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Optimization of Texture Determination of ‘Yali' by Texture Analyzer 被引量:2
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作者 Jintao XU Lijuan GAO +3 位作者 Longfei LI Hai'e ZHANG Wenquan LE Baofeng HAO 《Agricultural Biotechnology》 CAS 2018年第4期125-128,135,共5页
[Objectives] This study was carried out to determine texture parameters for texture profile analysis (TPA), and optimize the texture determination of ‘Yali’ by texture analyzer.[Methods] The traditional varieties ... [Objectives] This study was carried out to determine texture parameters for texture profile analysis (TPA), and optimize the texture determination of ‘Yali’ by texture analyzer.[Methods] The traditional varieties of ‘Yali’ were taken as the materials, and texture parameters were determined at different compression rates and deformations at target.[Results] In the process of the TPA, the deformation at target had an extremely significant influence on 8 TPA texture parameters, namely, the hardness, cohesiveness, springiness, adhesiveness, gumminess, resilience, fracturability, and chewiness ( P ≤0.01), while the compression rate had significant influence on the hardness and gumminess ( P ≤0.05), had an extremely significant influence on fracturability ( P ≤0.01), and had no significant influence on other 5 TPA parameters.[Conclusions] Taking the compression rate of 1 mm/s and 20% deformation at target as the experimental conditions for TPA could avoid the impact load of high speed on the tissue and objectively reflect the textural characteristics of ‘Yali’ pulp tissue. 展开更多
关键词 texture profile analysis (TPA) 'Yali' texture parameters optimization of texture determination
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