Speed of Sound of Hexane + 1-Chlorohexane, Hexane + 1-Iodohexane, and 1-Chlorohexane + 1-Iodohexane at Saturation Condition

and, Mikhail F. Bolotnikov; Neruchev, Yurij A.

doi:10.1021/je0256129

Cited by 30 publications

(26 citation statements)

References 9 publications

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“…The same instrument and chemometrics can be applied to multiple analytes including tablets, 8 powders, [9][10][11] and liquids. [12][13][14] Because the system is set up such that a standing wave forms in the quartz rod in the absence of a sample, the addition of an analyte to the vertex of the rod acts as a load on the resonance of the system and necessarily disrupts the path length of sound in the waveguide. While the excitation frequencies passing through the rod and the analyte are the same, because of the large differences in their velocities, the wavelengths are usually longer in the quartz than in the sample.…”

Section: Versatility and Flexibilitymentioning

confidence: 99%

“…To date, the AR spectrometer has successfully differentiated and quantified sample analytes in various forms: tablets, 8 powders, [9][10][11] and liquids. [12][13][14] It has been used to measure and monitor the progression of chemical reactions, such as the setting and hardening of concrete from cement paste to solid. 15 Acoustic spectrometry has also been used to measure the volume fraction of colloids in a dispersion medium, as well as for the investigation of physical properties of colloidal dispersions, such as aggregation and particle size distribution.…”

Section: Introductionmentioning

confidence: 99%

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Acoustic-resonance spectrometry as a process analytical technology for the quantification of active pharmaceutical ingredient in semi-solids

Medendorp¹,

Buice²,

Lodder³

2006

AAPS PharmSciTech

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The purpose of this study was to demonstrate acoustic resonance spectrometry (ARS) as an alternative process analytical technology to near infrared (NIR) spectroscopy for the quantification of active pharmaceutical ingredient (API) in semi-solids such as creams, gels, ointments, and lotions. The ARS used for this research was an inexpensive instrument constructed from readily available parts. Acoustic-resonance spectra were collected with a frequency spectrum from 0 to 22.05 KHz. NIR data were collected from 1100 to 2500 nm. Using 1-point net analyte signal (NAS) calibration, NIR for the API (colloidal oatmeal [CO]) gave an r2 prediction accuracy of 0.971, and a standard error of performance (SEP) of 0.517%CO. ARS for the API resulted in an r2 of 0.983 and SEP of 0.317%CO. NAS calibration is compared with principal component regression. This research demonstrates that ARS can sometimes outperform NIR spectrometry and can be an effective analytical method for the quantification of API in semi-solids. ARS requires no sample preparation, provides larger penetration depths into lotions than optical techniques, and measures API concentrations faster and more accurately. These results suggest that ARS is a useful process analytical technology (PAT).

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Section: Versatility and Flexibilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Acoustic-resonance spectrometry as a process analytical technology for the quantification of active pharmaceutical ingredient in semi-solids

Medendorp¹,

Buice²,

Lodder³

2006

AAPS PharmSciTech

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“…These waves also undergo attenuation due to viscosity as well as thermal loss. Such factors contribute to increase the interference peak width which can thus be used to determine particle size distribution [12].…”

Section: Introductionmentioning

confidence: 99%

Real time acquisition and frequency domain analysis of acoustic patterns of fluids for applications in the field of homeland security

Singh

Bansal

2014

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls With Their Impact on Humanity (CIPECH)

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This paper investigates acoustic patterns generated by different liquids in real time based on spectral analysis technique which finds a lot of relevance in various fields related to defense and homeland security. Some of the drawbacks with existing techniques include limitations with acquisition of well defined patterns for various liquids. To overcome these limitations, this paper describes a technique which involves generation of a single frequency tone in MATLAB with the help of a program and passing that signal through the liquid and then further capturing and analyzing the received signal using a virtual spectrum analyzer. Piezoelectric sensors are used for transmission and receiving the tone through the fluid. The arrangement discussed successfully captures acoustic patterns in non destructive way for five different liquids/solutions by exciting them with various single frequency tones. Thus a low cost system that exhibits consistency in results and can quickly acquire specific acoustic patterns for various fluids is developed that also facilitates easyto-interpret measurement results.

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“…Conventional AR spectrometry has previously been used for the analysis of pharmaceutical tablets [13][14], semisolids, and colloidal dispersions [15][16], liquids [17][18][19], and powders [20][21][22]. To the authors' knowledge, this research presents the first application of ISP-ARS and its comparison to full spectrum ARS.…”

Section: Introductionmentioning

confidence: 99%

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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Speed of Sound of Hexane + 1-Chlorohexane, Hexane + 1-Iodohexane, and 1-Chlorohexane + 1-Iodohexane at Saturation Condition

Cited by 30 publications

References 9 publications

Acoustic-resonance spectrometry as a process analytical technology for the quantification of active pharmaceutical ingredient in semi-solids

Acoustic-resonance spectrometry as a process analytical technology for the quantification of active pharmaceutical ingredient in semi-solids

Real time acquisition and frequency domain analysis of acoustic patterns of fluids for applications in the field of homeland security

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

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