Using sequential injection analysis to improve system and data reliability of online methods: Determination of ammonium and phosphate in coastal waters

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

This article summarises the advantages of the sequential injection analysis (SIA) for the online determination of nutrients in coastal waters. It concentrates on techniques to improve the reliability of the gained data by continuously monitoring one or more standards and on the advantages of online standard additions and offline determination of manually collected samples with the online SIA system. These measures are advantageous during method development and validation and can be used to verify the system performance on a regular base to reduce the amount of erroneous results. No changes in the flow system are necessary and the sample throughput is only slightly reduced. These techniques have been applied to a SIA system which is able to simultaneously determine ammonium and phosphate at a rate of more than 100 samples per hour each and detection limits ( 3σ) of 0.06 μM and 0.05 μM. Results from a campaign in summer 2005 are shown.

OriginalspracheEnglisch
Aufsatznummer49535
ZeitschriftJournal of Automated Methods and Management in Chemistry
Jahrgang2007
Anzahl der Seiten6
ISSN1463-9246
DOIs
PublikationsstatusErschienen - 21.02.2007

Dokumente

DOI

Zuletzt angesehen

Publikationen

  1. Automatic Error Detection in Gaussian Processes Regression Modeling for Production Scheduling
  2. A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data
  3. Modelling and implementing business processes in distributed systems
  4. A fault detection and data reconciliation algorithm in technical processes with the help of haar wavelets packets
  5. Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control
  6. Improving mechanical properties of constrained friction processing Mg-Zn-Ca alloys by modifying texture using multiple pass processing
  7. ACL–adaptive correction of learning parameters for backpropagation based algorithms
  8. Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network
  9. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  10. Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components
  11. Set-oriented numerical computation of rotation sets
  12. Prediction of the tool change point in a polishing process using a modular software framework
  13. Modeling precipitation kinetics for multi-phase and multi-component systems using particle size distributions via a moving grid technique
  14. Noise level estimation using haar wavelet packet trees for sensor robust outlier detection
  15. Isocodal and isospectral points, edges, and pairs in graphs and how to cope with them in computerized symmetry recognition
  16. Vision-Based Deep Learning Algorithm for Detecting Potholes
  17. Learning with animations and simulations in a computer-based learning environment about torques
  18. Entropy-guided feature generation for structured learning of Portuguese dependency parsing
  19. Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
  20. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
  21. Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems
  22. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  23. Algebraic combinatorics in mathematical chemistry. Methods and algorithms. I. Permutation groups and coherent (cellular) algebras.
  24. Ant colony optimization algorithm and artificial immune system applied to a robot route
  25. Development of a Didactic Graphical Simulation Interface on MATLAB for Systems Control
  26. Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021)
  27. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  28. Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths
  29. Building a process layer for business applications using the blackboard pattern
  30. Emergency detection based on probabilistic modeling in AAL environments
  31. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  32. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods