Open Access

Trace elements in native and improved paddy rice from different climatic regions of Sri Lanka: implications for public health

SpringerPlus20165:1864

https://doi.org/10.1186/s40064-016-3547-9

Received: 18 June 2016

Accepted: 13 October 2016

Published: 24 October 2016

Abstract

Background

Samples of 226 new improved and 21 indigenous rice (Oryza sativa L.) varieties were collected from the rice fields in three climatic zones of Sri Lanka and concentrations of 18 trace elements (Li, B, Al, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr, Mo, Cd, Ba, Pb and Bi) were measured giving particular emphasis on Se, Cd and As using ICP-MS. The two way multivariate analysis of variance (MANOVA) method was employed to identify the differences in composition among rice from different climatic zones.

Results

The mean values obtained for both white and red rice were Se (36; 25 µg/kg), As (42; 45 µg/kg) and Cd (70; 123 µg/kg) on dry weight basis. However mean content of Se, As and Cd of native rice varieties were 69, 74 and 33 µg/kg, respectively. Statistical interpretations showed that in the majority of cases, there was a significant difference in Cd content among climatic zones whereas Se and Pb show differences between white and red rice varieties. Arsenic did not indicate any significant difference either between rice types or among climatic regions. Notably Se and As contents in indigenous rice were higher than that of improved rice types. To assess the safety of dietary of intake, daily intake of Se, Cd and As by rice were calculated. Non-gender specific Estimated Daily Intake (EDI) of Se, Cd and As consuming improved rice are 9.31, 24.1 and 12.2 µg day−1, respectively.

Conclusions

Since over 50 % of daily meals of people contain rice or rice based products, Se intake is expected to be deficient among the Sri Lankan population.

Keywords

Paddy soilsIndigenous riceICP-MSSelenium deficiencyChronic kidney disease of uncertain aetiology (CKDu)

Background

Paddy rice (Oryza sativa L.) is the second most important staple food for over half of the world’s population and also cultivated throughout all countries (Muthayya et al. 2014). 30 % of the dietary energy supply and 20 % dietary protein intake in Asia are provided by rice (WHO/FAO 2002). However, it is well-known that rice invariably contains significant amounts of trace elements that accumulate through the environmental food chain (Watanabe et al. 1996). Although trace elements in rice are found usually in low quantities, due to application of agrochemicals and irrigation of paddy fields with contaminated water, contents could considerably elevated. For instance, significantly higher amounts of Cd, Pb and As were reported in rice grains from contaminated areas and even from some non-polluted regions (Meharg et al. 2009, 2013; Watanabe et al. 1996). Exposure to such toxic trace elements through food chains could cause an adverse impact on human health leading to certain chronic diseases. Hence serious concerns over heavy metal accumulation in the soil-rice plant system have been addressed in recent years (Gupta and Gupta 1998; Fu et al. 2008; Zhu et al. 2008). In certain regions of Asia, elevated levels of toxic trace elements such as Cd and As in rice were reported. For instance elevated Cd in rice were reported in Bangladesh and Sri Lanka (Meharg et al. 2013) and also in few other Asian countries (Watanabe et al. 1996) while arsenic contaminated rice was reported in Bangladesh (Das et al. 2004; Abedin et al. 2002; Meharg and Rahman 2003).

Trace elements such as Se, Mo, Cr, Mn, Fe, Co, Cu, Zn are well-known as micronutrients that help in the proper functioning of human biological systems, while non-essential elements such as Pb, As, Cd, Hg do not have any clear physiological functions (Underwood 1979; Dissanayake and Chandrajith 1999). From among essential elements, Se plays a great role in human organisms by contributing large number of biological functions mainly enzymatic roles as an antioxidant and as a catalyst for thyroid hormone production. (Rayman 2000; Beckett and Arthur 2005; Sun et al. 2014). Selenium also plays a dual role as an essential micro-nutrient and as a toxic element with a narrow range between the edges of the supply spectrum (Fordyce et al. 2000; Tan et al. 2002). In Asia, most of the human Se requirement is supplied via cereals such as rice but supplementation is considerably low causing serious health problems (Williams et al. 2009). Therefore assessing Se levels in rice is extremely important since the majority of Se requirement is supplied from rice.

