2024
DOI: 10.1021/acsphyschemau.3c00065
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Raman Spectroscopic Insights of Phase-Separated Insulin Aggregates

Sandip Dolui,
Anupam Roy,
Uttam Pal
et al.

Abstract: Phase-separated protein accumulation through the formation of several aggregate species is linked to the pathology of several human disorders and diseases. Our current investigation envisaged detailed Raman signature and structural intricacy of bovine insulin in its various forms of aggregates produced in situ at an elevated temperature (60 °C). The amide I band in the Raman spectrum of the protein in its native-like conformation appeared at 1655 cm −1 and indicated the presence of a high content of αhelical s… Show more

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“…The Amide III band (associated with a combination of N-H bending, C-N stretching, and N-H in-plane bending vibrations) was found at 1337 cm -1 , whereas the disulfide bond band, which is of great importance for stabilizing the tertiary structure of insulin, appears at 563 cm -1 . A strong band observed at 1003 cm -1 can be assigned to the C-C stretching vibrations of the phenyl ring of the Phenylalanine (Phe) residue (9,11,(13)(14)(15). The bands assigned with the highest VIP factors are complementary to the characteristic spectral bands of insulin, thus confirming the model's capability in explaining the correlation among the variations in the Y (insulin concentration) and X (Raman spectra) data matrices.…”
Section: Chemometric Approach For Quantification Of Insulin Aspartmentioning
confidence: 76%
“…The Amide III band (associated with a combination of N-H bending, C-N stretching, and N-H in-plane bending vibrations) was found at 1337 cm -1 , whereas the disulfide bond band, which is of great importance for stabilizing the tertiary structure of insulin, appears at 563 cm -1 . A strong band observed at 1003 cm -1 can be assigned to the C-C stretching vibrations of the phenyl ring of the Phenylalanine (Phe) residue (9,11,(13)(14)(15). The bands assigned with the highest VIP factors are complementary to the characteristic spectral bands of insulin, thus confirming the model's capability in explaining the correlation among the variations in the Y (insulin concentration) and X (Raman spectra) data matrices.…”
Section: Chemometric Approach For Quantification Of Insulin Aspartmentioning
confidence: 76%