Evidence map›Paper›PMID 40017908›Full record

ArticleACS sustainable chemistry & engineering2024

Life Cycle Inventory Availability: Status and Prospects for Leveraging New Technologies.

Mark Mba Wright, Eric C D Tan, Qingshi Tu, Antonio Martins, Abhijeet G Parvatker, Yuan Yao, Aydin Sunol, Raymond L Smith

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS sustainable chemistry & engineering, 2024. 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

8 authors.

Mark Mba WrightMechanical Engineering, Iowa State University, Ames, Iowa 50014, United States.ORCID 0000-0003-1468-2391
Eric C D TanCatalytic Carbon Transformation and Scale-up Center, National Renewable Energy Laboratory, Golden, Colorado 80401, United States.ORCID 0000-0002-9110-2410
Qingshi TuDepartment of Wood Science, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
Antonio MartinsLEPABE, Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal; ALiCE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
Abhijeet G ParvatkerSphera Solutions Inc., Chicago, Illinois 60601, United States.ORCID 0000-0001-6698-0986
Yuan YaoCenter for Industrial Ecology, School of the Environment, Yale University, New Haven, Connecticut 06511, United States.ORCID 0000-0001-9359-2030
Aydin SunolDepartment of Chemical, Biological, and Materials Engineering, University of South Florida, Tampa, Florida 33620, United States.
Raymond L SmithOffice of Research and Development, Center for Environmental Solutions and Emergency Response, U.S. Environmental Protection Agency, Cincinnati, Ohio 45268, United States.ORCID 0000-0002-5885-0687

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The demand for life cycle assessments (LCA) is growing rapidly, which leads to an increasing demand of life cycle inventory (LCI) data. While the LCA community has made significant progress in developing LCI databases for diverse applications, challenges still need to be addressed. This perspective summarizes the current data gaps, transparency, and uncertainty aspects of existing LCI databases. Additionally, we survey and discuss novel techniques for LCI data generation, dissemination, and validation. We propose key future directions for LCI development efforts to address these challenges, including leveraging scientific and technical advances such as the Internet of Things (IoT), machine learning, and blockchain/cloud platforms. Adopting these advanced technologies can significantly improve the quality and accessibility of LCI data, thereby facilitating more accurate and reliable LCA studies.

Indexed as

Blockchain platformsLife cycle assessmentLife cycle inventory dataMachine learningProcess simulation

Identifiers

PMID40017908
PMCPMC11864275

What OpenQuestion holds

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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.