Soft-matter analysis by the NMR-MOUSE

Guthausen, Gisela; Guthausen, Andreas; Balibanu, F.; Eymael, R.; Hailu, Kidist; Schmitz, U.; Blümich, Bernhard

doi:10.1002/(sici)1439-2054(20000301)276:1<25::aid-mame25>3.3.co;2-8

Cited by 35 publications

(32 citation statements)

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“…The inhomogeneous static magnetic field and resulting large bandwidth of the NMR-MOUSE yield signal-to-noise ratios much lower than those typically found with laboratory magnets. Additionally, T 1q measurements are known [14] to suffer from even lower signal-to-noise than simple echo measurements with an NMR-MOUSE. Compared to insulating materials, the electrical conductivity of the composite samples reduces the coil Q, leading to smaller signal-to-noise.…”

Section: Resultsmentioning

confidence: 99%

NMR detection of thermal damage in carbon fiber reinforced epoxy resins

Brady

Conradi

Vaccaro

2005

Journal of Magnetic Resonance

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Section: Resultsmentioning

confidence: 99%

NMR detection of thermal damage in carbon fiber reinforced epoxy resins

Brady

Conradi

Vaccaro

2005

Journal of Magnetic Resonance

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“…By substituting (2) into (1), we get (4) where t is a scalar, M is an n x n symmetric matrix and m an n long vector, n being the number of basis fields, and these are defined by the appropriate overlap integrals where V is the volume of the target region: (5) To determine the extrema with respect to variations in the coefficients {gi}, we differentiate (4) with respect to gk and use the fact that M is a symmetric matrix to get (6) Setting (6) equal to zero for all possible yields…”

Section: Theorymentioning

confidence: 99%

Least Squares Magnetic-Field Optimization for Portable Nuclear Magnetic Resonance Magnet Design

et al. 2008

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Single-sided and mobile nuclear magnetic resonance (NMR) sensors have the advantages of portability, low cost, and low power consumption compared to conventional high-field NMR and magnetic resonance imaging (MRI) systems. We present fast, flexible, and easy-to-implement target field algorithms for mobile NMR and MRI magnet design. The optimization finds a global optimum in a cost function that minimizes the error in the target magnetic field in the sense of least squares.When the technique is tested on a ring array of permanent-magnet elements, the solution matches the classical dipole Halbach solution. For a single-sided handheld NMR sensor, the algorithm yields a 640 G field homogeneous to 16 100 ppm across a 1.9 cm 3 volume located 1.5 cm above the top of the magnets and homogeneous to 32 200 ppm over a 7.6 cm 3 volume. This regime is adequate for MRI applications. We demonstrate that the homogeneous region can be continuously moved away from the sensor by rotating magnet rod elements, opening the way for NMR sensors with adjustable "sensitive volumes."

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“…The magnetic field penetrating the object is inhomogeneous, and only a limited number of the wide variety of NMR experiments can be performed. Nevertheless, the information acquired using the NMR-MOUSE is well suited for the quality control of soft materials such as elastomers, food, creams, biological tissue, and wet porous material (10,11). The advantage of the NMR-MOUSE device is its ability to analyze the sample just by locating the sensor on the sample surface.…”

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confidence: 99%

New technologies to determine solid fat content on‐line

Martini

Herrera

Marangoni

2005

J Americ Oil Chem Soc

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The determination of solid fat content (SFC) is an important analytical procedure in the food industry. The most common way to determine SFC is by low-resolution pulsed NMR (p-NMR). Although this technique is very sensitive and easy to use, it has the disadvantage that it cannot be used for on-line measurements. The present work compares new technologies to determine SFC on-line. On-line ultrasonic spectroscopy and NMR-MOUSE (NMR mobile universal surface explorer) techniques were compared with off-line p-NMR measurements and there was a good correlation between the values obtained. Ultrasonic measurements accurately described the SFC variation, whereas NMR-MOUSE determinations need to be improved to some extent owing to a strong temperature and motion dependence. These two techniques can be used as on-line methodologies to determine SFC during the crystallization of fats. FIG. 3. (a) Calibration curve for the NMR-MOUSE technology showing the linear relationship between the NMR-MOUSE reading and the conventional pulsed NMR (p-NMR) technology, mq20 (shown as liquid percentage). (b) Comparison of SFC values of different dilutions of sample A measured by traditional p-NMR, mq20, and NMR-MOUSE (x and L L, respectively). For abbreviations see Figure 1. SOLID FAT CONTENT DETERMINATION ON-LINE 317 JAOCS, Vol. 82, no. 5 (2005) FIG. 5. Comparison between SFC values measured with traditional p-NMR, mq20 (line with no symbols), ultrasonics (L L), and NMR-MOUSE (L) for sample A (a) and B (b), diluted with 50% of canola oil crystallized at 30°C. For abbreviations see Figures 1 and 3.

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Soft-matter analysis by the NMR-MOUSE

Cited by 35 publications

References 0 publications

NMR detection of thermal damage in carbon fiber reinforced epoxy resins

NMR detection of thermal damage in carbon fiber reinforced epoxy resins

Least Squares Magnetic-Field Optimization for Portable Nuclear Magnetic Resonance Magnet Design

New technologies to determine solid fat content on‐line

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