Infrared thermo-spectroscopic imaging of styrene radical polymerization in microfluidics

Ryu, Meguya; Kimber, James A.; Sato, Tomoya; Nakatani, Ryuichi; Hayakawa, Teruaki; Romano, M.; Pradère, Christophe; Hovhannisyan, A. A.; Kazarian, Sergei G.; Morikawa, Junko

doi:10.1016/j.cej.2017.05.001

Cited by 31 publications

(18 citation statements)

References 32 publications

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“…The thermal digital signal can be translated to temperature of a certain area of the sample if the relationships among concentration, temperature, and IR emisssion are determined beforehand. This requires calibration for concentration vs thermal signal and temperature vs thermal signal on the sample examined, as discussed by Ryu et al . Nonetheless, subjecting biological specimens to heating can result in irreversible cellular and structural changes , thus the calibration is avoided in this case.…”

Section: Resultsmentioning

confidence: 99%

“…The input trigger of the camera is highly synchronised with the signal to the chopper to achieve high simultaneity in measurement with the in‐house written LabView software (Tokyo Institute of Technology, Tokyo, Japan). A schematic of the optical setup is shown by Ryu et al .…”

Section: Methodsmentioning

confidence: 99%

“…The instrument in our study (described in the “Experimental Setup” section) can correct for this effect. The system has shown to have a great advantage when taking simultaneous IR spectroscopic and thermal measurements on a dynamic system to study polymerisation in microfluidics and phase change of a material . Here, we want to show that it is advantageous for a static sample as well.…”

Section: Introductionmentioning

confidence: 99%

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Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue

Song

Ryu

Morikawa

et al. 2018

Journal of Biophotonics

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A system that combines dispersive infrared micro-spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivity to be interpreted from the integrated absorbance obtained by spectroscopic imaging. Biochemical differences between cancer and benign areas within the specimens are identified in the spectra. Side-by-side comparison of H&E stained adjacent tissue sections with infrared images constructed before and after the removal of thermal effect showed that the latter strongly support differentiation of regions within tissues. The use of spectral bands at discrete wavelengths significantly reduced spectral acquisition time, making this technique promising as a future clinical diagnostic tool. A systemic methodology was implemented to process the data, first by k-means clustering on the second derivative spectra without a priori knowledge, followed by principal component analysis (PCA). Four distinct regions within the tissue samples were successfully classified based on the antisymmetric stretching mode of the methylene functional group. Separation between data in clusters occurs when projecting spectra on a PCA score plot on a plane made by first 2 principal components. The significance of the disparity was verified with statistical test. Regulation of signal to chopper and detector enables simultaneous acquisition of infrared and thermal images of the prostate biopsy tissues.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue

Song

Ryu

Morikawa

et al. 2018

Journal of Biophotonics

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“…In this study, the co-flow interface between water and ethanol, water and HCl solution, and styrene radical polymerization were chosen for the example of two components system, and the neutralization reaction of acid and base was chosen for the three components concentration distributed system of HCl, NaOH, and NaCl solution. The conventional micro-scale thermos-spectroscopic imaging set up for microfluidics chip [3] was used for the experiment and E image were obtained from the thermal emission image of the set up and C image were obtained from spectroscopic image of the system. For the phase transition, solid-rotator-liquid transition of n -tetracosane (C24H50, C24) was chosen for the investigation.…”

Section: Methodsmentioning

confidence: 99%

Observation of the temperature field dynamics by the thermospectroscopic imaging

Ryu¹,

Morikawa²

2019

Proceedings of QIRT Asia 2019

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Non-contact qualitative measurement of the temperature field with Infrared camera based on the thermal radiation measurement has been extensively investigated for the material thermal characterization and observation of the thermal energy transfer in a microscale. Non-contact temperature measurement has the advantage that the sensor itself does not disturb the temperature field in the sample. However, the estimation of the absolute value of the temperature from the thermal radiation is not always possible, especially in the concentration distributed field, such as in a liquid mixture or in the coexistence region of the several phases of the material. This is due to the emissivity distribution of the sample. Microscale thermospectroscopic imaging has been developed for the simultaneous imaging of the infrared spectrum and thermal emission in mid IR region with microscale special resolution. This imaging method was further extended for the quantitative analysis of the concentration and temperature field in organic molecular system, such as phase transition or the chemical reaction in the microfluidics. This imaging method for the temperature estimation is based on the spatial correlation between emissivity distribution and concentration distribution. In this study, generalized analysis method of the thermospectroscopic imaging was investigated, and the analysis of the phase transition and microscale mixing of the liquids are explained by a unified equation for the concentration and temperature dependent IR camera signal.

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“…Such systems require integration with micromixers to mix reagent molecules, fluids or species for chemical reactions [1], which emphasizes on the significance of mixing in micro-scale. The applications of micromixing cover a variety of fields, including biomedical systems [2], sample concentration [3], chemical synthesis [4], chemical reactors [5], polymerization [6], extraction [7], DNA purification [8], biological analysis processes [9], droplet [10] and emulsion [11] processes. The growing demand for micromixers in such fields necessitates the understanding of the involved mechanisms in order to improve their design for effective mixing.…”

Section: Introductionmentioning

confidence: 99%

Inertial Micromixing in Curved Serpentine Micromixers with Different Curve Angles

Alijani

Özbey

Karimzadehkhouei

et al. 2019

Fluids

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Micromixers are of considerable significance in many microfluidics system applications, from chemical reactions to biological analysis processes. Passive micromixers, which rely solely on their geometry, have the advantages of low cost and a less-complex fabrication process. Dean vortices seen in curved microchannels are one of the useful tools to enhance micromixing. In this study, the effects of curve angle on micromixing were experimentally investigated in three curved serpentine micromixers consisting of ten segments with curve angles of 180 ° , 230 ° and 280 ° , at Dean numbers between 12 and 87. To characterize and compare the performance of the micromixers, fluorescence intensity maps and mixing indices were utilized. Accordingly, the micromixer having segments with 280 ° curve angle had significantly higher mixing index values up to the Dean number 60 and outperformed the other two micromixers. This was due to the severe distortion of flow streamlines by Dean vortices and the occurrence of chaotic advection at lower Dean numbers. Beyond the Dean number of 70, no difference was observed in the performance of the micromixers and the mixing index at their outlets had the asymptotic value of 0.93 ± 0.02. Furthermore, the flow behavior of the micromixers was numerically simulated to provide further insight about the mixing phenomena.

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Infrared thermo-spectroscopic imaging of styrene radical polymerization in microfluidics

Cited by 31 publications

References 32 publications

Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue

Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue

Observation of the temperature field dynamics by the thermospectroscopic imaging

Inertial Micromixing in Curved Serpentine Micromixers with Different Curve Angles

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