best combination of moisture content (14, 18 and 22%) and screw speed (SS) (120,150 and180 rpm), apple pomace (AP): semi-defatted sesame cake (SDSC) blends (25:75, 50:50 and 75:25 w/w) to fabricate textured functional ingredients (TFI) with high values of expansion ratio (ER), water absorption index (WAI), brightness level, total phenolic compounds (TPC) and antioxidant activity (AA) and lower hardness based on a central composite design. The optimal treatment was determined at 176 rpm SS, 18% moisture content and a ratio of (75:25) AP: SDSC. The desirability value has indicated an appropriate match between the predicted and the observed response. TFI exhibited higher soluble dietary fiber fraction (WAI) values and lower plate count values during 30 days of storage compared to the unprocessed by-product, suggesting that TFI could be successfully used for the manufacture of innovative, high quality products such as porridge, beverages, cookies, soups and others that could provide health benefits based on the values obtained.

Indexed as

Apple pomaceDietary fiberExtrusionFood by-productsSesame oil cake

Identifiers

PMID38665568
PMCPMC11043853

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.