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Nitric acid digestion and multi‐element analysis of plant material by inductively coupled plasma spectrometry
Abstract
Inductively coupled plasma spectrometry (ICPS) was used for the simultaneous determination of P, K, S, Ca, Mg, Na, Al, Cu, Zn, Mn, Fe, Co, Mo and B in the nitric acid soluble portion of a variety of plant materials. Conditions for pre‐digestion, digestion and the requirement to grind cereal grain were investigated. Digestion with nitric and perchloric acids caused loss of K (due to the low solubility of potassium perchlorate) and B (due to volatilization). The accuracy of Fe and Na determinations using nitric acid digestion was dependent upon the type of plant material. The accuracy and precision of the proposed digestion and analytical procedure was confirmed by co‐operation in an interlaboratory quality assurance program using a variety of standard reference plant materials, and the analysis of National Bureau of Standards, Standard Reference Material 1571 (orchard leaves).
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Cited by
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Selenium accumulation protects Brassica juncea from invertebrate herbivory and fungal infection
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Galeas, M. L., Zhang, L. H., Freeman, J. L., Wegner, M., & Pilon‐Smits, E. A. H. (2007) · New Phytologist · doi:10.1111/j.1469-8137.2006.01943.x · Cited by 217
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Metadata
- Authors
- Zarcinas, B. A., Cartwright, B., & Spouncer, L. R.
- Venue
- Communications in Soil Science and Plant Analysis
- Publisher
- Informa UK Limited
- Published
- 1987-01
- Volume
- 18
- Issue
- 1
- Pages
- 131-146
- ISSN
- 0010-3624 (ISSN-L)
- 1532-2416
- OpenAlex
- W2085568111
- Cited by
- 867
- References
- 0
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Nitric acid digestion and multi‐element analysis of plant material by inductively coupled plasma spectrometry. https://app.cochat.ai/papers/10.1080/00103628709367806
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- Zarcinas, B. A., Cartwright, B., & Spouncer, L. R. (1987). Nitric acid digestion and multi‐element analysis of plant material by inductively coupled plasma spectrometry. Communications in Soil Science and Plant Analysis. https://doi.org/10.1080/00103628709367806
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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