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Table 4 Univariable analysis results based on characteristic input variables

From: Quantitative analysis of cadmium in rice roots based on LIBS and chemometrics methods

Pretreatment methods

Wavelength (nm)

Model

Determination coefficient

Calibration set

Prediction set

Rc

RMSEC (mg/kg)

Rp

RMSEP (mg/kg)

Raw

214.44

Logarithmic

0.9101

0.8995

68.9

0.9140

64.7

Polynomial

0.9222

0.9116

64.8

0.9248

60.7

226.50

Logarithmic

0.9044

0.8931

70.9

0.9081

66.9

Polynomial

0.9168

0.8996

68.8

0.9160

64.3

228.80

Logarithmic

0.6473

0.6336

122.0

0.6336

124.0

Polynomial

0.6833

0.6800

116.0

0.6290

124.0

214.44 + 226.50

Linear

0.9406

0.9329

56.7

0.9479

54.8

226.50 + 228.80

Linear

0.9712

0.9738

35.8

0.9610

45.9

214.44 + 228.80

Linear

0.9709

0.9734

36.0

0.9614

46.0

214.44 + 226.50 + 228.80

Linear

0.9712

0.9738

35.8

0.9612

45.9

After pretreatment

214.44

Logarithmic

0.9805

0.9622

42.9

0.9566

46.7

Polynomial

0.9922

0.9833

28.7

0.9821

31.1

226.50

Logarithmic

0.9834

0.9683

39.3

0.962

43.9

Polynomial

0.9924

0.9844

27.7

0.9818

31.4

228.80

Logarithmic

0.9759

0.9485

49.9

0.9521

50.8

Polynomial

0.9815

0.9563

46.1

0.9734

42.6

214.44 + 226.50

Linear

0.9922

0.9856

26.7

0.9796

33.2

226.50 + 228.80

Linear

0.9926

0.9868

25.5

0.9793

32.4

214.44 + 228.80

Linear

0.9922

0.9851

27.1

0.9779

33.1

214.44 + 226.50 + 228.80

Linear

0.9929

0.9878

24.5

0.9793

32.6

  1. Bold emphasis: the optimal model for given conditions