Annual Report of the LaMer Project FY 2018
1. Title:
Utilization of Samples Stored in es-Bank for Assessment of Trace Elements in Fish
Collected from Indian Ocean of Southern Java Waters, Indonesia.
2. Members’ Names and Affiliations:a. Prof. Tatsuya Kunisue, Division of Environmental Chemistry and Ecotoxicology, CMES,
Ehime University, Japan
b. Dr. Muhammad Ilyas, Laboratory for Marine Survey Technology, BPPT, Indonesia
c. Ir. Thomas Hidayat, Ministry for Marine and Fisheries, Indonesia
3. Aim:Utilize samples stored at es-Bank to characterize the level of trace elements in fish andhuman risk assessment through fish consumption from Indian Ocean of Southern Java
Waters, Indonesia
4. Procedure:• Use of fish samples stored at es-Bank for retrospective study of 21 trace elements.
• Samples are specimen of fish collected from Indian Ocean of Southern Java Waters,
Indonesia during 2015 with 97 total number of sample (n= 97), stored in es-Bank at Box
Number 01-641 and Sample ID number as follows: INA-F15-001 (No. 001) to
INA-F15-097
(No.
097).
Samplecanbeaccessedthrough
http://esbank-ehime.com/dnn/.
5. Result:• Samples and Sampling
A total of 97 number of fish samples belong to 30 species and 21 genus of fish from
Indian Ocean of Southern Java Waters, Indonesia during 2015 and stored in es-Bank of
CMES, Ehime University, Japan were used in this study for analyzing of 21 traceelements.
These fish samples were collected by trawl from 5 station trawls using RV. Baruna Jaya
IV belong to Agency for the Assessment and Application of Technology (BPPT),
Indonesia at fisheries management area of Indian Ocean of Southern Java Waters,
Indonesia during 2015 through fish stock assessment project by Ministry of Marine andFisheries, Republic of Indonesia.
•

Chemical Analysis
Twenty one elements (V, Cr, Mn, Co, Cu, Zn, Se, Rb, Sr, Mo, Ag, Cd, In, Sn, Sb, Cs, Ba,
Tl, Hg, Pb and Bi) were analyzed according to the method conducted by Ikemoto et al.
(2004) with slight modification. Briefly, samples were dried at 80°C for 16 h and thenuniformly homogenized into fine powder. Approximately 0.1 g of the dried powder
sample was pre-digested with 3.5 ml of HNO3 at room temperature for overnight andthen digested in a microwave oven with 1.5 ml of concentrated nitric acid. Twenty one
targeted trace elements were then analyzed by using inductively coupled plasma-mass
spectrometer (ICP-MS) and atomic absorption spectrometer (AAS). For elements of V,
Cr, Mn, Co, Cu, Zn, Se, Rb, Sr, Mo, Ag, Cd, In, Sn, Sb, Cs, Ba, Tl, Pb and Bi were
measured by ICP-MS (ICP-MS; HP4500, Hewlett-Packard, Avondale, PA, USA).
Whereas, concentrations of Hg and Se were determined using an AAS (AA680,
Shimadzu, Kyoto, Japan) equipped with a cold vapor system (Model HG-3000, Sanso,
Tsukuba, Japan) and a hydride generation system (Model HFS-3, Hitachi, Tokyo,
Japan), respectively.
Accuracy of the elemental analysis was assessed using a certified standard referencematerial (Oyster tissue, SRM 1566b) provided by the National Institute of Standards andTechnology (NIST; Gaithersburg, MD, USA). The results were in good agreement withthe certified values with recoveries of all the elements ranged from 81–124%.

2 / 10•Results
All trace elements analyzed in this study were determined in the samples (n=97) belong
to 30 species and 21 genus of fish collected from Indian Ocean of Southern Java
Waters, Indonesia during 2015. Figure 1 shows concentration of trace elements (mg/kg
dry wt.) detected in fish of the present study. Nutritional essential metals such as Mg, Fe,
Zn, Mn, Cu were the predominant, whereas metals with no known benefial effects andconsidered toxics were also abundance such as As, Hg, and Sr.

