2017
DOI: 10.1016/j.saa.2016.11.017
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Identification of protein secondary structures by laser induced autofluorescence: A study of urea and GnHCl induced protein denaturation

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Cited by 12 publications
(6 citation statements)
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“…Excitation-dependent multicolor FL in the range of 450-550 nm was found in amyloid fibers and spherulites fabricated from β-LG from bovine milk and bovine insulin [96]. Recently, the use of laser-induced fibril FL properties as a characterization method for biological protein secondary structures, in addition to convention circular dichroism, was proposed [97]. Moreover, this FL effect allows the direct observation of the seeding, nucleation, and growth of amyloid fibrils at the earliest stages of this amyloidosis ( Figure 6) [85].…”
Section: Intrinsic Fluorescence In Amyloid Fibrilsmentioning
confidence: 99%
“…Excitation-dependent multicolor FL in the range of 450-550 nm was found in amyloid fibers and spherulites fabricated from β-LG from bovine milk and bovine insulin [96]. Recently, the use of laser-induced fibril FL properties as a characterization method for biological protein secondary structures, in addition to convention circular dichroism, was proposed [97]. Moreover, this FL effect allows the direct observation of the seeding, nucleation, and growth of amyloid fibrils at the earliest stages of this amyloidosis ( Figure 6) [85].…”
Section: Intrinsic Fluorescence In Amyloid Fibrilsmentioning
confidence: 99%
“…Besides, due to their complex structure, easy inactivation, and denaturation, it is difficult to modify additional active functions to them. [13,14] Therefore, based on the excellent biological properties of proteins, in order to enrich the functions of protein-based biomaterials, new methods to make specific functional modifications are expected, which enables the extension, the design and application of functional protein-based biomaterials.…”
mentioning
confidence: 99%
“…The spectral unmixing process benefits from the acquisition of autofluorescence spectra, characterized by the separation into autofluorescence components and optimization of each component’s spectrum from actual sample data. The autofluorescence spectra from different cells vary based on the contained autofluorescence molecules 22 and are also influenced by tissue fixation conditions 23, 24 . The separation of autofluorescence spectrum components aligns with cellular type differences and is optimized from spectral data acquired from unstained slides, starting with five fluorescence spectra: NADH and FAD as fluorescent nucleotides, arachidonic acid for lipids, porphyrins constituting hemoglobin and cytochrome, and the mounting agent (Fig.…”
Section: Resultsmentioning
confidence: 99%