| Literature DB >> 28512706 |
Ewa Jaszczak1, Żaneta Polkowska2, Sylwia Narkowicz2, Jacek Namieśnik2.
Abstract
Cyanide toxicity and their environmental impact are well known. Nevertheless, they are still used in the mining, galvanic and chemical industries. As a result of industrial activities, cyanides are released in various forms to all elements of the environment. In a natural environment, cyanide exists as cyanogenic glycosides in plants seeds. Too much consumption can cause unpleasant side effects. However, environmental tobacco smoke (ETS) is the most common source of cyanide. Live organisms have the ability to convert cyanide into less toxic compounds excreted with physiological fluids. The aim of this paper is to review the current state of knowledge on the behaviour of cyanide in the environment and its impact on the health and human life.Entities:
Keywords: Cyanide determination; Cyanide in food; Cyanide ion; Cyanide toxicity; Cyanides in the environment; Tobacco smoke
Mesh:
Substances:
Year: 2017 PMID: 28512706 PMCID: PMC5506515 DOI: 10.1007/s11356-017-9081-7
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Fig. 1Sources of cyanide in the environment
Fig. 2Cyanide forms and species
Literature information on cyanide concentrations in different environmental samples
| Type of sample | Source of sample | Concentration | References |
|---|---|---|---|
| Air | |||
| Outdoor air | Lower atmosphere | 0.36 ± 0.16 ppbv | Ambose et al. ( |
| Atmosphere | 333 ± 44 pptv (summer) | Zhao et al. ( | |
| 195 ± 16 pptv (winter) | |||
| Lower stratosphere | 233.5 ± 160.6 ppt | Singh et al. ( | |
| 280 ± 4 pptv | Viggiano et al. ( | ||
| Stratosphere | 164 pptv | Scheneider et al. ( | |
| Gold field | 0.76 ppb | Orloff et al. ( | |
| Vehicular emissions | 654 t/year | Moussa et al. ( | |
| Vehicular emission | 0.45 mg/km | Karlsson and Botz ( | |
| Indoor air | Vehicular exposure in garage | 0.32 μg/m3 | Karlsson and Botz ( |
| Air in car | 14–20 ppm | Mangnusson et al. ( | |
| Fire | 1.8 ± 3 mg/kg | Paton-Walsh et al. ( | |
| Tobacco smoke | |||
| Cigarette | China | 125.2 μg/cig. | Zhang et al. ( |
| Spain | 6.6 μg/ cig. | Marcilla et al. ( | |
| Russia | 27 μg/cig. | Ashley et al. ( | |
| CAMEL Lights | 184.825 μg/cig. | Mahernia et al. ( | |
| Marlboro Gold (Germany) | 165.871 μg/cig. | ||
| Marlboro Extra (USA) | 164.309 μg/cig. | ||
| Marlboro Lights (Switzerland) | 69.344 μg/cig. | ||
| Winston Blue (Europe) | 99.244 μg/cig. | ||
| Switzerland | 4.1 ng/cig. | Mottier et al. ( | |
| China | 98.38 μg/cig. | Xu et al. ( | |
| Water | |||
| Surface water | Korea (Gum River) | 1.01 ± 0.03 μg/L | Kang and Shin ( |
| – | 0.77 mg/L | Dadfarnia et al. ( | |
| Brazil | 25–50 μg/L | Frizzarin and Rocha ( | |
| China | – | Wan et al. ( | |
| Italy | 5.11 μg/L | Giuriati et al. ( | |
| Drinking water | USA (Sunnyvale) | <LOD | Christinson and Rohrer ( |
| USA (San Jose) | <LOD | ||
| Sweden | – | Themelis et al. ( | |
| Iran | <LOD | Absalan et al. ( | |
| Tap water | Iran | 0.6 μg/L | Abbasi et al. ( |
| Wastewater | |||
| Petrochemical sludge | 6.1–63.5 μg/L | Dadfarnia et al. ( | |
| Electroplating waste | 0.04–1.2 μg/mL | Hassan et al. ( | |
| Petrochemical sludge | 4600.2 μg/L | Abbasi et al. ( | |
| Gold cyanidation solution | 540 mg/L | Breuer et al. ( | |
| Industrial wastewater | – | Noroozifar et al. ( | |
| Soil | |||
| Japan | 0.060 mg/L | Matsumura and Kojima ( | |