Figure 1. Concentrations of trace elements in fish (n=97) collected from Indian Oceanof Southern Java Waters, Indonesia during 2015.
Table 1. Concentrations of trace elements (mg/kg wet wt.) in fish of the present study
compared to available for guideline standrads in Indonesia. Grey highlighted
values exceed recommendations.

FSA15_ST7

FSA15_ST9

FSA15_ST11

FSA15_ST12

FSA15_ST14

Note:

Concentration (mg/kg wet wt.)n

Moisture
(%)

Cd

Pb

Hg

As

Cu

Zn

Longfin mojarra

10*

77

0,015

nd

1,2

8,4

0,38

15

Goldband goatfish

12*

79

0,034

nd

0,98

9,1

0,77

11

Yellowtail scad

5

74

0,032

0,051

0,21

1,5

0,55

9,3

Shortfin lizardfish

378

0,0035

nd

0,42

2,0

0,46

15

Shrimp

30*

72

0,11

nd

0,82

73

2,0

24

Slender Conger

12*

75

0,081

nd

0,14

15

8,7

49

Red bigeye

14*

76

0,010

nd

0,080

8,0

0,83

12

Common hairfin anchovy

15*

67

0,064

0,418

0,27

2,1

0,96

16

Yellowbelly Goatfish

13*

77

0,020

nd

1,3

7,3

0,91

11

Bali sardinella

8*

77

0,11

nd

0,17

1,6

1,2

22

Largescale tonguesole

379

0,0070

nd

0,27

29

0,49

13

Black pomfret

3

77

0,016

nd

0,032

8,1

0,57

15

Large-scale croaker

3

78

nd

0,070

0,34

13

0,58

12

Shrimp

40*

75

0,023

nd

0,10

18

7,6

45

Slender Grouper

1

71

nd

nd

1,3

0,90

0,40

19

Oranyefin Ponyfish

40*

68

0,14

nd

0,028

1,9

1,0

18

Smalleye Tonguesole

5*

75

nd

0,55

0,15

32

0,54

14

Slender Conger

2*

80

0,031

nd

0,60

84

0,97

19

Yellowbelly Goatfish

8*

75

0,011

nd

1,9

10

0,87

12

Indian Halibut

1

81

nd

nd

0,62

5,6

0,44

12

Japanese Threadfin Bream

4

77

nd

0,13

0,40

13

0,62

13

Roughback sea catfish

3

77

nd

nd

0,84

134

0,58

20

Bigeye Hairtail

3

74

0,0036

0,53

0,29

2,6

0,91

18

Largefin Croaker

5

75

0,005

0,038

0,47

18

0,66

11

Common hairfin anchovy

20*

66

0,059

nd

0,28

2,2

0,90

12

Tardoore

1

72

0,022

0,24

0,37

1,5

0,70

18

Smalleye Tonguesole

4

76

nd

0,13

0,48

28

0,60

16

Shortfin lizardfish

376

0,0086

0,14

0,54

3,0

0,47

14

Coitor croaker

1

72

0,021

0,36

0,44

5,7

0,63

14

Donkey croaker

377

0,0060

0,16

0,092

13,7

0,72

15

Big-head pennah croaker

3

78

0,015

0,078

0,23

5,8

1,0

14

Bigeye Hairtail

4*

75

0,025

nd

0,13

2,3

2,1

25

Yellowbelly Goatfish

5*

75

0,037

nd

0,86

7,9

0,98

12

Coitor croaker

8*

76

0,037

nd

0,49

5,1

0,69

15

Common hairfin anchovy

12*

61

0,082

nd

0,12

2,7

0,73

6,9

Oranyefin Ponyfish

30*

76

0,045

nd

0,29

3,6

0,88

29

Kawakawa

4

72

nd

nd

0,44

3,5

1,4

13

Large-scale croaker

375

0,0041

nd

0,83

18

0,54

12

Concertina fish

3

76

0,014

nd

0,57

2,1

0,66

13

Smalleye Tonguesole

4

79

0,027

0,16

0,31

33

0,59

14

Shortfin lizardfish

276

0,0074

nd

0,12

1,5

0,51

12

Brushtooth lizardfish

377

0,0072

nd

0,12

13

0,55

14

Roughback sea catfish

3

76

0,010

0,10

0,30

56

0,96

19

Bludger

4

73

0,018

nd

0,44

7,4

1,1

13

Blackspotted threadfin

3

76

0,026

nd

0,54

2,1

0,69

11

Guideline*

-

-

0,10

0,30

0,50

1,0

20

100

Station Trawl

Species*Guideline standards proposed by National Standardize Agency and National of Food andDrug Agency of Indonesia.

