Your browser doesn't support javascript.
loading
Establishment and evaluation of a high-throughput and rapid method for detection of fluorine content in water based on microplate reader / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 692-696, 2020.
Article in Chinese | WPRIM | ID: wpr-866182
ABSTRACT

Objective:

To study and establish a high-throughput and rapid detection method for fluorine ion content in water based on 96-well plate and microplate reader, and to evaluate its performance.

Methods:

According to the principle of blue ternary complex formed by reaction of fluorine ion with fluorine reagent and lanthanum nitrate, the absorbance of the complex at the wavelength of 650 nm was proportional to the concentration of fluoride ion, and the content of fluoride ion in water samples was quantitatively determined by microplate reader. The accuracy, precision and detection limit of the method were evaluated by the standard recovery rate method and the reference material method.

Results:

The linear correlation coefficient of the standard curve of this method was > 0.999; the standard recovery rates of different concentrations were 99.00% - 103.33% in the accuracy experiment of this method, and the average recovery rate was 101.08%. In the standard material method, the measured values are all within the calibration range of the standard solution. The relative standard deviation of water samples with different concentrations was ≤10% in the precision experiment and the detection limit was 0.06 mg/L.

Conclusion:

The method has good accuracy and precision, low detection limit and small sample consumption, and this method can greatly improve the detection efficiency.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Endemiology Year: 2020 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Endemiology Year: 2020 Type: Article