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. 2016 May 12;8:21–25. doi: 10.1016/j.dib.2016.05.005

Data on heavy metals and selected anions in the Persian popular herbal distillates

Mozhgan Keshtkar a, Sina Dobaradaran a,b,c,, Farshid Soleimani a, Vahid Noroozi Karbasdehi a, Mohammad Javad Mohammadi d, Roghayeh Mirahmadi a, Fatemeh Faraji Ghasemi a
PMCID: PMC4885015  PMID: 27274526

Abstract

In this data article, we determined the concentration levels of heavy metals including Pb, Co, Cd, Mn, Mg, Fe and Cu as well as selected anions including NO3 , NO2, PO43 and SO42 in the most used and popular herbal distillates in Iran. It is well known that heavy metals may pose a serious health hazard due to their bioaccumulation throughout the trophic chain (“Heavy metals (Cd, Cu, Ni and Pb) content in two fish species of Persian Gulf in Bushehr Port, Iran” (Dobaradaran et al., 2013) [1]; “Comparative investigation of heavy metal, trace, and macro element contents in commercially valuable fish species harvested off from the Persian Gulf” (Abadi et al., 2015) [2]) as well as some other environmental pollutions, “Assessment of sediment quality based on acid-volatile sulfide and simultaneously extracted metals in heavily industrialized area of Asaluyeh, Persian Gulf: concentrations, spatial distributions, and sediment bioavailability/toxicity” (Arfaeinia et al., 2016) [3]. The concentration levels of heavy metals and anions in herbal distillates samples were determined using flame atomic absorption spectrometry (FAAS, Varian AA240, Australia) and a spectrophotometer (M501 Single Beam Scanning UV/VIS, UK) respectively.

Keywords: Daily intake, Herbal distillates, Heavy metals, Selected anions


Specifications Table

Subject area Chemistry
More specific subject area Plant Medicine
Type of data Table
How data was acquired Flame Atomic Absorption Spectrometry (FAAS, Varian AA240, Australia) and a spectrophotometer (M501 Single Beam Scanning UV/VIS, UK)
Data format Raw, analyzed
Experimental factors All herbal distillates bottles were stored in a dark place at room temperature in their original sealed plastic containers until the analysis.
Experimental features Determine the concentration levels of heavy metals including Pb, Co, Cd, Mn, Mg, Fe and Cu as well as selected anions including NO3 , NO2, PO43 and SO42
Data source location Bushehr, Iran
Data accessibility Data is with this article.

Value of the data

  • Data can be used as a base-line data for concentration levels of some metals in herbal distillates.

  • Data shown here may motivate further studies on medical benefits of herbal distillates due to their low concentration levels of metals.

  • Data shown here may serve as benchmarks for other groups working in the field of pharmacology and toxicology.

1. Data

In the data, characteristics of plants used for extracting herbal distillates are presented in Table 1. The data in Table 2 show that Pb, Cd, Mn, and Cu were not detected (ND) in all examined herbal distillate samples, but the mean concentration levels of Co, Mg, and Fe were 6.5, 1163.7, and 91 with a range of ND-30, 90-8970, and ND-500 μg/l respectively, and the mean concentration levels of NO3, NO2, PO43 and SO42 were 527.5, 17.5, 43, and 24 μg/l respectively. The data in Table 3 show that the maximum daily intakes of Co, Mg and Fe reached 3, 897 and 50 µg/day respectively based on 100 ml daily use by local consumer. It should be noted as other metals including Pb, Cd, Mn and Cu were not detected in all analyzed samples, daily intakes for these metals were not calculated.

Table 1.

Characteristics of plants used for extracting herbal distillates [4], [5], [6], [7].

Common name Scientific name Claimed therapeutic property
Alfalfa Medicago sativa Fattening, slimming treatment, blood purification
Aloe vera Aloe vera Power amplifier, blood purifier
Camelthorn Alhagi maurorum Blood purifier, kidney detersive
Chicory Cichorium intybus Treatment of liver and gallbladder disorder, curing constipation
Dog-rose Rosa canina Carminative, skin care
Fennel Foeniculum vulgare Antiseptic, palliative and anti-inflammatory effects
Fenugreek Trigonella foenum-graecum Digestive problems and antidiabetic
Fumitory Fumaria officinalis Bile disorders, eye irritation
Herbal mixture Sedative, used for upset stomach
Lavender Lavandula stoechas Amplifier neurology soothing, anticonvulsants
Licorice Glycyrrhiza glabra Impact on the digestive system, Treating swelling and ulcers
Nettle Urtica Treatment of respiratory, anti-diarrhea, anti-inflammatory
Olive Olea europaea Disposal of gallstones, appetizer
Orange blossom Citrus sinensis Invigorating for the skin, relaxing effect on mind and body
Pussy willow Salix aegyptiaca Mild sedative, skin care
Reppermint Mentha Improved upset stomach and indigestion, skin irritation
Rose Rosa damascena Mild sedative, skin treatments
Sycamore Platanus orientalis Improving blood circulation to brains and heart
Walnut Juglans regia Anti-diarrhea, hypoglycemia
Yarrow Achillea Anticonvulsants, febrifuge

Table 2.

