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. 2018 Jul 27;6(6):1692–1705. doi: 10.1002/fsn3.737

Table 7.

Individually quick frozen processed fish equations that predict sensory texture from texture profile analysis (TPA) attributes

Sensory attribute Intercept TPA Predictor variable and coefficients RMSE R 2 R
Cohesiveness of mass 1.909 0.0043(H1)+6.512(Co) −0.00004(H1 × H1)+315.4(Co × Co) 0.698 0.094 0.307
Fibrous 4.188 0.0162b(H1) −0.0279(C1) −0.0003a(H1 × H1)+0.0015b(C1 × C1) 0.708 0.160 0.400
Firmness 2.566 0.0138(H2) −0.0128(C2) −0.0006(H2 × H2)+0.0013(H2 × C2) 0.866 0.102 0.319
Flaky 6.239 −0.0192(H1b)+0.0272(C1b)+0.00006(H1b × H1b) 0.862 0.124 0.352
Moisture release 5.577 23.32a(Cor)+274.3(Cor × Cor) 1.050 0.141 0.375
Moisture retention No correlations
Springiness 1.284 0.0122a(H1br) 0.800 0.117 0.342
Residual cohesiveness of mass 0.0936 0.0160b(C1r) 0.704 0.069 0.263
Residual firmness 1.589 −0.0761(R)+0.0761a(C1r)+0.0047(R × C1r) 0.863 0.100 0.316
Residual flaky −1.065 −0.0093(H1br)+0.1168(R) −0.0075(R × R) 0.842 0.141 0.375

Notes. TPA variables are abbreviated as: C1, Chewiness‐1; C1b, Chewiness‐1b; C1r, Residual Chewiness‐1; C2, Chewiness‐2; Co, Cohesiveness; Cor, Residual Cohesiveness; H1, Hardness‐1; H1b, Hardness‐1b; H1br, Residual Hardness‐1b; H2, Hardness‐2; R, Resilience.

a,bindicates that the coefficient have a probability of 0.01 and 0.05, respectively.