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Table 3 Predictive results of samples using RGB color model after normalization

From: Investigation into the predictive performance of colorimetric sensor strips using RGB, CMYK, HSV, and CIELAB coupled with various data preprocessing methods: a case study on an analysis of water quality parameters

 

Mn2+ (ppm)

Fe2+/Fe3+ (ppm)

Sample

[Spiked sample]

RGB + normalization

%Recovery

[Spiked sample]

RGB + normalization

%Recovery

W1

40

39.85 ± 1.91

95–104

40

57.82 ± 3.39

136–153

W2

40

31.74 ± 1.28

76–82

40

65.09 ± 2.78

156–170

W3

40

35.31 ± 7.05

71–106

40

61.30 ± 4.22

143–164

W4

40

40.45 ± 0.56

100–103

40

67.24 ± 3.19

160–176

 

Cu2+ (ppm)

NO3- (ppm)

Sample

[Spiked sample]

RGB + normalization

%Recovery

[Spiked sample]

RGB + normalization

%Recovery

W1

150

160.27 ± 6.87

102–111

250

292.47 ± 33.37

104–130

W2

150

147.98 ± 4.89

95–102

250

297.02 ± 24.57

109–129

W3

150

150.93 ± 3.42

98–103

250

286.75 ± 16.77

108–121

W4

150

152.57 ± 10.15

95–108

250

260.39 ± 23.95

95–114

 

PO43- (ppm)

SO42- (ppm)

Sample

[Spiked sample]

RGB + normalization

%Recovery

[Spiked sample]

RGB + normalization

%Recovery

W1

40

41.51 ± 3.06

77–89

800

813.24 ± 180.29

79–124

W2

40

59.79 ± 1.39

106–112

800

860.69 ± 108.44

94–121

W3

40

35.14 ± 1.83

67–74

800

848.61 ± 60.37

98–113

W4

40

36.94 ± 3.07

68–80

800

932.06 ± 13.90

115–118

 

Total hardness (CaCO3, ppm)

pH

Sample

[Sample]

RGB + normalization

%Error

pH

RGB + normalization

%Error

W1

93.3

62.82 ± 19.96

11–54

7.43

7.06 ± 0.11

3–6

W2

189.3

183.95 ± 18.25

7–12

7.96

6.11 ± 0.13

22–25

W3

85.3

61.03 ± 18.25

7–5

7.32

7.84 ± 0.07

8–6

W4

24

16.90 ± 26.97

83–142

7.32

6.72 ± 0.33

4–13