Table 1 Microbial composition prediction modeling using net-elastic regression (N = 1800, n = 600)

From: Utilizing drip metabolites and predictive modeling for non-destructive freshness assessment in pork loin

Phylum

Genus

Spearman (rs)

RMSE

Actinomycetota

Microbacterium

0.962

0.1606

Actinomycetota

Kocuria

0.810

0.1403

Pseudomonadota

Enhydrobacter

0.906

0.1552

Pseudomonadota

Pseudomonas

0.959

0.1741

Pseudomonadota

Stenotrophomonas

0.962

0.1606

Pseudomonadota

Acinetobacter

0.959

0.1658

Pseudomonadota

Brevundimonas

0.978

0.1650

Pseudomonadota

Enterobacteriaceae

0.943

0.1797

Bacillota

Streptococcaceae

0.892

0.1824

Bacillota

Brochothrix

0.930

0.1703

Bacillota

Enterococcaceae

0.952

0.1838

Bacillota

Lactobacillaceae

0.940

0.1739

Bacillota

Lactobacillus

0.937

0.1786

Bacillota

Leuconostoc

0.968

0.1890

Bacillota

Lactococcus

0.920

0.1837

Bacillota

Lactobacillales

0.926

0.1735

Bacillota

Enterococcus

0.960

0.1741

  1. RMSE Root Mean Squared Error.
  2. N the total number of samples.
  3. n the number of samples by storage date.