Evidence map›Paper›PMID 39677016›Full record

ArticleBio-protocol2024

A Simple, Rapid, and Cost-Effective Method for Assessing Carbohydrate Partitioning in Microalgae and

Araceli N Bader, Lara Sánchez Rizza, María A De Marco, Ana P Lando, Giselle M A Martínez-Noël, Verónica F Consolo, Leonardo Curatti

Abstract read
In one paragraph

Article in Bio-protocol, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Araceli N BaderInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Lara Sánchez RizzaInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
María A De MarcoInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Ana P LandoInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Giselle M A Martínez-NoëlInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Verónica F ConsoloInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.
Leonardo CurattiInstituto de Investigaciones en Biodiversidad y Biotecnología and Fundación para Investigaciones Biológicas Aplicadas, Mar del Plata, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbohydrates serve crucial functions in most living cells, encompassing structural and metabolic roles. Within the realms of plant and algal biology, carbohydrate biosynthesis and partitioning play pivotal roles in growth, development, stress physiology, and various practical applications. These applications span diverse fields, including the food and feed industry, bioenergetics (biofuels), and environmental management. However, existing methods for carbohydrate determination tend to be costly and time-intensive. In response to that, we propose a novel approach to assess carbohydrate partitioning from small samples. This method leverages the differential solubility of various fractions, including soluble sugars, starch, and structural polymers (such as cellulose). After fractionation, a straightforward spectrophotometric analysis allows for the quantification of sugars. Key features • We developed a cost-effective method to assess carbohydrate distribution in small samples based on differential solubility and spectrophotometry. • Efficient carbohydrate partitioning methods reduce time and effort, especially for large sample sets. • Cost-effective carbohydrate analysis method reduces expenses, promotes accessibility, and encourages adoption in research and quality control. • Analysis of small samples from microalgal and

Indexed as

Arabidopsis thalianaCarbohydrate partitioning methodMicroalgaeStarchStructural carbohydratesSugars

Identifiers

PMID39677016
PMCPMC11635439

What OpenQuestion holds

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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.