2019
DOI: 10.1016/j.foodchem.2019.04.120
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Raman spectroscopy for monitoring carotenoids in processed Bunchosia glandulifera pulps

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Cited by 16 publications
(4 citation statements)
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“…For Raman measurements, when excited with 532 and 633 nm lasers, the single-cell Raman spectra of AAPB and non-AAPB strains were very similar by showing three prominent Raman peaks at approximately 1000, 1157, and 1517 cm –1 (Figures and S2). These bands were assigned to carotenoids that have been widely detected in photosynthetic and CO 2 -fixation microorganisms, , consistent with UV–vis absorption observations. Such strong carotenoid bands were due to resonance Raman enhancement of carotenoids because the laser wavelengths of 532 and 633 nm were within or close to the electronic absorption of carotenoids.…”
Section: Resultsmentioning
confidence: 99%
“…For Raman measurements, when excited with 532 and 633 nm lasers, the single-cell Raman spectra of AAPB and non-AAPB strains were very similar by showing three prominent Raman peaks at approximately 1000, 1157, and 1517 cm –1 (Figures and S2). These bands were assigned to carotenoids that have been widely detected in photosynthetic and CO 2 -fixation microorganisms, , consistent with UV–vis absorption observations. Such strong carotenoid bands were due to resonance Raman enhancement of carotenoids because the laser wavelengths of 532 and 633 nm were within or close to the electronic absorption of carotenoids.…”
Section: Resultsmentioning
confidence: 99%
“…Interest has recently been growing in Raman spectroscopy, a fast, nondestructive, eco-friendly, and highly sensitivity analytical technique for the identification and quantification of food microconstituents [76,77]. Foods may therefore be classified with Raman spectroscopic information in combination with chemometric tools [77].…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…The content of CAROT was quantified using Raman spectroscopy in processed Bunchosia glandulifera, a fruit that originated from Brazil. The authors used PCA and PLS regression to identify and quantify total CAROT in B. glandulifera ( Carvalho et al, 2019 ).…”
Section: Measurement Of Metabolites In Fruitsmentioning
confidence: 99%