Evidence map›Paper›PMID 41988472›Full record

ReviewFrontiers in nutrition2026

Digital technologies for sustainable food supply chains: a scoping review of impacts on food safety, loss reduction, and implications for nutritional security.

Shuang Li, Haoyang Li, Tianyi Kong

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shuang Li *School of Accounting, Guangzhou College of Technology and Business, Guangzhou, China.
Haoyang Li *Department of Economic Management, Beijing Jiaotong University, Beijing, China.
Tianyi KongDivision of the Humanities, University of Chicago, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies such as blockchain, Internet of Things (IoT), and artificial intelligence (AI) are increasingly applied in food supply chains (FSCs) to enhance traceability, monitoring, and quality detection. However, whether these technological advancements ultimately contribute to improved nutritional security remains unclear. This scoping review systematically examined the application of digital technologies across food supply chains and assessed their impacts on food safety, food loss reduction, and nutritional outcomes. Following PRISMA guidelines, we searched Web of Science, Scopus, and PubMed for empirical studies published between 2015 and 2025, with supplementary searches conducted in the Cochrane Library and Global Health databases to ensure comprehensive coverage of nutrition-related evidence. Ultimately, 46 studies were included for analysis. Results revealed that blockchain (41.3%), IoT (26.1%), and AI/machine learning (19.6%) constitute the primary technological approaches, with storage and transportation being the most concentrated application areas (41.3%). Evidence for positive impacts on food safety and loss reduction is substantial, with 89% and 83% of relevant studies reporting favorable outcomes, respectively. However, only 6.5% of included studies directly measured nutrition-related outcomes, representing a critical evidence gap. This asymmetric evidence distribution suggests that while digital technologies demonstrate clear value in improving supply chain efficiency and food safety, the pathway from technological performance to nutritional improvement remains largely unverified. Future research should incorporate nutrition indicators into evaluation frameworks and prioritize studies in low-income countries where food loss and nutritional insecurity are most severe.

Indexed as

artificial intelligenceblockchaindigital technologyfood lossfood safetyfood supply chainInternet of Thingsnutritional security

Identifiers

PMID41988472
PMCPMC13076146

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.