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Autoadaptative sequential injection system for nitrite determination in wastewaters.

M Baeza1, J Bartrolí, J Alonso

  • 1Sensors and Biosensors Group, Department of Chemistry, Facultat de Ciències, Edifici Cn, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain; Escola Universitària Politècnica del Medi Ambient, Rbla. Pompeu Fabra 1, 08100 Mollet del Vallès, Spain.

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Summary
This summary is machine-generated.

A new automated system precisely measures nitrite levels using a spectrophotometric method. This intelligent system offers dual concentration ranges and autocalibration for accurate environmental monitoring.

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Area of Science:

  • Analytical Chemistry
  • Environmental Science

Background:

  • Nitrite analysis is crucial for environmental monitoring, particularly in wastewater.
  • Existing methods may lack automation, precision, or adaptability for varying concentrations.

Purpose of the Study:

  • To develop and validate a novel autoadaptative sequential injection system for precise nitrite determination.
  • To enable automatic, robust, and adaptable nitrite analysis across diverse concentration ranges.

Main Methods:

  • Utilized a direct spectrophotometric method based on the Griess-Ilosvay reaction, measuring absorbance at 555nm.
  • Implemented a sequential injection system with reverse flow for sample and reagent aspiration and mixing.
  • Investigated zone sequencing, overlapping, and volume selection for optimized performance.

Main Results:

  • Achieved nitrite determination in two concentration ranges: 0.0-3.0 ppm (LOD 0.048 ppm) and 0.0-20.0 ppm (LOD 0.4 ppm).
  • Developed autocalibration and independent monitoring capabilities for enhanced accuracy.
  • Demonstrated robustness and adaptability by analyzing diverse real-world samples from a Wastewater Treatment Plant (WWTP).
  • Attained a high throughput of 12 samples per hour.

Conclusions:

  • The proposed autoadaptative sequential injection system is intelligent, simple, and robust for nitrite analysis.
  • The system's dual-range capability and autocalibration make it suitable for varied environmental monitoring applications.
  • Successful application to real WWTP samples validates the method's practical utility and reliability.