Fluoride Concentration In Dentifrices Marketed In Argentina

2021 ◽  
Author(s):  
Lídia Audrey Rocha Valadas ◽  
Ana Laura Sorazabal ◽  
Paulo Andres Salgado ◽  
Angela Beatriz Argentieri ◽  
Aldo Squassi
Keyword(s):  
Fluoride Concentration

Fluoride Accumulation in Groundwater from Semi-arid Part of Deccan Volcanic Province, India: A Cause of Urolithiasis Outbreak

2017 ◽  
Vol 1 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Sanjay Kale ◽  
N. J. Pawar
Keyword(s):  
Medical Records ◽  
Fluoride Concentration ◽  
Data Generation ◽  
Deccan Volcanic Province ◽  
Temporal And Spatial Distribution ◽  
Volcanic Province ◽  
Fluoride Accumulation ◽  
Hot Days ◽  
Geochemical Investigation ◽  
Relationship Of

Groundwater fluoride and health problem was meticulously studied for dental and skeleton fluorosis except few studies on urolithiasis. Urolithiasis is multi-factorial disease and excess fluoride consumption is one of the causal factors. In view of this, increase of fluoride in groundwater is reported in semiarid Deccan Volcanic Province (DVP), India. To understand the fluoride and urolithiasis association, present study was carried out in Karha river basin of DVP region. Three stages of data generation were adopted for present study such as procuring of medical records of urolithiasis, previous groundwater chemistry data and geochemical investigation of 50 groundwater samples from representative villages. Further, these variables were used for correlation analysis, temporal and spatial distribution to find out their relationships. Result shows medical records of hospitals indicating the gradual increase in urolithiasis is reported during drought situations. In temporal variation, annual fluoride concentration of groundwater and hot days are positively correlated with annual urolith patients as well as spatial study supports the same. In conclusion, present study highlights the relationship of urolith formation with number of hot days, groundwater electrical conductivity and fluoride. However, detailed biomedical study may lead towards understanding of fluoride- urolithiasis relationship.

Plasma fluoride concentration in infants receiving long-term peritoneal dialysis

1989 ◽  
Vol 115 (3) ◽  
pp. 436-439 ◽  
Author(s):  
Bradley A. Warady ◽  
Mark Koch ◽  
Durl W. O'Neal ◽  
Marian Higginbotham ◽  
David J. Harris ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Fluoride Concentration

Coherent surface structure induces unique epitaxial overgrowth of metastable octacalcium phosphate on stable hydroxyapatite at critical fluoride concentration

2021 ◽  
Vol 125 ◽  
pp. 333-344
Author(s):  
Kazuo Onuma ◽  
Mari M. Saito ◽  
Yasuo Yamakoshi ◽  
Mayumi Iijima ◽  
Yu Sogo ◽  
...  
Keyword(s):  
Surface Structure ◽  
Fluoride Concentration ◽  
Octacalcium Phosphate

Naked eye detection and measurement of fluoride concentration in groundwater using novel synthesized receptor

2021 ◽  
Vol 328 ◽  
pp. 112776
Author(s):  
Yogendra Singh Solanki ◽  
Priya Yadav ◽  
Madhu Agarwal ◽  
Ragini Gupta ◽  
Sanjeev Gupta ◽  
...  
Keyword(s):  
Fluoride Concentration ◽  
Eye Detection ◽  
Naked Eye ◽  
Naked Eye Detection

Fluoride concentration in SDF commercial products

2021 ◽  
Author(s):  
CPM Tabchoury ◽  
JA Cury ◽  
AL Soares‐Yoshikawa
Keyword(s):  
Fluoride Concentration ◽  
Commercial Products

scholarly journals Public-health risks from tea drinking: Fluoride exposure

2021 ◽  
pp. 140349482199028
Author(s):  
Nimisha Krishnankutty ◽  
Tina Storgaard Jensen ◽  
Jeannett Kjær ◽  
Jan Stener Jørgensen ◽  
Flemming Nielsen ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Direct Method ◽  
Fluoride Concentration ◽  
First Trimester ◽  
Tea Consumption ◽  
Spot Urine ◽  
Fluoride Exposure ◽  
Tea Infusions ◽  
Tea Drinking ◽  
New Evidence

