Evidence map›Paper›PMID 41524958›Full record

ReviewMikrochimica acta2026

Versatile applications of LIG-based biosensors: from environmental monitoring to biomedical innovations.

Fatemeh Saeedi, Reza Ansari, Mojtaba Haghgoo, Saeid Sahmani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2026. 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
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.

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.

Fatemeh SaeediFaculty of Mechanical Engineering, University of Guilan, Rasht, Iran.
Reza AnsariFaculty of Mechanical Engineering, University of Guilan, Rasht, Iran. r.ansari@ug.edu.ge.
Mojtaba HaghgooFaculty of Mechanical Engineering, University of Guilan, Rasht, Iran.
Saeid SahmaniDepartment of Civil Engineering, School of Science and Technology, The University of Georgia, Tbilisi, 0171, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene-based biosensors are recognized as one of the most innovative tools in the fields of biological and medical diagnostics. This paper investigates the laser-induced graphene process and its impact on the electrical and chemical properties of biosensors. By employing advanced laser methods, researchers can finely tune both the architecture and functional characteristics of graphene, thereby improving the sensor's ability to detect specific substances with greater accuracy and selectivity. We analyze the effects of various laser parameters, including wavelength and power, on the formation of graphene and the performance of biosensors. Experimental results demonstrate that laser-induced biosensors are capable of detecting biological analytes with high accuracy and rapid response times. These advancements contribute to the development of novel technologies for early disease detection and personal health monitoring. Finally, the challenges and future opportunities for further research on laser-induced graphene biosensors will be discussed.

Indexed as

Biosensing TechniquesEnvironmental MonitoringGraphiteHumansLasersGraphiteBiomedical sensorsBiosensorsDetection mechanismsGraphene-based biosensorsLaser-induced graphene process

Identifiers

PMID41524958

What Socratic holds

Textmetadata
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 Socratic graph.