Quality Control of Mutton by Using Volatile Compound Fingerprinting Techniques and Chemometric Methods

Table 2

Discriminant data for calibration set of mutton samples, fraud mutton samples, and other meat samples by PLS-DA model.

Sample	Prediction	Deviation
M1	0.806	0.091
M2	0.719	0.077
M3	1.034	0.152
M4	0.814	0.090
M5	0.817	0.088
M6	1.116	0.266
M7	0.887	0.083
M8	0.926	0.083
M9	0.856	0.078
M10	1.035	0.089
M11	0.904	0.089
M12	1.069	0.107
M13	1.028	0.108
M14	0.881	0.090
M15	0.947	0.077
M16	0.747	0.070
M17	0.841	0.115
M18	0.962	0.138
M19	0.797	0.113
M20	0.640	0.067
M21	1.113	0.119
M22	1.297	0.165
M23	1.247	0.150
M24	1.042	0.215
M25	0.837	0.077
B1	−0.053	0.156
B2	−0.039	0.145
B3	−0.135	0.174
B4	−0.122	0.177
B5	−0.069	0.152
C1	−0.003	0.252
C2	0.059	0.264
C3	−0.053	0.261
C4	−0.145	0.196
C5	0.078	0.293
P1	0.138	0.148
P2	0.134	0.157
P3	0.138	0.218
P4	−0.020	0.194
P5	0.030	0.207
H1	0.013	0.274
H2	0.063	0.293
H3	0.134	0.298
H4	0.027	0.273
H5	0.037	0.350
D1	0.003	0.208
D2	−0.015	0.298
D3	−0.101	0.269
D4	−0.183	0.209
D5	−0.077	0.276
F1	0.473	0.142
F2	0.464	0.145
F3	0.396	0.307
F4	0.189	0.196
F5	0.276	0.133

The labels of the samples correspond to the code in Figure 4.