3 / 10In this study, as shown in Table 1, fish were variably suﬀered of excesses of As, Hg, Cd
and Pb with respect to reference guidelines. The concentration of As (0.90–130 mg/kg
wet wt.) and Hg (0,028-1,9 mg/kg wet wt.) in most cases higher than thresholds values
for maximum limit of metals in fish proposed by National Standardize Agency andNational of Food and Drug Agency of Indonesia. Furthermore, some few fish also
excedeed guideline for Cd and Pb (Table 1).
Table 2. Values of target hazard quotient (THQ), total target hazard quotient (TTHQ)
and lifetime cancer risk (TR) of trace elements calculated for fish of the present
study. Grey highlighted values exceed recommendations.

Note:

THQ= Target Hazard Quation for Non Cancer Risk; TTHQ= Total Target Hazard Quation for Non
Cancer Risk; TTEs= Total Trace Elements; TR= The Life Time Cancer Risk

Furthermore, target hazard quotient (THQ) and lifetime cancer risk (TR) indexes were
calculated to assess cancer and non-cancer risk due to oral exposure based on formulaby USEPA (1989). As shown in Table 2, calculation of target hazard quotient highlighted
potential non-cancer risks associated with Hg, As and Zn exposure derived fromconsumption of ﬁsh from Indian Ocean Southern Java. The highest THQ values referred
to Zn, Hg and As, with values ≥1 in 98%, 95% and 51% of cases, respectively. On theotherhand, cancer risk was mainly associated with As and Cd exposure, where thecalculated TR index resulted in excess in more than 90% and in 80% of cases,
respectively.
•

References
Agusa et al. (2007). Exposure assessment for trace elements from consumption ofmarine fish in Southeast Asia. Environmental Pollution, 145(3), 766-777.
USEPA (1989). Risk Assessment Guidance for Superfund: Human Health Evaluation
Manual (Part A). (Interim Final, December).
National of Food and Drug Agency of Indonesia (2009). Maximum Limit for Microbe andChemical Pollutants in Food by Indonesia. Perka BPOM No HK.00.06.1.52.4011
Year 2009.
National Standardize Agency of Indonesia (2009). Maximum Limit for Heavy Metals inFood by Indonesia. SNI 7387: 2009.

6. Publication/Conference presentation:a. Currently preparing for a scientific paper. A tentative tittle and authorship are as follow:
Sudaryanto, A., Ilyas, M., Itai, T., Tanabe, S., Kunisue, T. Level and Risk Assessmentof Trace Elements in Fish from Indian Ocean of Southern Java Waters, Indonesia, In
Preparation (Scientific Pubication).

4 / 10b. The result finding has been presented as oral presentation in a national scientificconference in Indonesia. Sudaryanto, A., Ilyas, M., Hidayat, T., Satria, F., Itai, T.,
Kunisue, T. 2018. Heavy Metals and Trace Elements in Fish from Indian Ocean ofSouthern Java Waters, Indonesia. 15th Annual Meeting of Indonesian Association for
Oceanology (ISOI) - Pertemuan Ilmiah Nasional Tahunan (PIT) XV ISOI 2018, 1-3
November 2018, Eastparc Hotel, Yogyakarta, Indonesia (Oral Presentation).
7. Perspectives in Future:
a. Elaborate more comprehensive on other contaminants including persistent organic
pollutants (POPs)

5 / 10th(Abstract presented on 15 Annual Meeting of Indonesian Association for Oceanology (ISOI)
2018 - Pertemuan Ilmiah Nasional Tahunan (PIT) XV ISOI 2018, 1-3 November 2018, Eastparc
Hotel, Yogyakarta, Indonesia. Oral Presentation, LaMer Project 2018).

