Hot Air Convective Drying of Ginger Slices: Drying Behaviour, Quality Characteristics, Optimisation of Parameters, and Volatile Fingerprints Analysis

• Published in: Foods Vol. 12; no. 6; p. 1283
• Main Authors: Bai, Ruoxi, Sun, Jieru, Qiao, Xuguang, Zheng, Zhenjia, Li, Meng, Zhang, Bin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 17.03.2023; MDPI
• Subjects: Chromatography; Convective drying; Correlation analysis; Density; Diffusion; Drying; Energy consumption; Fingerprinting; Flavors; Food; Food quality; Food science; GC-IMS; Ginger; Gingerol; High temperature air; LF-NMR; Mass spectrometry; Moisture content; Moisture effects; NMR; Nuclear magnetic resonance; Optimization; Parameters; Principal components analysis; Product quality; Production processes; Quality assessment; quality properties; Rehydration; Response surface methodology; Scientific imaging; Specific energy; Spices; Temperature; Thickness; China; LF-NMR; quality properties; response surface methodology; GC-IMS; ginger
• ISSN: 2304-8158; 2304-8158
• DOI: 10.3390/foods12061283

Ginger is one of the most popular spices and medical herbs with its unique pungent flavour and taste. Although there has been much research into the drying methods of ginger, the effect of drying parameters in hot air convective drying on ginger quality needs to be explored in depth. This study investigated the differences in drying behaviour and quality characteristics of ginger with the variables of temperature, thickness, and loading density. The moisture states and diffusion pattern in the different stages during the drying process were analysed using low-field NMR techniques. The results of quality evaluation showed that the temperature greatly influenced the colour and gingerol content of dried ginger, and the thickness of a ginger slice greatly influenced the rehydration rate. Optimal drying conditions were determined by considering a combination of specific energy consumptions with quality retention based on the response surface methodology: a temperature of 66.41 °C, thickness of 2 mm, and loading density of 5 kg/m . HS-GC-IMS combined with multivariate chemometrics was used to achieve the characterisation of flavour profiles and fingerprinting of dried ginger. The principal component analysis and correlation analysis revealed that the alterations in ginger quality were intimately related to moisture diffusion during drying.