Hong Wei, Qunqun Liu, Zhiyuan Zhao, Yan Liang, Dawei Pan, Jing Xu
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An automated flow-injection thin-layer electrochemical platform for online silicate monitoring in marine environments.
Silicate is an essential nutrient in marine ecosystems, exhibiting a dynamic concentration due to complex biogeochemical processes. Accurate and high-frequency monitoring of silicate in marine environments is therefore highly desirable. In this study, a fully automated electrochemical system was developed for online determination of silicate in natural seawater and in diatom incubation experiments. This system integrates flow injection analysis with thin-layer electrochemistry (TLE), using square wave voltammetry (SWV) for silicate measurement. The optimized system achieved a low detection limit of 0.4 μM and demonstrated excellent long-term stability, with a relative standard deviation (RSD) of 7.4% over 90 days of operation. The method was validated using coastal seawater collected from 10 sites spanning a range of salinities, showing good agreement with a reference spectrophotometric method. Moreover, continuous monitoring over 7 days in a Phaeodactylum tricornutum culture captured significant changes in the silicate concentration during its growth cycle. Overall, the system provides sensitive, long-term online monitoring of silicate in laboratory-controlled seawater systems and provides a technical basis for future field-deployable applications.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.