Evidence map›Paper›PMID 38830877›Full record

ArticleScientific reports2024

Harnessing Raman spectroscopy for the analysis of plant diversity.

Ekta Jain, Michelle Rose, Praveen Kumar Jayapal, Gajendra P Singh, Rajeev J Ram

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ekta JainDisruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
Michelle RoseDisruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
Praveen Kumar JayapalDisruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
Gajendra P SinghDisruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore.
Rajeev J RamDisruptive and Sustainable Technologies for Agricultural Precision, Singapore-MIT Alliance for Research and Technology, 1 Create Way, 03-06/07/8 Research Wing, Singapore, 138602, Singapore. rajeev@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we explore the application of Raman spectroscopy for the assessment of plant biodiversity. Raman spectra from 11 vascular plant species commonly found in forest ecosystems, specifically angiosperms (both monocots and eudicots) and pteridophytes (ferns), were acquired in vivo and in situ using a Raman leaf-clip. We achieved an overall accuracy of 91% for correct classification of a species within a plant group and identified lignin Raman spectral features as a useful discriminator for classification. The results demonstrate the potential of Raman spectroscopy in contributing to plant biodiversity assessment.

Indexed as

BiodiversitySpectrum Analysis, RamanLigninPlant LeavesPlantsLignin

Identifiers

PMID38830877
PMCPMC11148151

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Registered trials

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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.