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κ-卡拉胶比例对明胶凝胶体系凝胶特性、水分分布及微观结构的影响 被引量:17
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作者 郭琦 王欣 刘宝林 《食品与发酵工业》 CAS CSCD 北大核心 2019年第9期81-88,共8页
论文采用质地剖面(texture profile analysis,TPA)/穿刺分析、低场核磁场共振(low-field nuclear magnetic resonance,LF-NMR)、计算机断层扫描技术(computed tomography,CT)和流变仪研究了κ-卡拉胶的比例对明胶凝胶的凝胶强度、质构... 论文采用质地剖面(texture profile analysis,TPA)/穿刺分析、低场核磁场共振(low-field nuclear magnetic resonance,LF-NMR)、计算机断层扫描技术(computed tomography,CT)和流变仪研究了κ-卡拉胶的比例对明胶凝胶的凝胶强度、质构特性、水分分布、动态黏弹性和微观结构的影响,并分析了几者之间的相关性。结果表明:随κ-卡拉胶比例的增加,混合凝胶体系的凝胶强度、硬度、咀嚼性、胶凝温度及熔化温度相对增大,弹性及内聚性降低,黏性和回复性先下降后上升;凝胶网络结构趋向于致密、均匀;结合水比例(S_(21))下降,不易流动水比例(S_(22))相对增加,且当体系中κ-卡拉胶的比例逐渐增加至50%时,单组份弛豫时间(T_(2W))及不易流动水的弛豫时间(T_(22))的减小较为明显,而结合水的弛豫时间(T21)变化相对较小;相关性分析表明,凝胶强度、硬度、咀嚼性与S_(21)负相关,与S_(22)、T21正相关。弹性与S_(21)、T_(22)和T_(2W)正相关,与S_(22)负相关。内聚性与T_(22)和T_(2W)正相关。研究可为明胶-κ-卡拉胶复配胶在食品中的应用提供理论支持。 展开更多
关键词 Κ-卡拉胶 明胶 低场核磁共振(low field nuclear magnetic resonance lf-nmr) 凝胶强度 质构特性 微观结构
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Simultaneous Determination of Oil and Water in Soybean by LF-NMR Relaxometry and Chemometrics 被引量:2
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作者 WU Jing LI Yanru GAO Xingsheng 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 2016年第5期731-735,共5页
A fast, non-destructive and eco-friendly method was developed to simultaneously determine the oil and water contents of soybean based on low field nuclear magnetic resonance(LF-NMR) relaxometry combined with chemome... A fast, non-destructive and eco-friendly method was developed to simultaneously determine the oil and water contents of soybean based on low field nuclear magnetic resonance(LF-NMR) relaxometry combined with chemometrics, such as partial least squares regression(PLSR). The Carr-Purcell-Meiboom-Gill(CPMG) magnetiza- tion decay data of ten soybean samples were acquired by LF-NMR and directly applied to the PLSR analysis. Cali- bration models were established via PLSR with full cross-validation based on the reference values obtained by the Soxhlet extraction method for measuring oil and oven-drying method for measuring water. The results indicate that the calibration models are satisfactory for both oil and water determinations; the root mean squared errors of cross-validation(RMSECV) for oil and water are 0.2285% and 0.0178%, respectively. Furthermore, the oil and water contents in unknown soybean samples were predicted by the PLSR models and the results were compared with the reference values. The relative errors of the predicted oil and water contents were in ranges of 1.25%---4.96% and 0.44%--2.49%, respectively. These results demonstrate that the combination of LF-NMR relaxometry with chemo- metrics shows great potential for the simultaneous determination of contents of oil and water in soybean with high accuracy. 展开更多
关键词 low field nuclear magnetic resonancelf-nmr SOYBEAN Oil content Water content Partial leastsquares regression(PLSR)
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