| Coking plant sites (Germany) | 32.8 ± 1.44 mg/kg | Mansfeldt and Biernath ( | |
| Coking plant sites (France) | 46.5 ± 14.5 mg/L | Manar et al. ( | |
| Goldmine (Tawurbiek, China) | 70.55 μg/g | Shehong et al. ( | |
| Coking plant sites (Germany) | 0.14 mg/L | Rennert and Mansfeldt ( | |
| Gold mine (Brazil) | 0.83–1.44 mg/kg | Prereira and Sousa Neto ( | |
| Techatticup | <0.01 mg/kg | Sims and Francis ( | |
| Fresh food | |||
| Kernel/seed | Apple | 2.80 ± 0.02 mg/kg | Ma et al. ( |
| 690 ppm | Haque and Bradbury ( | ||
| 1–3.9 mg/g | Bolarinwa et al. ( | ||
| Apricot | 1.88 ± 0.07 mg/kg | Ma et al. ( | |
| 785 ppm | Haque and Bradbury ( | ||
| 14.37 ± 0.28 mg/g | Bolarinwa et al. ( | ||
| Peach | 710 ppm | Haque and Bradbury ( | |
| Nectarine | 196 ppm | ||
| Plum | 696 ppm | ||
| Bean | 1.76–1.77 mg/kg | Chove and Mamiro ( | |
| Millet | 2.11–2.14 mg/kg | ||
| Lensed | 390 ppm | Haque and Bradbury ( | |
| Rubber tree | – | Abdullah et al. ( | |
| Nuts | – | Chove and Mamiro ( | |
| Plum | 247 mg/100 g | Surleva and Drochioiu ( | |
| Almond | 7.4 μg/100 g | ||
| Apple | 108 mg/100 g | ||
| Flax | 7.3 mg/100 g | ||
| Leaf | Sorghum | 750 ppm | Haque and Bradbury ( |
|
| 29 ppm | ||
| Spinach | 2.51 ± 0.6 μg/g | Kuti and Konoru ( | |
| 1.28 ± μg/g | |||
| Chokecherry | 4.7–15 mg/kg | Pentore et al. ( | |
| Bamboo | 1010 ppm | Haque and Bradbury ( | |
| Grapevine | 123–329 mg/kg | Franks et al. ( | |
| Root | Manioc | 27 ppm | Haque and Bradbury ( |
| Processed food | |||
| Liquor | Cherry | 1 ng/mL | Wu et al. ( |
| Juice | Apple juice | 0.003 mg/mL | Bolarinwa et al. ( |
| Marzipan | 0.02 mg/g | Bolarinwa et al. ( | |
| Flour | Manioc | 43 ± 20 ppm | Haque and Bradbury ( |
| 232 ± 10 mg/kg | Tivana et al. ( | ||
| 2.3 mg/kg | Kalenga Saka and Nyirenda ( | ||
| Garri | 16.7 ppm | Bradbury ( | |
Fig. 3Tobacco smoke components
Fig. 4Processes of cyanide transformations occurring in water and soil
Plants containing cyanogenic glycosides
| Plant | Genera and species | Main cyanogenic glycosides | Literature |
|---|---|---|---|
| Grain crops | Wheat (np. | Cycasin | Vetter ( |
| Vegetables | Bean ( | Linamarin | Ballhorn ( |
| Fruit | Apple ( | Prunasin | Senica et al. ( |
Fig. 5Catabolism and detoxification of cyanogenic glycosides
Literature information on cyanide concentrations in biological samples
| Type of sample | Source of sample | Concentration | References |
|---|---|---|---|
| Liquid | |||
| Blood | Poisoning | 2.77 mg/L | Sanchez-Verlaan et al. ( |
| Fire victims | 1.06 mg/L | McAllister et al. ( | |
| Fire victims | 2.0–7.2 mg/L | Ferrari et al. ( | |
| Fire victims | 1.06 mg/L | Yeoh and Braitberg ( | |
| Health volunteers | 0.08 μM/mL | Kage et al. ( | |
| Fire victims | 5.32 mg/L | Moriya and Hashimoto ( | |
| Post-mortem blood sample | 0.03 mg/L | Felby ( | |
| Living organism | 0–0.04 mg/L | ||
| Urine | Health volunteers | 0.1 mg/L | Cruz-Landeira et al. ( |
| Death poisoning | 0.15 g/mL | Liu et al. ( | |
| Smoker | 518 ± 123 nM | Zhang et al. ( | |
| Smoker | 0.42 μM/L | Jermak et al. ( | |
| Non-smoker | n/a | ||
| Non-smoker volunteers | 0.15 μg/mL | Liu et al. ( | |
| Nasal discharge | Health volunteers | 0.121 mg/L | Narkowicz et al. ( |
| Saliva | Health volunteers | 0.66 ± 0.52 μM | Tsunge et al. ( |
| Smoker | 0.76 μM/L | Jermak et al. ( | |
| Non-smoker | 0.38 μM/L | ||
| Plasma | Non-smoker volunteers | 11.4 μg/mL | Liu et al. ( |
