Evidence map›Paper›PMID 27886070›Full record

ArticleSensors (Basel, Switzerland)2016

Molecularly Imprinted Filtering Adsorbents for Odor Sensing.

Sho Shinohara, You Chiyomaru, Fumihiro Sassa, Chuanjun Liu, Kenshi Hayashi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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
0.9field-weighted citation impact, top 25% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Review
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 at 2 institutions in 1 country.

Sho ShinoharaGraduate School of Systems Life Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. s.shinohara.877@s.kyushu-u.ac.jp.
You ChiyomaruGraduate School of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. youchiyomaru@hotmail.co.jp.
Fumihiro SassaGraduate School of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. sassa@ed.kyushu-u.ac.jp.
Chuanjun LiuGraduate School of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. liu_d@use-ebisu.co.jp.
Kenshi HayashiGraduate School of Information Science and Electrical Engineering, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan. hayashi@ed.kyushu-u.ac.jp.
Kyushu University · JPShibuya (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Versatile odor sensors that can discriminate among huge numbers of environmental odorants are desired in many fields, including robotics, environmental monitoring, and food production. However, odor sensors comparable to an animal's nose have not yet been developed. An animal's olfactory system recognizes odor clusters with specific molecular properties and uses this combinatorial information in odor discrimination. This suggests that measurement and clustering of odor molecular properties (e.g., polarity, size) using an artificial sensor is a promising approach to odor sensing. Here, adsorbents composed of composite materials with molecular recognition properties were developed for odor sensing. The selectivity of the sensor depends on the adsorbent materials, so specific polymeric materials with particular solubility parameters were chosen to adsorb odorants with various properties. The adsorption properties of the adsorbents could be modified by mixing adsorbent materials. Moreover, a novel molecularly imprinted filtering adsorbent (MIFA), composed of an adsorbent substrate covered with a molecularly imprinted polymer (MIP) layer, was developed to improve the odor molecular recognition ability. The combination of the adsorbent and MIP layer provided a higher specificity toward target molecules. The MIFA thus provides a useful technique for the design and control of adsorbents with adsorption properties specific to particular odor molecules.

Indexed as

AdsorptionMolecular ImprintingOdorantsPolymersPolymersadsorbentsmolecularly imprinted filtering adsorbentodor sensor

Identifiers

PMID27886070
PMCPMC5134632
OpenAlexW2549922541

What OpenQuestion holds

Textmetadata
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.