Aims: Due to new evidence on fluoride neurotoxicity during early life, this study examined maternal exposure to fluoride through tea consumption in a low-fluoride region and measured fluoride releases from commercially available teas (tea bags and loose teas) to determine the need to limit fluoride exposure. Methods: Maternal urine fluoride (MUF) concentrations were measured in spot urine samples ( N=118) from first-trimester pregnant women and in prepared tea infusions made with deionised water from 33 brand teas and 57 loose-tea products, as determined by the direct method of using a fluoride-selective electrode. Results: The fluoride concentration in the local drinking water supplies ranged from 0.10 to 0.18 mg/L, and the creatinine-adjusted MUF ranged from 0.09 to 1.57 mg/L. Seventeen per cent of the women were daily tea drinkers, and their MUFs were higher than those with no consumption ( p=0.002). The fluoride concentration from tea bags ranged from 0.34 to 2.67 mg/L, while loose teas showed 0.72–4.50 mg/L (black), 0.56–1.58 mg/L (oolong), 1.28–1.50 mg/L (green), and 0.33–1.17 mg/L (white tea). Conclusions: Fluoride exposure among pregnant women increases with tea consumption, with likely risks of developmental neurotoxicity to their children. As the fluoride release from tea varies widely, the fluoride concentration should be indicated on tea packages in order to allow consumers to make informed decisions on minimising their fluoride exposure.

scholarly journals Supervised committee machine with artificial intelligence for prediction of fluoride concentration

2013 ◽  
Vol 15 (4) ◽  
pp. 1474-1490 ◽  
Author(s):  
Ata Allah Nadiri ◽  
Elham Fijani ◽  
Frank T.-C. Tsai ◽  
Asghar Asghari Moghaddam
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Ground Water ◽  
Intelligent System ◽  
Fluoride Concentration ◽  
Mixing Zone ◽  
Ann Model ◽  
Committee Machine ◽  
Hydrogeological Characteristics ◽  
Model Predictions

The study introduces a supervised committee machine with artificial intelligence (SCMAI) method to predict fluoride in ground water of Maku, Iran. Ground water is the main source of drinking water for the area. Management of fluoride anomaly needs better prediction of fluoride concentration. However, the complex hydrogeological characteristics cause difficulties to accurately predict fluoride concentration in basaltic formation, non-basaltic formation, and mixing zone. SCMAI predicts fluoride by a nonlinear combination of individual AI models through an artificial intelligent system. Factor analysis is used to identify effective fluoride-correlated hydrochemical parameters as input to AI models. Four AI models, Sugeno fuzzy logic, Mamdani fuzzy logic, artificial neural network (ANN), and neuro-fuzzy are employed to predict fluoride concentration. The results show that all of these models have similar fitting to the fluoride data in the Maku area, and do not predict well for samples in the mixing zone. The SCMAI employs an ANN model to re-predict the fluoride concentration based on the four AI model predictions. The result shows improvement to the CMAI method, a committee machine with the linear combination of AI model predictions. The results also show significant fitting improvement to individual AI models, especially for fluoride prediction in the mixing zone.

Effects of operational parameters on defluoridation efficiency using electrocoagulation process

2011 ◽  
Vol 6 (1) ◽  
Author(s):  
M. Behbahani ◽  
M.R. Alavi Moghaddam ◽  
M. Arami
Keyword(s):  
Reaction Time ◽  
Anode Material ◽  
Removal Efficiency ◽  
Fluoride Concentration ◽  
Fluoride Removal ◽  
Operational Parameters ◽  
Applied Current ◽  
Initial Ph ◽  
Electrocoagulation Process ◽  
Electrode Connection

The aim of this study is to examine the effect of operational parameters on fluoride removal using electrocoagulation method. For this purpose, various operational parameters including initial pH, initial fluoride concentration, applied current, reaction time, electrode connection mode, anode material, electrolyte salt, electrolyte concentration, number of electrodes and interelectrode distance were investigated. The highest defluoridation efficiency achieved at initial pH 6. In the case of initial fluoride concentration, maximum removal efficiency (98.5%) obtained at concentration of 25mg/l. The increase of applied current and reaction time improved defluoridation efficiency up to 99%. The difference of fluoride removal efficiencies between monopolar and bipolar series and monopolar parallel were significant, especially at reaction time of 5 min. When aluminum used as anode material, higher removal efficiency (98.5%) achieved compared to that of iron anode (67.7%). The best electrolyte salt was NaCl with the maximum defluoridation efficiency of 98.5% compared to KNO3 and Na2SO4. The increase of NaCl had no effect on defluoridation efficiency. Number of electrodes had little effect on the amounts of Al3+ ions released in the solution and as a result defluoridation efficiency. Almost the same fluoride removal efficiency obtained for different interelectrode distances.

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