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Li M, Sun Y, Yang X, Ke Z, Zhou J, Liang Z, Zhang S. Temperature measurement of aqueous solution in miniature sample chamber in microscopic system based on near-infrared spectrum. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2022; 93:123701. [PMID: 36586931 DOI: 10.1063/5.0111549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/11/2022] [Indexed: 06/17/2023]
Abstract
Measurement of the sample temperature in biophysics research is challenging, as the samples are commonly placed in a miniature sample chamber under a microscope. In this study, we proposed a method to measure the temperature of an aqueous solution in miniature sample chambers in a microscopic system. Existing studies show that the absorption coefficient spectrum of water shifts with temperature, especially in the near-infrared (NIR) band. We measured the absorption spectra of water with different temperatures and analyzed them, to build a mathematical model relating the temperature and the spectrum. A setup for temperature measurement in a microscopic system was designed and implemented by coupling a spectrometer and a light source to a microscope. The temperature could be calculated by the spectral data and the mathematical model while simultaneously observing the micro-image of the sample. A series of liquid samples at different temperatures were tested using the setup, and the root mean square error of the calculated temperature is less than 0.5 °C. The results demonstrate that the method based on the NIR spectrum can be used for noncontact and quick measurement of the liquid sample temperature in a microscopic system.
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Affiliation(s)
- Miao Li
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Yue Sun
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Xiao Yang
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Zeyu Ke
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Jinhua Zhou
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Zhen Liang
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
| | - Shengzhao Zhang
- School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China
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Kalaparthi V, Peng B, Peerzade SAMA, Palantavida S, Maloy B, Dokukin ME, Sokolov I. Ultrabright fluorescent nanothermometers. NANOSCALE ADVANCES 2021; 3:5090-5101. [PMID: 36132344 PMCID: PMC9418727 DOI: 10.1039/d1na00449b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/15/2021] [Indexed: 06/15/2023]
Abstract
Here we report on the first ultrabright fluorescent nanothermometers, ∼50 nm-size particles, capable of measuring temperature in 3D and down to the nanoscale. The temperature is measured through the recording of the ratio of fluorescence intensities of fluorescent dyes encapsulated inside the nanochannels of the silica matrix of each nanothermometer. The brightness of each particle excited at 488 nm is equivalent to the fluorescence coming from 150 molecules of rhodamine 6G and 1700 molecules of rhodamine B dyes. The fluorescence of both dyes is excited with a single wavelength due to the Förster resonance energy transfer (FRET). We demonstrate repeatable measurements of temperature with the uncertainty down to 0.4 K and a constant sensitivity of ∼1%/K in the range of 20-50 °C, which is of particular interest for biomedical applications. Due to the high fluorescence brightness, we demonstrate the possibility of measurement of accurate 3D temperature distributions in a hydrogel. The accuracy of the measurements is confirmed by numerical simulations. We further demonstrate the use of single nanothermometers to measure temperature. As an example, 5-8 nanothermometers are sufficient to measure temperature with an error of 2 K (with the measurement time of >0.7 s).
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Affiliation(s)
- V Kalaparthi
- Department of Mechanical Engineering, Department of Biomedical Engineering, Tufts University 200 College Ave. Medford MA 02155 USA
| | - B Peng
- Department of Biomedical Engineering 4 Colby Str. Medford MA 02155 USA
| | - S A M A Peerzade
- Department of Biomedical Engineering 4 Colby Str. Medford MA 02155 USA
| | - S Palantavida
- Department of Mechanical Engineering, Department of Biomedical Engineering, Tufts University 200 College Ave. Medford MA 02155 USA
| | - B Maloy
- Department of Physics, Tufts University 547 Boston Ave. Medford MA 02155 USA
| | - M E Dokukin
- Department of Mechanical Engineering, Department of Biomedical Engineering, Tufts University 200 College Ave. Medford MA 02155 USA
- Sarov Physics and Technology Institute Sarov Russian Federation
- National Research Nuclear University MEPhI Moscow Russian Federation
| | - I Sokolov
- Department of Mechanical Engineering, Department of Biomedical Engineering, Tufts University 200 College Ave. Medford MA 02155 USA
- Department of Biomedical Engineering 4 Colby Str. Medford MA 02155 USA
- Department of Physics, Tufts University 547 Boston Ave. Medford MA 02155 USA
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Dong G, Lu W, Zhao X, Guan X, Ji Y, Zhang X, Pan J, Ning J, Zhou H, Wang C. Real-time temperature measurement of living cells exposed to microwaves using a temperature-dependent fluorescent dye. Chem Phys 2021. [DOI: 10.1016/j.chemphys.2021.111190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Bermingham JF, Chen YY, McIntosh RL, Wood AW. A measurement and modeling study of temperature in living and fixed tissue during and after radiofrequency exposure. Bioelectromagnetics 2014; 35:181-91. [PMID: 24395299 DOI: 10.1002/bem.21834] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 12/02/2013] [Indexed: 11/12/2022]
Abstract
Fluorescent intensity of the dye Rhodamine-B (Rho-B) decreases with increasing temperature. We show that in fresh rat brain tissue samples in a custom-made radiofrequency (RF) tissue exposure device, temperature rise due to RF radiation as measured by absorbed dye correlates well with temperature measured nearby by fiber optic probes. Estimates of rate of initial temperature rise (using both probe measurement and the dye method) accord well with estimates of local specific energy absorption rate (SAR). We also modeled the temperature characteristics of the exposure device using combined electromagnetic and finite-difference thermal modeling. Although there are some differences in the rate of cooling following cessation of RF exposure, there is reasonable agreement between modeling and both probe measurement and dye estimation of temperature. The dye method also permits measurement of regional temperature rise (due to RF). There is no clear evidence of local differential RF absorption, but further refinement of the method may be needed to fully clarify this issue.
