A critical review of analytical methods for determination of curcuminoids in turmeric

Kotra, Venkata Subba Rao; Satyabanta, Laishram; Goswami, T.K.

doi:10.1007/s13197-019-03986-1

Cited by 48 publications

(36 citation statements)

References 85 publications

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“…Quantification or qualification of plant VOCs is difficult due to their presence in small amounts and close similarity between molecules. Although a number of analytical methods including organoleptic, physical, chemical, and spectroscopic techniques are available for the characterisation of the plant VOCs [27], the chromatographic techniques have been extensively used due the ability to mediate comprehensive separation and identification of plant VOCs [28,29]. GC is thought to be the most suitable platform for analysing plant VOCs due to their volatility and low molecular weights [30].…”

Section: Analysis Of Plant Volatile Organic Compoundsmentioning

confidence: 99%

Nanoencapsulation of Plant Volatile Organic Compounds to Improve Their Biological Activities

Mun

Townley

2020

Planta Med

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Plant volatile organic compounds (volatiles) are secondary plant metabolites that play crucial roles in the reproduction, defence, and interactions with other vegetation. They have been shown to exhibit a broad range of biological properties and have been investigated for antimicrobial and anticancer activities. In addition, they are thought be more environmentally friendly than many other synthetic chemicals 1. Despite these facts, their applications in the medical, food, and agricultural fields are considerably restricted due to their volatilities, instabilities, and aqueous insolubilities. Nanoparticle encapsulation of plant volatile organic compounds is regarded as one of the best strategies that could lead to the enhancement of the bioavailability and biological activity of the volatile compounds by overcoming their physical limitations and promoting their controlled release and cellular absorption. In this review, we will discuss the biosynthesis and analysis of plant volatile organic compounds, their biological activities, and limitations. Furthermore, different types of nanoparticle platforms used to encapsulate the volatiles and the biological efficacies of nanoencapsulated volatile organic compounds will be covered.

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Section: Analysis Of Plant Volatile Organic Compoundsmentioning

confidence: 99%

Nanoencapsulation of Plant Volatile Organic Compounds to Improve Their Biological Activities

Mun

Townley

2020

Planta Med

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“…Therefore, UHPLC-HRMS "metabolomic" fingerprints are expected to provide good chemical features to address sample classification. Polyphenolic and curcuminoid compounds are among the bioactive substances most frequently found in turmeric and curry samples, and they are usually determined by LC-MS with electrospray in negative ionization mode [14,38].…”

Section: Non-targeted Uhplc-hrms Fingerprintingmentioning

confidence: 99%

“…Few critical reviews addressing the characterization and determination of curcumin and curcumin derivatives in turmeric samples have been reported [1,2,13,14]. Analytical methodologies involved spectroscopy such as ultraviolet [15], fluorescence [16], infrared [17,18], and nuclear magnetic resonance (NMR) [19], as well as separation techniques such as capillary electrophoresis (CE) [20][21][22], liquid chromatography (LC) [23][24][25][26], and gas chromatography (GC) [27,28].…”

Section: Introductionmentioning

confidence: 99%

Non-Targeted Ultra-High Performance Liquid Chromatography-High-Resolution Mass Spectrometry (UHPLC-HRMS) Fingerprints for the Chemometric Characterization and Classification of Turmeric and Curry Samples

et al. 2020

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In this work, non-targeted ultra-high performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) fingerprints obtained by C18 reversed-phase chromatography were proposed as sample chemical descriptors for the characterization and classification of turmeric and curry samples. A total of 21 turmeric and 9 curry commercially available samples were analyzed in triplicate after extraction with dimethyl sulfoxide (DMSO). The results demonstrated the feasibility of non-targeted UHPLC-HRMS fingerprints for sample classification, showing very good classification capabilities by partial least squares regression-discriminant analysis (PLS-DA), with 100% classification rates being obtained by PLS-DA when randomly selected samples were processed as “unknown” ones. Besides, turmeric curcuma species (Curcuma longa vs. Curcuma zedoaria) and turmeric Curcuma longa varieties (Madras, Erodes, and Alleppey) discrimination was also observed by PLS-DA when using the proposed fingerprints as chemical descriptors. As a conclusion, non-targeted UHPLC-HRMS fingerprinting is a suitable methodology for the characterization, classification, and authentication of turmeric and curry samples, without the requirement of using commercially available standards for quantification nor the necessity of metabolite identification.

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“…TLC could be used for qualitative and semiquantitative analysis, required less organic solvent, and required less time for analysis. Moreover, optimization of the TLC system could be performed in curcumin analysis for medicinal plant authentication [ 13 ]. The latter metabolomic approach using 1 H-NMR-based metabolite fingerprinting is gaining popularity in the field of discrimination and authentication of medicinal plants.…”

Section: Introductionmentioning

confidence: 99%

The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and 1H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis

et al. 2020

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The identification of adulteration practices of medicinal plants used as herbal medicine is very important to ensure the quality, safety, and efficacy. In this study, thin layer chromatography (TLC) and proton nuclear magnetic resonance (1H-NMR)-based metabolite fingerprinting coupled with multivariate analysis were used for authentication of Curcuma xanthorrhiza extract from Curcuma aeruginosa. Curcumin contents obtained from C. xanthorrhiza extract from various regions were in the range of 0.74%–1.23%. Meanwhile, curcumin contents obtained from C. xanthorrhiza extract adulterated with 0%, 10%, 25%, 40%, 50%, and 75% of C. aeruginosa were 1.02%, 0.96%, 0.86%, 0.69%, 0.43%, and 0.27%, respectively. The decreasing of curcumin contents in adulterant concentrations of 40% and more in C. xanthorrhiza rhizome could indicate the adulteration with other rhizomes. Multivariate analysis of PCA (principal component analysis) using data set obtained from 1H-NMR spectra clearly discriminated pure and adulterated C. xanthorrhiza with C. aeruginosa. OPLS-DA (orthogonal projections to latent structures-discriminant analysis) successfully classified pure and adulterated C. xanthorrhiza with higher R2X (0.965), R2Y (0.958), and Q2(cum) (0.93). It can be concluded that 1H-NMR-based metabolite fingerprinting coupled with PCA and OPLS-DA offers an adequate method to assess adulteration practice and to evaluate the authentication of C. xanthorrhiza extracts.

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A critical review of analytical methods for determination of curcuminoids in turmeric

Cited by 48 publications

References 85 publications

Nanoencapsulation of Plant Volatile Organic Compounds to Improve Their Biological Activities

Nanoencapsulation of Plant Volatile Organic Compounds to Improve Their Biological Activities

Non-Targeted Ultra-High Performance Liquid Chromatography-High-Resolution Mass Spectrometry (UHPLC-HRMS) Fingerprints for the Chemometric Characterization and Classification of Turmeric and Curry Samples

The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and 1H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis

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