Characterization and discrimination of chilli peppers based on multi-element and non-targeted metabolomics analysis

Mi, Si; Yu, Wenlong; Li, Jian; Liu, Minxuan; Sang, Yaxin; Wang, Xianghong

doi:10.1016/j.lwt.2020.109742

Cited by 24 publications

(18 citation statements)

References 32 publications

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“…Consumption of chilli pepper or capsaicin might offer a potential healthy eating strategy, as proposed by a recent review ( Spencer & Dalton, 2020 ). Previous studies investigated the methods to extract capsaicinoids from chilli paste ( Civan & Kumcuoglu, 2019 ), and non-targeted metabolomics analysis was recently applied to characterise and discriminate chilli peppers ( Mi et al, 2020 ). However, the content of capsaicinoids varied from different chilli cultivars and processing methods ( Loizzo, Pugliese, Bonesi, Menichini, & Tundis, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Impact of capsaicin on aroma release and perception from flavoured solutions

Yang

Chen

et al. 2021

LWT

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Capsaicin is the main component in chilli pepper, which contributes to the spiciness of the food. However, the role of capsaicin on aroma perception has been controversial in the literature. This is the first study exploring the impact of capsaicin on aroma release and perception simultaneously. Flavoured solutions with 3-methylbutanal (nutty note) were made with or without 5 mg/L capsaicin. Real-time APCI-MS analysis was applied to investigate in-nose aroma release during and after consumption of the solutions, and sensory tests were simultaneously conducted to reveal any temporal perception changes over 60 s. The results from 15 participants with triplicates indicated that capsaicin had no significant impact on aroma concentration from aqueous solutions, but the aroma perception rating was significantly higher (p < 0.0001), increasing by 45%. Capsaicin also enhanced average saliva flow by 92% (p < 0.0001), and lower saliva flow participants were found to have lower spiciness and aroma ratings.

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Section: Introductionmentioning

confidence: 99%

Impact of capsaicin on aroma release and perception from flavoured solutions

Yang

Chen

et al. 2021

LWT

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“…Partial least squares discriminant analysis (PLS-DA) was conducted to clarify groups among clusters. Goodness of the fit and predictive ability of PLS-DA models were evaluated by R 2 and Q 2 values respectively 29 .…”

Section: Methodsmentioning

confidence: 99%

An Untargeted LC–MS based approach for identification of altered metabolites in blood plasma of rheumatic heart disease patients

Das

Kumar

Sharma

et al. 2022

Sci Rep

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Rheumatic heart disease (RHD) is often considered as a disease of developing countries and India is the home of about 40% of RHD patients. Environment seems to play a major role in its causation. Since gene environment interactions can lead to alterations of various metabolic pathways, identification of altered metabolites can help in understanding the various pathways leading to RHD. Blood plasma samples from 51 RHD and 49 healthy controls were collected for the study. Untargeted metabolomics approach was used to identify the metabolites that are altered in RHD patients. Data showed 25 altered metabolites among RHD patients. These altered metabolites were those involved in Purine, Glutamine, Glutamate, Pyrimidine, Arginine, Proline and Linoleic metabolism. Thus, the present study illuminates metabolic alterations among RHD patients which can help in determining the potential therapeutic targets.

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“…For non-targeted metabolite profiling, sesame seeds were processed following the protocols published by Mi et al [ 15 ] and Benton et al [ 16 ], with minor changes. An aliquot of sesame seeds (60 mg) was processed into paste with liquid nitrogen, followed by the addition of 1 mL of extraction solvent (methanol/acetonitrile/water, 2:2:1), and vigorously vortexed for 30 s. Then, the mixed solution was exposed to ultra-sonification for 30 min, and then incubated under −20 °C for 10 min to precipitate insoluble components.…”

Section: Methodsmentioning

confidence: 99%

“…The digested sesame seed samples were subjected to chemical element analysis according to our previously published protocols [ 15 ]. An Agilent 7700X ICP-MS instrument (Agilent Technologies, Palo Alto, CA, USA) was utilized with the operation conditions as: spray chamber temperature, 2 °C; forward power, 1280 W; sampling depth: 8 mm; the flow rate of makeup gas, carrier gas, and coolant gas at 1 L/min, 1 L/min, and 1.47 L/min, respectively.…”

Section: Methodsmentioning

confidence: 99%

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Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers

Wang

Zhang

et al. 2022

Foods

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The present study was conducted to clarify the differences in the multi-element, volatile organic compound, fatty acid, and metabolite fingerprints between black and white sesame seeds. A total of 53 chemical elements, 32 volatile flavor compounds, 40 fatty acids, and 283 metabolites were identified and evaluated in the two groups of sesame seeds. Univariate and multivariate statistics indicated a distinct separation between the two groups of sesame seeds. A panel of 16 chemical elements, 3 volatile compounds, 8 individual fatty acids, and 54 metabolites with p value < 0.05 and variable importance in projection score > 1 were selected as the most important discriminants for the two types of sesame seeds. Overall, these data reveal the influence of genotype on the chemical composition of sesame seeds. Our findings also demonstrate that the hybrid model of instrumental analysis and chemometrics is feasible for the discrimination of black and white sesame seeds.

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Characterization and discrimination of chilli peppers based on multi-element and non-targeted metabolomics analysis

Cited by 24 publications

References 32 publications

Impact of capsaicin on aroma release and perception from flavoured solutions

Impact of capsaicin on aroma release and perception from flavoured solutions

An Untargeted LC–MS based approach for identification of altered metabolites in blood plasma of rheumatic heart disease patients

Discrimination of Black and White Sesame Seeds Based on Targeted and Non-Targeted Platforms with Chemometrics: From Profiling towards Identification of Chemical Markers

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