| Literature DB >> 35917310 |
Chaltu Reta1, Minaleshewa Atlabachew1, Tihitinna Asmellash1, Woldegiorgis Hilluf1, Marie Yayinie1,2, Tessera Alemneh Wubieneh3.
Abstract
Teff [Eragrostis tef (Zuccagni) Trotter] is a small-sized cereal grain and an indigenous crop in Ethiopia. The Amhara region is one of the major teff producers regions in the country. However, information on the phenolic content of the region's teff varieties is limited. Seventy-two teff samples were collected from three administrative zones (West Gojjam zone, Awi zone, and East Gojjam zone) of the Amhara region of Ethiopia. The samples' total polyphenol and flavonoid contents were determined using colorimetric methods. The total flavonoid contents expressed as catechin equivalent, CE (i.e., under alkaline conditions) and quercetin equivalent, Q.E (i.e., under the methanolic solution of AlCl3) were found to be in the range of 7.66 ± 0.60-57.36 ± 3.87 mg C.E and 15.45 ± 0.15-113.12 ± 3.09 mg Q.E per 100 g of teff samples, respectively. The corresponding total polyphenol content (TPC), described as gallic acid equivalent (G.A.E.), was in the range of 46.21 ± 1.20-133.32 ± 5.44 mg G.A.E. The results showed that the mean TPC value of the teff samples from the West Gojjam zone was enriched with polyphenol than samples from the Awi zone and East Gojjam. Furthermore, it was noted that the mean TPC and TFC values did not vary significantly between samples of the East Gojjam and Awi zone (p > 0.05). In contrast, a significant difference in mean TPC and TFC-Q.E were noted between the sampling zone of East Gojjam and West Gojjam and between West Gojjam and Awi zones (p < 0.05). These significant variations in TPC and TFC might be due to observable variations in the agroecological zones and the genetic-make-up of the samples. Person correlation indicated a significant positive correlation matrix between the three variables (p = 0.01). The teff samples were trying to be classified based on their geographical origin using hierarchical cluster analysis (HCA) and biplots. Accordingly, the variance explained by component 1 (PC1) is 67.2%, and the variance explained by component 2 (PC2) is 20.0%.Entities:
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Year: 2022 PMID: 35917310 PMCID: PMC9345355 DOI: 10.1371/journal.pone.0272010
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Map of Amhara regional state administrative zones and sub-districts showing the sampling sites of teff samples.
Fig 2UV-Vis spectra of Gallic acid standard (a) and its calibration curve (b).
Fig 3UV-Vis spectra of Catechin standard (a) and its calibration curve (b).
Fig 4UV-Vis spectra of Quercetin standard (a) and its calibration curve (b).
Concentration (mean±standard deviation) of TPC (mg G.A.E./100g), TFC-C.E (mg C.E./100g), and TFC-Q.E (mg Q.E./100 g) of teff samples from 21 sub-districts of Amhara region.
