Evidence map›Paper›PMID 38882090›Full record

ArticleACS omega2024

Artificial Intelligence-Powered Optimization and Milk Permeate Upcycling for Innovative Sesame Milk with Enhanced Probiotic Viability and Sensory Appeal.

Ibrahim A A Abou Ayana, Mohamed R Elgarhy, Fatimah O Al-Otibi, Mohamed M Omar, Mohamed Z El-Abbassy, Salah A Khalifa, Yosra A Helmy, WesamEldin I A Saber

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Ibrahim A A Abou AyanaDairy Research Department, Food Technology Research Institute (FTRI), Agricultural Research Center, Giza 12619, Egypt.
Mohamed R ElgarhyDairy Research Department, Food Technology Research Institute (FTRI), Agricultural Research Center, Giza 12619, Egypt.
Fatimah O Al-OtibiBotany and Microbiology Department, Faculty of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Mohamed M OmarFood Science Department, Faculty of Agriculture, Zagazig University, Al-Sharqia Governorate 44511, Egypt.
Mohamed Z El-AbbassyFood Science Department, Faculty of Agriculture, Zagazig University, Al-Sharqia Governorate 44511, Egypt.
Salah A KhalifaFood Science Department, Faculty of Agriculture, Zagazig University, Al-Sharqia Governorate 44511, Egypt.
Yosra A HelmyDepartment of Veterinary Science, Martin-Gatton College of Agriculture, Food, and Environment, University of Kentucky, Lexington, Kentucky 40546, United States.
WesamEldin I A SaberMicrobial Activity Unit, Microbiology Department, Soils, Water and Environment Research Institute, Agricultural Research Center, Giza 12619, Egypt.ORCID https://orcid.org/0000-0003-0631-4089

Funding

Institutional Career Development CoreKL2TR001996 · NCATS · UNIVERSITY OF KENTUCKY · PI BUSH, MATTHEW LEE, KELLY, THOMAS H. · 2016 to 2025
$7.1M
NCATS NIH HHS KL2 TR001996
6 · The paper itself

Abstract

Consumer demand for plant-based alternatives drives innovation in nondairy beverages. This study explores the development of a novel sesame milk with enhanced functionality using an artificial neural network (ANN) and milk permeate integration. An ANN model effectively optimized water-based sesame milk (WSM) extraction, maximizing total solids (T.S.) recovery. The ANN model's predicted T.S. yield (99.65%) closely matched the actual value (95.18%), demonstrating its potential for optimizing high-yield production. Furthermore, milk permeate was incorporated (5:1 ratio) to create permeate-based sesame milk (PSM), which supported the growth of lactic acid bacteria, suggesting its potential as a growth medium for future probiotic applications. PSM also displayed superior nutritional value and sensory characteristics compared to WSM. These findings highlight the promise of ANN-powered optimization and milk permeate integration for creating innovative sesame milk alternatives with enhanced probiotic viability and sensory appeal. Future research should focus on ANN optimization of alternative-based-plant milk, including permeate-based sesame milk production, the health benefits of LAB fermentation, and consumer preferences for flavors and textures. Optimizing fermentation and LAB selection remain key for commercial success.

Identifiers

PMID38882090
PMCPMC11170702

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.