Using single cell inductively coupled plasma mass spectrometry (SC-ICP-MS), scientists form Kanazawa, Japan created a new method for detecting cadmium in marine phytoplankton. Their work was published in Spectrochimica Acta Part B: Atomic Spectroscopy (1).
Diatoms, algae under microscopic view, phytoplankton, fossils, silica, golden yellow algae | Image Credit: © elif - stock.adobe.com
Recent studies have reported an uptake in heavy metals by phytoplankton and their cells. Acid digestion for sample preparation is the most common method for detecting intracellular metals, though data from this method has certain limitations. Namely, these experiments only measure the intracellular cadmium (Cd) content of culture populations, meaning that only the average metal content in all cells can be obtained. Cell changes and their average values do not represent the intracellular value of each individual cell.
To address this, a new detection method, single cell inductively coupled plasma mass spectrometry (SC-ICP-MS) was developed. According to the scientists, this method has high sensitivity, allowing for the analysis of extremely trace elements. SC-ICP-MS has been used to analyze various types of single-cell systems, including bacteria, yeast, and cancer cells. By directly analyzing cell suspension fed by pumps, a single cell can be analyzed internally with short residence time, thus avoiding simultaneous detection of multiple cells.
For this study, the scientists used SC-ICP-MS to analyze cadmium content in marine phytoplankton cells. This was previously impossible due to high concentrations of interfering elements (Na+, K+) in seawater. For this system, the team removed the supernatant through centrifugal separation, replacing the culture media of three species, P. parvum, O. viridis, and E. gynnastica, with non-metallic salt solutions, namely (NH4)2SO4 and NH4Cl. Cell images were also studied at different concentrations of replacement solutions, to check for ruptured cells stemming from changes in osmotic pressure.
It was observed that a good number of cells ruptured at low concentrations of the non-metallic salt solutions, but they did maintain integrity between 0.6 and 0.8 M solutions. These surviving cells were successfully determined using SC-ICP-MS, and they showed increased presences of high cadmium-containing cells when the phytoplankton were in high-cadmium-concentration mediums. Based on their findings, the scientists concluded that (NH4)2SO4 and NH4Cl can be suitable replacement solutions for the determination of marine phytoplankton using SC-ICP-MS. With that said, it is believed that different species of marine phytoplankton could have different levels of compatibility with these solutions, implying that more research into this phenomenon should be done.
(1) Zai, Y.; Wong, K. H.; Fujizawa, S.; Ishikawa, A.; Li, M.; Mashio, A. S.; Hasegawa, H. Development of a New Detection Method for Cadmium in Marine Phytoplankton Based on Single Cell Inductively Coupled Plasma Mass Spectrometry. Spectrochim. Acta Part B At. Spectrosc. 2023, 209, 106801. DOI: https://doi.org/10.1016/j.sab.2023.106801
Machine Learning Accelerates Clinical Progress of SERS Technology
May 22nd 2025A new review in TrAC Trends in Analytical Chemistry by Alfred Chin Yen Tay and Liang Wang highlights how machine learning (ML) is transforming surface-enhanced Raman spectroscopy (SERS) into a powerful, clinically viable tool for rapid and accurate medical diagnostics.
China Institutions Team Up to Oxidize Toluene at Lower Temperatures
May 21st 2025Researchers from several Chinese universities have developed a low-cost, red mud-based catalyst doped with manganese oxides that efficiently oxidizes toluene at lower temperatures, offering a sustainable solution for air pollution control and industrial waste reuse.
Describing Their Two-Step Neural Model: An Interview with Ayanjeet Ghosh and Rohit Bhargava
May 20th 2025In the second part of this three-part interview, Ayanjeet Ghosh of the University of Alabama and Rohit Bhargava of the University of Illinois Urbana-Champaign discuss how machine learning (ML) is used in data analysis and go into more detail about the model they developed in their study.
Analyzing the Protein Secondary Structure in Tissue Specimens
May 19th 2025In the first part of this three-part interview, Ayanjeet Ghosh of the University of Alabama and Rohit Bhargava of the University of Illinois Urbana-Champaign discuss their interest in using discrete frequency infrared (IR) imaging to analyze protein secondary structures.
How Do We Improve Elemental Impurity Analysis in Pharmaceutical Quality Control?
May 16th 2025In this final part of our conversation with Harrington and Seibert, they discuss the main challenges that they encountered in their study and how we can improve elemental impurity analysis in pharmaceutical quality control.