| Gastric content | Suicide victim | 135 μg/mL | Minakata et al. ( |
| Gas | |||
| Breath | Health volunteers | 14 ppb | Španěl et al. ( |
| School students | 7 ppb | Španěl et al. ( | |
| Three volunteers | 0–62 ppbv | Ma et al. ( | |
| Patients with lung disease | 25.1 ppb | Dummer et al. ( | |
Fig. 6Basic processes involved in the metabolism of cyanide
Fig. 7Schematic representation of the impact of cyanides on the human body
Fig. 8Toxicity of cyanide forms
Cyanide toxicity
| Organism | Cyanide form | Parameter/exposure time | Concentration range | References |
|---|---|---|---|---|
| Fish | ||||
|
| K3Co(CN)6 | LC50/96 h | 112.9 mg/L | Little et al. ( |
|
| NaCN | LC50/96 h | 1.0 mg/L | David and Kartheek ( |
|
| NaCN | LC50/96 h | 0.110 mg/L | Pablo et al. ( |
| K3Fe(CN)6 | 9.1 mg/L | |||
| K4Fe(CN)6 | 60.8 mg/L | |||
|
| HCN | LC50/96 h | 0.057 mg/L | McGeachy and Leduc ( |
|
| NaCN | LC50/96 h | 1.0 mg/L | David et al. ( |
|
| NaCN | LC50/96 h | 70 μg/L | Pablo et al. ( |
| K3Fe(CN)6 | LC50/96 h | 1730 μg/L | ||
| K4Fe(CN)6 | LC50/96 h | 20.5 μg/L | ||
|
| NaCN | LC50/96 h | 318 μg/L | Cardwell et al. ( |
|
| NaCN | LC50/96 h | 134 μg/L | Kimball et al. ( |
| HCN | NOEC | <5 μg/L | ||
|
| NaCN | LC50/96 h | 109 μg/L | Pablo et al. ( |
| K3Fe(CN)6 | LC50/96 h | 2830 μg/L | ||
| K4Fe(CN)6 | LC50/96 h | 285,000 μg/L | ||
|
| NaCN | LC50/8 days | 114 μg/L | Cardwell et al. ( |
|
| HCN | NOEC-LOEC/256 days | 12.9–19.6 μg/L | Lind et al. ( |
| Invertebrates | ||||
|
| NaCN | LC50/24 h | 0.171 mg/L | Jaafarzadeh et al. ( |
| LC50/48 h | 0.12 mg/L | |||
| LC50/72 h | 0.07 mg/L | |||
| LC50/96 h | 0.019 mg/L | |||
|
| K3Co(CN)6 | LC50/96 h | 0.502 mg/L | Little et al. ( |
|
| LC50/96 h | 2.289 mg/L | ||
|
| NaCN | EC50/48 h | 0.0286 mg/L | Pablo et al. ( |
| K3Fe(CN)6 | 0.128 mg/L | |||
| K4Fe(CN)6 | 0.686 mg/L | |||
|
| HCN | NOEC-LOEC/112 days | 29–40 μg/L | Oseid and Smith ( |
|
| NaCN | LC50/96 h | 900 μg/L | Ewell et al. ( |
|
| NaCN | LC50/96 h | 158 μg/L | Sarkar ( |
| Algae | ||||
|
| NaCN | EC50/72 h | 57 μg/L | Pablo et al. ( |
| K3Fe(CN)6 | EC50/72 h | 127 μg/L | ||
| K4Fe(CN)6 | EC50/72 h | 267 μg/L | ||
|
| KCN | LOEC/8 days | 30 μg/L | Bringmann and Kühn ( |
|
| NaCN | EC50/72 h | 116 μg/L | Manar et al. ( |
| K3Fe(CN)6 | EC50/72 h | 158 μg/L | ||
| K4Fe(CN)6 | EC50/72 h | 283 μg/L | ||
| Upper organism | ||||
| Mice | KCN | LD50/24 h | 8.4 mg/kg | Yamamoto ( |
| Mice | KCN | LD50/24 h | 8.87 mg/kg | Jiang et al. ( |
| Rat | CH3CN | LD50/24 h | >5000 | Rao et al. ( |
| CH2CHCN | 95.1 mg/kg | |||
| CH2(CN)2 | 66.4 mg/kg | |||
| CH3CH2CN | 83.6 mg/kg | |||
| Na2[Fe(CN)5NO]·2H2O | 83.6 mg/kg | |||
| C2H4(CN)2 | 378.5 mg/kg | |||
Cyanide poisoning symptoms; Akintonwa et al. 1994)
| Symptoms | |
|---|---|
| Nervous system | Headache, agitation, seizures, coma, mydriasis |
| Respiratory system | Shortness of breath, cough |
| Cardiovascular system | Sudden cardiac arrest, acute coronary syndrome, pulmonary oedema, supraventricular and ventricular arrhythmias |
| Digestive system | Abdominal pain, nausea, vomiting |
| Skin | Cherry-red colour of the skin, excessive sweating |
Analytical challenges in the development of new analytical procedures
| Regardless of used analytical procedures |
| - Heterogeneity of environmental samples and biological materials |
| Related to the analytical procedure |
| - Stage of sample preparation depends on the applied analytical technique |