Concentration levels of heavy metals, selected anions and regulatory limit values (μg/l) in the analyzed herbal distillates.

n=20
Pb
Co
Cd
Mn
Mg
Fe
Cu
NO3
NO2
PO4-3
SO4-2
Detection limit 0.01 0.005 0.002 0.002 0.002 0.006 0.003
Fenugreek ND ND ND ND 300 60 ND 510 20 90 20
Walnut ND ND ND ND 90 ND ND 570 20 50 20
Alfalfa ND ND ND ND 90 60 ND 380 20 30 30
Yarrow ND ND ND ND 700 60 ND 540 10 40 10
Lavender ND ND ND ND 380 20 ND 610 20 30 30
Fennel ND ND ND ND 580 ND ND 480 20 50 20
Sycamore ND ND ND ND 370 70 ND 550 10 20 30
Aloe vera ND ND ND ND 320 100 ND 710 20 30 ND
Olive ND ND ND ND 95 ND ND 570 20 30 30
Nettle ND ND ND ND 300 50 ND 640 20 30 40
Licorice ND 10 ND ND 200 ND ND 600 20 20 20
Orange blossom ND 20 ND ND 1300 ND ND 470 10 20 40
Fumitory ND ND ND ND 520 500 ND 370 10 40 40
Dog-rose ND 10 ND ND 1980 ND ND 550 20 70 70
Camelthorn ND 10 ND ND 390 ND ND 540 10 30 20
Reppermint ND 10 ND ND 8970 200 ND 570 30 40 30
Pussy willow ND 30 ND ND 460 500 ND 560 10 40 10
Chicory ND 10 ND ND 830 200 ND 460 20 80 ND
Rose ND 20 ND ND 5110 ND ND 310 20 20 ND
Herbal mixture ND 10 ND ND 290 ND ND 560 20 100 20
Minimum value ND 90 ND 310 10 20 ND
Maximum value 30 8970 500 710 30 100 70
Mean value 6.5 1163.7 91 527.5 17.5 43 24
Std. deviation 8.75 2154 153 92.52 5.36 20.32 16.24
JECFAa (μg /l-bwt) 25 7 50
ATSDRb (μg/l-day) 0.01 0.0001 0.01

None Detect.

a

Joint FAO/WHO Expert Committee on Food Additives.

b

US Agency for Toxic Substances and Disease.

Table 3.

The estimated daily intakes of heavy metals for the herbal distillate samples.

Herbal distillates Co Mg Fe
Fenugreek 30 6
Walnut 9
Alfalfa 9 6
Yarrow 70 6
Lavender 38 2
Fennel 58
Sycamore 37 7
Aloe vera 32 10
Olive 9.5
Nettle 30 5
Licorice 1 20
Orange blossom 2 130
Fumitory 52 50
Dog-rose 1 198
Camelthorn 1 39
Reppermint 1 897 20
Pussy willow 3 46 50
Chicory 1 83 20
Rose 2 511
Herbal mixture 1 29
Minimum value 1 9 2
Maximum value 3 897 50
Mean value 0.65 116.37 9.1
Std. deviation 0.88 215.16 15.27

2. Experimental design, materials and methods

Twenty different herbal distillates of the most used and popular herbal distillates were purchased from herbal distillate distribution shops in Bushehr, Iran. All purchased herbal distillates were produced by traditional methods from Ordibehesht Company in Meymand city, which is the main city in Iran for herbal distillates production. All herbal distillates bottles were stored in a dark place at room temperature in their original sealed plastic containers until the analysis. Before taken for analysis, samples were collected in 100 ml sterile glass bottles that were previously washed and dried in oven at 180 °C. The concentration levels of heavy metals and anions in herbal distillates samples were determined using flame atomic absorption spectrometry (FAAS, Varian AA240, Australia) and a spectrophotometer (M501 Single Beam Scanning UV/VIS, UK) respectively. The limit of detection (LOD) was calculated as 3Sb/b, where Sb is the standard deviation for twenty measurements of the calibration blank, and b is the slope of the calibration curve.

Acknowledgments

The authors are grateful to the Bushehr University of Medical Sciences for their financial support (Grant no 20/71/1872) and the laboratory staff of the Environmental Health Engineering Department for their cooperation.

Footnotes

Appendix A

Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2016.05.005.

Appendix A. Supplementary material

Supplementary material

mmc1.pdf (1.2MB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material

mmc1.pdf (1.2MB, pdf)

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