Qing Gao,Zerui Ou,Xiangze Jia,Shahid Ahmed Junejo,Bin Zhang,Qiang Huang
Despite the good biological and antibacterial activities, the p-anisaldehyde is easy to evaporate or degrade during processing and storage. Herein, a new V -type starch-cyclodextrin composite carrier was constructed to efficiently encapsulate p-anisaldehyde in addressing the inherent disadvantages. The introduction of β-cyclodextrin (β-CD) enhanced the short- and long-range ordered structures of the composite carrier. The V -type starch-cyclodextrin composite ( V C30) exhibited the highest loading capacity of 142.01 mg/g for p-anisaldehyde, which was significantly higher than that of V -type starch (VS, 97.83 mg/g) and commercial β-CD (128.48 mg/g). The loading capacity of the V-type starch-cyclodextrin composite was positively correlated with its crystallinity and short-range order. The release rate of p-anisaldehyde was in the order of VC30 < β-CD < VS. Under non-cold chain daily storage (25 °C and 57 % relative humidity) for 2 weeks, the p-anisaldehyde of thymol released from complexes was 36 % (VC30), 49 % (β-CD), and 65 % (VS), respectively. Due to the high loading capacity and good sustained release properties, the noncontact preservation of high-value fruit by V C30 controlling p-anisaldehyde release successfully extended the shelf life of cherries from six to twelve days.
Honglei Mu,Haiyan Gao,Hangjun Chen,Xiangjun Fang,Yongjun Zhou,Weijie Wu,Qiang Han
Walnut ( Carya cathayensis Sarg.) oil contains over 85% unsaturated fatty acids, which are easily oxidized during storage. As a result, a large number of volatile oxidation compounds (VOCs) are formed during oxidation. The qualitative composition of VOCs in walnut oil and quantitative prediction of the oxidation parameters (peroxide value [POV], acid value [AV], and p -anisidine value [ p -AnV]) by VOCs are investigated through SPME/GC-MS combined with partial least-squares (PLS) regression analysis. Eighteen VOCs including aldehydes, alcohols, and acids are detected by SPME/GC-MS. According to the comprehensive scores of principal component analysis (PCA), 2-octenal, hexanal, 2-heptenal, 1-octen-3-ol, hexanoic acid, and nonanal are the main products formed during oxidation. Then PLS regression is applied to developing quantitative prediction models of oxidation parameters (POV, AV, and p -AnV) by VOCs. The PLS prediction models have a good performance, with determination coefficients (R 2 p ) of 0.993–0.997 for the prediction sets of the three oxidation parameters. Practical Applications : The quantitative relationship between VOCs and oxidation parameters is developed in this study, which provided a new method for monitoring the quality of walnut oil. The SPME/GC-MS combined with PLSR is a feasible and potential method for simultaneous qualitative and quantitative analysis of oxidation process. This method is proven to have a precise predictive ability and provided a potential application in the quality assessment of other nut products. Volatile oxidation compounds (VOCs) are detected by SPME/GC-MS in oxidized walnut ( Carya cathayensis Sarg.) oil. Following this determination, partial least-squares regression (PLSR) is applied to developing quantitative prediction models of oxidation parameters by VOCs.
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