| Literature DB >> 35742006 |
Alongkote Singhato1, Kunchit Judprasong2, Piyanut Sridonpai2, Nunnapus Laitip3, Nattikarn Ornthai3, Charun Yafa3, Chanika Chimkerd2.
Abstract
Although fish are good sources of selenium (Se), an essential trace element for the human body, very limited data exist on Se content in commonly consumed fish in Thailand. Consequently, this study investigated selenium content and the effect of cooking among 10 fish species (5 freshwater and 5 marine) most-commonly consumed by the Thai people. The fish were purchased from three representative wholesale markets within or nearby to Bangkok. All fish species were prepared to determine their edible portions (EP) and moisture contents. Total Se in fresh, boiled, and fried fish were analysed using Inductively Coupled Plasma-Triple Quadrupole-Mass Spectrometry (ICP-QQQ-MS). In general, higher levels of Se were found in marine fish (37.1-198.5 µg/100 g EP in fresh fish, 48.0-154.4 µg/100 g EP in boiled fish, and 52.9-262.4 µg/100 g EP in fried fish) compared to freshwater fish (6.9-29.4 µg/100 g EP in fresh fish, 10.1-26.5 µg/100 g EP in boiled fish, and 13.7-43.8 µg/100 g EP in fried fish). While Longtail tuna showed significantly higher Se content than other fish (p < 0.05), boiled Longtail tuna had significantly lower true retention of Se than the other fish (p < 0.05). Most fish species retained a high level of selenium (ranged 64.1-100.0% true retention in boiling and frying). Longtail tuna, Short-bodied mackerel, Indo-pacific Spanish mackerel, Nile tilapia, and red Nile tilapia-cooked by boiling and frying-are recommended for consumption as excellent sources of selenium.Entities:
Keywords: effect of cooking on selenium retention; essential trace elements; fish consumption; selenium content
Year: 2022 PMID: 35742006 PMCID: PMC9222360 DOI: 10.3390/foods11121808
Source DB: PubMed Journal: Foods ISSN: 2304-8158
The selected top 10 most-commonly consumed fish used in this study.
| Common Name | Fish with Scale | Scientific Name | Local Name | Purchase |
|---|---|---|---|---|
| (Month/Year) | ||||
| Fresh water fish: | ||||
| Common silver barb | Yes |
| Pla-ta-pian | Sep. 2018 |
| Nile tilapia | Yes |
| Pla-nin | Aug. 2018 |
| Red Nile tilapia | Yes |
| Pla-tub-tim | Aug. 2018 |
| Striped snakehead | Yes |
| Pla-chon | Aug. 2018 |
| Walking catfish | No |
| Pla-duk | Aug. 2018 |
| Marine Fish: | ||||
| Giant sea perch | Yes |
| Pla-kha-pong-khaw | Sep. 2018 |
| Indo-pacific Spanish mackerel | Yes |
| Pla-in-see | Sep. 2018 |
| Long tail tuna | No |
| Pla-O | Dec. 2018 |
| Pangasius Dory | No |
| Pla-dolly | Nov. 2018 |
| Short-bodied mackerel | No |
| Pla-tu | Sep. 2018 |
Parameters used for digestion and analysis of selenium.
| Methods | Setting | |
|---|---|---|
| Microwave system parameter: | ||
| Estimated sample weight | 0.5 g | |
| Starting pressure | 40 bar | |
| Pressure | 160 bar | |
| Step time | Step 1: 25–220 °C 20 min | |
| Cooling temperature | 50 °C | |
| Pressure release rate | 8.0 bar/min | |
| ICP-QQQ-MS parameter: | He mode | O2 mode |
| RF power | 1550 W | |
| Sampling depth | 8 mm | |
| Carrier gas flow rate | 1.05 L min−1 | |
| Makeup gas flow rate | 0.2 L min−1 | |
| 3 mL/min | 30% | |
| Monitor masses | 77Se, 78Se, 82Se, 78Se16O+, 80Se16O+, 82Se16O+ | |
Percentage of edible portion, yield factor, and moisture content of three individual sets from each type of freshwater fish, data expressed as mean ± SD (n = 3).
