Defluoridation of potable water employed by natural polysaccharide isolated from Tamarindus indica L.

The current study evaluated the effectiveness of Tamarindus indica L. seed polysaccharides in removing fluoride from potable water collected from Sivakasi,Viruthunagar district, Tamil Nadu, India. The physiochemical properties of the water samples were examined, and each parameter was compared to the standard prescribed by Bureau of Indian standards. Most of the parameters were within the permissible limit except for fluoride levels in the Sivakasi water sample. Polysaccharides were isolated from Tamarindus indica L. seeds and the fluoride removal efficacy of the polysaccharides was evaluated. The optimum treatment dosage of the isolated seed polysaccharides was determined using aqueous fluoride solutions of various ppm concentrations (1, 2, 3, 4, and 5 ppm). Tamarindus polysaccharides were added to the aqueous solutions in varying doses (0.02, 0.04, 0.06, 0.08, 1.0, and 1.2 g), and 0.04 g was observed to be the most effective at removing fluoride (by 60%). It was selected as the optimum dose for treating the fluoride-contaminated water sample. Following the treatment, fluoride concentration in the water sample dropped from 1.8 mg/L to 0.91 mg/L, falling below the BIS standard limit. The findings from the study demonstrated the use of T. indica L. seed polysaccharides as an effective natural coagulant for removing fluoride from potable water. GC-MS and FTIR analysis of the isolated polysaccharide samples were performed. The FTIR results revealed the functional groups that might attribute to the fluoride removal activity of the isolated polysaccharides. The observations from the study suggested that Tamarindus polysaccharides might be used as an alternative to chemical agent used for fluoride removal in order to preserve the environment and human welfare.

The importance of big data for healthcare and its usage in clinical statistics of cardiovascular disease.

In the era of technological trends, large statistics have been broadly carried out in diverse businesses, especially healthcare. An extensive amount of data has unfolded new gaps in fitness care. The immense facts in healthcare have the capability to improve healthcare to a higher level. Large records can correctly lessen healthcare problems such as the selection of the appropriate remedy, solution for healthcare, and enhancing the healthcare machine. There are six defining attributes in large data, namely, extent, range, speed, veracity, variability and complexity, and value. Massive information represents an expansion of possibilities that could enhance the performance of healthcare. The large data in healthcare should help in the advanced use of massive data analytics to gain valuable know-how. This large information analytics is used to get valuable facts from all types of sources in healthcare that may be used to take advantage of the data in order to make better choice in healthcare. The massive information analytics can enhance healthcare by discovering institutions and expertise styles and trends in scientific facts. Cardiovascular disorder datasets are massive data in healthcare, and they are used as part of facilitating the system of documenting scientific facts that must be analyzed to offer powerful answers to troubles in fitness care. This paper offers valuable statistics by using massive information analytics from clinical statistics of cardiovascular disease to provide convincing answers for the troubles in healthcare and also to indicate how huge information is essential for healthcare.