Evaluation of High Vacuum Flavor Extraction Device as a Novel Technique for the Extraction of Volatile Compounds.

extraction techniques flavor compound analysis fried tilapia mince gas chromatography–flame ionization detection (GC-FID) high vacuum extraction (HVE) sensory analysis volatile compounds

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
09 Oct 2024
Historique:
received: 12 09 2024
revised: 02 10 2024
accepted: 04 10 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: epublish

Résumé

In this study, a high vacuum flavor extraction (HVE) device was developed to address the limitations of traditional extraction methods, such as extended extraction times and artifact generation during high-temperature processes. Firstly, the repeatability and precision of the HVE method were evaluated through quantitative analysis of twelve volatile odor compounds across seven replicate extractions using gas chromatography-flame ionization detection (GC-FID). The results showed that the HVE system achieved a mean relative standard deviation (RSD) of 11.60 ± 1.79% and a recovery rate of 90.55 ± 4.56%, demonstrating its precision and reproducibility. Secondly, the performance of HVE was compared with solvent-assisted flavor evaporation (SAFE) and simultaneous distillation-extraction (SDE) for extracting flavor compounds from fried tilapia mince. The results indicated that HVE was more effective, particularly in extracting aldehydes and pyrazines, which are key contributors to the flavor profile. Finally, sensory evaluations supported these findings, showing that the odor profiles obtained through HVE were most similar to the original sample, with a similarity score of 72.55%, compared to 69.25% for SAFE and 60.29% for SDE. These findings suggest that HVE is a suitable method for the extraction and analysis of volatile compounds in complex food matrices such as fried tilapia mince.

Identifiants

pubmed: 39410239
pii: foods13193206
doi: 10.3390/foods13193206
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Key R&D Program of China
ID : 018YFD0901003
Organisme : Scientific Innovation and Industrial Demonstration Program of Guangxi
ID : AA20302019-7

Auteurs

Mingyuan Liu (M)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Jie Zhou (J)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Jingkai Qin (J)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Zhongyi Qin (Z)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Jiequn Jiang (J)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Futian Yu (F)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Mei Chen (M)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Xiaoling Liu (X)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Meishuo Zhang (M)

Department of Food Science, Guangxi University, No. 100, Daxue Road, Nanning 530004, China.
Key Laboratory of Deep Processing and Safety Control for Specialty Agricultural Products in Guangxi Universities, Education Department of Guangxi Zhuang Autonomous Region, Nanning 530004, China.

Classifications MeSH