Evidence map›Paper›PMID 28090149›Full record

ArticleSensors and actuators. B, Chemical2017

Multiplexed and fully automated detection of metabolic biomarkers using microdialysis probe.

Champak Das, Guochun Wang, Qian Sun, Bradley Ledden

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 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
–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

2 citing papers in PubMed.

  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

4 authors.

Champak DasSFC Fluidics, Inc, United States.
Guochun WangSFC Fluidics, Inc, United States.
Qian SunSFC Fluidics, Inc, United States.
Bradley LeddenSFC Fluidics, Inc, United States.

Funding

Portable Brain Injury Biomarker Detection System with Integrated Microdialysis PrR44NS076167 · NINDS · SFC FLUIDICS, LLC · PI DAS, CHAMPAK · 2014 to 2016
$2.0M
NINDS NIH HHS R44 NS076167
6 · The paper itself

Abstract

We report here, the design and development of an automated near real-time continuous detection system for lactate, glutamate, pyruvate and glucose using microdialysis probe. The system developed can automatically push perfusate through microdialysis probe (20, 100 and 1000 kDa MWCO cutoff probe) at low to medium flow rate of 0.5-2 μL/min with almost 100% fluid recovery. The microdialysate collected from the probe is analyzed automatically for these four metabolite biomarkers. It operates in a continuous mode with measurements of all four biomarkers once every 20 min. The dynamic range for these different markers covers the entire clinical range of traumatic brain injury. The prototype shows a low variation of ~ 7-10% across the entire clinical range for all the biomarkers with fairly good accuracy of ~95%. The instrument canrun continuously for 24 h without user intervention. With a long tubing of 1 m to and from the microdialysis probe and associated dead volume, the total lag time for actual event at the probe site versusreported concentration is roughly 1 h.

Indexed as

Automated instrumentationCollection efficiencyMetabolic biomarkersMicrodialysisReal-time analysisTraumatic brain injury

Identifiers

PMID28090149
PMCPMC5224532

What OpenQuestion holds

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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.