Chemical fingerprinting and cluster-based evaluation of vegetable oils for biodiesel applications
Yazarlar (2)
Doç. Dr. Hüseyin SÖYLER Sinop Üniversitesi, Türkiye
Doç. Dr. Mustafa Kemal BALKİ Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | CASE STUDIES IN THERMAL ENGINEERING (Q1) | ||
| Dergi ISSN | 2214-157X Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 09-2025 |
| Cilt / Sayı / Sayfa | 73 / 106703 / 106703–0 | DOI | 10.1016/j.csite.2025.106703 |
| Makale Linki | https://doi.org/10.1016/j.csite.2025.106703 | ||
| UAK Araştırma Alanları |
Yakıtlar ve Yanma
Enerji
İçten Yanmalı Motorlar
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| Özet |
| This study evaluates the biodiesel potential of five vegetable oils—safflower, flaxseed, rapeseed, niger seed, and perilla through detailed analysis of their fatty acid composition and key fuel properties. Gas chromatography mass spectrometry (GC-MS) was used to characterize the oils and quantify their saturated, monounsaturated, and polyunsaturated fatty acid contents. The impact of fatty acid profiles on cetane number, oxidative stability, viscosity, and cold-flow behavior was assessed. Hierarchical and K-Means clustering techniques identified chemical similarities and guided the development of optimized blending strategies. Results showed that rapeseed and safflower oils, with high monounsaturated fatty acid content, provided superior oxidative stability and combustion performance. In contrast, flaxseed and perilla oils offered improved cold-flow properties but required stabilization to enhance storage life … |
| Anahtar Kelimeler |
| Fatty acid profiling | GC-MS/MS analysis | Hierarchical clustering | K -means clustering | Fuel blend optimization |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Google Scholar | 3 |