To
develop sophisticated approaches for distinguishing goji origins,
325 wolfberry fruit samples of a certain cultivar, plant age, drying
method, and collection season were gathered from 26 producing areas
across Northwest China in 2017 and 2018. We employed 49 indices, including
stable isotopes, earth elements, soluble amino acids, and saccharides,
to identify the regions of origin of these goji fruits. Analysis of
variance (ANOVA) and heritability analysis were used to assess the
effects of the environment (producing areas), cultivar, plant age,
drying process, and collection season. Samples from the same place
can be classified and partially discriminated using principal component
analysis (PCA). We were able to distinguish fruits produced in Zhongning
County from those produced in the other five producing provinces using
orthogonal projection to latent structure-discriminant analysis (OPLS-DA).
Calcium (Ca), manganese (Mn), ornithine (Orn), cystine (Cys-Cys),
glutamate (Glu), phenylalanine (Phe), phosphoserine (Ps), serine (Ser),
lysine (Lys), taurine (Tau), proline (Pro), and tyrosine (Tyr) indices
were chosen using S-plots and heritability analysis, and their repeatability
was established with samples collected in 2018. The indices selected
in this study can distinguish goji berries produced in Zhongning County
from fruits originating from five other Provinces with high repeatability,
which was validated with various cultivars, drying methods, harvest
seasons, and plant ages and with heritability analysis.