| Fish Name | Type of Sample | Edible Portion (%) | Yield Factor | Moisture (g/100 g) | Se concentration (µg/100 g of Product) | True Retention of Se (%) |
|---|---|---|---|---|---|---|
| Common silver barb | Fresh (with skin) | 50 ± 7 | - | 74 ± 3.2 | 9.9 ± 6.8 | - |
| Boiled (with skin) | 56 ± 3 | 0.8 ± 0.0 | 71 ± 1.1 | 17.5 ± 2.9 | 100.0 ± 0.0 | |
| Fried (with skin) | 41 ± 9 | 0.5 ± 0.0 | 40 ± 2.7 | 37.7 ± 10.4 | 100.0 ± 0.0 | |
| Nile tilapia | Fresh (with skin) | 46 ± 6 | - | 76 ± 1.8 | 18.4 ± 4.2 | - |
| Boiled (with skin) | 53 ± 4 | 0.9 ± 0.0 | 73 ± 1.1 | 26.5 ± 10.9 | 100.0 ± 0.0 | |
| Fried (with skin) | 39 ± 3 | 0.7 ± 0.0 | 57 ± 0.6 | 34.9 ± 18.4 | 100.0 ± 0.0 | |
| Red tilapia | Fresh (with skin) | 50 ± 2 | - | 73 ± 0.4 | 12.4 ± 6.7 | - |
| Boiled (with skin) | 60 ± 7 | 0.9 ± 0.0 | 70 ± 2.3 | 22.6 ± 4.3 | 100.0 ± 0.0 | |
| Fried (with skin) | 44 ± 5 | 0.7 ± 0.0 | 59 ± 3.0 | 37.2 ± 5.7 | 100.0 ± 0.0 | |
| Striped snakehead | Fresh (with skin) | 50 ± 3 | - | 74 ± 0.4 | 29.4 ± 11.4 | - |
| Boiled (with skin) | 56 ± 4 | 0.9 ± 0.0 | 72 ± 1.3 | 22.2 ± 3.8 | 70.5 ± 1.2 | |
| Fried (with skin) | 41 ± 3 | 0.7 ± 0.0 | 57 ± 1.1 | 43.8 ± 6.5 | 98.2 ± 5.8 | |
| Walking catfish | Fresh (skinless) | 51 ± 6 | - | 68 ± 0.6 | 13.1 ± 7.2 | - |
| Boiled (skinless) | 58 ± 2 | 0.9 ± 0.0 | 64 ± 2.3 | 19.4 ± 1.6 | 100.0 ± 0.0 | |
| Fried (skinless) | 41 ± 4 | 0.8 ± 0.0 | 54 ± 7.8 | 26.3 ± 9.3 | 100.0 ± 0.0 |
Percentage of edible portion, yield factor, and moisture content of 3three individual sets from each type of marine fish, data expressed as mean ± SD (n = 3).
| Fish Name | Type of Sample | Edible Portion (%) | Yield Factor | Moisture (g/100 g) | Se concentration (µg/100 g of Product) | True Retention of Se (%) |
|---|---|---|---|---|---|---|
| Giant sea perch | Fresh (with skin) | 54 ± 3 | - | 74 ± 3.0 | 37.1 ± 8.4 | - |
| Boiled (with skin) | 65 ± 3 | 0.8 ± 0.2 | 73 ± 1.8 | 48.0 ± 21.2 | 100.0 ± 0.0 | |
| Fried (with skin) | 43 ± 3 | 0.7 ± 0.0 | 54 ± 2.0 | 52.9 ± 10.5 | 74.1 ± 1.7 | |
| Indo-pacific Spanish mackerel | Fresh (with skin) | 83 ± 5 | - | 75 ± 0.3 | 73.7 ± 8.7 | - |
| Boiled (with skin) | 73 ± 0 | 0.6 ± 0.0 | 71 ± 2.1 | 72.6 ± 10.0 | 78.8 ± 0.0 | |
| Fried (with skin) | 60 ± 0 | 0.8 ± 0.0 | 58 ± 1.5 | 115.5 ± 5.1 | 100.0 ± 0.0 | |
| Longtail tuna | Fresh (skinless) | 66 ± 2 | - | 71 ± 2.2 | 198.5 ± 49.51 | - |
| Boiled (skinless) | 58 ± 1 | 0.8 ± 0.0 | 68 ± 2.9 | 154.4 ± 44.5 | 64.4 ± 4.9 | |
| Fried (skinless) | 52 ± 3 | 0.8 ± 0.0 | 61 ± 0.6 | 262.4 ± 72.9 | 100.0 ± 0.0 | |
| Pangasius Dory | Fresh (skinless) | 68 ± 0 | - | 86 ± 0.7 | 6.9 ± 2.1 | - |
| Boiled (skinless) | 79 ± 2 | 0.8 ± 0.2 | 85 ± 1.5 | 10.1 ± 0.5 | 100.0 ± 0.0 | |
| Fried (skinless) | 58 ± 0 | 0.6 ± 0.0 | 74 ± 1.9 | 13.7 ± 2.7 | 100.0 ± 0.0 | |
| Short-bodied mackerel | Fresh (skinless) | 52 ± 5 | - | 76 ± 1.8 | 108.8 ± 14.7 | - |
| Boiled (skinless) | 47 ± 3 | 0.8 ± 0.0 | 71 ± 2.4 | 109.1 ± 28.4 | 88.8 ± 0.0 | |
| Fried (skinless) | 41 ± 3 | 0.8 ± 0.1 | 67 ± 4.9 | 76.9 ± 20.5 | 64.1 ± 0.0 |
Figure 1The combined effects of different species of fish and cooking methods on Se concentration (A) and on the percentage of true retention (B).
