Evidence map›Paper›PMID 40136965›Full record

ArticleBiosensors2025

Comprehensive Raman Fingerprinting and Machine Learning-Based Classification of 14 Pesticides Using a 785 nm Custom Raman Instrument.

Meral Yüce, Nazlı Öncer, Ceren Duru Çınar, Beyza Nur Günaydın, Zeynep İdil Akçora, Hasan Kurt

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Meral YüceSUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Türkiye.ORCID 0000-0003-0393-1225
Nazlı ÖncerSUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Türkiye.
Ceren Duru ÇınarDepartment of Computer Science & Engineering, Sabanci University, Istanbul 34956, Türkiye.
Beyza Nur GünaydınSUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Türkiye.
Zeynep İdil AkçoraDepartment of Molecular Biology, Genetics and Bioengineering, Sabanci University, Istanbul 34956, Türkiye.
Hasan KurtDepartment of Bioengineering, Royal School of Mines, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-1677-644X

Funding

The Scientific and Technological Research Council of Turkey (TUBITAK) 22AG002
6 · The paper itself

Abstract

Raman spectroscopy enables fast, label-free, qualitative, and quantitative observation of the physical and chemical properties of various substances. Here, we present a 785 nm custom-built Raman spectroscopy instrument designed for sensing applications in the 400-1700 cm

Indexed as

Machine LearningPesticidesSpectrum Analysis, RamanPesticides532 nm Raman785 nm Ramanfood monitoringmachine learningpesticide detection

Identifiers

PMID40136965
PMCPMC11940532

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.