Estimation of heavy metals in processed fruit products using Shimadzu inductively coupled plasma mass spectrometry
Posters | | ShimadzuInstrumentation
Processed fruit jams, juices, and concentrates are rich in essential micro- and trace elements but may also contain toxic heavy metals. Accurate quantification of elements such as As, Cd, Hg, Pb, Cu, Sn, and Zn is critical for consumer safety and regulatory compliance. Regular monitoring ensures product quality, detects contamination sources, and supports food safety standards.
This study developed and validated an ICP-MS method using the Shimadzu ICPMS-2030 for multi-element analysis of processed fruit products under FSSAI guidelines. It aimed to establish limits of quantification, assess method linearity and recovery, and evaluate routine applicability for jam, juice, and concentrate matrices.
All measured element concentrations in jam, juice, and concentrate samples were below the established LOQs. Spike recovery experiments at LOQ and 10× LOQ levels yielded recoveries between 80% and 120% across all elements, demonstrating method accuracy and precision. Linearity curves confirmed instrument performance for trace-level quantification.
The validated ICP-MS method offers:
Advancements may include high-throughput automation, coupling with separation techniques for speciation, and application to a broader range of food matrices. Integration with data analytics and AI could enhance trend monitoring and contamination source apportionment.
The Shimadzu ICPMS-2030 method provides reliable, sensitive, and reproducible analysis of heavy metals in processed fruit products, aligning with FSSAI standards. Its demonstrated performance supports routine quality control and safety monitoring.
No specific references were provided in the source document.
ICP/MS
IndustriesFood & Agriculture
ManufacturerShimadzu
Summary
Importance of the Topic
Processed fruit jams, juices, and concentrates are rich in essential micro- and trace elements but may also contain toxic heavy metals. Accurate quantification of elements such as As, Cd, Hg, Pb, Cu, Sn, and Zn is critical for consumer safety and regulatory compliance. Regular monitoring ensures product quality, detects contamination sources, and supports food safety standards.
Objectives and Study Overview
This study developed and validated an ICP-MS method using the Shimadzu ICPMS-2030 for multi-element analysis of processed fruit products under FSSAI guidelines. It aimed to establish limits of quantification, assess method linearity and recovery, and evaluate routine applicability for jam, juice, and concentrate matrices.
Methodology
- Sample Preparation: Microwave digestion of approximately 500 mg sample with suprapure HNO3 and water following a two-stage temperature program.
- Instrumentation: Shimadzu ICPMS-2030 with AS-10 autosampler, mini torch, helium collision gas, and gold addition to reduce Hg memory effects.
- Internal Standards: Bismuth for Pb and Hg; Yttrium for As, Cd, Cu, Sn, and Zn at 20 ppb.
- Calibration: Six-level calibration (0.1–25 ppb for As, Cd; 1–25 ppb for Hg; up to 175 ppb for Cu; up to 625 ppb for Sn; up to 125 ppb for Zn) with correlation coefficients ≥0.995.
- Limit of Quantification: Achieved LOQs per element ranging from 0.02 ppm (As, Cd) to 50 ppm (Sn).
Main Results and Discussion
All measured element concentrations in jam, juice, and concentrate samples were below the established LOQs. Spike recovery experiments at LOQ and 10× LOQ levels yielded recoveries between 80% and 120% across all elements, demonstrating method accuracy and precision. Linearity curves confirmed instrument performance for trace-level quantification.
Benefits and Practical Applications
The validated ICP-MS method offers:
- High sensitivity for sub-ppb to ppm range required in food safety testing.
- Rapid sample throughput via autosampler integration.
- Robustness against matrix and memory effects through optimized internal standards and gold addition.
- Compliance with national regulatory limits ensuring consumer protection.
Future Trends and Opportunities
Advancements may include high-throughput automation, coupling with separation techniques for speciation, and application to a broader range of food matrices. Integration with data analytics and AI could enhance trend monitoring and contamination source apportionment.
Conclusion
The Shimadzu ICPMS-2030 method provides reliable, sensitive, and reproducible analysis of heavy metals in processed fruit products, aligning with FSSAI standards. Its demonstrated performance supports routine quality control and safety monitoring.
References
No specific references were provided in the source document.
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