Evidence map›Paper›PMID 36831918›Full record

ArticleBiosensors2023

Measurement of Volatile Fatty Acids in Silage through Odors with Nanomechanical Sensors.

Kosuke Minami, Hisami Kobayashi, Masaaki Matoba, Yuko Kamiya, Subrata Maji, Takahiro Nemoto, Masanori Tohno, Ryoh Nakakubo, Genki Yoshikawa

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Heliyon · 2023
    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

9 authors.

Kosuke MinamiCenter for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.ORCID 0000-0003-4145-1118
Hisami KobayashiInstitute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), 768 Senbonmatsu, Nasushiobara 329-2793, Tochigi, Japan.
Masaaki MatobaCenter for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.
Yuko KamiyaInstitute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), 768 Senbonmatsu, Nasushiobara 329-2793, Tochigi, Japan.
Subrata MajiCenter for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.
Takahiro NemotoCenter for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.
Masanori TohnoInstitute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), 768 Senbonmatsu, Nasushiobara 329-2793, Tochigi, Japan.
Ryoh NakakuboInstitute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), 2 Ikenodai, Tsukuba 305-0901, Ibaraki, Japan.
Genki YoshikawaCenter for Functional Sensor & Actuator (CFSN), Research Center for Functional Materials, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba 305-0044, Ibaraki, Japan.ORCID 0000-0002-9136-8964

Funding

Cabinet Office Public/Private R&D Investment Strategic Expansion Program (PRISM)Japan Society for the Promotion of Science 18H04168Japan Society for the Promotion of Science 20K20554Japan Society for the Promotion of Science 22K05324
6 · The paper itself

Abstract

The measurement of volatile fatty acids (VFAs) is of great importance in the fields of food and agriculture. There are various methods to measure VFAs, but most methods require specific equipment, making on-site measurements difficult. In this work, we demonstrate the measurements of VFAs in a model sample, silage, through its vapor using an array of nanomechanical sensors-Membrane-type Surface stress Sensors (MSS). Focusing on relatively slow desorption behaviors of VFAs predicted with the sorption kinetics of nanomechanical sensing and the dissociation nature of VFAs, the VFAs can be efficiently measured by using features extracted from the decay curves of the sensing response, resulting in sufficient discrimination of the silage samples. Since the present sensing system does not require expensive, bulky setup and pre-treatment of samples, it has a great potential for practical applications including on-site measurements.

Indexed as

OdorantsSilageBioreactorsFatty Acids, VolatileKineticsFatty Acids, Volatileelectronic nose (e-nose)Membrane-type Surface stress Sensor (MSS)nanomechanical sensorssilagevolatile fatty acids (VFAs)

Identifiers

PMID36831918
PMCPMC9953262

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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.