Evidence map›Paper›PMID 42500247›Full record

ArticleFrontiers in nutrition2026

Reuse of maize lime cooking wastewater supports circular economy practices in Mexican food systems.

Aleksandra Krstikj, Alexa Cervantes-Lopez, Anayansi Escalante-Aburto, Julia M Vasquez-Aquino, Janet A Gutierrez-Uribe, Ruben Garnica-Monroy, Mariana Franco-Morgado

Abstract read
In one paragraph

Article 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

7 authors.

Aleksandra KrstikjTecnologico de Monterrey, School of Architecture, Art and Design, Lopez Mateos, State of Mexico, Monterrey, Mexico.
Alexa Cervantes-LopezTecnologico de Monterrey, School of Engineering and Sciences, Atlixcáyotl, Reserva Territorial Atlixcáyotl, Puebla, Mexico.
Anayansi Escalante-AburtoTecnologico de Monterrey, Institute for Obesity Research, Monterrey, NL, Mexico.
Julia M Vasquez-AquinoTecnologico de Monterrey, School of Engineering and Sciences, Atlixcáyotl, Reserva Territorial Atlixcáyotl, Puebla, Mexico.
Janet A Gutierrez-UribeTecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico.
Ruben Garnica-MonroyMetropolitan Autonomous University, Ciudad de México, Mexico.
Mariana Franco-MorgadoTecnologico de Monterrey, School of Engineering and Sciences, Atlixcáyotl, Reserva Territorial Atlixcáyotl, Puebla, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change and population growth are intensifying global water scarcity, necessitating innovative approaches to wastewater reuse, particularly in agriculture. Each year, an estimated 14.4 million m Method: The feasibility of coupling Results: Results indicate that all scenarios have potential for partial wastewater treatment and resource recovery, with treatment efficiency of 55% and a 160% improvement in soil water capacity retention. The 50% collection efficiency achieves the highest cost-benefit ratio (91.1) suggesting that a 50% of HRAP system offers the most economically balanced configuration. This outcome likely reflects the optimization of operational costs relative to benefits where the system captures sufficient economies of scale to reduce unit treatment costs without incurring the logistical and energy inefficiencies associated with a 100% of Conclusion: The assessment demonstrates that the HRAP-based fermented

Indexed as

bioconversion treatmenthigh rate algal pondnejayotesustainable planningurban food systemswastewater reuse

Identifiers

PMID42500247
PMCPMC13395720

What OpenQuestion holds

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LicenceCC BY
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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.