Phase transitions in polymorphic materials probed using space-resolved diffusing wave spectroscopy

Soft Matter ◽  
2018 ◽  
Vol 14 (31) ◽  
pp. 6439-6448 ◽  
Author(s):  
Med Yassine Nagazi ◽  
Philippe Dieudonné-George ◽  
Giovanni Brambilla ◽  
Gérard Meunier ◽  
Luca Cipelletti
Keyword(s):  
Phase Transitions ◽  
Light Scattering ◽  
Soft Matter ◽  
Contactless Method ◽  
Diffusing Wave Spectroscopy ◽  
Non Invasive ◽  
Polymorphic Materials

We demonstrate light scattering as a new non-invasive, contactless method to detect polymorphic phase transitions in soft matter.

Phase transitions in C2O4HNH4, 1/2 H2O. A light scattering study at normal pressure

1987 ◽  
Vol 48 (5) ◽  
pp. 809-819 ◽  
Author(s):  
J.L. Godet ◽  
M. Krauzman ◽  
J.P. Mathieu ◽  
H. Poulet ◽  
N. Toupry
Keyword(s):  
Phase Transitions ◽  
Light Scattering ◽  
Normal Pressure ◽  
Scattering Study

Using μ2rheology to quantify rheological properties during repeated reversible phase transitions of soft matter

Lab on a Chip ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2085-2094 ◽  
Author(s):  
Matthew D. Wehrman ◽  
Melissa J. Milstrey ◽  
Seth Lindberg ◽  
Kelly M. Schultz
Keyword(s):  
Phase Transitions ◽  
Rheological Properties ◽  
Soft Matter ◽  
Single Sample ◽  
Fluid Exchange ◽  
Reversible Phase ◽  
Surrounding Fluid

A novel microfluidic design enables repeated phase transitions in a single sample by surrounding fluid exchange and microrheological characterization.

scholarly journals Application of Dynamic and Static Light Scattering for Size and Shape Characterization of Small Extracellular Nanoparticles in Plasma and Ascites of Ovarian Cancer Patients

2021 ◽  
Vol 22 (23) ◽  
pp. 12946
Author(s):  
Ksenija Kogej ◽  
Darja Božič ◽  
Borut Kobal ◽  
Maruša Herzog ◽  
Katarina Černe
Keyword(s):  
Ovarian Cancer ◽  
Light Scattering ◽  
Spherical Particles ◽  
Radius Of Gyration ◽  
Non Invasive ◽  
Peritoneal Washing ◽  
Angular Dependency ◽  
Shape Characterization ◽  
Further Development

In parallel to medical treatment of ovarian cancer, methods for the early detection of cancer tumors are being sought. In this contribution, the use of non-invasive static (SLS) and dynamic light scattering (DLS) for the characterization of extracellular nanoparticles (ENPs) in body fluids of advanced serous ovarian cancer (OC) and benign gynecological pathology (BP) patients is demonstrated and critically evaluated. Samples of plasma and ascites (OC patients) or plasma, peritoneal fluid, and peritoneal washing (BP patients) were analyzed. The hydrodynamic radius (Rh) and the radius of gyration (Rg) of ENPs were calculated from the angular dependency of LS intensity for two ENP subpopulations. Rh and Rg of the predominant ENP population of OC patients were in the range 20–30 nm (diameter 40–60 nm). In thawed samples, larger particles (Rh mostly above 100 nm) were detected as well. The shape parameter ρ of both particle populations was around 1, which is typical for spherical particles with mass concentrated on the rim, as in vesicles. The Rh and Rg of ENPs in BP patients were larger than in OC patients, with ρ ≈ 1.1–2, implying a more elongated/distorted shape. These results show that SLS and DLS are promising methods for the analysis of morphological features of ENPs and have the potential to discriminate between OC and BP patients. However, further development of the methodology is required.

Evolutionary Soft Robotics

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 9-11
Author(s):  
Jun Ogawa
Keyword(s):  
Artificial Intelligence ◽  
Drug Delivery ◽  
Soft Matter ◽  
Associate Professor ◽  
Assistive Devices ◽  
Artificial Organs ◽  
Soft Robotics ◽  
Elastic Materials ◽  
Non Invasive ◽  
Living Organisms

Soft robotics is a subfield of robots that deals with constructing robots from soft, elastic materials similar to those found in living organisms. These robots offer a particular set of advantages compared with conventional rigid robots. For example, in medicine they can be used in drug delivery and non-invasive surgical procedures, and be employed as assistive devices, prostheses or artificial organs. The field takes great inspiration from the way living organisms move and adapt to their surroundings, and the flexibility and adaptability of soft robots make them invaluable tools. Dr Jun Ogawa is an Associate Professor in the Institute of Organic Materials at Yamagata University, Japan. His key research interests are soft matter robotics and embodied artificial intelligence (AI).

Detection of Arteries by Using Diffuse Reflectance Photoplethysmography

2010 ◽  
Author(s):  
Shinichiro Ota ◽  
Toshitaka Yasuda ◽  
Takashi Saito
Keyword(s):  
Light Scattering ◽  
Diffuse Reflectance ◽  
Pulse Wave ◽  
Arterial Pulse ◽  
Measurement Condition ◽  
Non Invasive ◽  
Arterial Pulse Wave ◽  
Light Scattering Intensity ◽  
The Difference ◽  
Invasive Measurement

Non-invasive measurement of the arterial pulse wave can be carried out by means of an optical sensor placed at the center of the artery. In this paper, we explore the possibility of using diffuse reflectance photoplethysmography (PPG) for the detection of arteries, a method that allows for the timely detection of changes in the blood pressure. It is believed that the light scattering intensity is affected by the presence of veins in the light path. The purpose of the present study is to elucidate the influence of veins on the accuracy of PPG. In this study, we used light scattering measurements to investigate the difference observed in the performance of PPG (wavelength: 810 and 530 nm) due to the presence of veins. On the basis of these results, we concluded that PPG at a wavelength of 810 nm is more susceptible to the presence of veins than at 530 nm. However, the influence of veins can be reduced by the measurement condition that surrounding veins are being crushed at a wavelength of 810 nm.

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