Infrared–metabolomics approach in detecting changes in <i>Andrographis paniculata</i> metabolites due to different harvesting ages and times

Yusof, Nur A’thifah; Isha, Azizul; Ismail, Intan Safinar; Khatib, Alfi; Shaari, Khozirah; Abas, Faridah; Rukayadi, Yaya

doi:10.1002/jsfa.6987

Cited by 15 publications

(12 citation statements)

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“…Compounds such as methionine and lysine, from a previously reported metabolomics study of watermelons, were not able to be profiled [ 21 ]. This is probably due to the difference in cultivar types [ 21 ], harvest time [ 32 ], sample processing method [ 33 ], or even from the overlapping of signals in the 1 H-NMR spectra [ 13 ].The same applies to the unidentified carotenoids such as phytoene, phytofluene, ζ-carotene, α-carotene, neoxanthin, and neochrome, which were reported in other studies [ 24 , 25 , 26 ]. Despite the limitations in the detection of some metabolites, no metabolomics study has highlighted the color difference of the watermelon cultivars’ flesh as presented in the current report.…”

Section: Resultsmentioning

confidence: 99%

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

et al. 2020

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Watermelon, a widely commercialized fruit, is famous for its thirst-quenching property. The broad range of cultivars, which give rise to distinct color and taste, can be attributed to the differences in their chemical profile, especially that of the carotenoids and volatile compounds. In order to understand this distribution properly, water extracts of red and yellow watermelon pulps with predominantly polar metabolites were subjected to proton nuclear magnetic resonance (1H-NMR) analysis. Deuterium oxide (D2O) and deuterated chloroform (CDCl3) solvents were used to capture both polar and non-polar metabolites from the same sample. Thirty-six metabolites, of which six are carotenoids, were identified from the extracts. The clustering of the compounds was determined using unsupervised principal component analysis (PCA) and further grouping was achieved using supervised orthogonal partial least squares discriminant analysis (OPLS-DA). The presence of lycopene, β-carotene, lutein, and prolycopene in the red watermelon plays an important role in its differentiation from the yellow cultivar. A marked difference in metabolite distribution was observed between the NMR solvents used as evidenced from the PCA model. OPLS-DA and relative quantification of the metabolites, on the other hand, helped in uncovering the discriminating metabolites of the red and yellow watermelon cultivars from the same solvent system.

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Section: Resultsmentioning

confidence: 99%

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

et al. 2020

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“…Persiapan sampel yang cepat dan mudah, robust, dan non-destruktif menyebabkan teknik FTIR berpotensi untuk memperoleh data profil kimia pada penelitian ini (Pop et al, 2014). Metabolomik berbasis FTIR cukup sensitif digunakan untuk mengevaluasi perubahan metabolit buah pada berbagai musim (Hussain et al, 2009;Yusof et al, 2015) dan waktu panen (Yusof et al, 2015). Selain itu, metabolomik berbasis FTIR juga digunakan untuk mengevaluasi komposisi kimia secara kuantitatif untuk membedakan enam kultivar beri (Pop et al, 2014).…”

Section: Pendahuluanunclassified

SENYAWA INHIBITOR Α-Glukosidase DAN ANTIOKSIDAN DARI KUMIS KUCING DENGAN PENDEKATAN METABOLOMIK BERBASIS FTIR

Juliani

Yuliana

Budijanto

et al. 2016

jtip

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Plant is well known as an excellent source for b ioactive compounds. Metab olomics was reported as a potential tool to accelerate plant acitive compounds identification. In this research, FTIR-b ased metab olomics method was used to identify active compounds with α-glucosidase inhib itory and antioxidant activity in aerial parts of Orthosiphon stamineus (OS OPLS). Based on the VIP (variab le influence on projection), the coefficient value of the respective OPLS models, and IR datab ase of compounds previously identified in OS, it was suggested that methoxy flavonoid (sinensitin and 5,6,7,3'-tetramethoxy-4'-hydroxy-8-C-preny-lflavone), diterpenes (orthosiphols, orthoarisins, neoorthosiphols, staminols, and stam inolactones) and triterpenes (ursolic acid, oleanolic acid, b etulinic acid, hydroxyb etulinic acid, maslinic acid, α-amyrin and β-amyrin) were identified as responsib le compounds for the α-glucosidase inhibitory activity. Meanwhile phenolic (rosmarinic acid ), methoxy flavonoid (eupatorin, sinensetin, 5-hydroxy-6,7,3',4'-tetramethoxyflavone, salvigenin, 6-hydroxy-5,7,3'-trimethoxyflavone and 5,6,7,3'-tetramethoxy-4'-hydroxy-8-C-prenylflavone), diterpenes (orthosiphols, orthoarisins, neoorthosiphols, staminols, and staminolactones) and triterpenes (ursolic acid, oleanolic acid, b etulinic acid, hydroxyb etulinic acid, maslinic acid, α-amyrin and β-amyrin) were identified as responsib le compounds for the antioxidant activity. Keywords: α-glucosidase inhib itors, antioxidants, metab olomics, Orthosiphon stamineus ABSTRAK1Tumbuhan merupakan salah satu sumber senyawa aktif yang potensial. Pendekatan metabolomik dilaporkan sebagai salah satu metode alternatif yang dapat mempercepat proses identifikasi komponen aktif dari tumbuhan. Pada penelitian ini, metode metabolomik berbasis FTIR digunakan untuk meng-identifikasi senyawa aktif dengan aktivitas penghambatan terhadap enzim α-glukosidase dan antioksidan pada ekstrak dan fraksi tanaman kumis kucing (OS). Profil kimia ekstrak metanolik dan fraksi heksana, kloroform, butanol, dan air OS diukur dengan FTIR. Ekstrak dan fraksi OS menunjukkan aktivitas penghambatan terhadap enzim α-glukosidase dengan nilai IC50 berkisar 154,07±30,60-465,83±85,34 µg/mL dan aktivitas antioksidan dengan nilai IC50 berkisar 7,41±0,02-19,35±0,09 µg/mL. Fraksi butanol adalah fraksi dengan aktivitas penghambatan α-glukosidase tertinggi dan aktivitas antioksidan menengah dengan nilai IC 50 berturut-turut turut 154,07±30,60 µg/mL dan 10,84±0,54 µg/mL. Korelasi antara data aktivitas biologis dan komposisi kimia dianalisis dengan orthogonal projections to latent structures (OPLS). Berdasarkan nilai VIP (variab le influence on projection), nilai koefisien dari model OPLS, dan pangkalan data IR senyawa yang telah teridentifikasi pada OS. Metoksi flavonoid (sinensitin dan 5,6,7,3'-tetrametoksi-4'-hidroksi-8-C-prenilflavon), diterpena (ortosifol, ortoarisin, neoortosifol, staminol, dan staminolakton), triterpena (asam ursolat, asam oleanolat, asam betulinat, asam hidroksibetulinat, ...

