Evidence map›Paper›PMID 41868255›Full record

ReviewACS energy letters2026

Waste-Based Volatile Fatty Acids for Fuel and Chemical Production.

Mohammed Tahmid, Hyuck Joo Choi, Amanda Lorraine C Cruz, Daniela Ferreira-Garcia, Ehsan Abbasi, Gerardine G Botte, Marta C Hatzell

Abstract readReview
In one paragraph

Review in ACS energy letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Mohammed TahmidSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-9626-4398
Hyuck Joo ChoiSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0003-0941-8430
Amanda Lorraine C CruzSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, Georgia 30332, United States.
Daniela Ferreira-GarciaInstitute for Sustainability & Circular Economy, Chemical and Electrochemical Technology and Innovation Laboratory, Texas Tech University, 2500 Broadway, Lubbock, Texas 79409, United States.
Ehsan AbbasiInstitute for Sustainability & Circular Economy, Chemical and Electrochemical Technology and Innovation Laboratory, Texas Tech University, 2500 Broadway, Lubbock, Texas 79409, United States.ORCID https://orcid.org/0000-0001-7146-9242
Gerardine G BotteInstitute for Sustainability & Circular Economy, Chemical and Electrochemical Technology and Innovation Laboratory, Texas Tech University, 2500 Broadway, Lubbock, Texas 79409, United States.ORCID https://orcid.org/0000-0002-5678-6669
Marta C HatzellGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 770 Ferst Drive NW, Atlanta, Georgia 30332, United States.ORCID https://orcid.org/0000-0002-5144-4969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volatile fatty acids (VFAs) are versatile intermediates for circular chemical and fuel manufacturing. Current VFA production relies heavily on fossil feedstocks and serves a narrow set of commodity markets. Here, we project VFA demand through 2050 and evaluate the potential to recover VFAs from abundant, widely available waste streams, exploring how waste-derived VFAs can support a broader circular carbon economy by midcentury. We project that the global VFA recovery potential from waste could reach ∼581 Mt yr

Identifiers

PMID41868255
PMCPMC13004434

What OpenQuestion holds

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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 OpenQuestion graph.