Novel ultrasonic-assisted vacuum drying technique for dehydrating garlic slices and predicting the quality properties by low field nuclear magnetic resonance

被引:75
作者
Chen, Yannan [1 ,2 ]
Li, Meng [2 ]
Dharmasiri, Thasmi Shashikala Kumari [3 ]
Song, Xiangyun [1 ]
Liu, Feng [1 ]
Wang, Xiao [1 ,2 ]
机构
[1] Qilu Univ Technol, Shandong Anal & Test Ctr, Key Lab TCM Qual Control Technol, Shandong Acad Sci, Jinan 250014, Shandong, Peoples R China
[2] Shandong Agr Univ, Coll Food Sci & Engn, Tai An 270018, Shandong, Peoples R China
[3] Univ Ruhuna, Fac Sci, Matara 81000, Sri Lanka
关键词
Garlic slices; Dehydration; Ultrasound; Vacuum; LF-NMR; PLSR; ALLIUM-SATIVUM L; LF-NMR; IMPLEMENTING ULTRASOUND; OSMOTIC DEHYDRATION; WATER DISTRIBUTION; MICROWAVE; ALLICIN; DETERIORATION; PRETREATMENT; RELAXATION;
D O I
10.1016/j.foodchem.2019.125625
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
A novel ultrasonic-assisted vacuum drying technique for dehydrating garlic slices to give high quality products was developed. Garlic slices were dried at 60 degrees C using four methods: ultrasonic-assisted vacuum drying (USVD), vacuum drying (VD), ultrasonic-assisted drying (USD), and convective drying (CD, the control with no vacuum or ultrasonic applied). Drying kinetics, water-content changes, and properties of the garlic slices were assessed. Univariate linear and partial-least-squares regression models were used to predict the properties from low-field nuclear magnetic resonance parameters. USVD gave the shortest drying time (180 min less than CD) and provided a better garlic color and texture, and allicin retention rate than the other methods. Higher correlations between low-field nuclear magnetic resonance parameters and quality properties were found by partial-leastsquares regression (PLSR) than by univariate analysis, with the analysis results being credible. Overall, ultrasonic-assisted vacuum drying produced high-quality products with its properties predicted well by low-field nuclear magnetic resonance.
引用
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页数:7
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