The composition of the matrix of environmental and biological samples
| Sample | Example | Constituents of the matrix | References |
|---|---|---|---|
| Food | Almond | Linoleic acid, elaidic acid | Lin et al. ( |
| Water | Drinking water | CaCO3, Ca, Cl−, PO4 3−, Fe2+, Mn2+ | Gerke et al. ( |
| Air | Benzene, CO, Pb, NO | DOE ( | |
| Soil | Calabria, Italy | SiO2, TiO2, Al2O3, FeO, MgO, CaO, Na2O, K2O, Cl2O | Pelle et al. ( |
| Tobacco smoke | Benzo[a]pyrene, HCN, formaldehyde acetaldehyde, acrolein, benzene, toluene | Torikaiu et al. ( | |
| Biological samples | Blood | Erythrocytes, leukocytes, protein, haemoglobin (HGB), neutrophils, blood platelets, glucose | Tong et al. ( |
| Urine | Na+, K+, NH3+, Ca2+, Mg2+, Cl−, PO4 3−, SO4 2−, water, urea, uric acid, creatinine | Yaroshenko et al. ( | |
| Saliva | Salivary amylase (ptyalin) and maltase | Chen et al. ( |
Fig. 9Interfering substances in the determination of cyanide ions
Fig. 10a, b Sample preparation
Fig. 11Information on the use of traps to trap tobacco smoke constituents
Preparation and analytical techniques for cyanide determination
| Analytical technique | Metrological parameters | Type of sample | References |
|---|---|---|---|
| IC-PAD | Linearity 0.0147–2.45 μg/mL | Mainstream smoke | Zhang et al. ( |
| LOD 1–3 μg/mL | Drinking water | ||
| Recovery 94.3–101% | Liquor | ||
| SI-GD | Linearity up to 200 g/L | Mineral water | Themelis et al. ( |
| LOD 2.5 μg/L | |||
| LOQ 7.5 μg/L | |||
| GC | |||
| NPD | LOD 0.003 μg/mL–0.5 μg/L | Petrochemical wastewater | Scheneider et al. ( |
| Recovery 76.8–121.5% | Blood | ||
| FTD | MDL 0.021 ppbv | Air (lower atmosphere) | Ambose et al. ( |
| RGD | LOD 30 ppt | Air (stratosphere) | Scheneider et al. ( |
| MS | LOD 0.01–0.2 μg/mL | Mainstream smoke | Marcilla et al. ( |
| Blood | |||
| Urine | |||
| Saliva | |||
| μECD | Recovery 86–116% | Mainstream smoke | Xu et al. ( |
| LOD 0.6 ng/mL | |||
| Linearity 0.0250–15.0 ng/mL | |||
| MS | |||
| SFIT | LOD 1 ppb | Air (atmosphere) | Zhao et al. ( |
| PTR-TOF | – | Engine exhaust | Moussa et al. ( |
| MS/MS | |||
| ESI | LOD 0.001 μg/mL | Urine | Minakata et al. ( |
| LC | LOD 0.5 ng/mL | Mainstream smoke | Mottier et al. ( |
| Polarography | – | Mainstream smoke | Mahernia et al. ( |
| Spectrophotometric method | Recovery 97–109% | Electroplating wastewater | Karlsson and Botz ( |
| HPLC-UV | LOD 0.1 μg/mL | Seed | Bolarinwa et al. ( |
| Capillary electrophoresis/UV spectrometry | LOD 0.002 μg/mL | Urine | Zhang et al. ( |
| Electrochemical method | LOQ 0.10 mg/L | Blood | Ferrari et al. ( |
| GFIT | – | Savannah fire | Paton-Walsh et al. ( |
| The AOAC quantitative titrimetric method | – | SEED | Chove and Mamiro ( |
| Dräger gas detection tube | – | Air in car | Mangnusson et al. ( |
| CIMS | LOD 37 pptv | Air (stratosphere) | Viggiano et al. ( |
| IMRMS | – | Air (stratosphere) | Singh et al. ( |
Application of analytical techniques for the determination of cyanide in various samples
| Determination technique | Type of matrix | |||||
|---|---|---|---|---|---|---|
| Water | Wastewater | Food | Air | Soil | Biological materials | |
| Chromatography | ||||||
| Gas | + | + | + | |||
| Liquid | + | + | + | |||
| Ion | + | + | + | |||
| Spectrophotometric | + | + | + | + | + | + |
| Others | ||||||
| SI-GD | + | |||||
| SFIT | + | |||||
| PTR-TOF | + | |||||
| ESI | + | |||||
| Polarography | + | |||||
| CE | + | |||||
| IMRMS | + | |||||