Havale Raghavendra, Rao Dhanu G, Shrutha S P, Taj Kausar E, Raj Shiny, Tharay Namratha, Tuppadmath Kanchan M, Mathew Irin
AME's Dental College and Hospital, Raichur, Karnataka, India.
Subbhaiah Dental College and Hospital, Shimoga, Karnataka, India.
J Family Med Prim Care. 2022 Jul;11(7):3546-3552. doi: 10.4103/jfmpc.jfmpc_2382_21. Epub 2022 Jul 22.
A staple food crops have varied role in diet of people living in particular regions of world; hence, it is critical to recognize their productivity. Therefore, the purpose of this study was to estimate fluoride concentration in staple food crops grown in highly fluoridated and non-fluoridated regions and its correlation with soil.
Total 36 samples were collected of which 18 samples consisting of each three samples of rice, redgram and jowar were selected. Likewise 18 corresponding soil samples from both areas were collected. All samples were ashed for 4-6 hours at 550°C in muffle furnace. The samples were allowed to cool, after which 10 ml distilled water was added to each sample and fluoride concentration was determined using ion selective electrode method, before each sample analysis the instrument was standardized using fluoride containing TISAB (III) buffer solution. The data was tabulated and subjected to cross-sectional observational statistical analysis using SPSS software applying unpaired t-test and Pearson's test.
The mean fluoride concentration in crops and soils were rice (0.79 ppm), redgram (4.26 ppm), jowar (8.8 ppm) and in soil of rice (1.23 ppm), redgram (1.23 ppm) and jowar (1.21 ppm) respectively in fluoridated area. Where as in non-fluoridated area rice (0.07 ppm), redgram (0.81 ppm), jowar (0.81 ppm) and in soil of rice (0.61 ppm), redgram (0.07 ppm) and jowar (0.52 ppm) respectively. The resultant correlation between staple food crops with their corresponding soils were found highly significant in both regions with value <0.005; hence, crops in fluoridated region exhibited increased fluoride retention, whereas crops in non-fluoridated region had optimal fluoride levels.
Fluoride concentration in food crops has strong correlation with their respective soils and water irrigation properties.
主要粮食作物在世界特定地区人们的饮食中发挥着不同作用;因此,认识它们的生产力至关重要。所以,本研究的目的是估计在高氟和非氟地区种植的主要粮食作物中的氟化物浓度及其与土壤的相关性。
共采集36个样本,其中选取18个样本,包括水稻、红小豆和高粱各三个样本。同样地,从两个地区采集了18个相应的土壤样本。所有样本在马弗炉中于550°C灰化4 - 6小时。样本冷却后,向每个样本中加入10毫升蒸馏水,并使用离子选择性电极法测定氟化物浓度,在每次样本分析前,使用含氟的TISAB(III)缓冲溶液对仪器进行标准化。数据制成表格,并使用SPSS软件进行横断面观察性统计分析,应用非配对t检验和皮尔逊检验。
在氟化物地区,作物和土壤中的平均氟化物浓度分别为:水稻(0.79 ppm)、红小豆(4.26 ppm)、高粱(8.8 ppm)以及水稻土壤(1.23 ppm)、红小豆土壤(1.23 ppm)和高粱土壤(1.21 ppm)。而在非氟地区,水稻(0.07 ppm)、红小豆(0.81 ppm)、高粱(0.81 ppm)以及水稻土壤(0.61 ppm)、红小豆土壤(0.07 ppm)和高粱土壤(0.52 ppm)。在两个地区,主要粮食作物与其相应土壤之间的相关性均极显著,p值<0.005;因此,氟化物地区的作物氟化物保留量增加,而非氟地区的作物氟化物水平最佳。
粮食作物中的氟化物浓度与其各自的土壤和灌溉水质密切相关。