Similar to other counties in Asia, rice is the staple food in Sri Lanka and is deeply embedded with its economy, traditions and culture. Rice is grown in the entire island which is characterized with variable climate and geography. It is estimated that nearly 34 % (0.77 million ha) of the total cultivated areas in Sri Lanka have been used for rice cultivations from which over 95 % of the domestic requirement is fulfilled (DOASL 2015). Both rain-fed and irrigated rice paddies are common in Sri Lanka which is characterized by three distinct climatic zones known as the wet, intermediate and dry zones (Fig. 1). The wet zone receives over 2500 mm annual rainfall while the dry zone receives about 1000 mm of annual rain. The intermediate zone with about 1500 mm annual rain is located in between wet and dry zones (Domrös 1979). Monsoonal rainfalls from north-east (NE) and south-west (SW) of the island control the spatial variability of the climate of Sri Lanka. The wet zone rice cultivation is mainly rain fed, but due to scarcity of water, cascading system of reservoirs and canal irrigations (Panabokke et al. 2002; Mahatantila et al. 2008) are used for the paddy cultivation in the intermediate and dry zone regions.
Fig. 1

Sampling locations of rice from Sri Lanka with respect to climatic zones

In recent years, wide attention was paid to the quality of drinking water and food in Sri Lanka due to the emergence of geographically distributed health issues. As a tropical island, Sri Lanka is strongly interlinked between geographically distributed endemic health issues and environmental factors (Dissanayake and Chandrajith 2007, 1999). Among such health incidences, Chronic Kidney Disease of uncertain aetiology (CKDu) that is prevalent in the dry zone areas of Sri Lanka has received wide attention (Athuraliya et al. 2011; Chandrajith et al. 2011). The histopathological investigations on CKDu suggested an involvement of a possible environmental nephrotoxin (Athuraliya et al. 2011; Nanayakkara et al. 2012). Recent studies indicated high levels of toxic elements such as Cd (Meharg et al. 2013) and As (Jayasumana et al. 2013) in rice that was attributed to the aetiology of endemic CKDu in Sri Lanka. Jayatilake et al. (2013) inferred a possible link between deficiency of selenium and incidence of CKDu. Rice grains can be contaminated with toxic elements resulting from agrogenic processes such as extensive use of fertilizers and pesticides that are common in contemporary rice field agriculture in Sri Lanka. In tropical Sri Lanka, different new improved varieties of genotype Indica rice are widely cultivated and are more popular among farmers due to more economic benefits with higher yield, drought and flood tolerance and disease resistance. It was reported that over 2000 rice varieties were cultivated in Sri Lanka, but only a few are now widespread (Paroda 1999; Kennedy and Burlingame 2003). At present, several white and red types of improved rice types are widely cultivated in Sri Lanka (DOASL 2015). About 16 native varieties of rice are also grown in isolated paddy fields by mostly adapting organic agriculture practices. Therefore, the main objective of this study was to assess the levels of toxic trace elements in rice produced in Sri Lanka giving particular emphasis to Se, As and Cd since these elements were considered as important causative agents of CKDu. The toxic trace element levels were compared between different rice types (white and red) and their geographic locations in respect to the climatic zones.

Methods

A total of 226 samples of new improved rice and 21 samples of native rice varieties were collected, covering most parts of the rice growing regions in Sri Lanka (Fig. 1). From new improved rice samples, 163 samples were white rice and 81 samples from wet zone, 70 from intermediate zone and 75 from dry zone were collected. However almost all traditional varieties were obtained from wet zone paddies. Samples of rice seeds were directly collected from paddy fields and stored in zip-lock bags. Seeds were then dried at 40 °C to remove moisture and de-husked to separate grains that were finely powdered using an agate mortar and pestle. Samples were dried for a few hours at 60 °C and were stored at 4 °C in screw-capped plastic containers. About 0.50 g of the subsamples were digested using Mars-6 microwave digester (CEM; Matthews, NC) equipped with EasyPrep Plus high pressure vessels. Digestion was performed with 10 mL HNO3 (≥69.0 % TraceSelect; Fluka, Switzerland) and 1 mL of H2O2 (35 wt. %; Sigma-Aldrich, Germany) and diluted to 50 ml using ultra-pure water. Concentration of trace elements Li, B, Al, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Sr, Mo, Cd, Ba, Pb and Bi were determined using Thermo ICapQ (Thermo-Fisher Scientific Inc., Bremen, Germany) Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Multi-element ICP-MS standards (Sigma-Aldrich, Germany) were used for the instrumental calibration and 103Rh was used as the internal calibration standard. All measurements were done at least in duplicates and analytical results were expressed on dry matter basis. The NIST 1568a rice flour reference (National Institute of Standard Technology; MD, USA) material was used to validate the analytical procedure. We have obtained 0.330 ± 0.004 mg/kg for Se against 0.38 ± 0.04 mg/kg; 0.260 ± 0.003 mg/kg for As against 0.29 ± 0.03 mg/kg and 0.0280 ± 0.003 mg/kg for Cd against 0.022 ± 0.002 mg/kg with NIST 1568a. For Cu, Zn and Mn recoveries were within ±10 % while slightly higher recoveries (±15 % RSD) were observed for Mn and Al with the NIST 1568a.

