Determination of Elemental Sulfur in the Presence of Anaerobic Sediments by Extraction Procedure Using High-Performance Liquid Chromatography

Chen, Dong; Wei, Huang; Liu, Haibo; Chen, Tianhu

doi:10.1007/s11270-017-3358-9

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Our study sheds light on the potential of Raman spectroscopy as a useful tool to accurately quantify different cellular metabolites in real time inside a living cell. Currently, the conventional method available for S 0 quantification is high-performance liquid chromatography (HPLC) . HPLC successfully quantifies S 0 with the detection limit to tens of nanomoles per liter. , However, HPLC can only measure the elemental sulfur that has been extracted from cells, and it is hard to be applied on the single-cell level.…”

Section: Discussionmentioning

confidence: 99%

“…Currently, the conventional method available for S 0 quantification is highperformance liquid chromatography (HPLC). 48 HPLC successfully quantifies S 0 with the detection limit to tens of nanomoles per liter. 49,50 However, HPLC can only measure the elemental sulfur that has been extracted from cells, and it is hard to be applied on the single-cell level.…”

Section: ■ Conclusionmentioning

confidence: 99%

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Dynamically Quantifying Intracellular Elemental Sulfur and Predicting Pertinent Gene Transcription by Raman Spectroscopy in Living Cells

Wang

et al. 2023

Anal. Chem.

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The ability to monitor changes in metabolites and corresponding gene transcription within living cells is highly desirable. However, most current assays for quantification of metabolites or for gene transcription are destructive, precluding tracking the real-time dynamics of living cells. Here, we used the intracellular elemental sulfur in a Thiophaeococcus mangrovi cell as a proof-of-concept to link the quantity of metabolites and relevant gene transcription in living cells by a nondestructive Raman approach. Raman spectroscopy was utilized to quantify intracellular elemental sulfur noninvasively, and a computational mRR (mRNA and Raman) model was developed to infer the transcription of genes relevant to elemental sulfur. The results showed a significant linear correlation between the exponentially transformed Raman spectral intensity of intracellular elemental sulfur and the mRNA levels of genes encoding sulfur globule proteins in T. mangrovi. The mRR model was verified independently in two genera of Thiocapsa and Thiorhodococcus, and the mRNA levels predicted by mRR showed high consistency with actual gene expression detected by real-time polymerase chain reaction (PCR). This approach could enable noninvasive assessment of the quantity of metabolites and link the pertinent gene expression profiles in living cells, providing useful baseline data to spectroscopically map various omics in real time.

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Section: Discussionmentioning

confidence: 99%