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• W2996571750 abstract "Nuclear quadrupole resonance (NQR) is commonly used to characterize solid materials containing quadrupolar nuclei. For example, NQR is a promising technique for detecting plastic explosives and other forbidden substances as well as for authenticating pharmaceutical products. Spatially-resolved NQR measurements are of particular interest for enabling automated sample positioning, evaluation of sample heterogeneity, and chemometric authentication of objects. This paper proposes a rapid single-shot method for spatially-resolved NQR with the potential to benefit such applications. The proposed method takes advantage of the fact that certain NQR relaxation rates are field-dependent: the observed field dependence is used to convert relaxation time distributions measured in a static field gradient (estimated via Laplace inversion of time-domain data) into spatial distributions. The method was validated using 35Cl and 37Cl NQR of sodium chlorate and other compounds. Effective spatial resolution was also improved by using machine learning (ML) to classify the measured spatial distributions. In particular, experimental results demonstrate accurate ML-based classification of 3D-printed objects containing arbitrary binary distributions of sodium chlorate. Such distributions can thus be used as NQR-based embedded barcodes for authenticating high-value objects." @default.
• W2996571750 created "2019-12-26" @default.
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• W2996571750 date "2020-02-01" @default.
• W2996571750 modified "2023-09-23" @default.
• W2996571750 title "Single-shot spatially-localized NQR using field-dependent relaxation rates" @default.
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• W2996571750 doi "https://doi.org/10.1016/j.jmr.2019.106660" @default.
• W2996571750 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31865184" @default.
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