All statistical analyses were performed by SPSS ver. 16.0 in which concentrations less than the limit of detection (LOD) are allocated a value of half-LOD for subsequent statistical interpretations. Two way multivariate analysis of variance (MANOVA) was applied to evaluate the differences in elemental composition in rice between climatic zones and the rice type (white or red). In this case, the overall mean of the groups were compared by test statistics. In all cases probability value <0.05 (95 % level) was considered as significant. Non-gender specific Estimated Daily Intake (EDI) of trace elements through rice consumption were estimated as EDI = C i  × Q, where C i is the average concentration of element i and Q is the amount of average daily consumption of rice which is considered as 284 g/day (Fordyce et al. 2000).

Results and discussion

In Sri Lanka, either white or red improved rice types are widely cultivated. Application of chemical fertilizers and pesticides is common practice in rice cultivations anticipating higher economic returns. Despite the high nutritional value, native varieties are cultivated in isolation mainly using organic agriculture practices. Most of the native varieties contain higher level of glutamic acid, vitamins, and low glycemic index (Gunaratne et al. 2013). The descriptive statistics of trace elements determined in collected rice varieties are shown in Table 1. Although the 18 trace elements were measured using ICP-MS, particular attention was given to elements Se, Cd and As that are discussed in a wider context compared to others.
Table 1

Summary statistics of trace elements in rice grains from different climatic zone of Sri Lanka (in µg/kg in dry weight basis; SD-standard deviation)

 

Li

B

Al

Cr

Mn

Fe

Co

Ni

Cu

Zn

As

Se

Sr

Mo

Cd

Ba

Pb

Bi

Wet zone (n = 81)

Min

2.5

2.5

2987

36.8

2995

3481

1.8

74.2

510

4525

2.48

2.32

31.2

144

0.6

231

2.47

0.32

Max

61

1931

23,976

1113

34,716

46,745

429

7641

6770

33,745

213

168

859

2108

576

4006

1277

86.6

Mean

10

839

8183

277

18,086

14,078

77

1026

2467

15,473

48

30

319

787

128

1433

257

4.74

Median

2

777

6876

203

18,038

11,833

44

571

2333

15,522

40

19

281

745

79

1243

192

2

SD

11

427

3700

215

8235

8234

92

1342

1148

4994

40.8

33.8

193

401

137

824

286

12

Intermediate zone (n = 70)

Min

2.5

2.5

2744

13

1798

2036

1.2

65

442

2532

2.5

0.54

14.6

0.88

2.34

176

2.48

2.47

Max

37

1543

16,972

520

28,448

40,589

296

6854

4802

21,320

143

156

720

1953

213

3060

945

69

Mean

6.5

650

8145

219

13,419

12,079

81

1012

2264

11,672

38

24

213

762

54

988

271

4

Median

2.5

611

7865

230

14,006

10,811

67

466

2212

11,669

34

14

184

712

38

898

254

2.5

SD

7

356

2802

129

7317

7806

66

1436

1080

5086

31

29

158

389

45

563

227

8

Dry zone (n = 75)

Min

2.5

2.5

3273

23

2139

1724

6.5

51

381

2772

2.5

2.1

28.5

3.0

0.6

209.7

0.6

2.5

Max

61.4

4622

13,700

362

41,710

41,614

398

2518

5547

33,247

186

261

1076

1857

282

3631

916

14.4

Mean

8.5

1016

7705

154

16,153

13,666

82

577

2430

13,156

41

44

342

673

68

1152

322

3.3

Median

2

859

7537

156

17,627

12,280

63

366

2156

13,950

29

26

288

597

52

990

242

2

SD

10.8

915

2534

85

11,272

9377

80

581

1267

6947

39

55

243

446

66

731

239

2.2

Native rice (n = 21)

