Journal
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
Volume 50, Issue 10, Pages -Publisher
SCIENCE PRESS
DOI: 10.1016/j.cjac.2022.100145
Keywords
Amaranthus; Betacyanin; Color Grab App; Fourier-transform infrared spectroscopy; Pigment measurement; Quantification
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This study utilizes three methods (spectrophotometer, Smartphone-based Color Grab App, and mid-Infrared Spectra) to measure the variation of foliar betacyanin content in amaranth leaves. The results show significant correlations and provide non-invasive betacyanin estimation methods that are significant to food processors, consumers, farmers, and educational & research institutions.
Betacyanin of amaranth leaves serves as an important food colorant. The study involves three methods (spec-trophotometer, Smartphone-based Color Grab App, and mid-Infrared Spectra) to measure foliar betacyanin con-tent variation in leaves, leaf extracts of seven amaranth genotypes, betanin standards. Absorbance values of sam-ples at 540 nm were measured using conventional spectrophotometry. It showed a significant linear regression with 15 leaf color attributes ( p = < 0.001 with R 2 = 0.77). The color grab app showed linearity (0.94), sensitivity (4.76 mu g mu L- 1), in betanin standards (0.025 to 7.5 mu g mu L- 1). It also had a limit of detection (0.18 mu g mu L- 1) and a limit of quantification (0.56 mu g mu L- 1). Absorbance was measured at 270 nm and 475 nm to understand protein and betaxanthin contents, respectively. Fourier transformed infrared spectra (399-4000 cm- 1) indicated correlation with betacyanin at 656 cm- 1, 665 cm - 1, 687 cm - 1, 689 cm- 1, 735 cm - 1, 737 cm- 1 and 741 cm- 1 wavenumbers. Android App-based non-invasive betacyanin estimation is significant to food processors, consumers, farmers, and a frugal science laboratory for educational & research institutions.
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