Evidence mapPaperPMID 40905019Full record

ReviewFood science & nutrition2025

Smartphones as Catalysts for Synergistic Nutrition: A New Era in Bioactive Detection, Personalization, and Food System Intelligence.

Mohamed Ibrahim Younis, Yahia Ibrahim Sallam, Khaled Fahmy Mahmoud, Zheng Ruan, Rawaa H Tlay, Tarek Gamal Abedelmaksoud

Abstract readReview
In one paragraph

Review in Food science & nutrition, 2025. 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. Review
  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

6 authors.

Mohamed Ibrahim YounisFood Science Department Faculty of Agriculture, Cairo University Giza Egypt.
Yahia Ibrahim SallamFood Science Department Faculty of Agriculture, Cairo University Giza Egypt.
Khaled Fahmy MahmoudFood Technology Department National Research Center Giza Egypt.ORCID https://orcid.org/0000-0001-7684-1605
Zheng RuanState Key Laboratory of Food Science and Resources, Institute of Nutrition and School of Food Science Nanchang University Nanchang China.
Rawaa H TlayDepartment of Food Science Faculty of Agriculture Engineering, Damascus University Damascus Syria.ORCID https://orcid.org/0000-0002-8140-0473
Tarek Gamal AbedelmaksoudFood Science Department Faculty of Agriculture, Cairo University Giza Egypt.ORCID https://orcid.org/0000-0002-7012-6667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naturally occurring bioactive compounds such as polyphenols, flavonoids, and vitamins play critical roles in human health and sustainable food systems. Yet their widespread utilization is constrained by complex detection methods and limited accessibility. This review explores how smartphones are emerging as transformative platforms for real-time analysis, enhanced synergy discovery, and personalized nutrition. By integrating spectroscopy, imaging, electrochemical sensing, microfluidics, and AI, smartphones now enable field-grade assays that rival laboratory precision at a fraction of the cost. Their deployment across agriculture, food processing, and consumer health is examined, with a focus on how smartphone-based tools can be used to quantify synergistic interactions between bioactives, optimize nutrient retention, and deliver data-driven dietary guidance. Coupled with machine learning, these devices can identify optimal compound pairings and adapt recommendations to individual physiology and environmental conditions. Limitations related to sensor calibration, data standards, and regulatory readiness are also highlighted. Finally, a roadmap for advancing smartphone-enabled nutrition science through standardization, accessibility, and responsible innovation is presented. As smartphones evolve from passive sensors into intelligent, connected analyzers, they hold unprecedented potential to reshape food quality monitoring, democratize nutrition, and accelerate the global transition toward more resilient and health-focused food systems.

Indexed as

artificial intelligence in nutritionbioactive compoundsmobile spectroscopypersonalized dietary assessmentpoint‐of‐care food analysissmartphone‐based sensingsynergistic nutrition

Identifiers

PMID40905019
PMCPMC12403114

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.