Min

2.5

75.3

3441

160

10,354

5838

21

148

595

7603

2.5

2.5

102

300

8.0

532

1.5

2.5

Max

40

1962

39,789

614

39,467

44,135

199

2262

3488

34,780

143

192

1142

1055

72

3173

1338

39

Mean

9

1137

10,353

285

20,729

20,136

103

542

2167

22,605

74

69

480

573

33

1622

385

11

Median

2

1154

7809

241

19,750

19,529

95

394

2074

21,410

80

78

394

524

27

1647

110

7

SD

11

498

8702

109

6993

9006

58

516

833

5597

42

64

281

200

19

720

536

11

Sri Lanka improved (all; n = 226)

Min

2.5

2.5

2744

13.3

1798

1724

1.2

50.9

381

2532

2.5

0.5

14.6

0.9

0.6

176

0.6

0.3

Max

61

4622

23,976

1113

41,710

46,745

429

7641

6770

33,745

213

261

1076

2108

576

4006

1277

87

Mean

8.3

839

8013

218

16,010

13,319

80

876

2392

13,527

43

33

294

741

85

1203

283

4.1

Median

2.5

750

7434

182

16,809

11,696

57

453

2212

14,149

34

19

257

681

55

1083

236

2.5

SD

10

634

3071

163

9278

8512

80

1198

1167

5934

38

42

208

414

99

742

254

8

Improved white rice (n = 163)

Min

2.5

2.5

2744

13.3

1798

1724

6.5

51

558

2532

2.5

0.5

19.7

0.9

0.6

232

0.6

0.3

Max

61

4622

38,161

1002

41,710

46,745

429

7641

5276

33,247

186

261

1076

2108

344

4006

1277

69

Mean

8.3

868

8250

210

16,453

13,117

95

944

2434

13,526

42

36

304

741

70

1245

314

3.5

Median

2.5

772

7535

180

17,464

11,673

68

491

2353

14,162

34

25

259

678

47

1083

263

2.5

SD

10.2

658

4098

142

9456

8097

89

1262

1101

5740

34

44

212

418

66

749

263

5.8

Improved red rice (n = 63)

Min

2.5

2.5

4766

23

2476

2936

1.2

56

381

3205

2.5

2.1

15

3.0

2.5

176

2.5

1.2

Max

37

3136

14,031

1113

34,716

43,346

128

5087

6770

33,745

213

125

766

2037

576

3005

860

87

Mean

8.4

763

7894

240

14,871

13,829

42

693

2283

13,527

45

25

267

742

123

1097

203

5.5

Median

2.5

693

7192

188

15,851

12,118

38

314

2117

14,128

34

8

241

700

73

1078

120

2.5

SD

8.7

561

2267

207

8773

9529

27

995

1324

6452

46

35

195

408

149

717

211

13

Selenium in rice

Selenium is one of the important micronutrients investigated in this study since rice is the main source of selenium intake in Sri Lankan population that consumes rice almost three times a day and rice flour is also used very commonly in other food recipes. Nutritional functions of selenium are attained by 25 seleno-proteins, many of them are important for human health. Seleno-proteins act as antioxidant and detoxifying agents (e.g.: Glutathione peroxidase and thioredoxin reductase) and also considered as chemo-protective agents (Combs 2004; Davis et al. 2002; Ferri et al. 2007; Sun et al. 2014). Selenium deficiency has been identified as one of the major health problems among one billion people around the world (Haug et al. 2007). Deficiency of selenium has also been recently implicated to the CKDu in Sri Lanka (Jayatilake et al. 2013). The fact that the recommended average selenium intake varies according to the geographic region, 60 µg per day for men and 53 µg per day for women is generally recommended (Rayman 2000), and over 400 µg per day is considered to be toxic (WHO 1996). Sri Lanka is recognized as a terrain where the Se is deficient in the environment and this fact is attributed to the prevalence of goiter in the wet zone (Fordyce et al. 2000) and CKDu in the dry zone (Jayatilake et al. 2013).

