Cargando…
Predicting VOCs content and roasting methods of lamb shashliks using deep learning combined with chemometrics and sensory evaluation
A comparison was made between the traditional charcoal-grilled lamb shashliks (T) and four new methods, namely electric oven heating (D), electric grill heating (L), microwave heating (W), and air fryer treatment (K). Using E-nose, E-tongue, quantitative descriptive analysis (QDA), and HS-GC-IMS and...
Autores principales: | Shen, Che, Cai, Yun, Ding, Meiqi, Wu, Xinnan, Cai, Guanhua, Wang, Bo, Gai, Shengmei, Liu, Dengyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300318/ https://www.ncbi.nlm.nih.gov/pubmed/37389322 http://dx.doi.org/10.1016/j.fochx.2023.100755 |
Ejemplares similares
-
Identifying the quality characteristics of pork floss structure based on deep learning framework
por: Shen, Che, et al.
Publicado: (2023) -
Effect of Fat to Lean Meat Ratios on the Formation of Volatile Compounds in Mutton Shashliks
por: Zhang, Mingcheng, et al.
Publicado: (2023) -
Potential Alternative to Nitrite in Roasted Lamb for Sensory Attributes: Atmospheric Nonthermal Plasma Treatment
por: Chen, Ruixia, et al.
Publicado: (2021) -
Shashlik calorimetry: a combined Shashlik + Preshower detector for LHC
por: Badier, J, et al.
Publicado: (1993) -
Development of a Check-All-That-Apply (CATA) Ballot and Machine Learning for Generation Z Consumers for Innovative Traditional Food
por: Wang, Bo, et al.
Publicado: (2022)