Evidence map›Paper›PMID 36281296›Full record

ArticleACS measurement science au2022

Automatic Microtitrator for Small Volume Samples.

Zhizhen Wu, Abid Rehman, Zhehao Zhang, Ian Papautsky

Open access · goldAbstract read
In one paragraph

Article in ACS measurement science au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Zhizhen WuDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
Abid RehmanDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Zhehao ZhangDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
Ian PapautskyDepartment of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.ORCID https://orcid.org/0000-0002-1396-9625
University of Illinois Chicago · USUniversity of Illinois Urbana-Champaign · US

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Validation and Demonstration of Point-of-Care Sensor for Multi-Metal Exposure AssessmentR33ES024717 · NIEHS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PAPAUTSKY, IAN · 2018 to 2020
$1.8M
NIEHS NIH HHS P30 ES027792NIEHS NIH HHS R33 ES024717
6 · The paper itself

Abstract

Electroanalytical sensors for point-of-care biomedical or point-of-use environmental sample analysis are gaining popularity due to low limits of detection, ease of miniaturization, convenience, and ability to work with small sample volumes. Since pH must be tightly controlled for optimum electrochemical performance, adjustment of pH in these samples is often a necessity. Yet manual titration is time-consuming and can be especially challenging for small volumes. End point determination can also be difficult. Current commercial automatic pH titrators are generally designed for large volume (>1 mL) batch titrations, while the existing microvolume titrators are semiautomatic at best, still relying on multiple manual steps. To address the gap, we developed an automatic microtitration system suitable for small volume samples. The system was validated using digested whole blood microsamples, successfully demonstrating accurate and rapid pH adjustment for samples as small as 100 μL. The simple modular construction of the system makes it compatible with acid washing for trace metal detection and other cleaning or sample preparation steps. The electrochemical detection of manganese heavy metal in blood at the parts per billion level showed no detectable contamination induced by the system. Ultimately, our simple, accurate, user-friendly automatic microtitration system can be used in the pH adjustment of microvolume samples and can potentially be extended to other pH end point analysis.

Identifiers

PMID36281296
PMCPMC9585638
OpenAlexW4285389046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.