Selenium content in rice is determined by the geochemical properties such as mineralogy of the parent material, soil processes (pH, redox state, water logging and submerging conditions) and also by the genotype of the plant (Cao et al. 2001). Physiological importance of Se to higher plants is not yet proven (Lyons et al. 2005) hence, the deficiencies in soil Se content will not effect on rice growth or yield. Flooded conditions in the paddy fields create anaerobic conditions which results in low Se availability for plant uptake. Plant root system takes up Se in the forms of selenate (SeO4 2−), selenite (SeO3 2−) and also as organic compounds (White and Broadley 2009) through sulfate transporters in the root plasma membranes (Bitterli et al. 2010). Selenate and Selenite are the predominant forms of Se for plants whereas elemental Se (Se0) and metal selenides (Se2−) are not available for plant uptake (Abrams et al. 1990). Selenate is favored under alkaline and oxic conditions whereas Selenite is favored by acidic to neutral soils with low oxic conditions (Neal and Sposito 1989; Bitterli et al. 2010). However, the mobility and bioavailability of selenite is limited due to its higher adsorption affinity to clay minerals, organic compounds and hydroxides. Based on the results of this study, the average Se content in Sri Lankan improved rice varieties were 33 µg/kg. However dry zone rice had a higher mean Se content (44 µg/kg; 2.1–261 µg/kg) than the other two climatic regions (Fig. 2a). Fordyce et al. (2000) also showed that Se content in dry zone rice varies from 6.8 to 150 µg/kg (n = 5). The lower availability of Se in paddy soil might be due to reduction of selenite under water logged conditions (Cao et al. 2001) that may leads to lower content of Se in rice from the wet zone as compared to the dry zone. From studied samples, white grain rice showed a higher mean Se content (36 µg/kg) compared to the red type (25 µg/kg) (Fig. 3a). Interestingly native rice varieties showed remarkably higher Se contents (69 µg/kg) compared to improved varieties (Fig. 4) possibly due to the inherent genetic differences. The content of Se in rice from Sri Lanka is lower compared to rice in other Asian countries (Fig. 5). The mean Se in rice from neighboring India was reported to be as high as 141 µg/kg (35–371 µg/kg) (Williams et al. 2009) and 125 µg/kg (5.3–233 µg/kg) (Kelly et al. 2002). However the mean Se content of Sri Lankan improved varieties is closely similar to the rice from Pakistan (mean 32.4 µg/kg Se; n = 5) (Kelly et al. 2002). Selenium content in paddy soils of Sri Lanka is also deficient or marginal (0.113–5.238 mg/kg) compared to soils in other parts of the world, while higher values of Se were reported in wet zone paddy soils (Fordyce et al. 2000). In spite of higher Se in paddy soils of the wet zone, a lower Se content was noted in this zone. We have calculated the average intake of Se for rice or rice based products from the wet zone, dry zone and intermediate zones and are 8.5, 12.5 and 6.8 µg/day, respectively (Table 2). These values are much lower than the recommended average selenium requirements. The intake is significantly higher (20 µg/day) for a person who consumes native rice; however a majority of the people consumes either white or red improved rice due to the non-availability and the higher cost of native rice varieties.
Fig. 2

Box and whisker plot showing (a) Se, (b) Cd and (c) As contents in wet zone (WZ), intermediate zone (IZ) and dry zone (DZ) of Sri Lanka

Fig. 3

Box and whisker plot showing (a) Se, (b) Cd and (c) As contents in white (W) and red (R) improved rice types from wet zone (WZ), intermediate zone (IZ) and dry zone (DZ) of Sri Lanka

Fig. 4

Box and whisker plot showing Se, Cd and As contents in improved (I) and native (N) rice types of Sri Lanka

Fig. 5

Se content in rice from some Asian counties

Table 2

Daily intake of Se, Cd and As from improved rice types and native rice varieties

Category

Mean (µg/kg)

Daily intake (µg)

Daily intake (µg per kg body weight)

Se

Cd

As

Se

Cd

As

Se

Cd

As

Wet zone

30

128

48

8.5

36.3

13.9

0.14

0.60

0.23

Intermediate zone

24

54

38

6.8

15.3

10.9

0.11

0.25

0.18

Dry zone

44

68

41

12.5

19.2

11.8

0.21

0.32

0.20

Native rice

69

33

74

19.5

9.47

21.2

0.32

0.16

0.35

Sri Lanka

33

85

43

9.31

24.1

12.2

0.16

0.40

0.20

Daily rice consumption (kg) 0.284 (after Fordyce et al. 2000)

