Quality Evaluation and Prediction of Citrullus lanatus by¹H NMR-Based Metabolomics and Multivariate Analysis

Abstract

(1)H NMR spectrometry in combination with multivariate analysis was considered to provide greater information on quality assessment over an ordinary sensory testing method due to its high reliability and high accuracy. The sensory quality evaluation of watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) was carried out by means of (1)H NMR-based metabolomics. Multivariate analyses by partial least-squares projections to latent structures-discrimination analysis (PLS-DA) and PLS-regression offered extensive information for quality differentiation and quality evaluation, respectively. The impact of watermelon and rootstock cultivars on the sensory qualities of watermelon was determined on the basis of (1)H NMR metabolic fingerprinting and profiling. The significant metabolites contributing to the discrimination were also identified. A multivariate calibration model was successfully constructed by PLS-regression with extremely high reliability and accuracy. Thus, (1)H NMR-based metabolomics with multivariate analysis was considered to be one of the most suitable complementary techniques that could be applied to assess and predict the sensory quality of watermelons and other horticultural plants.

A metabolomic study on the biological effects of metal pollutions in oysters Crassostrea sikamea

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A metabolomic investigation of the effects of metal pollution in oysters Crassostrea hongkongensis

“…Therefore, metabolomics can detect differences in the metabolome profile in response to environmental stressors (Cappello et al, 2013;Fasulo et al, 2012;Kwon et al, 2012). It has also been widely applied in multiple areas such as food quality (Tarachiwin et al, 2008), ecotoxicology (Jones et al, 2008) and plant sciences (Kim et al, 2010). Cappello et al (2013) successfully identified metabolic responses to environmental pollution, primarily from exposure to Hg and polyaromatic hydrocarbons (PAHs), in the mussel Mytilus galloprovincialis caged in anthropogenic-impacted and reference sites along the Augusta coastline (Sicily, Italy).…”

Fast GC‐FID based metabolic fingerprinting of Japanese green tea leaf for its quality ranking prediction

“…The data files were scaled with Pareto scaling without any transformation. The explanation of PLS and OSC-PLS can be found elsewhere [6,7].…”

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