Estimated marginal means of interaction effect of species of fish and cooking methods on Se content and true retention of Se (calculated from two-way ANOVA) (n = 3).
| Common Name | Se Content (μg/100 g of Product, | True Retention of Se | ||
|---|---|---|---|---|
| Boiled | Fried | Boiled | Fried | |
| Common silver barb | 17.6 ± 3.0 i,l | 37.8 ± 10.4 f,m | 100.0 ±1.5 a,k,l | 100.0 ± 1.5 a,k |
| Nile tilapia | 26.5 ± 10.9 e,l | 34.9 ± 18.4 h,l,m | 100.0 ± 1.2 b,k | 100.0 ± 1.2 b,k |
| Red Nile tilapia | 22.6 ± 4.4 f,l | 37.3 ± 5.8 g,l,m | 100.0 ± 1.5 c,k,l | 100.0 ± 1.5 c,k |
| Striped snakehead | 22.2 ± 3.9 g,l | 43.8 ± 6.5 e,l,m | 70.7 ± 1.2 i | 96.8 ± 1.2 h,k |
| Walking catfish | 19.4 ± 1.7 h,l | 26.3 ± 9.3 i,l,m | 100.0 ± 1.2 d,k,l | 100.0 ± 1.2 d,k |
| Giant sea perch | 48.0 ± 21.3 d,l | 52.9 ± 10.6 d,m | 100.0 ± 1.5 e,k,l | 74.1 ± 1.5 i |
| Indo-pacific Spanish mackerel | 72.7 ± 10.1 c,k | 115.6 ± 5.1 b,k | 78.8 ± 1.5 h,l | 100.0 ± 1.5 e,k |
| Longtail tuna | 154.4 ± 44.6 a,k | 262.4 ± 72.9 a | 64.4 ± 1.5 j | 100.0 ± 1.5 f,k |
| Pangasius Dory | 10.1 ± 0.5 j,l | 13.7 ± 2.7 j,m | 96.2 ± 1.5 f,k,l | 100.0 ± 1.5 g,k |
| Short-bodied mackerel | 109.2 ± 28.4 b,k | 76.9 ± 20.5 c,k,l | 88.8 ± 1.5 g,l | 64.1 ± 1.5 j |
Estimated marginal means values with the different superscript letters in the same column were significantly different for a given variable (p < 0.05 two-way ANOVA followed by Tukey’s HSD post hoc multiple comparisons).
Estimated marginal means of Se concentration and percentage of Se true retention by the main effects of different species of fish and cooking methods (calculated from two-way ANOVA) (n = 3).
| Common Name | Estimated Marginal Means ± Standard Error | |
|---|---|---|
| Se (μg/100 g of Product) | True Retention (%) | |
| Different species of Fish: | ||
| Common silver barb | 27.6 ± 13.2 c | 100.0 ± 5.4 a |
| Nile tilapia | 30.7 ± 14.2 c | 100.0 ± 4.4 a |
| Red Nile tilapia | 29.9 ± 9.4 c | 100.0 ± 5.4 a |
| Striped snakehead | 33.0 ± 12.7 c | 83.7 ± 4.4 b,c |
| Walking catfish | 22.8 ± 7.0 c | 100.0 ± 4.4 a |
| Giant sea perch | 47.9 ± 14.7 c | 87.0 ± 5.4 b |
| Indo-pacific Spanish mackerel | 89.7 ± 28.1 b | 89.4 ± 7.6 b |
| Longtail tuna | 208.4 ± 79.4 a | 82.2 ± 5.4 b,c |
| Pangasius Dory | 11.3 ± 2.1 d | 97.4 ± 6.2 a |
| Short-bodied mackerel | 80.7 ± 3.2 b | 76.5 ± 7.6 c |
| Cooking methods in different species of fish: | ||
| Fresh | 46.0 ± 55.7 b | - |
| Boiling | 44.8 ± 44.7 c | 90.5 ± 13.9 b |
| Frying | 65.4 ± 66.0 a | 95.1 ± 10.8 a |
Values with different superscript letters of species of fish or cooking methods in the same column were significantly different for a given variable (p < 0.05 two-way ANOVA followed by Tukey’s HSD post hoc multiple comparisons).