Average body weight of adult: 60 kg

Cadmium in rice

Cadmium is a well-known carcinogen to humans and can also cause anemia, hypertension and severe damage to kidneys, lungs and bones (Khaniki and Zozali 2005). High Cd concentrations in rice are a widespread problem in many parts of the world and the situation is severe in South Asian countries (Meharg et al. 2013). It has also been identified that the bran of rice contains higher amounts of Cd than polished rice (Zhang et al. 1998). The extensive use of phosphate fertilizer for paddy cultivation and irrigation of contaminated water are the main sources of Cd in rice grains. As noted by Watanabe et al. (1996), high average Cd content was recorded from Japan (55.7 µg/kg; n = 788) whereas lowest recorded from Australia (2.67 µg/kg; n = 8). Sri Lanka has also been identified as one of the countries where the dietary intake of cadmium is known to be high (Bandara et al. 2008). Meharg et al. (2013) reported 81 µg/kg of Cd (n = 75), with median of 24 µg/kg (Minimum <0.5 µg/kg and Maximum 800 µg/kg) in rice from Sri Lanka. It is only second to Bangladesh (mean = 99 µg/kg; n = 260). In another study, the Cd in rice was reported to be 1.7–92.5 µg/kg with a mean of 23.36 µg/kg (Bandara et al. 2008).

Based on this study, the average Cd in improved rice varieties were 85 µg/kg (median 55 µg/kg) whereas improved rice grains from wet zone had 128 µg/kg of Cd that is significantly higher compared to rice from the intermediate zone (54 µg/kg) and the dry zone (68 µg/kg) (Fig. 2b). Mobilization of Cd in soil solution is sensitive to redox conditions in which mobilization is more favored under reducing conditions (Chuan et al. 1996). The heavy rainfall associated with the wet zone regions results in prolonged submerging of paddy soils resulting in extreme reducing conditions (Chandrajith et al. 2005b). This facilitates the mobilization of Cd and the subsequent uptake of this by the rice plant. Dry zone paddy soils are irrigated at rates that prevent prolonged submergence that may facilitate binding of Cd into oxides and/or oxyhydroxides of Fe and Mn (Chuan et al. 1996). Phosphate fertilizers particularly superphosphates are the major host of Cd in rice paddy fields and from 2.3 to 46 mg/kg of Cd were reported in triple superphosphates in Sri Lanka (Chandrajith et al. 2010). Compared to white rice (70 µg/kg), red rice (123 µg/kg) had a significantly higher Cd level (Fig. 3b) but the wet zone red rice showed a skewed distribution of Cd content from 9.6 to 576 µg/kg. Native rice varieties of Sri Lanka showed a mean Cd content of 33 µg/kg (median = 27 µg/kg) that is significantly lower than the improved varieties (Fig. 4). Application of organic fertilizer would be the reason for lower Cd content in native rice samples. The mean Cd content of rice in some neighboring countries are 78 µg/kg (India); 50 µg/kg (Nepal) and 27 µg/kg (Thailand), most of which are much lower than the Cd content in Sri Lankan rice (Meharg et al. 2009). However over 92 % of the improved rice samples collected from Sri Lanka contained Cd at a level less than the Codex Committee on Food Additives and Contaminants (CCFAC) maximum permissible level for rice grain of 200 µg/kg (FAO/WHO 2006). As already mentioned, rice is the staple diet of the Sri Lankan population that accounts for over 50 % of the dry diet that provides about 1000 calories. The average Cd intake from improved rice is 24 µg/day while wet zone rice provide 36 µg/day Cd which is significantly higher compared to intake from the dry zone (19 µg/day) and the intermediate zone (15 µg/day). The intake is lower (9.47 µg/day) for a person who consumes native rice (Table 2).

