NIR spectrometry for the characterization of fuel components in a novel tamper-resistant pill bottle

Medendorp, Joseph; Fackler, Jason A.; Henninger, Tom; Dieter, Bill; Lodder, Robert A.

doi:10.1007/bf02784881

Cited by 2 publications

(4 citation statements)

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“…In multivariate data where the concentrations of multiple species are changing simultaneously, calculation of standard figures of merit (FOM), such as dynamic range, limit of detection, selectivity, sensitivity, and signal-to-noise ratio is not a straightforward task [23,24]. The portion of the signal directly related to the analyte of interest is complicated by the signals from all other species and interferences present in the sample and sampling process.…”

Section: Figures Of Meritmentioning

confidence: 99%

“…Different fuel burn characteristics (e.g., time to ignition, and burn duration) result from different concentrations of the individual components in fuel premixes. There is a wide range of performance between mixes, a fact that has also been noted in the literature [23]. An analytical method capable of rapidly and accurately characterizing premixes for burning can answer important questions about performance, and optimize reaction rate for different kinds and sizes of tablets in the PillSafe.…”

Section: Introductionmentioning

confidence: 96%

“…Instead, it relies on the excitation of key frequencies identified statistically (by MANOVA in this work) specifically for the maximization of intercluster distances and the minimization of intra-cluster distances. The samples tested in this research comprise different mixtures of ammonium perchlorate (NH 4 ClO 4 ), aluminum powder (Al), iron oxide (Fe 2 O 3 ), casting resin, and curing agent, the combination of which make up the fuel for the PillSafe, a narcotics distribution-control product produced by RAMM, LLC [23]. Different fuel burn characteristics (e.g., time to ignition, and burn duration) result from different concentrations of the individual components in fuel premixes.…”

Section: Introductionmentioning

confidence: 99%

“…The container functions as a novel, inexpensive "Thermos"-type bottle with a microcontroller and a pressure relief system that safely destroys tablets in 2-3 s. PillSafes are designed to be registered to users at the time a prescription is filled. The PillSafe provides another line of defense to prevent theft of prescription drugs and makes illicit diversion of tablets more difficult [23].…”

Section: Introductionmentioning

confidence: 99%

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Integrated Sensing and Processing Acoustic Resonance Spectrometry (ISP-ARS) for Sample Classification

et al. 2007

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This research introduces a novel process analytical technique, integrated sensing and processing acoustic resonance spectrometry (ISP-ARS), and compares ISP-ARS with conventional full-spectrum ARS for the characterization of solid fuel premixes used in a new pill safe designed to protect narcotics. In ISP-ARS, the acoustic excitation waveform is the analog implementation of the chemometric weight function, encoded for this work on an MP3 player and used to distinguish between fuel samples, sparing post-collection multivariate computation. In effect, the detector directly outputs the sample identity. Repeated measurements of batches of similar fuel mixtures over time produce an automatic projection of similar spectra into corresponding three-dimensional probability density contours, thus, forming the analyte classification directly. For the characterization of ten different fuel mixtures, full spectral ARS resulted in a median intermixture distance in multidimensional standard deviations (MSDs) of 185.1, while ISP-ARS resulted in a median MSD distance of 81.3. The median cross-validation MSD was 1.41 for the ARS and 1.58 for the ISP-ARS. Distances in MSDs greater than three are considered separable, and MSDs less than three are indistinguishable. The classification procedure correctly identified all samples for both analytical techniques. ISP-ARS is an effective, simpler, and more rapid alternative to full spectrum ARS that can be implemented with a commercial MP3 player and used as an inexpensive spectrometric sensor for dynamic data-driven application simulations (DDDAS) and process analytical applications.

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Section: Figures Of Meritmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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