1 Advanced Energy Science and Technology, Guangdong Laboratory, Huizhou 516000, China; 2 Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China; 3 University of Chinese Academy of Sciences, Beijing 100049, China
Abstract Taking three typical soft samples prepared respectively by loose packings of 77-, 95-, and 109-μm copper grains as examples, we perform an experiment to investigate the energy-dependent laser-induced breakdown spectroscopy (LIBS) of soft materials. We discovered a reversal phenomenon in the trend of energy dependence of plasma emission intensity: increasing initially and then decreasing separated by a well-defined critical energy. The trend reversal is attributed to the laser-induced recoil pressure at the critical energy just matching the sample's yield strength. As a result, a one-to-one correspondence can be well established between the samples' yield stress and the critical energy that is easily obtainable from LIBS measurements. This allows us to propose an innovative method for estimating the yield stress of soft materials via LIBS with attractive advantages including in-situ remote detection, real-time data collection, and minimal destructive to sample.
(Interactions of particles and radiation with matter)
Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2017YFA0402300) and the National Natural Science Foundation of China (Grant Nos. U2241288 and 11974359).
Shuhang Gong(龚书航), Yaju Li(李亚举), Dongbin Qian(钱东斌), Jinrui Ye(叶晋瑞), Kou Zhao(赵扣), Qiang Zeng(曾强), Liangwen Chen(陈良文), Shaofeng Zhang(张少锋), Lei Yang(杨磊), and Xinwen Ma(马新文) Estimating the yield stress of soft materials via laser-induced breakdown spectroscopy 2024 Chin. Phys. B 33 034211
[1] Bonn D, Denn M M, Berthier L, Divoux T and Manneville S 2017 Rev. Mod. Phys.89 35005 [2] de Kee D 2021 Phys. Fluids33 111301 [3] Barnes H A and Nguyen Q D 2001 J. Nonnewton Fluid Mech.98 1 [4] Gouamba E, Goyon J and Coussot P 2019 Phys. Rev. Fluids4 123301 [5] Hahn D W and Omenetto N 2012 Appl. Spectrosc.66 347 [6] Fortes F J, Moros J, Lucena P, CabalÁn L M and Laserna J J 2013 Anal. Chem.85 640 [7] Wang Z, Afgan M S, Gu W, Song Y, Wang Y, Hou Z, Song W and Li Z 2021 Trends Analyt. Chem.143 116385 [8] David G, Meslin P Y, Dehouck E, Gasnault O, Cousin A, Forni O, Berger G, Lasue J, Pinet P, Wiens R C, Maurice S, Fronton J F and Rapin W 2021 Icarus365 114481 [9] Wisbrun R, Schechter I, Niessner R, Schroeder H and Kompa K L 1994 Anal. Chem.66 2964 [10] Viskup R, Praher B, Stehrer T, Jasik J, Wolfmeir H, Arenholz E, Pedarnig J D and Heitz J 2009 Appl. Surf. Sci.255 5215 [11] Kakalios J 2005 J. Appl. Phys.73 8 [12] Li Y, Li X, Li S, Zhou M, Qian D, Chen L, Yang J, Zhang S and Ma X 2021 J. Anal. At. Spectrom.36 1969 [13] Fernandez A, Mao X L, Chan W T, Shannon M A and Russo R E 1995 Anal. Chem.67 2444 [14] Duran J 2000 Sands, Powders, And Grains: An Introduction to the Physics of Granular Materials (New York: Springer) pp. 119-153 [15] Marston J O and Pacheco-Vázquez F 2019 Phys. Rev. E99 30901 [16] Li X, Li Y, Li S, Zhou M, Chen L, Meng J, Qian D, Yang J, Zhang S, Wu Y and Ma X 2021 Phys. Rev. Appl.16 24017 [17] Li S, Li Y, Li X, Chen L, Qian D, Zhang S and Ma X 2022 Chemosensors10 144 [18] Li X, Liu X, Gong S, Li Y, Chen L, Qian D, Zhang S and Ma X 2023 J. Anal. At. Spectrom38 902 [19] Cristoforetti G, Giacomo A, Dell'Aglio M, Legnaioli S, Tognoni E, Palleschi V and Omenetto N 2010 Spectrochim. Acta Part B At. Spectrosc.65 86 [20] Hang Y H, Qiu Y, Zhou Y, Liu T, Zhu B, Liao K, Shi M X and Xue F 2022 Chin. Phys. B31 24212 [21] Zhang S, Wang X, He M, Jiang Y, Zhang B, Hang W and Huang B 2014 Spectrochim. Acta Part B At. Spectrosc.97 13 [22] Ivković M and Konjević N 2017 Spectrochim. Acta Part B At. Spectrosc.131 79 [23] Kagawa K, Lie T, Hedwig R, Abdulmajid S, Suliyanti M and Kurniawan H 2000 Jpn. J. Appl. Phys.39 264 [24] Tsuyuki K, Miura S, Idris N, Kurniawan K, Lie T and Kagawa K 2006 Appl. Spectrosc.60 61
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.