Simultaneous determination of mixtures in liquid by laser-induced photoacoustic spectroscopy

Oda, Shingo; Sawada, Tsuguo; Nomura, Mitsuaki.; Kamada, Hitoshi

doi:10.1021/ac50042a025

Cited by 23 publications

(12 citation statements)

References 11 publications

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“…(b) False-color composite score image with overlay of highlighted pixels from the three classes outlined in part a. A scatter plot of the first two score vectors (t 1 vs t 2 ) s illustrated as a color coded two dimensional histogram in figure (5), where two main clusters exist, the top left represents the image background and the bottom right represents the image code. Also, t 1 values increase from right to left and t 2 values increase from top to bottom.…”

Section: -Resultsmentioning

confidence: 99%

“…The above analysis can be easily implemented as a monitoring system to detect the breast cancer tumor. By using the local areas masks in figure (5), along with the loading vectors p1 and p2, a training model could then be used to detect the tumor existence from RGB images. Any new image sample must be rearranged into two way array and multiplied with the model loading vectors to produce the corresponding score vectors.…”

Section: -Resultsmentioning

confidence: 99%

“…A numerical time dependent solution of the thermoelastic wave equation has been obtained for laser-induced heating of a polymer film in a three-dimensional cylindrical symmetric geometry. This solution shows that the sample will undergo thermelastic expansion, [5][6] [7]as the surface will reach a new equilibrium position. The time constant of this expansion is governed by the ratio of the 1/e depth of laser light absorption, to the speed of the sound in the sample.1/ eff C, and the thermal relaxation time is a/k 2 eff , where  eff is the effective attenuation coefficient, C the longitudinal sound speed, k the thermal diffusivity and a numerical constant depend on geometry.…”

Section: Figure1mentioning

confidence: 99%

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Laser-induced photoacoustic imaging for breast cancer detection using multivariate image analysis.

El-Sharkawy

Hussein

Abbass

2010

The International Conference on Applied Mechanics and Mechanica

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Time-resolved photoacoustic imaging has been used to characterize breast tissue for the purpose of discriminating between normal and maligned areas of the tissue. Ultrasonic thermoelastic waves were generated in breast tissue by the absorption of nanosecond laser pulses at 193 nm produced by Q-switched Excimer laser in conjunction with a Michelson interferometer used to detect the thermoelastic waves and plot the 2-D and the 3-D image through IR-CCD. The concepts behind the use of photo-acoustic techniques for off-line detection of breast cancer tumor features were presented in earlier research papers [1][2]. This paper illustrates the application of multivariate image analysis (MIA) techniques to detect the presence of tumor features of breast cancer. MIA is used to rapidly detect the presence and quantity of common tumor features as they scanned by an RGB camera. Multiway principal component analysis is used to decompose the acquired three-channel tumor images into a two dimensional principal components (PC) space. Masking score point clusters in the score space and highlighting corresponding pixels in the image space of the two dominant PCs enables isolation of tumor defect pixels based on contrast and color information. The technique provides a qualitative result that can be used for early tumor detection. The proposed technique can potentially be used on-line to prescreen the existence of tumors through vision based systems.

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Section: -Resultsmentioning

confidence: 99%

Section: -Resultsmentioning

confidence: 99%

Section: Figure1mentioning

confidence: 99%

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Laser-induced photoacoustic imaging for breast cancer detection using multivariate image analysis.

El-Sharkawy

Hussein

Abbass

2010

The International Conference on Applied Mechanics and Mechanica

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“…EXPERIMENTAL Apparatus. The apparatus used in the present investigation was almost the same as the one in our previous papers (6)(7)(8)(9). However, some improvements were made for the measurement of material in suspension.…”

Section: 303mentioning

confidence: 99%

Analysis of turbid solutions by laser-induced photoacoustic spectroscopy

Oda¹,

Sawada²,

Moriguchi³

et al. 1980

Anal. Chem.

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“…Both chopped continuous wave (CW) and pulsed laser excitation have been utilized (1)(2)(3)(4); however, pullsed photoacoustic spectroscopy ha5 been shown to be the more sensitive technique, since the pulsed photoacoustic signal is directly dependent upon the laser pulse energy (3,4). Both chopped continuous wave (CW) and pulsed laser excitation have been utilized (1)(2)(3)(4); however, pullsed photoacoustic spectroscopy ha5 been shown to be the more sensitive technique, since the pulsed photoacoustic signal is directly dependent upon the laser pulse energy (3,4).…”

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confidence: 99%

Pulsed photoacoustic spectroscopy and spectral deconvolution with the Kalman filter for determination of metal complexation parameters

Rutan¹,

Brown²

1983

Anal. Chem.

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1707multiple determination (R2) exceeding 0.97. For the analysis of simulated unknown mixtures within the calibration range (set A), the mean deviation was less than 1.10 mg/dL for any of the components. Folr unknown mixtures outside of the calibration range (set EN), errors are still tolerable, with the mean deviation not exceeding 1.71 mg/dL for the least accurate component, phospholipids. The mean deviation for triglycerides (0.68 mg/dIJ and cholesteryl esters (1.24 mg/dL) was much better. CONCLUSIONThe first known simultaneous determination of triglycerides, phospholipids, and cholesteryl esters has been made possible by using a multiple least-squares regression method in P-matrix form. The analysis matrix was prepared from calibration of 85 standards, using absorbance data measured at 15 evenly spaced wavelengths over the absorption region of interest. A linear model in the form C = PA + Po gave optimum results for the analysis of mixtures within calibration limits.This method of analyzing the predominant serum lipids by class is presently being applied to the analysis of native serum and results will be reported in a future paper. The methods developed are applicable to the analysife of other complex mixtures, especially systems involving components with highly overlapping spectra. ACKNOWLEDGMENTWe wish to thank R. J. Obremski for many helpful sug-Registry No. Tripalmitin, 555-44-2; dipalmitoyl-DL-a-phos-gestions and M. A. Maris for computer assistance.phatidylcholine, 2797-68-4; cholesteryl palmitate, 601-34-3.

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Simultaneous determination of mixtures in liquid by laser-induced photoacoustic spectroscopy

Cited by 23 publications

References 11 publications

Laser-induced photoacoustic imaging for breast cancer detection using multivariate image analysis.

Laser-induced photoacoustic imaging for breast cancer detection using multivariate image analysis.

Analysis of turbid solutions by laser-induced photoacoustic spectroscopy

Pulsed photoacoustic spectroscopy and spectral deconvolution with the Kalman filter for determination of metal complexation parameters

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