Heavy Metals and Trace Elements in Fish from
Indian Ocean Southern Java Waters
1

1

2

2

Agus Sudaryanto *, Muhammad Ilyas , Thomas Hidayat , Fayakun Satriya ,3
3
Takaaki Itai and Tatsuya Kunisue
1

Balai Teknologi Survei Kelautan, Badan Pengkajian dan Penerapan Teknologi (BPPT),Jl. MH. Thamrin 8, Jakarta, Indonesia
2
Balai Riset Perikanan Laut, Kementerian Kelautan dan Perikanan (KKP),
Jl. Muara Baru Ujung, Komp. Pelabuhan Perikanan, Jakarta, Indonesia
3
Center for Marine Environmental Studies (CMES), Ehime University,
Bunkyo-cho 2-5, Matsuyama 790-8577, Japan*E-mail: agus.sudaryanto@bppt.go.id

Abstract
Heavy metals and trace elements have been released and distibuted widely on the earth bothfrom natural and anthropogenic sources. The anthropogenic activities have contributed tosignificantly increase the amount of these elements into marine ecosystem which is thus ofconcern for environmental health risk. Fish may represent risks for human health since they areoften contaminated by toxic elements from their environment. This study aims to determine andevaluate heavy metals and trace elements in marine fish from Indian Ocean, south of Javawaters. Various fish samples were taken in September 2015 using bottom trawls by RV. Baruna
Jaya IV. A total of 20 trace elements were analyzed from muscle fish using inductively coupledplasma-mass spectrometer (ICP-MS) and atomic absorption spectrometer (AAS) at the Center
for Marine Environmental Studies (CMES), Ehime University, Japan. The levels of elements
were following the order of Fe; As; Zn; Sr; Rb; Mn; Cu; Hg; Pb; Cr; Ba; Ni; V; Cs; Mo; Co; Cd; Tl;
Bi and In, with average and range concentration (in ppm dry weight) of 41(11-144); 22(1.3-210);
20 (11-66); 3,9 (0.49-29); 3.6 (1.4-7.8); 1.6 (0.26-13); 1.2 (0.49-12); 0.56 (0.039-2.6); 0.44(<0.25-1.05); 0.31(0.085-1.3); 0.17(<0.025-0.83); 0.14(<0.050-2.03); 0.13(0.016-0.45); 0,077(0.034-0.15); 0.064(<0.013-0.29); 0.042(0.10-0.11); 0.041(<0.013-0.20); 0.007(<0.003-0.016);
and 0,006(<0.003-0.013), respectively. In particular, some toxic metals were exceeded guideline
for maximum limit such as As (1.0 ppm), Hg (0.50 ppm) and Pb (0.30) in fish proposed by
National Standardize Agency and National of Food and Drug Agency. As for Cd, Cu and Zn werestill bellow the guideline, while other elements are non-toxic.
Keywords: Contamination, heavy metals, trace elements, fish, Indian Ocean, health riskthOral Presentation of the LaMer Project result at 15 Annual Meeting of Indonesian Association
for Oceanology (ISOI) 2018 - Pertemuan Ilmiah Nasional Tahunan (PIT) XV ISOI 2018, 1-3
November 2018, Eastparc Hotel, Yogyakarta, Indonesia.

6 / 10Collaboration by using storage samples inenvironmental specimen Bank (es-Bank)
Kind of samples used
Samples are fish samples collected from Indian Ocean of Southern Java Waters, Indonesia
during 2015 with total of 97 number of sample (n= 97). The samples are stored in es-Bank at
Box Number 01-641 (http://esbank-ehime.com/dnn/) and Sample ID number as follows:
Fish sample used and their Sample ID stored in es-BankNo