Arsenic in rice

Arsenic (As) is a metalloid that can cause adverse health effects. For instance, due to consumption of As contaminated water and food, millions of people in Bangladesh are suffering chronic arsenic poisoning (Das et al. 2004). Rice is considered as one of the significant dietary sources of inorganic arsenic (Abedin et al. 2002; Gilbert et al. 2015). Arsenic concentration in rice grain varies widely depending on the regional environmental factors. Rice can accumulate elevated levels of arsenic compared to other cereals in which approximately 80 % of the total arsenic is in the inorganic form (Williams et al. 2007; Zhu et al. 2008). Higher accumulation of As were reported in Bengal Delta where rice fields are irrigated with arsenic contaminated water (Meharg and Rahman 2003). Williams et al. (2007) reported that the baseline inorganic As levels in rice are tenfold higher compared to other cereals. Although the groundwater and surface water arsenic levels are insignificant in Sri Lanka (Chandrajith et al. 2011; Nanayakkara et al. 2014), some studies highlighted alarming higher levels (21–540 µg/kg) of As in rice from Sri Lanka (Jayasumana et al. 2015). This enriched As in rice was attributed to the application of contaminated fertilizer and pesticides in paddy cultivation. However this study indicated a mean of 43 µg/kg As (2.50–213 µg/kg; median 34 µg/kg) in improved rice from Sri Lanka. These values are significantly lower than the previously reported values. Interestingly no significant variation in mean As contents were observed among three climatic zones (Fig. 2c) and also between white (42 µg/kg) and red (45 µg/kg) types (Fig. 3c). Even paddy soils of wet and dry zone did not show remarkable differences in their mean As contents in which wet zone had 0.9 mg/kg and dry zone paddy soils showed 0.7 mg/kg (Chandrajith et al. 2005a). However native rice showed a higher mean As content (74 µg/kg) compared to improved rice varieties (Fig. 4). Higher accumulation of As in native rice can be possibly attributed to the application of organic fertilizer. Arsenic is a highly redox sensitive element that readily combines with iron hydroxides and/or oxyhydroxides or associated with sulfides. The decomposition of compost fertilizer in flooded paddy fields causes the arsenic to mobilize as arsenite and subsequent plant uptake (Takahashi et al. 2004). But none of the rice samples exceeded the total As level (300 µg/kg) recommended for rice and only one sample from wet zone exceeded the recommended level of inorganic arsenic (200 µg/kg) by the Codex Committee on Food Additives and Contaminants and (FAO/WHO 2012). Furthermore, rice plants taken up Arsenite (As3+; as H3AsO3 and H2AsO3 ) and Arsenate (As+5; as HAsO4 2− and H2AsO4 ) via Si transportes and phosphate cotransporters respectively (Norton et al. 2010). It has been reported that high Silicic acid and Phosphate conditions in the soil solution may reduce As uptake by the rice plant (Bogdan and Schenk 2009; Li et al. 2009). The calculated average intake of As from wet zone improved rice is estimated to be 14 µg/kg, while it is 11 and 12 µg/kg for rice from intermediate zone and dry zone, respectively (Table 2). Interestingly the consumption of native varieties provide higher As intake (21 µg/kg).

Other trace elements

It is very important to understand the accumulation of trace elements in rice grains since some of the trace elements are toxic while some others are considered as essential. Particularly toxic trace elements can cause profound effects on health of people who consume contaminated rice. Summary data of studied trace elements are shown in Table 1. From among all improved rice samples, concentrations of Al (8013 µg/kg), Mn (16,010 µg/kg), Fe (13,319 µg/kg) and Zn (13,527 µg/kg) ranged over four orders of magnitude whereas concentrations of Cu (2392 µg/kg); Ba (1203 µg/kg) and Ni (876 µg/kg) ranged over three orders of magnitude (Fig. 6). Among the other studied trace elements, the mean contents of B (839 µg/kg); Mo (741 µg/kg); Sr (294 µg/kg); Pb (283 µg/kg); Cr (218 µg/kg); Co (80 µg/kg); Bi (4 µg/kg); and Li (8 µg/kg) are comparatively low. From among these elements Fe, Zn, Cu, Mo and B are considered as essential trace elements for the human health (Dissanayake and Chandrajith 1999). Compared to improved rice samples, native rice showed a slightly higher Pb content. In general, Li, Ni, Zn, Mn and Bi are higher in wet zone rice while B is higher in dry zone rice. Usually Cu and Zn in Indica rice are higher than Japonica rice and Zn is higher in Indica white rice (Yang et al. 1998).
Fig. 6

Box and whisker plot showing trace elements in improved rice from three climatic zones of Sri Lanka

Multivariate analysis of variance (MANOVA)

In order to assess significant differences in total metal concentration or individual elements and group variabilities i.e. climatic zones and rice varieties, multivariate analysis of variance (MANOVA) was used (Table 3). An assumption was made on the significant difference of trace elements in terms of climatic zones (wet, dry and intermediate) and rice types (white and red). In MANOVA, inter-correlations of the independent variables are taken into account in which all variables were considered multivariate (Todorov and Filzmoser 2010) and overall mean of the group is compared by Wilks’ Lambda, Lawley-Hotelling, Pillai’s Trace and Roy’s Largest Root statistics and between group variances is expressed as F-statistics. Only improved rice samples were considered for the MANOVA test. The overall results of the MANOVA for improved rice from Sri Lanka are shown in Table 4. As shown in the results, with respect to all variables (p > 0.01) the overall compositions of rice are not significantly different from among groups such as climatic zones and rice types (Table 3). However when individual elements are considered, independent variables (Table 4) and significant differences were observed in Se, Cd, Cr, Cu, Zn and Ba contents among climatic zones and between rice types. The contents of Mn and Sr only showed a significant difference among climatic zones while Co and Pb only showed significant differences between white and red types. Interestingly As content does not show any significant difference between neither climatic zone nor rice type.
Table 3

Results of MANOVA multivariate tests for rice samples of three climatic zones and two rice types (white and red)

Test

Value

F

Hypothesis d.f.

