Evidence map›Paper›PMID 42737241›Full record

ArticleFoods (Basel, Switzerland)2026

Food Defense Risk Assessment of an Edible-Coating Processing Line: A Comparative Case Study Using TACCP and CARVER+SHOCK.

Kharla Andreina Segovia-Bravo, Cristina Campanero Pintado, Efrén Pérez-Santín

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Kharla Andreina Segovia-BravoEscuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de La Rioja (UNIR), Avenida de la Paz, 137, 26006 Logroño, Spain.ORCID 0000-0002-1174-019X
Cristina Campanero PintadoEscuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de La Rioja (UNIR), Avenida de la Paz, 137, 26006 Logroño, Spain.ORCID 0009-0003-8961-6038
Efrén Pérez-SantínEscuela Superior de Ingeniería y Tecnología (ESIT), Universidad Internacional de La Rioja (UNIR), Avenida de la Paz, 137, 26006 Logroño, Spain.ORCID 0000-0002-1484-3127

Funding

Universidad Internacional De La Rioja Call for Grants for Scientific Publication in Prestigious Publishing
6 · The paper itself

Abstract

The U.S. FSMA Intentional Adulteration (IA) Rule and GFSI-recognized certification schemes such as IFS Food and BRCGS Food include requirements for establishing and maintaining a written food defense plan, including vulnerability assessment. This study evaluates the suitability and policy relevance of two established food defense risk assessment methodologies, TACCP and CARVER+SHOCK, when applied to the processing of whole oranges with edible coatings. A structured case study was conducted at a medium-sized citrus processing facility certified under IFS Food and BRCGS Food standards. Food defense threats were systematically identified along the entire production line using the FDA Food Defense Self-Assessment Tool. The identified threats were subsequently assessed using TACCP, which is based on likelihood and impact, and CARVER+SHOCK, a multidimensional quantitative approach integrating operational, economic, and psychological impact factors. Twenty-four potential intentional contamination threats were identified. Both methodologies consistently identified critical vulnerabilities at key control points, particularly in washing systems, chemical handling areas, and stages with unrestricted access. TACCP proved to be rapid, intuitive, and easily integrated into existing food safety management systems. In contrast, CARVER+SHOCK provided a more differentiated ranking of the identified threats because of its multidimensional scoring structure, thereby supporting the development of a structured and economically rational mitigation plan and offering value for policymakers and certification bodies seeking to harmonize risk-assessment practices.

Indexed as

CARVER+SHOCKcitrus processingedible coatingsfood defenserisk assessmentTACCP

Identifiers

PMID42737241
PMCPMC13565649

What OpenQuestion holds

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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.