The bioactive efficiency of ultrasonic extracts from acorn leaves and green walnut husks against Bacillus cereus: a hybrid approach to PCA with the Taguchi method
Yazarlar (3)
Dr. Öğr. Üyesi Göktürk ÖZTÜRK Kırşehir Ahi Evran Üniversitesi, Türkiye
Ahmet E. Yetiman
Erciyes Üniversitesi, Türkiye
Erciyes Üniversitesi, Türkiye
Mahmut Dogan Erciyes Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Food Measurement and Characterization (Q3) | ||
| Dergi ISSN | 2193-4126 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2019 |
| Kabul Tarihi | 12-04-2026 | Yayınlanma Tarihi | – |
| Cilt / Sayı / Sayfa | 13 / 2 / 1257–1268 | DOI | 10.1007/s11694-019-00041-7 |
| Makale Linki | https://link.springer.com/article/10.1007/s11694-019-00041-7 | ||
| Özet |
| The objective of this study was to investigate the usefulness of the hybrid approach using the Taguchi method (TM) and principal component analysis (PCA) in determining the optimum conditions for ultrasonic extracts of acorn leaves and green walnut husks, which potentially demonstrate the best bioactive efficiency against Bacillus cereus. First, an L36 (21 × 34) mixed level orthogonal array design was implemented, consisting of five factors: extract type, temperature, time, solvent and concentration, respectively. Also, the total phenolic content, antiradical activity, and antibiogram analyses were investigated by design, and signal-to-noise (S/N) ratios were calculated for each trial. An analysis of variance (ANOVA) was performed using S/N ratios to estimate the effects of the measured parameters and their interactions for a single-objective TM. Following that, PCA was used to normalize the S/N ratios for each … |
| Anahtar Kelimeler |
| Antimicrobial activity | Bacillus cereus | Hybrid approach | Phenolic | Principal component analysis | Taguchi method |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 9 |
| Scopus | 6 |
| Web of Science | 6 |