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Color, proximate composition, bioactive compounds and antinutrient profiling of rose.

Sharmila Rani Mallick1, Jahidul Hassan2, Md Azizul Hoque3

  • 1Department of Horticulture, Faculty of Agriculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh. sharmila@bsmrau.edu.bd.

Scientific Reports
|September 17, 2024
PubMed
Summary

This study analyzed rose petal color, bioactive compounds, and antinutrients to identify promising genotypes. Genotypes R9, R10, R1, R2, R6, and R7 show potential for cosmetic, food, and pharmaceutical applications.

Keywords:
AntinutrientAntioxidantsBioactive compoundsColorMolar ratioRose petalSecondary metabolitesVariability

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Area of Science:

  • Plant science
  • Biochemistry
  • Agricultural science

Background:

  • Roses (Rosa sp.) are globally significant ornamentals with diverse applications in cosmetics, perfumes, pharmaceuticals, and food industries.
  • Petal color variation in roses is linked to phytochemicals, secondary metabolites, and antinutrient properties, influencing their commercial value.
  • Identifying specific rose genotypes with desirable bioactive compound profiles is crucial for targeted industrial utilization.

Purpose of the Study:

  • To explore the association between rose petal color, bioactive compounds, and antinutritional profiles.
  • To evaluate and sort promising rose genotypes based on their phytochemical and antinutrient content.
  • To identify rose genotypes with high potential for applications in cosmetics, food coloration, and drug synthesis.

Main Methods:

  • Quantitative and qualitative analyses including colorimetric, spectrophotometric, and visual assessments.
  • Randomized complete block design (RCBD) with three replications for ten rose genotypes (R1-R10).
  • Proximate composition analysis, bioactive compound quantification (carotenoids, anthocyanins, tocopherols, phenolics, flavonoids), and antinutrient profiling (tannins, alkaloids, saponins, phytates).
  • Statistical analyses including Principal Component Analysis (PCA), correlation matrix, and cluster analysis.

Main Results:

  • Significant variations in petal color, lightness, and luminosity were observed among genotypes.
  • Genotype R10 exhibited the highest carotenoid and β-carotene content, while R7 showed maximum anthocyanin and betacyanin.
  • Genotype R8, R6, and R3 had the highest tocopherol, phenolic, and flavonoid content, respectively. R1 demonstrated the strongest free radical scavenging activity (lowest IC50).
  • Substantial variations in antinutrient content were noted, with some compounds present and others absent across genotypes.
  • PCA and cluster analysis grouped the ten genotypes into three clusters, with clusters II (R9, R10) and III (R1, R2, R6, R7) contributing most to the variations.

Conclusions:

  • Rose genotypes R9, R10, R1, R2, R6, and R7 are identified as valuable resources due to their rich bioactive compound profiles.
  • These selected genotypes hold significant potential for utilization in the cosmetic, food coloration, and pharmaceutical industries.
  • Further research into these genotypes can lead to the development of products with considerable health benefits and industrial applications.