Concentrations of beneficial nutrients in fish
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Scope
Concentrations of beneficial nutrients in fish describes concentrations of nutrient (such as omega-3 fatty acids (EPA + DHA + fatty acid 18:3 n-3)) in fish.R↻ Concentrations of sea and freshwater fish species are studied separately.
Definition
Data
Concentrations of beneficial nutrients in fish extracted from [1], where they are indicated as mass units/100 g fish analysed.
Concentrations of omega-3 fatty acids in fish extracted from [1], where they are indicated as mass units/100 g fish analysed. Criteria for choosing the fish preparation method used prior the analyses:
- one that is presumed as a common one used by the Finnish consumers (roasting), and
- also as available for most of the fish in the database.
The data for omega-3 fatty acids was reported as mean values of the fish species[2]. D↷
- Omega-3 fatty acids, mg/g, as sum of n-3 PUFA (polyunsaturated fatty acids) precursors ALA (alphalinoleic acid), EPA (eicosapanthenic acid), and DHA (docosahexaenoic acid). DPA (docosapentaenoic acid) not available in the database.
- Omega-3 fatty acids, mg/g, as DHA and EPA only.
- Vitamin D, ug/g
- Vitamin E, mg/g
- Selenium, ug/g
- Iodine, ug/g
- Group B vitamins, mg/g, as sum of B1 (tiamin), B2 (riboflavin), B6 (pyridoxin), B12 (cyanokobalamin) and niacin as its eqvivalents NE. D↷
The most commonly consumed fish species are described: Farmed salmon, wild salmon, herring, white fish, sprat, perch, flounder, pike-perch, bream, pike, vendace and burbot. Concentration data for imported fish in Finland is not available in many cases. D↷
Causality
List of parents:
- None
Unit
Data 1
mass units/100 g fish analysed
Data 2
mg/kg in fresh weight
Data 3
mg/g fish
Formula
Data 1
Analytica_id: <anacode> (((490+232)+491)/100) (17.5/100) (3.1/100) (17.9/100) (45/100) (((((5.7+0.16)+0.02)+11.3)+0.24)/100) (((490+232)+491)/100) (17.5/100) (3.1/100) (17.9/100) (45/100) (((((5.7+0.16)+0.02)+11.3)+0.24)/100) (((669+204)+404)/100) (13.1/100) (2.9/100) (21.9/100) (75.6/100) 0.000e+000 (((388+238)+445)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((441+40)+194)/100) (3/100) (2/100) (22.2/100) (33.9/100) (((((5.4+0.08)+0.09)+1.7)+0.23)/100) (((583+369)+1100)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((3+124)+122)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((413+55)+249)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((5+102)+280)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((539+308)+895)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((13+92)+301)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000 (((225+1014)+2028)/100) 0.000e+000 0.000e+000 0.000e+000 0.000e+000 0.000e+000</anacode>
Data 2
<anacode>Table(Substances,Fishspecies)( (10K*Triangular(1.467,1.577,1.615)),(10K*Triangular(1.467,1.467,1.615)), (10K*Uniform(0.785,1.173)), (10K*Normal(0.783,(0.1*0.783))),(10K*Uniform(0.785,1.173)),(10K*Normal(0.303,(0.1*0.303))), (10K*Normal(0.422,(0.1*0.422))),(10K*Normal(0.406,(0.1*0.406))),(10K*Normal(0.493,(0.1*0.493))), (10K*Normal(0.292,(0.1*0.292))), (10K*Normal(0.751,(0.1*0.751))),(10K*Normal(0.201,(0.1*0.201))), (10K*Triangular(1.467,1.467,1.577)),(10K*Normal(0.783,(0.1*0.783))), (10K*Normal(0.303,(0.1*0.303))), (10K*Normal(0.406,(0.1*0.406))),(10K*Normal(0.493,(0.1*0.493))),(10K*Normal(0.292,(0.1*0.292))), (10K*Normal(0.751,(0.1*0.751))),(10K*Normal(0.201,(0.1*0.201))), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion), (Mercury*Mehg_proportion), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion), (Mercury*Mehg_proportion), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion),(Mercury*Mehg_proportion), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion), (Mercury*Mehg_proportion),(Mercury*Mehg_proportion) ) </anacode>
Narrative description
- There are no separate data for farmed and for wild salmon. Therefore they are assumed to be the same.
