Evidence map›Paper›PMID 36826253›Full record

ArticleGels (Basel, Switzerland)2023

Specific Alcohol-Responsive Photonic Crystal Sensors Based on Host-Guest Recognition.

Xiaolu Cai, Xiaojing Zhang, Jing Fan, Wenxiang Zheng, Tianyi Zhang, Lili Qiu, Zihui Meng

Open access · goldAbstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Xiaolu CaiSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Xiaojing ZhangQuality Control Center Department, Sinosteel Luoyang Institute of Refractories Research Co., Ltd., Luoyang 471039, China.
Jing FanSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Wenxiang ZhengSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Tianyi ZhangSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Lili QiuSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-9693-4032
Zihui MengSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Beijing Institute of Technology · CNSinosteel (China) · CN

Funding

National Natural Science Foundation of China No. U1530141 and 21804009
6 · The paper itself

Abstract

A photonic crystal material based on β-cyclodextrin (β-CD) with adsorption capacity is reported. The materials ((A-β-CD)-AM PC) consist of 3D poly (methyl methacrylate) (PMMA) colloidal microsphere arrays and hydrogels supplemented with β-cyclodextrin modified by acryloyl chloride. The prepared materials are then utilized for VOCs gas sensing. The 3D O-(A-β-CD)-AM PC was used to detect toluene, xylene, and acetone and the response was seen as the red-shift of the reflection peak. The 3D I-(A-β-CD)-AM PC was used to detect toluene, xylene, and acetone which occurred redshifted, while methanol, ethanol, and propanol and the peaks' red-shifting was observed. However, among these, methanol gave the largest red-shift response The sensor has broad prospects in the detection of alcohol and the detection of alcohol-loaded drug releases in the future.

Indexed as

alcohol sensorsphotonic crystalsvolatile organic compounds detectionβ-cyclodextrin

Identifiers

PMID36826253
PMCPMC9957353
OpenAlexW4317502718

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.