食品科学 ›› 2022, Vol. 43 ›› Issue (19): 48-57.doi: 10.7506/spkx1002-6630-20210726-297

• 基础研究 • 上一篇    下一篇

偏最小二乘回归法分析藏鸡胸肉质地特性

张晓倩,孙悦,池福敏,刘磊,王鹏,徐幸莲   

  1. (1.南京农业大学食品科学技术学院,国家肉品质量安全控制工程技术研究中心,江苏 南京 210095;2.西藏农牧学院食品科学学院,西藏 林芝 860000)
  • 出版日期:2022-10-15 发布日期:2022-10-26
  • 基金资助:
    中央高校基本科研业务费专项资金项目(KYYZ202005;766660015);现代农业产业技术体系建设专项(CARS-41)

Partial Least Squares Regression for Studying the Texture Characteristics of Tibetan Chicken Breast Meat

ZHANG Xiaoqian, SUN Yue, CHI Fumin, LIU Lei, WANG Peng, XU Xinglian   

  1. (1. National Center of Meat Quality and Safety Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; 2. College of Food Science, Tibet Agricultural and Animal Husbandry University, Nyingchi 860000, China)
  • Online:2022-10-15 Published:2022-10-26

摘要: 为揭示藏鸡肉独特的质地特性,探寻鸡胸肉质地特性与其化学成分和微观结构的关联性,本研究对5 种不同的鸡肉原料(藏鸡、与藏鸡同日龄或体质量接近的雪山草鸡、淘汰蛋鸡(对照)和白羽肉鸡(对照))进行剪切力、质地剖面分析(texture profile analysis,TPA)和应力松弛特性测定,并将上述质地特性分析结果和鸡肉的基本化学指标(水分质量分数、粗脂肪质量分数、粗蛋白质量分数、胶原蛋白质量分数、pH值)、组织学特征(肌纤维直径和密度)进行关联性分析,利用偏最小二乘回归(partial least squares regression,PLSR)法揭示影响鸡肉质地特征的显著因素。结果发现,利用PLSR能够将多个与肌肉质地特性相关的化学指标量化为鸡肉品质综合评价指标,其中剪切力的预测模型更适合预测鸡肉的质地特性。该模型的R2X为0.621,R2Y为0.739,模型拟合效果较好。Q2cum在0.6以上,说明该模型的可预测性能够被接受。载荷图显示剪切力与pH值、总胶原蛋白质量分数和肌纤维直径呈显著正相关(P<0.05),而与粗脂肪质量分数、可溶性胶原蛋白质量分数、胶原蛋白溶解性和肌纤维密度呈显著负相关(P<0.05)。贡献度评价结果显示,胶原蛋白溶解性、肌纤维密度、可溶性胶原蛋白质量分数和肌纤维直径4 个指标均在模型中贡献显著。本研究可为从质地特性角度揭示藏鸡胸肉特有“咀嚼感”提供数据支持,并为丰富肉的力学特性研究提供一定的理论参考。

关键词: 藏鸡;嫩度;质构;偏最小二乘回归

Abstract: In order to reveal the unique texture characteristics of Tibetan chicken breast meat and their correlation with chemical composition and microstructure, this study tested the shear force, texture profile analysis (TPA) parameters and stress relaxation characteristics of breast meat from Tibetan chicken, and Xueshan chicken, spent hen and white feathered broilers with the same age or body mass as Tibetan chicken, and it also analyzed the correlation between the texture properties and chemical properties (moisture content, fat content, protein content, collagen content, and pH) as well as histological characteristics (muscle fiber diameter and density). Meanwhile, partial least squares regression (PLSR) was used to explore the significant factors that affect the texture characteristics of chicken meat. Our results indicated that PLSR could quantify various chemical indices related to chicken meat texture as comprehensive quality indices. Shear force was more suitable to establish a model to predict chicken meat texture properties. The R2X and R2Y of the proposed model were 0.621 and 0.739, respectively, suggesting good fitness. The Q2cum of the model was above 0.6, showing acceptable prediction accuracy. The loading plot showed that shear force was positively correlated with pH, total collagen content and muscle fiber diameter significantly (P < 0.05), but was negatively correlated with fat content, muscle fiber density, soluble collagen content and collagen solubility significantly (P < 0.05). Collagen solubility, muscle fiber density, soluble collagen content and muscle fiber diameter all contributed significantly to the model. These findings provide data support for revealing the unique “chewiness” of Tibetan chicken meat from the perspective of its texture, and a theoretical basis to enrich research on meat mechanical properties.

Key words: Tibetan chicken; tenderness; texture; partial least squares regression

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