| Literature DB >> 34957376 |
Desta Woldetsadik1, Eulogio J Llorent-Martínez2, Solomie Gebrezgabher3, Mary Njenga4,5, Ruth Mendum6, Roxana Castillo-López2, Maria L Fernández-de Córdova2, Hillette Hailu1, Colby T Evans7, Nelly Madani7, Tamlyn P Mafika7, David E B Fleming7.
Abstract
Kitchen gardening is considered a way to reconnect with agriculture and complement the cereal-based relief food offered to refugees in East Africa. This work aimed at profiling mineral content of okra in four refugee camps and settlements located in Ethiopia and Uganda and its contribution to adequate intake (AIs) or recommended dietary allowances (RDAs) for young children and pregnant and lactating women (PLW). The study also evaluated the applicability of portable X-ray fluorescence (PXRF) as compared with inductively coupled plasma mass spectrometry (ICP-MS) for mineral profiling of okra powder samples. The contents of minerals (mg kg-1) from the ICP-MS readings were in the following ranges: K (14,385-33,294), Ca (2610-14,090), P (3178-13,248), Mg (3896-7986), Cu (3.81-19.3), Fe (75.7-1243), Zn (33-141) and Mn (23.1-261). Regardless of geographic origin, at low-end consumption probability (17 g day-1 for young children and 68 g day-1 for PLW), okra could contribute ˂ 15% (2.7-12.9%) AI for macro-minerals (K and Ca). In addition, the contributions to RDA values for Fe and Zn, elements of known public health interest, ranged from 4.5 to 34.7% for young children. Interestingly, regression lines revealed strong agreement between ICP-MS and PXRF readings for Mn and Zn, with R2 values > 0.91. This information is useful in support of nutrition-sensitive kitchen gardening programs through scaling culturally important crops in refugee settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42452-021-04898-6.Entities:
Keywords: East Africa; ICP-MS; Minerals; Okra; PXRF; Refugee camps and settlements
Year: 2021 PMID: 34957376 PMCID: PMC8689287 DOI: 10.1007/s42452-021-04898-6
Source DB: PubMed Journal: SN Appl Sci ISSN: 2523-3963
Fig. 1Sun drying of okra by refugees in Rhino camp in Arua, Uganda
Fig. 2Refugee population in Gambella region, Ethiopia [53]
Fig. 3Refugee population in Uganda [59]
UNHCR refugee population characteristics (%) in the study refugee camps and settlements in Ethiopia and Uganda
| Country of origin | Ethiopia | Uganda | ||
|---|---|---|---|---|
| Tierkidi | Kule | Rhino | Imvepi | |
| South Sudan | 99.99 | 99.99 | 96.81 | 95.92 |
| Democratic Republic of Congo | – | – | 2.45 | 4.04 |
| Others | 0.0000 | 0.01 | 0.74 | 0.04 |
Source: [62–65]
Fig. 4Box plots of ICP-MS measurements for elemental contents (mg kg−1 dw) of okra from refugee settlements and camps in East Africa. The values at the top indicate the mean and the range. The line in each box represents the median concentration result, while the bottom and top of the box signify the first and third quartiles, respectively. The whiskers are the lines that extend from the bottom and top of the box to lower and upper bounds calculated from the data. Values outside these limits represent outliers
Percentage contribution to AI/RDA through the consumption of 68 g and 17 g fresh okra by PLW aged between 19 and 30 years and young children aged between 1 and 3 years, respectively (low-end consumption probabilities) and the consumption of 169 g and 42 g fresh okra by PLW aged between 19 and 30 years and infants aged between 1 and 3 years, respectively (high-end consumption probabilities), in a refugee context in East Africa. The estimation is based on ICP-MS data
| Mineral | AIα/RDA | Consumption probability | % contribution | ||
|---|---|---|---|---|---|
| Life stages | mg/person/day | Ethiopia | Uganda | ||
| Kα | Children | 3000 | Low-end consumption probability | 2.8 | 2.7 |
| High-end consumption probability | 6.8 | 6.7 | |||
| Pregnancy | 4700 | Low-end consumption probability | 7.0 | 6.9 | |
| High-end consumption probability | 17.4 | 17.1 | |||
| Lactation | 5100 | Low-end consumption probability | 6.5 | 6.3 | |
| High-end consumption probability | 16.2 | 15.7 | |||
| Caα | Children | 500 | Low-end consumption probability | 4.3 | 6.4 |
| High-end consumption probability | 10.7 | 15.9 | |||
| Pregnancy | 1000 | Low-end consumption probability | 8.6 | 12.9 | |
| High-end consumption probability | 21.4 | 32.1 | |||
| Lactation | 1000 | Low-end consumption probability | 8.6 | 12.9 | |
| High-end consumption probability | 21.4 | 32.1 | |||
| P | Children | 460 | Low-end consumption probability | 8.0 | 3.2 |
| High-end consumption probability | 19.8 | 8.0 | |||
| Pregnancy | 700 | Low-end consumption probability | 21 | 8.5 | |
| High-end consumption probability | 52.3 | 21.2 | |||
| Lactation | 700 | Low-end consumption probability | 21 | 8.5 | |
| High-end consumption probability | 52.3 | 21.2 | |||
| Mg | Children | 80 | Low-end consumption probability | 28.5 | 20.2 |
| High-end consumption probability | 70.5 | 49.7 | |||
| Pregnancy | 350 | Low-end consumption probability | 26.1 | 18.4 | |
| High-end consumption probability | 64.8 | 45.7 | |||
| Lactation | 310 | Low-end consumption probability | 29.5 | 20.8 | |
| High-end consumption probability | 57.4 | 40.5 | |||
| Mnα | Children | 1.2 | Low-end consumption probability | 17.7 | 8.5 |
| High-end consumption probability | 43.8 | 21 | |||
| Pregnancy | 2 | Low-end consumption probability | 42.5 | 20.4 | |
| High-end consumption probability | 106 | 50.7 | |||
| Lactation | 2.6 | Low-end consumption probability | 32.7 | 15.7 | |
| High-end consumption probability | 81.3 | 39 | |||
| Fe | Children | 7 | Low-end consumption probability | 5.3 | 14 |
| High-end consumption probability | 13.2 | 34.7 | |||
| Pregnancy | 27 | Low-end consumption probability | 5.5 | 14.5 | |
| High-end consumption probability | 13.7 | 36 | |||
| Lactation | 9 | Low-end consumption probability | 16.6 | 43.4 | |
| High-end consumption probability | 41.3 | 108 | |||
| Zn | Children | 3 | Low-end consumption probability | 10.3 | 4.5 |
| High-end consumption probability | 25.4 | 11.1 | |||
| Pregnancy | 11 | Low-end consumption probability | 11.2 | 4.9 | |
| High-end consumption probability | 27.8 | 12.1 | |||
| Lactation | 12 | Low-end consumption probability | 10.3 | 4.5 | |
| High-end consumption probability | 25.6 | 11.1 | |||
| Cu | Children | 0.34 | Low-end consumption probability | 14.2 | 9.4 |
| High-end consumption probability | 35.1 | 23.1 | |||
| Pregnancy | 1 | Low-end consumption probability | 19.3 | 12.7 | |
| High-end consumption probability | 48 | 31.6 | |||
| Lactation | 1.3 | Low-end consumption probability | 14.9 | 9.8 | |
| High-end consumption probability | 36.9 | 24.3 | |||
AI (adequate intake) or RDA (recommended dietary allowance) established by the Food and Nutrition Board of the Institute of Medicine (IOM) [75–77]
Quality levels of the PXRF data based on the US EPA's quality ranking [78]
| Analyte | ICP-MS- determined concentration range (mg kg−1) | PXRF- determined concentration range (mg kg−1) | R2 | RSD | Data quality level |
|---|---|---|---|---|---|
| K | 14,385–33,294 | 9768–37,226 | 0.27 | 13.7 | Qualitative |
| Ca | 2610–14,090 | 1851–15,402 | 0.66 | 16.4 | Qualitative |
| Fe | 75.7–1243 | 36–745 | 0.69 | 27.7 | Qualitative |
| Zn | 33–141 | 18.9–132 | 0.92 | 10 | Definitive |
| Mn | 23.1–261 | 17.8–190 | 0.96 | 9.4 | Definitive |
Total number of paired samples in which both the ICP-MS and PXRF analyzers detected the specified analyte were 48
Fig. 5Regression curves correlating the ICP-MS and PXRF measurements for K, Ca, Fe, Zn and Mn (mg kg−1 dw)