Error d.f.

Sig.

Climatic zones

Pillai’s Trace

0.564

3.837

36.000

352.000

0.000

Wilks’ Lambda

0.508

3.916a

36.000

350.000

0.000

Hotelling’s Trace

0.826

3.994

36.000

348.000

0.000

Roy’s largest root

0.584

5.713b

18.000

176.000

0.000

Rice type

Pillai’s Trace

0.230

2.906a

18.000

175.000

0.000

Wilks’ Lambda

0.770

2.906a

18.000

175.000

0.000

Hotelling’s Trace

0.299

2.906a

18.000

175.000

0.000

Roy’s largest root

0.299

2.906a

18.000

175.000

0.000

aExact statistic

bThe statistic is an upper bound on F that yields a lower bound on the significance level

Table 4

Multivariate tests (MANOVA) results for rice samples that considered as climatic zones, rice types and both

Element

Significance level

Climatic zones

Rice types

Zone-types

Se

0.214

0.006

0.003

As

0.075

0.709

0.641

Cd

0.000

0.038

0.006

Li

0.047

0.554

0.127

B

0.132

0.250

0.189

Al

0.912

0.796

0.438

Cr

0.000

0.603

0.009

Mn

0.010

0.116

0.117

Fe

0.547

0.507

0.363

Co

0.917

0.000

0.936

Ni

0.050

0.077

0.795

Cu

0.183

0.009

0.020

Zn

0.000

0.621

0.032

Sr

0.003

0.139

0.053

Mo

0.082

0.773

0.256

Ba

0.000

0.090

0.015

Pb

0.404

0.018

0.971

Bi

0.338

0.254

0.240

Italic values indicate significance of p values; p < 0.05

Conclusions

Rice is one of the most widely consumed foods worldwide while in Sri Lanka it is consumed at a rate over 100 kg/person rice annually. Recently it has been reported that rice in Sri Lanka contains high levels of highly toxic elements such as cadmium and arsenic. Such elements were then attributed to the onset of chronic kidney diseases in certain geographically discrete areas of the country. The results obtained in this study increase our attention of trace metal contents in rice from different climatic regions and also difference between indigenous rice and improved rice varieties. A multivariate data analysis method was used to identify the difference in trace metal composition in improved rice on climatic condition hence the soil characteristics and on different varieties as white and red rice.

Based on the results of descriptive statistics and multivariate analyses, it can be concluded that the As content in rice does not significantly differ among climatic zones and rice types while Se differs among rice types. However Cd content in rice differs drastically according to rice type and climate zone. The elevated levels of toxic elements, Cd and As in rice suggests that paddy soils have been subject to a high input of anthropogenic contaminants that are most likely related to the agrogenic activities such as application of fertilizer used to improve production and quality since the geogenic input is not considerable in Sri Lanka. Interestingly, native rice varieties contained significantly higher content of Se which is an essential trace element that is considered as being deficient among Sri Lankan population. Since the Se intake among Sri Lankans seems to be low and critical while the main staple food does not supply adequate amounts, assessing the Glutathione peroxidase in blood in the population is highly warranted. It is also important to adopt regulations to control the agrogenic trace metal inputs.

Declarations

Authors’ contributions

SD carried out sampling and analyses and performed majority of the experimental work; TN analysed samples with ICP-MS, HTKA performed the statistical interpretations; RC and SR obtained the grant and RC design the experiment and compiled the manuscript. All authors read and approved the final manuscript.

Acknowledgements

This research work was financially supported by the Nation Research Council (NRC), Sri Lanka (Grant 12-102) offered to RC.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Geology, Faculty of Science, University of Peradeniya
(2)
Postgraduate Institute of Science, University of Peradeniya
(3)
Bandaranaike Memorial Ayurvedic Research Institute
(4)
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya
(5)
Department of Molecular Biology and Biotechnology, Faculty of Science, University of Peradeniya

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