Evidence map›Paper›PMID 32277161›Full record

ArticleScientific reports2020

Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations.

Elísabet Martín-Tornero, Ricardo Nuno Mendes de Jorge Páscoa, Anunciación Espinosa-Mansilla, Isabel Durán Martín-Merás, João Almeida Lopes

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Elísabet Martín-TorneroDepartment of Analytical Chemistry & Research Institute on Water, Climate Change & Sustainability (IACYS), University of Extremadura, 06006, Badajoz, Spain.
Ricardo Nuno Mendes de Jorge PáscoaLAQV/REQUIMTE, Laboratório de Química Aplicada, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal. rnpascoa@ff.up.pt.ORCID http://orcid.org/0000-0003-2073-7643
Anunciación Espinosa-MansillaDepartment of Analytical Chemistry & Research Institute on Water, Climate Change & Sustainability (IACYS), University of Extremadura, 06006, Badajoz, Spain.
Isabel Durán Martín-MerásDepartment of Analytical Chemistry & Research Institute on Water, Climate Change & Sustainability (IACYS), University of Extremadura, 06006, Badajoz, Spain.
João Almeida LopesResearch Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Near infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) in combination with chemometric analysis were applied to discriminate the geographical origin of grapevine leaves belonging to the variety "Touriga Nacional" during different vegetative stages. Leaves were collected from plants of two different wine regions in Portugal (Dão and Douro) over the grapes maturation period. A sampling plan was designed in order to obtain the most variability within the vineyards taking into account variables such as: solar exposition, land inclination, altitude and soil properties, essentially. Principal component analysis (PCA) was used to extract relevant information from the spectral data and presented visible cluster trends. Results, both with NIRS and MIRS, demonstrate that it is possible to discriminate between the two geographical origins with an outstanding accuracy. Spectral patterns of grapevine leaves show significant differences during grape maturation period, with a special emphasis between the months of June and September. Additionally, the quantification of total chlorophyll and total polyphenol content from leaves spectra was attempted by both techniques. For this purpose, partial least squares (PLS) regression was employed. PLS models based on NIRS and MIRS, both demonstrate a statistically significant correlation for the total chlorophyll (R

Indexed as

Models, StatisticalChlorophyllCrop ProductionGeographyLeast-Squares AnalysisPlant LeavesPolyphenolsPortugalPrincipal Component AnalysisSpectroscopy, Near-InfraredVitisChlorophyllPolyphenols

Identifiers

PMID32277161
PMCPMC7148322

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.