Evidence map›Paper›PMID 29186023›Full record

ArticleSensors (Basel, Switzerland)2017

Highly Sensitive FPW-Based Microsystem for Rapid Detection of Tetrahydrocannabinol in Human Urine.

Je-Wei Lan, Chia-Hsu Hsieh, I-Yu Huang, Yu-Cheng Lin, Tsung-Yi Tsai, Chua-Chin Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. 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
0.3field-weighted citation impact, top 39% 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. Review
  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

6 authors at 2 institutions in 1 country.

Je-Wei LanDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. d993010003@student.nsysu.edu.tw.
Chia-Hsu HsiehDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. tim06061983@gmail.com.
I-Yu HuangDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. iyuhuang@mail.nsysu.edu.tw.
Yu-Cheng LinDepartment of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan. yuclin@mail.ncku.edu.tw.
Tsung-Yi TsaiDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. zack@vlsi.ee.nsysu.edu.tw.
Chua-Chin WangDepartment of Electrical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. ccwang@ee.nsysu.edu.tw.ORCID 0000-0002-2426-2879
National Sun Yat-sen University · TWNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a highly sensitive flexural plate-wave (FPW)-based microsystem for rapid detection of tetrahydrocannabinol (THC) in human urine. First, a circular-type interdigital transducer (IDT) was integrated with a circular-type silicon-grooved reflective grating structure (RGS) to reduce insertion loss. Then, with lower insertion loss (-38.758 dB), the FPW device was used to develop a novel THC biosensor, and the results reveal that this FPW-THC biosensor has low detection limit (1.5625 ng/mL) and high mass-sensitivity (126.67 cm²/g). Finally, this biosensor was integrated with field-programmable gate array (FPGA) board and discrete components for prototyping a FPW readout system, whose maximum error was 12.378 kHz to ensure that the linearity of detection up to R-square is equal to 0.9992.

Indexed as

Biosensing TechniquesDronabinolGas Chromatography-Mass SpectrometryHumansLimit of DetectionSiliconSubstance Abuse DetectionDronabinolSiliconcircular-type interdigital transducerfield-programmable gate arrayflexural plate-wavelow insertion lossreadout systemreflective grating structuretetrahydrocannabinol

Identifiers

PMID29186023
PMCPMC5750750
OpenAlexW2770316743

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.