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Affiliation(s)
- Jacqueline F Bermingham
- Australian Centre for Electromagnetic Bioeffects Research, Brain and Psychological Sciences Research Centre (BPsyC), Swinburne University of Technology, Hawthorn, Australia
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Johansson L, Evander M, Lilliehorn T, Almqvist M, Nilsson J, Laurell T, Johansson S. Temperature and trapping characterization of an acoustic trap with miniaturized integrated transducers--towards in-trap temperature regulation. ULTRASONICS 2013; 53:1020-1032. [PMID: 23497805 DOI: 10.1016/j.ultras.2013.01.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2011] [Revised: 01/29/2013] [Accepted: 01/30/2013] [Indexed: 06/01/2023]
Abstract
An acoustic trap with miniaturized integrated transducers (MITs) for applications in non-contact trapping of cells or particles in a microfluidic channel was characterized by measuring the temperature increase and trapping strength. The fluid temperature was measured by the fluorescent response of Rhodamine B in the microchannel. The trapping strength was measured by the area of a trapped particle cluster counter-balanced by the hydrodynamic force. One of the main objectives was to obtain quantitative values of the temperature in the fluidic channel to ensure safe handling of cells and proteins. Another objective was to evaluate the trapping-to-temperature efficiency for the trap as a function of drive frequency. Thirdly, trapping-to-temperature efficiency data enables identifying frequencies and voltage values to use for in-trap temperature regulation. It is envisioned that operation with only in-trap temperature regulation enables the realization of small, simple and fast temperature-controlled trap systems. The significance of potential gradients at the trap edges due to the finite size of the miniaturized transducers for the operation was emphasized and expressed analytically. The influence of the acoustic near field was evaluated in FEM-simulation and compared with a more ideal 1D standing wave. The working principle of the trap was examined by comparing measurements of impedance, temperature increase and trapping strength with impedance transfer calculations of fluid-reflector resonances and frequencies of high reflectance at the fluid-reflector boundary. The temperature increase was found to be moderate, 7°C for a high trapping strength, at a fluid flow of 0.5mms(-1) for the optimal driving frequency. A fast temperature response with a fall time of 8s and a rise time of 11s was observed. The results emphasize the importance of selecting the proper drive frequency for long term handling of cells, as opposed to the more pragmatic way of selecting the frequency of the highest acoustic output. Trapping was demonstrated in a large interval between 9 and 11.5MHz, while the main trapping peak displayed FWHM of 0.5MHz. A large bandwidth enables a more robust manufacturing and operation while allowing the trapping platform to be used in applications where the fluid wavelength varies due to external variations in fluid temperature, density and pressure.
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Affiliation(s)
- Linda Johansson
- Department of Engineering Sciences, Uppsala University, Uppsala, Sweden.
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Shah JJ, Gaitan M, Geist J. Generalized temperature measurement equations for Rhodamine B dye solution and its application to microfluidics. Anal Chem 2009; 81:8260-3. [PMID: 19788318 DOI: 10.1021/ac901644w] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Temperature mapping based on fluorescent signal intensity ratios is a widely used noncontact approach for investigating temperature distributions in various systems. This noninvasive method is especially useful for applications, such as microfluidics, where accurate temperature measurements are difficult with conventional physical probes. However, the application of a calibration equation to relate fluorescence intensity ratio to temperature is not straightforward when the reference temperature in a given application is different than the one used to derive the calibration equation. In this report, we develop and validate generalized calibration equations that can be applied for any value of reference temperature. Our analysis shows that a simple linear correction for a 40 degrees C reference temperature produces errors in measured temperatures between -3 to 8 degrees C for three previously published sets of cubic calibration equations. On the other hand, corrections based on an exact solution of these equations restrict the errors to those inherent in the calibration equations. The methods described here are demonstrated for cubic calibration equations derived by three different groups, but the general method can be applied to other dyes and calibration equations.
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Gharibeh M, Tompsett G, Lu F, Auerbach SM, Yngvesson KS, Conner WC. Temperature Distributions within Zeolite Precursor Solutions in the Presence of Microwaves. J Phys Chem B 2009; 113:12506-20. [DOI: 10.1021/jp900394u] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Murad Gharibeh
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
| | - Geoffrey Tompsett
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
| | - Fan Lu
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
| | - Scott M. Auerbach
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
| | - K. Sigfrid Yngvesson
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
| | - W. C. Conner
- Department of Chemical Engineering, 159 Goessmann Laboratory, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, Department of Chemistry, 104 Lederle Graduate Research Tower, University of Massachusetts—Amherst, Amherst, Massachusetts 01003, and Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts—Amherst, Amherst, Massachusetts 01003
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