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By: S. Ravichandran.
1Professor in Chemistry, Tagore Institute of Engineering and Technology, Salem., Tamil Nadu, India.
The determination of tungsten (VI) has gained increasing importance due to its extensive industrial applications and growing environmental relevance. Tungsten is widely used in alloys, catalysts, electronics, and energy systems, leading to its release into environmental matrices such as water, soil, and biological systems. Accurate monitoring of tungsten at trace and ultra-trace levels is therefore essential for environmental assessment and industrial quality control. Conventional analytical techniques, including inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectroscopy (AAS), provide high sensitivity and precision; however, their application is often restricted by high instrumentation costs, complex operational requirements, and the need for skilled personnel. In contrast, spectrophotometric methods have emerged as attractive alternatives due to their simplicity, rapid response, and cost-effectiveness. Recent advancements have significantly improved the performance of these methods through the integration of green analytical chemistry and nanotechnology. The use of eco-friendly reagents, micellar media, and solvent-minimized extraction techniques has reduced environmental impact while maintaining analytical efficiency. Additionally, nanoparticle-assisted detection, particularly using metal and metal oxide nanomaterials, has enabled enhanced sensitivity and lower detection limits.
This review critically evaluates recent developments in spectrophotometric determination of tungsten (VI), with a focus on sustainable and high-performance analytical strategies. Emphasis is placed on nanomaterial-assisted sensing, advanced preconcentration techniques, and the application of chemometric tools for improved data analysis. Furthermore, hybrid analytical
systems and emerging technologies for portable and real-time tungsten detection are discussed, highlighting future directions in this rapidly evolving field.
Citation:
Refrences:
1.Wold S, Sjöström M, Eriksson L. PLS-regression: a basic tool of chemometrics. Chemom Intell Lab Syst. 2001;58(2):109–130.
2.Bro R, Smilde AK. Principal component analysis. Anal Methods. 2014;6(9):2812–2831.
3.Beebe KR, Pell RJ, Seasholtz MB. Chemometrics: a practical guide. New York: Wiley; 1998.
4.Massart DL, Vandeginste BGM, Buydens LMC, De Jong S, Lewi PJ, Smeyers-Verbeke J. Handbook of chemometrics and qualimetrics. Amsterdam: Elsevier; 1997.
5.Otto M. Chemometrics: statistics and computer application in analytical chemistry. 3rd ed. Weinheim: Wiley-VCH; 2017.
6.Haykin S. Neural networks and learning machines. 3rd ed. New York: Prentice Hall; 2009.
7.Despagne F, Massart DL. Neural networks in multivariate calibration. Anal Chem. 1998;70(12):2435–2441.
8.Ferreira MMC, Antunes AM, Melgo MS, Volpe PL. Chemometrics and intelligent laboratory systems in spectrophotometric analysis. Chemom Intell Lab Syst. 1999;48(2):131–142.
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9.Brereton RG. Multivariate pattern recognition in chemometrics. Chemom Intell Lab Syst. 2000;51(1):1–14.
10.Geladi P, Kowalski BR. Partial least-squares regression: a tutorial. Anal Chim Acta. 1986;185:1–17.
11.Skoog DA, Holler FJ, Crouch SR. Principles of instrumental analysis. 6th ed. Belmont: Thomson Brooks/Cole; 2007.
12.Christian GD. Analytical chemistry. 6th ed. New York: Wiley; 2004.
13.Valcárcel M, Luque de Castro MD. Flow-injection analysis: principles and applications. Anal Chim Acta. 1987;197:1–21.
14.Rezaee M, Assadi Y, Hosseini MR, Aghaee E, Ahmadi F, Berijani S. Determination of organic compounds using dispersive liquid–liquid microextraction. J Chromatogr A. 2006;1116(1–2):1–9.
15.Płotka-Wasylka J, Szczepańska N, de la Guardia M, Namieśnik J. Modern trends in solid phase extraction. TrAC Trends Anal Chem. 2015;77:23–43.
16.Armenta S, Garrigues S, de la Guardia M. Green analytical chemistry. TrAC Trends Anal Chem. 2008;27(6):497–511.
17.Tobiszewski M, Mechlińska A, Namieśnik J. Green analytical chemistry—future perspectives. TrAC Trends Anal Chem. 2009;28(8):943–951.
18.Płotka-Wasylka J. A new tool for the evaluation of analytical procedures: Green Analytical Procedure Index. Talanta. 2018;181:204–209.
19.Bezerra MA, Arruda MAZ, Ferreira SLC. Cloud point extraction as a preconcentration technique. Appl Spectrosc Rev. 2005;40(4):269–299.
20.Anthemidis AN, Mitani C, Sahanidou E. On-line solid phase extraction for trace metal analysis. Talanta. 2005;66(2):354–362.