Multi-element Analysis of Vitreous Humor Samples by ICP-MS and ICP-OES

Vázquez, María del Mar Parrilla; Ibarra, Israel S.; Sibón, A.; Pérez-Cárceles, María D.

doi:10.46770/as.2017.05.002

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…To the best of our knowledge, only three published reports have assessed vitreous iron concentrations of the human eyes. These studies analyzed medical–legal autopsy samples [ 43 ] and examined the biochemical composition of living patients [ 44 , 45 ]. Compared with their respective average iron concentrations, OT samples in our study may have a lower iron concentration.…”

Section: Discussionmentioning

confidence: 99%

Retinal ferroptosis as a critical mechanism for the induction of retinochoroiditis during ocular toxoplasmosis

Yamada,

Tazaki,

Ushio-Watanabe

et al. 2023

Redox Biology

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Section: Discussionmentioning

confidence: 99%

Retinal ferroptosis as a critical mechanism for the induction of retinochoroiditis during ocular toxoplasmosis

Yamada,

Tazaki,

Ushio-Watanabe

et al. 2023

Redox Biology

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“…The study compared the performance of ICP-MS and ICP-OES for the analysis of 14 elements (Li, Mn, Co, Cu, Zn, As, Se, Sr, Mo, Cd, Fe, Mg, K, and Ca) in vitreous humor samples. The result showed that ICP-MS is more suitable than ICP-OES for the multi-element analysis of vitreous humor samples due to its high sensitivity, low detection limits, and wide dynamic range [66]. In 2018 Khalifa and Gad studied the agricultural soils of Quessna District in the Southwestern Nile Delta to examine the lateral and vertical distributions of heavy metals in this area using the inductively coupled plasma-optical emission spectroscopy technique.…”

Section: Applicationsmentioning

confidence: 99%

Detection of heavy metal elements by using advanced optical techniques

Tawfik,

El-Saeed,

Khalil

et al. 2024

Journal of the Egyptian Society for Basic Sciences-Physics

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The presence of heavy metals in the environment presents a significant concern, as it poses a substantial threat to both human health and food safety. Accurate measurement and identification of heavy metals in diverse sample types, encompassing water, soil, food, and biological materials, necessitate utilizing various spectroscopic techniques. In this comprehensive review, a meticulous examination of three prevalent methodologies employed for heavy metal analysis in soil is undertaken: Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Laser-Induced Breakdown Spectroscopy (LIBS), and Atomic Absorption Spectroscopy (AAS). An elaborate exposition of the operational principles underlying each method is provided, their respective strengths and limitations are delineated, and the specific contexts in which they find application are elucidated. Furthermore, recent developments and forthcoming prospects associated with each of these techniques are elucidated, underscoring the potential advantages of their combined use alongside other analytical modalities to augment precision and speed in heavy metal analysis. The analysis emphasizes that (ICP-OES), LIBS, and AAS offer distinct capabilities and restrictions within the domain of heavy metal detection. Selecting the most appropriate technique hinges on the prerequisites and situational aspects characterizing each analytical challenge. This review furnishes a holistic comprehension of these analytical methodologies, underscoring their pivotal role in addressing the pressing issue of heavy metal contamination and providing valuable insights for optimizing the selection and application of these techniques in environmental and food safety assessments. Journal of the Egyptian Society for BasicSciences-Physics (JESBSP) https://jesbsp.journals.ekb.eg/

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“…Very few publications are available within the scope of this review. [114][115][116] Collected post-mortem vitreous humour has been analysed, and so publications are mostly focused on forensic and toxicological elds. 115,117 3.1.4.…”

Section: Biological Uids Requiring Invasive Sample Collectionmentioning

confidence: 99%