Journal article Measurement of Volatile Fatty Acids in Silage through Odors with Nanomechanical Sensors
Kosuke Minami (author) (Search by this author)
ORCID SAMURAI ;
Hisami Kobayashi (author) (Search by this author)
;
Masaaki Matoba (author) (Search by this author)
National Institute for Materials Science
;
Yuko Kamiya (author) (Search by this author)
;
Subrata Maji (author) (Search by this author)
National Institute for Materials Science
;
Takahiro Nemoto (author) (Search by this author)
National Institute for Materials Science
;
Masanori Tohno (author) (Search by this author)
;
Ryoh Nakakubo (author) (Search by this author)
;
Genki Yoshikawa (author) (Search by this author)
ORCID SAMURAI
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Citation
Kosuke Minami, Hisami Kobayashi, Masaaki Matoba, Yuko Kamiya, Subrata Maji, Takahiro Nemoto, Masanori Tohno, Ryoh Nakakubo, Genki Yoshikawa. Measurement of Volatile Fatty Acids in Silage through Odors with Nanomechanical Sensors. Biosensors-Basel. 2023, 13 (2), 152-152. https://doi.org/10.3390/bios13020152
SAMURAI

Description:

(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 nanome-chanical sensors—Membrane-type Surface stress Sensors (MSS). Focusing on relatively slow de-sorption 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.

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Keyword: nanomechanical sensors, olfactory sensors

Date published: 2023-01-18

Publisher: MDPI AG

Journal:

  • Biosensors-Basel (ISSN: 20796374) vol. 13 issue. 2 p. 152-152

Funding:

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.3390/bios13020152

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Updated at: 2024-01-05 22:11:47 +0900

Published on MDR: 2023-07-25 13:55:11 +0900

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