Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Combining non-destructive devices and multivariate analysis as a tool to quantify the fatty acid profiles of linseed genotypes.

Talanta - 1 Jan 2025

Arslan Aysel, Aygun Yusuf Ziya, Turkmen Musa, Celiktas Nafiz, Mert Mehmet

Abstract excerpt

Linseed (Linum usitatissimum L.) and linseed oil, with a fatty acid profile rich in both macro and micro elements, are recognized as functional foods due to their valuable positive effects on health. Fatty acids composition (FAC) is a key indicator in assessing the quality of linseeds. The FAC of linseed is typically determined using chromatographic methods, yielding highly accurate results. However,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Colorimetry
Share to Dietary Fiber
Share to Fatty Acids

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Least-Squares Analysis

Share to Multivariate Analysis

Share to Spectroscopy, Fourier Transform Infrared

Source

Identifiers

PMID: 39241643
DOI: 10.1016/j.talanta.2024.126798

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining non-destructive devices and multivariate analysis as a tool to quantify the fatty acid profiles of linseed genotypes.PMID 39241643Read ↗

Non destructive estimation of total phenol and crude fiber content in intact seeds of rapeseed–mustard using FTNIRSemantic proximity Read ↗

Method-Dependent Variability in Hempseed Lipidomics: Combined Influence of Extraction, Derivatisation, and Genotype on Fatty Acid Composition and Stability.Semantic proximity Read ↗

Exploring the role of plant oils in aquaculture practices: an overviewSemantic proximity Read ↗

Identification of genetic variation in Brassica napus seeds for tocopherol content and composition using near‐infrared spectroscopy techniqueSemantic proximity Read ↗

Evaluation of nutritional and antioxidant properties of almond cultivars: A comprehensive analysis for health and industry applicationsSemantic proximity Read ↗

Influence of genotype and crop year in the chemometrics of almond and pistachio oils.Semantic proximity Read ↗

Simultaneous extraction and quantitation of carotenoids, chlorophylls, and tocopherols in Brassica vegetables.Semantic proximity Read ↗

Omega-3 fatty acids from fish by-products: Innovative extraction and application in food and feedSemantic proximity Read ↗

Real-Time In Situ Screening of Omega-7 Phospholipids in Marine Biological Resources Using an iKnife-Rapid-Evaporative-Ionization-Mass-Spectrometry-Based Lipidomics Phenotype.Semantic proximity Read ↗

Analysis of Fatty Acid and Lignan Composition of Indian Germplasm of Sesame to Evaluate Their Nutritional MeritsSemantic proximity Read ↗

Macadamia oil extraction methods and uses for the defatted meal byproductSemantic proximity Read ↗

Genetic diversity in fatty acid composition and antioxidant capacity of Nigella sativa L. genotypesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.