Automated Determination of Dissolved Reactive Phosphorus at Nanomolar to Micromolar Levels in Natural Waters Using a Portable Flow Analyzer.

Automated in-field methods for measuring dissolved reactive phosphorus (DRP) over a large concentration range are in high demand for the purpose of better understanding the biogeochemistry of phosphorus in the river-estuary-coast continuum to the open ocean. Here, an automated portable and robust analyzer was described for the determination of nanomolar to micromolar levels of DRP in natural waters. The quantification of DRP was based on classic phosphomolybdenum blue (PMB) chemistry. All the components of the analyzer were computer-controlled using LabVIEW-based laboratory-programmed software. When equipped with a 3 cm Z-type flow cell, the system demonstrated linearity with concentrations up to 12 µmol L-1, a sampling rate of 20 h-1, a limit of detection of 0.11 µmol L-1, and relative standard deviations (RSDs) of 0.4-4.6% (n = 11-576). When a solid-phase extraction cartridge was combined with the analyzer, the PMB formed from the sample was automatically concentrated on the hydrophilic-lipophilic balanced sorbent. The concentrated PMB compound was eluted with NaOH solution and measured in the spectrophotometric system. Under optimal conditions, the nanomolar-level mode afforded a sampling rate of 8 h-1, a limit of detection of 1.7 nmol L-1, and RSDs of 3.0-5.7% (n = 11-120). The system exhibited advantages that included a wide linear range, high sensitivity and reproducibility, low reagent consumption, and insignificant interference from salinity, silicate, arsenate, and other P-containing compounds. The system was successfully applied for discrete sample analysis, fixed site online monitoring, and the real-time underway measurement of DRP in riverine-estuarine-coastal waters.

Simultaneous underway analysis of nitrate and nitrite in estuarine and coastal waters using an automated integrated syringe-pump-based environmental-water analyzer.

Methods for determining nitrate and nitrite have been comprehensively developed. However, there are few studies of simultaneous shipboard high-frequency monitoring of these two nutrients in estuarine and coastal area. In this study, a multipurpose integrated syringe-pump-based environmental-water analyzer (iSEA) was combined with an on-line filtration system for underway analysis of nitrate and nitrite in saline samples. Vanadium chloride was used instead of a toxic cadmium column to reduce nitrate to nitrite, which was measured on the basis of the classic Griess reaction. This fully automated analyzer had a limit of detection of 0.02 µmol L-1 for nitrite and 0.14 µmol L-1 for nitrate. The sample throughput was 12 h-1 for simultaneous measurement of nitrite and nitrate. With automated dilution, the calibration curve for nitrate was linear up to a concentration of 400 µmol L-1 (R2 > 0.999). The relative standard deviation of 24-h measurement (n = 288) of nitrite is 0.92% and that of nitrate is 1.4%. Both the reference solutions and samples of different salinities (range of 0-35) were measured (n = 85). According to the statistical t-test (P = 0.95), the results were insignificantly different from the results obtained using the reference method. After several cruise tests, the analyzer showed excellent spatial resolution for underway analysis of nitrite and nitrate in estuarine and coastal waters.

Development of an Integrated Syringe-Pump-Based Environmental-Water Analyzer ( iSEA) and Application of It for Fully Automated Real-Time Determination of Ammonium in Fresh Water.

The development of a multipurpose integrated syringe-pump-based environmental-water analyzer ( iSEA) and its application for spectrophotometric determination of ammonium is presented. The iSEA consists of a mini-syringe pump equipped with a selection valve and laboratory-programmed software written by LabVIEW. The chemistry is based on a modified indophenol method using o-phenylphenol. The effect of reagent concentrations and sample temperatures was evaluated. This fully automated analyzer had a detection limit of 0.12 µM with sample throughput of 12 h-1. Relative standard deviations at different concentrations (0-20 µM) were 0.23-3.36% ( n = 3-11) and 1.0% ( n = 144, in 24 h of continuous measurement, ∼5 µM). Calibration curves were linear ( R2 = 0.9998) over the range of 0-20 and 0-70 µM for the detection at 700 and 600 nm, respectively. The iSEA was applied in continuous real-time monitoring of ammonium variations in a river for 24 h and 14 days. A total of 1802 samples were measured, and only 0.4% was outlier data (≥3 sigma residuals). Measurements of reference materials and different aqueous samples ( n = 26) showed no significant difference between results obtained by reference and present methods. The system is compact (18 cm × 22 cm × 24 cm), portable (4.8 kg), and robust (high-resolution real-time monitoring in harsh environments) and consumes a small amount of chemicals (20-30 µL/run) and sample/standards (2.9 mL/run).

[The local outliers mining system of celestial body spectrum based on constrained concept lattice].

It is one of the main goals in mankinds universe exploration to find unknown and particular celestial bodies. Data mining is an effective way of finding the spectrum data of unknown and particular celestial body in mass celestial body spectrum data. Constrained concept lattice, with characteristics of higher constructing efficiency, practicability and pertinency, is a new concept lattice structure. For local bias data of celestial body spectrum in characteristic subspace, the local outlier mining system of celestial body spectrum based on constrained concept lattice was designed and implemented by using VC++ 6.0 and Oracle 9i as developing tools. At the same time, its software architecture and function modules were outlined. Such key techniques for preprocessing celestial body spectrum data, the constructing method of constrained concept lattice, and the local outlier mining method were discussed in details. The running results show that the system is feasible and valuable for mining local bias data of celestial body spectrum in low dimensional characteristic subspace. Therefore, the system provides an effective means for finding the unknown and particular celestial bodies.