| zones | Districts | Sub-districts | Types of Teff | Concentration of TPC in mg G.A.E./100g | Concentration of flavonoid in mg C.E. /100g | Concentration of flavonoid in mg Q.E. /100g |
|---|---|---|---|---|---|---|
| East | Aneded | Jamadidik | Kuncho | 70.17±2.42 | 10.36±0.80 | 30.29±0.30 |
| Kuncho | 78.92±6.10 | 19.06±0.43 | 36.86±0.77 | |||
| Kuncho | 53.34±2.78 | 9.89±0.11 | 28.91±1.16 | |||
| Gudalema | Kuncho | 70.30±4.32 | 20.01±0.73 | 30.83±1.78 | ||
| Kuncho | 62.24±0.45 | 16.47±0.73 | 25.37±1.82 | |||
| Kuncho | 64.21±2.12 | 47.91±4.24 | 58.74±4.12 | |||
| Adisge yegewera | Kuncho | 69.43±3.17 | 10.73±0.59 | 24.59±1.23 | ||
| Kuncho | 78.50±1.62 | 11.78±0.05 | 31.95±2.02 | |||
| Kuncho | 70.90±0.43 | 15.83±0.73 | 31.38±0.48 | |||
| Gedaiyesus | Kuncho | 61.30±1.99 | 13.12±0.65 | 25.95±1.17 | ||
| Kuncho | 85.57±4.81 | 22.73±0.15 | 29.83±0.21 | |||
| Kuncho | 78.49±4.66 | 13.73±0.37 | 27.22±0.89 | |||
| Kuncho | 46.21±1.54 | 7.66±0.60 | 15.45±0.15 | |||
| Kuncho | 87.61±5.05 | 14.97±0.14 | 23.77±1.05 | |||
| Kuncho | 82.55±6.57 | 15.87±0.33 | 24.94±1.88 | |||
| Yeidwuha | Kuncho | 64.66±0.68 | 16.80±0.09 | 30.81±0.32 | ||
| Kuncho | 58.06±3.65 | 16.36±1.17 | 23.88±1.54 | |||
| Kuncho | 92.20±3.06 | 15.31±0.45 | 22.62±1.39 | |||
| Weregona akababiw | Kuncho | 75.15±2.48 | 54.30±0.73 | 60.53±5.17 | ||
| Kuncho | 64.49±4.68 | 16.09±0.78 | 29.96±0.42 | |||
| Kuncho | 66.73±2.40 | 14.11±0.45 | 20.60±1.35 | |||
| Weyira gurazem | Kuncho | 79.51±4.47 | 32.57±0.89 | 27.38±0.02 | ||
| Kuncho | 68.00±1.46 | 22.96±0.81 | 29.62±1.46 | |||
| Kuncho | 60.12±3.00 | 17.86±0.35 | 27.16±1.47 | |||
| Huletamiba dibisa | Kuncho | 70.38±0.42 | 22.27±0.28 | 29.64±1.35 | ||
| Kuncho | 77.86±2.57 | 26.37±1.40 | 29.56±1.52 | |||
| Kuncho | 72.33±3.07 | 24.66±0.04 | 29.48±1.05 | |||
| Enekorna Adisamba | Kuncho | 73.81±0.01 | 35.13±1.71 | 36.57±1.21 | ||
| Kuncho | 77.96±5.02 | 32.82±0.95 | 33.93±1.51 | |||
| Kuncho | 79.98±1.90 | 36.62±2.04 | 33.98±1.52 | |||
| West | Gonjikolela | Zanat | Kuncho | 77.14±1.09 | 17.10±0.33 | 36.64±2.66 |
| Kuncho | 77.11±2.55 | 19.12±0.77 | 31.23±2.60 | |||
| Kuncho | 86.34±2.84 | 17.22±0.38 | 46.38±0.60 | |||
| Gonj | Kuncho | 122.63±2.68 | 26.34±0.33 | 50.43±1.14 | ||
| Kuncho | 118.52±1.31 | 35.72±1.58 | 33.08±1.32 | |||
| Kuncho | 66.87±1.77 | 19.02±0.71 | 42.74±1.20 | |||
| Kore tenkere | Kuncho | 51.07±2.26 | 17.34±0.19 | 20.83±1.68 | ||
| Kuncho | 116.89±3.03 | 24.42±0.18 | 60.00±4.28 | |||
| Kuncho | 113.29±8.86 | 31.62±0.82 | 69.52±2.05 | |||
| Mentadeber | Kuncho | 123.00±8.24 | 28.35±0.05 | 81.23±3.77 | ||
| Kuncho | 98.56±5.27 | 19.78±0.61 | 38.39±3.41 | |||
| Kuncho | 105.26±1.53 | 18.78±0.50 | 79.30±2.22 | |||
| Adet/ Yilmanadensa | kilelet | Kuncho | 110.10±4.31 | 26.36±1.67 | 40.57±1.67 | |