- There are no data for vendace(sea), so assumption is that the parameters are the same as vendace(inland)
- There are no data for bream(sea), so assumption is that the parameters are the same as bream(inland)
- There are no data for wild salmon(inland), so assumption is that the parameters are the same as wildsalmon(sea)
First, the mercury data was used to form lognormal distributions for each species with parameters median and geometric standard deviation. Secondly, the proportion of methylmercury from total mercury was taken into account. Methylmercury proportion is assumed to follow triangular distribution (author judgement) with parameters (min=0.81, mode=0.93,max=0,98). D↷
The omega-3 distributions chosen by author judgement. Concentration distributions were formed according to amount of data. a) If 3 or more data points -> triangular distribution, b) if 2 data points -> uniform distribution, c) if 1 data point -> normal distribution D↷
Sprat: omega-3 concentration(sprat) = omega-3 concentration(herring) closely related species, assumed to have similar composition
Data 3
Narrative description
Since there are only mean concentration values available exponential distribution has been chosen to model the concentration of DHA and concentration of EPA in various sea and inland fish species.
Moreover, the Fineli database[1] provides concentrations of nutrients in species caught mostly in the Baltic Sea (except vendace which was caught in inland waters). Thus, the concentration data for some of the species chosen is not available. Therefore, it has been assumed that the DHA (EPA) concentration in sea and freshwater species is the same.
Result
Data 1
Fish species | Omega-3-PUFA contents, mg/g | Vitamin D, ug/g | Vitamin E, mg/g | Selenium, ug/g | Iodine, ug/g | Group B vitamins, mg/g, |
---|---|---|---|---|---|---|
Baltic herring (Clupea harengus membras) | 12.13 | 0.17 | 0.03 | 0.18 | 0.45 | 0.17 |
Herring (Clupea harengus) | 12.13 | 0.17 | 0.03 | 0.18 | 0.45 | 0.17 |
Vendace (Coregonus albula) | 12.77 | 0.13 | 0.03 | 0.22 | 0.76 | 0.00 |
Whitefish (Coregonus lavaretus) | 10.71 | |||||
Pike (Esox lucius) | 6.75 | 0.03 | 0.02 | 0.22 | 0.34 | 0.08 |
Rainbow trout (Onchorhynchus mykiss) | 20.52 | |||||
Shrimp (Pandalus sp.) | 2.49 | |||||
Perch (Perca fluviatilis) | 7.17 | |||||
Saithe (Pollachius virens) | 3.87 | |||||
Atlantic salmon (Salmo salar) | 17.42 | |||||
Pike-perch (Sander lucioperca) | 4.06 | |||||
Tuna (Thunnus thynnus) | 32.67 |
Data 2
Fish species | Omega-3 concentration |
---|---|
Farmed salmon (sea+inland) | 1.553e+004 |
Wild salmon | 1.516e+004 |
Herring(sea) | 9790 |
White fish(sea) | 7830 |
Sprat(sea) | 9790 |
Perch(sea) | 3030 |
Flounder(sea) | 4220 |
Pike-perch(sea) | 4060 |
Bream(sea) | 4930 |
Pike(sea) | 2920 |
Vendace(sea) | 7510 |
Burbot(sea) | 2010 |
Wild salmon(inland) | 1.504e+004 |
White fish(inland) | 7830 |
Perch(inland) | 3030 |
Pike-perch(inland) | 4060 |
Bream(inland) | 4930 |
Pike(inland) | 2920 |
Vendace(inland) | 7510 |
Burbot(inland) | 2010 |
Data 3
Fish species | Mean DHA concentration | Mean EPA concentration |
Baltic Herring | 4.82 | 2.27 |
Vendace(inland) | 4.09 | 2.06 |
Vendace(sea) | 4.09 | 2.06 |
Whitefish(inland) | 4.93 | 2.63 |
Whitefish(sea) | 4.93 | 2.63 |
Pike(inland) | 2.17 | 0.44 |
Pike(sea) | 2.17 | 0.44 |
Perch(inland) | 2.45 | 0.54 |
Perch(sea) | 2.45 | 0.54 |
Atlantic Salmon | 10.02 | 3.45 |
Pike-perch(inland) | 3.01 | 0.92 |
Pike-perch(sea) | 3.01 | 0.92 |