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“…The A. paniculata seeds from three germplasm accessions of Malaysia (Accession 11,265, 11,341 and 11,248 which will be designated as H, P and T, respectively) were collected in July 2011 from Ladang Dua, Universiti Putra Malaysia (UPM). The germination and cultivation procedure in this study was performed according to Yusof et al (2014) [12].…”

Section: Plant Materials and Cultivationmentioning

confidence: 99%

“…The FTIR sample preparation and measurement in this study were performed according to Yusof et al (2014) [12]. The freeze-dried leaf powder of A. paniculata (150 mg) was extracted by sonication in 5 mL commercial-grade methanol (30 min, 40˚C).…”

Section: Ftir Sample Preparation and Measurementmentioning

confidence: 99%

Harvesting Age and Time Effect of <i>Andrographis paniculata</i> Leaf on Its Anti-Inflammatory Activity

Isha¹,

Yusof²,

Ismail³

2016

JBM

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In this study, Fourier Transform Infrared (FTIR)-, 1 H Nuclear Magnetic Resonance (NMR)-spectroscopy and multivariate statistical analysis were used for the screening of in vitro anti-inflammatory activity on three different germplasm accessions namely 11,341 (P), 11,248 (T) and 11,265 (H) of Malaysian Andrographis paniculata (A. paniculata) leaf. The anti-inflammatory activity by nitric oxide (NO) inhibition assay in relation to the different harvesting ages and times of A. paniculata leaf was determined through comparison by partial least-squares analysis (PLS) using SIMCA-P. The PLS allowed the separation and correlation between the NO assay with the phytochemical present due to the effects of different harvesting ages and times. From the PLS plots, conclusions were drawn with respect to the correlation between A. paniculata leaf metabolites with the anti-inflammatory results which showed that 180 days after transplanting (DAT) of morning session for accessions T and H, and evening for P gave the highest anti-inflammatory activity.

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Infrared–metabolomics approach in detecting changes in Andrographis paniculata metabolites due to different harvesting ages and times

Abstract: The information extracted from ATR-FTIR data through OPLS-DA could be useful in tailoring this plant harvest stage in relation to the content of its two major diterpene lactones: andrographolide and neoandrographolide.

Cited by 15 publications

References 14 publications

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

SENYAWA INHIBITOR Α-Glukosidase DAN ANTIOKSIDAN DARI KUMIS KUCING DENGAN PENDEKATAN METABOLOMIK BERBASIS FTIR

Harvesting Age and Time Effect of <i>Andrographis paniculata</i> Leaf on Its Anti-Inflammatory Activity

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Infrared–metabolomics approach in detecting changes in Andrographis paniculata metabolites due to different harvesting ages and times

Abstract: The information extracted from ATR-FTIR data through OPLS-DA could be useful in tailoring this plant harvest stage in relation to the content of its two major diterpene lactones: andrographolide and neoandrographolide.

Cited by 15 publications

References 14 publications

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

SENYAWA INHIBITOR Α-Glukosidase DAN ANTIOKSIDAN DARI KUMIS KUCING DENGAN PENDEKATAN METABOLOMIK BERBASIS FTIR

Harvesting Age and Time Effect of &lt;i&gt;Andrographis paniculata&lt;/i&gt; Leaf on Its Anti-Inflammatory Activity

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Harvesting Age and Time Effect of <i>Andrographis paniculata</i> Leaf on Its Anti-Inflammatory Activity