Evidence map›Paper›PMID 40006415›Full record

ArticleSensors (Basel, Switzerland)2025

Development of an Internet of Things-Based Ultra-Pure Water Quality Monitoring System.

Mehmet Akif Öztürk, Emre Ünsal, Ahmet Fırat Yelkuvan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Polypyrrole/Graphene/WOPolymers · 2026
    Article
  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

3 authors.

Mehmet Akif ÖztürkGraduate School of Natural and Applied Sciences, Sivas Cumhuriyet University, Sivas 58140, Turkey.ORCID 0009-0008-9642-2991
Emre ÜnsalDepartment of Software Engineering, Faculty of Technology, Sivas Cumhuriyet University, Sivas 58140, Turkey.ORCID 0000-0001-6042-0742
Ahmet Fırat YelkuvanDepartment of Computer Engineering, Faculty of Engineering, Sivas Cumhuriyet University, Sivas 58140, Turkey.ORCID 0000-0003-4148-1923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring ultra-pure water quality is crucial in dialysis centers and medical laboratories as even minor impurities can significantly impact health and diagnostic accuracy. In addition, the semiconductor industry needs and uses a significant amount of ultra-pure water. This study introduces an Internet of Things-based system for real-time monitoring and analysis of ultra-pure water conductivity, temperature, and other key parameters. The proposed system integrates a high-precision conductivity sensor, an ESP32 microcontroller, and a web-based interface to enable remote data access and visualization. Data transmission is through wireless communication, and values are stored on a web-based server for long-term analysis. Rigorous tests conducted at Sivas Numune Hospital validated the system's reliability, accuracy, and ability to maintain stringent ultra-pure water quality standards. This robust and cost-effective monitoring solution addresses the limitations of conventional systems and provides real-time insights, ensuring consistent water quality for sensitive medical applications.

Indexed as

embedded systemsinternet of thingswater conductivity sensorwater quality monitoring

Identifiers

PMID40006415
PMCPMC11860856

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.