Evidence map›Paper›PMID 41356705›Full record

ReviewFrontiers in insect science2025

3D printing approaches to simulate natural diets for insects with implications for domestication and mass-rearing.

Carlos Pascacio-Villafán, Viridiana Tejada-Ortigoza, Allen Carson Cohen, Martín Aluja

Abstract readReview
In one paragraph

Review in Frontiers in insect science, 2025. 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

4 authors.

Carlos Pascacio-VillafánRed de Manejo Biorracional de Plagas y Vectores, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología, A.C., Xalapa, Veracruz, Mexico.
Viridiana Tejada-OrtigozaSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo León, Mexico.
Allen Carson CohenDepartment of Entomology and Plant Pathology, Insect Rearing Education and Research, North Carolina State University, Raleigh, NC, United States.
Martín AlujaRed de Manejo Biorracional de Plagas y Vectores, Clúster Científico y Tecnológico BioMimic®, Instituto de Ecología, A.C., Xalapa, Veracruz, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many insect species that could benefit humanity cannot be reared or domesticated because of the lack of adequate artificial diets. In the case of insect pests which are controlled via the Sterile Insect Technique, the prospects of improving biological traits of mass-reared individuals hinge on the development of new diet formulations. 3D food printing technology holds unique potential to create customized artificial diets simulating the shape, texture, and distribution of nutrient and non-nutrient components (e.g., dietary fiber and secondary metabolites) of natural insect foods. We present an overview on the use of state-of-the-art 3D printing technology to develop artificial diets that mimic the dynamic nature of natural insect diets, characterized by compartmentalized food components. The challenges and limitations of 3D food printing technology for its application in the field of diet development and artificial insect rearing are discussed, and future research priorities are highlighted. Examples are provided of beneficial and pestiferous insect species that could be reared on 3D-printed diets such as the cocoa pod borer and tephritid flies.

Indexed as

3D printingcustomized dietdiet developmentdomesticationinsect rearingstate-of-the-art technologysterile insect technique

Identifiers

PMID41356705
PMCPMC12676249

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.