LC-ICP-MS Method Package for Arsenic Speciation Analysis Type 1
Others | 2024 | ShimadzuInstrumentation
Accurate differentiation among arsenic species is essential due to the wide variance in toxicity and mobility of inorganic versus organic forms. Environmental monitoring, food safety evaluations, and regulatory compliance all depend on reliable speciation data. A streamlined, validated analytical approach reduces method development time and enhances laboratory efficiency.
This work presents a complete LC-ICP-MS method package tailored for Shimadzu systems, aimed at simultaneous separation and quantitation of six key arsenic species: arsenocholine (AsC), arsenobetaine (AsB), arsenic(III), dimethylarsinic acid (DMA), monomethylarsonic acid (MMA), and arsenate (AsV). The package delivers ready-to-use method files and detailed instructions to enable immediate deployment and ensure data integrity.
A gradient elution protocol on an anion-exchange column (HAMILTON PRP-X100, 10 µm, 250 × 4.1 mm) separates target analytes within a 25 min runtime. Mobile phase A consists of 0.025 M ammonium dihydrogen phosphate, adjusted to pH 8.0 with ammonia; mobile phase B is ultrapure water. The gradient shifts from 0 % A/100 % B to 100 % A over 15 min, maintained for 5 min, then returns to initial conditions by 25 min. The flow rate is 1 mL/min, injection volume 50 µL, and column temperature 40 °C.
The method achieves distinct baseline separation of all six arsenic species with retention times spanning the 0–25 min window. The generated chromatogram shows sharp, symmetric peaks and reproducible response factors, demonstrating robust quantitation. Using predefined method files eliminates variability introduced by user method development.
• Immediate readiness: preconfigured methods enable analysis straight after instrument installation
• High throughput: 25 min cycle time allows efficient processing of environmental, food, and clinical samples
• Data integrity: centralized control via LabSolutions ICPMS TRM and optional DB/CS connectivity ensures compliance with regulatory requirements
• Versatility: compatible with multiple Shimadzu LC-ICP-MS configurations and adaptable to routine QA/QC workflows
Advances in cloud-based data management and remote operation will facilitate real-time monitoring and decentralized analysis. Integration with other hyphenated techniques (e.g., LC-MS/MS) may extend speciation capabilities. Automation and multiplexed sample introduction will further increase throughput in high-volume laboratories.
The described LC-ICP-MS method package provides a validated, efficient solution for six-species arsenic analysis, combining minimal setup requirements with reliable performance. It supports rapid deployment in diverse analytical environments and promotes consistent, compliant data generation.
HPLC, ICP/MS, Speciation analysis
IndustriesFood & Agriculture
ManufacturerShimadzu
Summary
Significance of Arsenic Speciation Analysis
Accurate differentiation among arsenic species is essential due to the wide variance in toxicity and mobility of inorganic versus organic forms. Environmental monitoring, food safety evaluations, and regulatory compliance all depend on reliable speciation data. A streamlined, validated analytical approach reduces method development time and enhances laboratory efficiency.
Objectives and Study Overview
This work presents a complete LC-ICP-MS method package tailored for Shimadzu systems, aimed at simultaneous separation and quantitation of six key arsenic species: arsenocholine (AsC), arsenobetaine (AsB), arsenic(III), dimethylarsinic acid (DMA), monomethylarsonic acid (MMA), and arsenate (AsV). The package delivers ready-to-use method files and detailed instructions to enable immediate deployment and ensure data integrity.
Methodology
A gradient elution protocol on an anion-exchange column (HAMILTON PRP-X100, 10 µm, 250 × 4.1 mm) separates target analytes within a 25 min runtime. Mobile phase A consists of 0.025 M ammonium dihydrogen phosphate, adjusted to pH 8.0 with ammonia; mobile phase B is ultrapure water. The gradient shifts from 0 % A/100 % B to 100 % A over 15 min, maintained for 5 min, then returns to initial conditions by 25 min. The flow rate is 1 mL/min, injection volume 50 µL, and column temperature 40 °C.
Used Instrumentation
- ICPMS-2040/2050 or ICPMS-2030 Series mass spectrometer
- Nexera™ or Prominence™ inert LC system including solvent delivery, degassing unit, autosampler, column oven, and system controller
- LabSolutions™ ICPMS TRM software for time-resolved control and optional connection to LabSolutions DB/CS for data integrity
Main Results and Discussion
The method achieves distinct baseline separation of all six arsenic species with retention times spanning the 0–25 min window. The generated chromatogram shows sharp, symmetric peaks and reproducible response factors, demonstrating robust quantitation. Using predefined method files eliminates variability introduced by user method development.
Benefits and Practical Applications
• Immediate readiness: preconfigured methods enable analysis straight after instrument installation
• High throughput: 25 min cycle time allows efficient processing of environmental, food, and clinical samples
• Data integrity: centralized control via LabSolutions ICPMS TRM and optional DB/CS connectivity ensures compliance with regulatory requirements
• Versatility: compatible with multiple Shimadzu LC-ICP-MS configurations and adaptable to routine QA/QC workflows
Future Trends and Potential Applications
Advances in cloud-based data management and remote operation will facilitate real-time monitoring and decentralized analysis. Integration with other hyphenated techniques (e.g., LC-MS/MS) may extend speciation capabilities. Automation and multiplexed sample introduction will further increase throughput in high-volume laboratories.
Conclusion
The described LC-ICP-MS method package provides a validated, efficient solution for six-species arsenic analysis, combining minimal setup requirements with reliable performance. It supports rapid deployment in diverse analytical environments and promotes consistent, compliant data generation.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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