2014
DOI: 10.1140/epje/i2014-14102-6
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The extrinsic hysteresis behavior of dilute binary ferrofluids

Abstract: We report on the magnetization behavior of dilute binary ferrofluids based on γ-Fe(2)O(3)/Ni(2)O(3) composite nanoparticles (A particles), with diameter about 11 nm, and ferrihydrite (Fe(5)O(7)(OH) ・4H2O) nanoparticles (B particles), with diameter about 6 nm. The results show that for the binary ferrofluids with A-particle volume fraction φ(A) = 0.2% and B-particle volume fractions φ(B) = 0.1% and φ(B) = 0.6%, the magnetization curves exhibit quasi-magnetic hysteresis behavior. The demagnetizing curves coincid… Show more

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“…[11][12][13] As these particles are shed into virtually every biological fluid and embody a good representation of their parent cell, analysis of the EV cargo has great potential for biomarker discovery and disease diagnosis. 14,15 Notably, researchers have also found many differentiating characteristics of the cancer cell-derived cargo including driver mutations, molecular subtypes, active miRNA, and proteins, which possess metastatic properties and have been shown to prepare the premetastatic niche. [16][17][18][19][20][21][22][23] Particularly promising are the findings that these EV-based disease markers can be identified well before the onset of symptoms or physiological detection of a tumor, making them promising candidates for early stage cancer and other disease detection.…”
Section: Introductionmentioning
confidence: 99%
“…[11][12][13] As these particles are shed into virtually every biological fluid and embody a good representation of their parent cell, analysis of the EV cargo has great potential for biomarker discovery and disease diagnosis. 14,15 Notably, researchers have also found many differentiating characteristics of the cancer cell-derived cargo including driver mutations, molecular subtypes, active miRNA, and proteins, which possess metastatic properties and have been shown to prepare the premetastatic niche. [16][17][18][19][20][21][22][23] Particularly promising are the findings that these EV-based disease markers can be identified well before the onset of symptoms or physiological detection of a tumor, making them promising candidates for early stage cancer and other disease detection.…”
Section: Introductionmentioning
confidence: 99%