Evidence map›Paper›PMID 35885269›Full record

ArticleFoods (Basel, Switzerland)2022

Lentil (

Lívia Hajas, László Sipos, Éva Csajbókné Csobod, Márta Veresné Bálint, Réka Juhász, Csilla Benedek

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Lívia HajasDepartment of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, 1088 Budapest, Hungary.
László SiposDepartment of Postharvest, Supply Chain, Commerce and Sensory Science, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.ORCID 0000-0002-4584-6697
Éva Csajbókné CsobodDepartment of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, 1088 Budapest, Hungary.
Márta Veresné BálintDepartment of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, 1088 Budapest, Hungary.
Réka JuhászDepartment of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, 1088 Budapest, Hungary.
Csilla BenedekDepartment of Dietetics and Nutrition Science, Faculty of Health Science, Semmelweis University, 1088 Budapest, Hungary.ORCID 0000-0001-5656-6976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monotony in a gluten-free (GF) diet can be a challenge because of a limited choice of acceptable cereal sources. This study investigates the potential of five types of differently coloured lentils in the development of GF cookies using rice flour as a reference. Raw materials (lentil flours) and cookies were characterised in terms of physicochemical parameters (e.g., crude protein content, total phenolics and flavonoids, antioxidant properties, colour, pH); additionally, geometry, baking loss and texture profile were determined for the cookies. A sensory acceptance test was also conducted to find out consumer preferences regarding rice versus different lentil cookies. Results showed that lentil cookies were superior to rice control in terms of higher crude protein (12.1−14.8 vs. 3.8 g/100 g), phenolic (136.5−342.3 vs. 61.5 mg gallic acid equivalents/100 g) and flavonoid (23.8−75.9 vs. 13.1 mg catechin equivalents/100 g) content and antioxidant capacity (0.60−1.81 vs. 0.35 mmol trolox equivalents/100 g), as well as lower hydroxymethyl-furfural content (<1 vs. 26.2 mg/kg). Consumers preferred lentil cookies to rice ones (overall liking: 6.1−7.0 vs. 5.6, significant differences for red and brown lentils), liking especially their taste (6.3−7.0 vs. 5.5). Depending on the target parameter, whether physicochemical or sensory, these lentil flours can be promising raw materials for GF bakery products.

Indexed as

antioxidantcookiesproteinpulsessensory propertiestexture

Identifiers

PMID35885269
PMCPMC9317262

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.