| Kuncho | 108.91±2.67 | 19.15±0.90 | 57.98±4.34 | |||
| Kuncho | 128.51±1.20 | 24.14±1.58 | 58.51±1.27 | |||
| Adet zuria | Kuncho | 92.02±2.03 | 25.37±0.48 | 87.74±1.98 | ||
| Kuncho | 89.66±2.05 | 30.45±1.03 | 78.52±2.05 | |||
| Mosbo | Kuncho | 46.60±1.20 | 15.94±0.93 | 37.19±2.77 | ||
| Kuncho | 78.12±2.81 | 28.93±2.50 | 48.20±4.11 | |||
| Kuncho | 90.95±7.86 | 22.59±0.46 | 53.28±0.40 | |||
| Kuncho | 94.99±2.10 | 19.50±0.22 | 74.90±3.48 | |||
| Awi | Zigam | Gisayita | Brown (mixed) | 104.44±3.42 | 35.58±1.70 | 48.31±1.90 |
| Brown (mixed) | 133.32±5.44 | 57.36±3.87 | 113.12±3.09 | |||
| Brown (mixed) | 117.44±2.50 | 34.04±2.52 | 42.66±1.55 | |||
| Tseday | 72.94±1.63 | 18.03±0.49 | 60.39±2.27 | |||
| Tseday | 70.54±0.64 | 17.68±0.63 | 36.61±2.52 | |||
| Tseday | 98.58±4.16 | 23.48±0.24 | 30.74±2.36 | |||
| Red | 86.32±0.25 | 26.80±1.96 | 80.18±0.09 | |||
| Red | 80.25±2.92 | 50.93±2.90 | 73.80±2.97 | |||
| Red | 80.24±0.91 | 48.25±3.30 | 73.64±4.94 | |||
| Zigam town | Tseday | 68.52±1.14 | 18.63±1.65 | 37.49±0.86 | ||
| Tseday | 75.56±3.21 | 17.42±0.29 | 39.66±3.02 | |||
| Tseday | 69.80±3.62 | 19.29±0.01 | 38.32±3.65 | |||
| Ahiti | Tseday | 75.44±4.08 | 16.29±0.46 | 44.10±1.90 | ||
| Tseday | 68.86±0.32 | 21.38±0.36 | 33.48±2.02 | |||
| Tseday | 75.55±2.73 | 20.54±0.59 | 57.22±0.86 | |||
| Gagasta | Tseday | 88.80±3.58 | 21.50±1.78 | 37.13±0.43 | ||
| Tseday | 58.92±1.73 | 11.33±0.58 | 35.39±1.34 | |||
| Tseday | 53.77±2.21 | 17.78±0.68 | 30.38±1.68 | |||
| GudarJawi | Tseday | 66.29±0.68 | 15.88±0.54 | 23.05±1.05 | ||
| Tseday | 62.22±2.68 | 18.18±0.88 | 31.52±0.73 | |||
| Tseday | 64.01±0.52 | 20.04±0.72 | 34.18±2.51 |
Analysis of variance (ANOVA) among 72 teff samples from three among three administrative zones.
| ANOVA test | ||||||
|---|---|---|---|---|---|---|
| Sum of Squares | Degree of freedom | Mean Square | F- value | Significance test | ||
| TPC-GA | Between Groups | 10045 | 2 | 5022 | 30.38 |
|
| Within Groups | 11407 | 69 | 165 | |||
| Total | 21451 | 71 | ||||
| TFC -CE | Between Groups | 216 | 2 | 108 | 2.54 | 0.08 |
| Within Groups | 2928 | 69 | 42.43 | |||
| Total | 3143 | 71 | ||||
| TFC-QE | Between Groups | 10333 | 2 | 5167 | 30.78 |
|
| Within Groups | 11581 | 69 | 168 | |||
| Total | 21915 | 71 | ||||
*Significant at p < 0.05 by using ANOVA test.
Fig 5Variation of phenolic contents with error bar graphs based on their administrative zones at a confidence interval of 95%.
Fig 6Pearson correlation matrix of teff samples variables (72 samples × 3 variables).
Fig 7Dendrogram from agglomerative hierarchical cluster analysis of 72 teff samples using phenolic parameters.
Fig 8Biplot of the phenolic observations and variables based on geographic origins.