Sample ID

No

Sample ID

No

Sample ID

1

INA-F15-001

34

INA-F15-034

66

INA-F15-066

2

INA-F15-002

35

INA-F15-035

67

INA-F15-067

3

INA-F15-003

36

INA-F15-036

68

INA-F15-068

4INA-F15-004

37

INA-F15-037

69

INA-F15-069

5INA-F15-005

38

INA-F15-038

70

INA-F15-070

6

INA-F15-006

39

INA-F15-039

71

INA-F15-071

7

INA-F15-007

40

INA-F15-040

72

INA-F15-072

8

INA-F15-008

41

INA-F15-041

73

INA-F15-073

9

INA-F15-009

42

INA-F15-042

74

INA-F15-074

10

INA-F15-010

43

INA-F15-043

75

INA-F15-075

11

INA-F15-011

44

INA-F15-044

76

INA-F15-076

12

INA-F15-012

45

INA-F15-045

77

INA-F15-077

13

INA-F15-013

46

INA-F15-046

78

INA-F15-078

14

INA-F15-014

47

INA-F15-047

79

INA-F15-079

15

INA-F15-015

48

INA-F15-048

80

INA-F15-080

16

INA-F15-016

49

INA-F15-049

81

INA-F15-081

17

INA-F15-017

50

INA-F15-050

82

INA-F15-082

18

INA-F15-018

51

INA-F15-051

83

INA-F15-083

19

INA-F15-019

52

INA-F15-052

84

INA-F15-084

20

INA-F15-020

53

INA-F15-053

85

INA-F15-085

21

INA-F15-021

54

INA-F15-054

86

INA-F15-086

22

INA-F15-022

55

INA-F15-055

87

INA-F15-087

23

INA-F15-023

56

INA-F15-056

88

INA-F15-088

24

INA-F15-024

57

INA-F15-057

89

INA-F15-089

25

INA-F15-025

58

INA-F15-058

90

INA-F15-090

26

INA-F15-026

59

INA-F15-059

91

INA-F15-091

27

INA-F15-027

60

INA-F15-060

92

INA-F15-092

28

INA-F15-028

61

INA-F15-061

93

INA-F15-093

29

INA-F15-029

62

INA-F15-062

94

INA-F15-094

30

INA-F15-030

63

INA-F15-063

95

INA-F15-095

31

INA-F15-031

64

INA-F15-064

96

INA-F15-096

32

INA-F15-032

65

INA-F15-065

97

INA-F15-097

33

INA-F15-033*Detail samples can be seen at http://esbank-ehime.com/dnn/

Date of Received the samples from es-BANK.
Samples of fish used in this study were received from es-Bank between the period of 31 May
2017 and 1 January 2018. Detail date of received the samples from es-Bank as below.

7 / 10Date of received the samples from es-Bank.
No

Sample ID

SampleDate of Sample Received from es-BANK

1

INA-F15-001

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

2

INA-F15-002

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

3

INA-F15-003

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

4

INA-F15-004

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

5

INA-F15-005

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

6

INA-F15-006

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

7

INA-F15-007

Fish

2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

8

INA-F15-008

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

9

INA-F15-009

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

10

INA-F15-010

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

11

INA-F15-011

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

12

INA-F15-012

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

13

INA-F15-013

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

14

INA-F15-014

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

15

INA-F15-015

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

16

INA-F15-016

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

17

INA-F15-017

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

18

INA-F15-018

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

19

INA-F15-019

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

20

INA-F15-020

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

21

INA-F15-021

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

22

INA-F15-022

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

23

INA-F15-023

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

24

INA-F15-024

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

25

INA-F15-025

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

26

INA-F15-026

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

27

INA-F15-027

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

28

INA-F15-028

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

29

INA-F15-029

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

30

INA-F15-030

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

31

INA-F15-031

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

32

INA-F15-032

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

33

INA-F15-033

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

34

INA-F15-034

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

35

INA-F15-035

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

36

INA-F15-036

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

37

INA-F15-037

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

38

INA-F15-038

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

39

INA-F15-039

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

40

INA-F15-040

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

41

INA-F15-041

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

8 / 1042

INA-F15-042

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

43

INA-F15-043

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

44

INA-F15-044

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

45

INA-F15-045

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

46

INA-F15-046

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

47

INA-F15-047

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

48

INA-F15-048

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

49

INA-F15-049

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

50

INA-F15-050

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

51

INA-F15-051

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

52

INA-F15-052

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

53

INA-F15-053

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

54

INA-F15-054

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

55

INA-F15-055

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

56

INA-F15-056

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

57

INA-F15-057

Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

58

INA-F15-058

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59

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60

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62

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63

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64

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65

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66

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67

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68

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69

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70

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71

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72

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73

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74

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75

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77

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78

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79

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80

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

81

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82

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

83

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88

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89

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

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91

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

92

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

93

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

94

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

95

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Fish2017/5/31, 2017/7/4, 2017/11/30, 2018/1/23

96

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