Evidence map›Paper›PMID 37327459›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2023

Rapid and Onsite Detection of Fuel Adulteration.

Sanli Movafaghi, Sravanthi Vallabhuneni, Wei Wang, Shantanu Jathar, Arun K Kota

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Sanli MovafaghiDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States.
Sravanthi VallabhuneniDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID 0000-0002-4065-3466
Wei WangDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee Knoxville, Knoxville, Tennessee 37996, United States.ORCID 0000-0002-1260-2098
Shantanu JatharDepartment of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States.ORCID 0000-0003-4106-2358
Arun K KotaDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID 0000-0001-9061-7896

Funding

Superhydrophobic Heart Valve ProsthesisR01HL135505 · NHLBI · OHIO STATE UNIVERSITY · PI DASI, LAKSHMI PRASAD, KOTA, ARUN KUMAR · 2017 to 2020
$2.9M
Flexible Anti-thrombotic LVADsR21EB033960 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI DASI, LAKSHMI PRASAD, KOTA, ARUN KUMAR · 2022 to 2023
$428k
NHLBI NIH HHS R01 HL135505NIBIB NIH HHS R21 EB033960
6 · The paper itself

Abstract

In numerous developing countries, the lower cost of subsidized liquid fuels such as kerosene compared to market-rate fuels often results in fuel adulteration. Such misuse of kerosene is hard to detect with conventional detection technologies because they are either time consuming, expensive, not sensitive enough or require well-equipped analytical laboratories. In this work, we developed an inexpensive and easy-to-use device for rapid and onsite detection of fuel adulteration. The working principle of our fuel adulteration detection is sensing changes in the mobility of fuel droplets on non-textured (i.e., smooth) and non-polar solid surfaces. Using our device, we demonstrated rapid detection of diesel (market-rate fuel) adulterated with kerosene (subsidized fuel) at concentrations an order of magnitude below typical adulteration concentrations. We envision that our inexpensive, easy-to-use, and field-deployable device as well as the design strategy will pave the way for novel fuel quality sensors.

Identifiers

PMID37327459
PMCPMC13006146

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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.