2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’
| Format: | General Document |
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| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2023-01-11 |
| format | General Document |
| id | 15615 |
| institution | UniSZA |
| internalnotes | Sila masukkan subject wajib Dissertations, Academic untuk semua tesis.. Terima kasih |
| originalfilename | METABOLITE FINGERPRINTING AND BIOLOGICAL ACTIVITIES IN DIFFERENT MATURITY STAGES OF LEAVES AND FRUITS OF Syzygium samarangense CV. ‘GIANT GREEN’ (MASTER_2022).pdf |
| person | Nuruljannah Suhaida Binti Idris |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15615 |
| sourcemedia | Server storage Scanned document |
| spelling | 15615 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15615 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Bio-resources & Food Industry English application/pdf 1.5 Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access UNIVERSITI SULTAN ZAINAL ABIDIN SAMBox 2.4.24; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) 202 Copyright©PWB2025 2023-01-11 METABOLITE FINGERPRINTING AND BIOLOGICAL ACTIVITIES IN DIFFERENT MATURITY STAGES OF LEAVES AND FRUITS OF Syzygium samarangense CV. ‘GIANT GREEN’ (MASTER_2022).pdf Nuruljannah Suhaida Binti Idris 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ Syzygium samarangense cv. ‘Giant green’ is a rich source of phytochemicals and antioxidants which have many benefits to our body. The information about the changes of bioactive compounds and quality of the leaves and fruits during maturation is crucial to obtain its maximum potential in human health. The present study was carried out to evaluate the effectiveness of various biological activities, analyze the chemical compositions, and discriminate the chemical fingerprint of different mature leaves and fruits of ‘Giant green’ cultivar, and determine their correlation between biological activities by using multivariate data analysis (MVDA). The leaves (young, mature, and old) and fruits (unripe, half-ripen, and ripen) were selected for analysis. Total phenolic content (TPC) and total flavonoid content (TFC) were determined by spectrophotometric method, antioxidant capacity by 1,1-diphenyl-2-picrylhydrazyl (DPPH), nitric oxide (NO), 2,2,-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and reducing power (RP) assays, and the alpha-glucosidase activity by using α glucosidase enzyme. Two Gram-negative bacteria, (Escherichia coli and Salmonella typhimurium) and two Gram-positive bacteria (Staphylococcus aureus and Enterococcus faecalis) were used by using the well diffusion method for antibacterial assay. Fourier Transform Infrared Spectroscopy (FTIR) and Gas Chromatography-Mass Spectrometry (GCMS) coupled with chemometric tools were used to discriminate between the different stages of leaves and fruits. The results showed that the young leaves ((66.56; 17.25 mg/mL) and unripe fruits (54.11; 2.34 mg/mL) have the highest TPC and TFC, respectively. The young leaves and unripe fruit also showed positive effect in antioxidant activity: DPPH (IC50:13.66; 13.79 µg/mL), NO (IC50:51.57; 87.80 µg/mL), ABTS (IC50:6.31; 46.77 µg/mL), RP and alpha-glucosidase inhibitory activity (IC50:0.80; 1.98 µg/mL). A similar trend was observed in antibacterial activities whereas the young leaves and unripe fruit exhibited the maximum inhibition zone in all of the Gram-positive and Gram-negative bacteria. The Principal Component Analysis (PCA), Hierarchical Clustering Analysis (HCA) and Partial Least Square Discrimination Analysis (PLS-DA) of FTIR and GC-MS data showed the separation cluster between the maturity stages of leaves and fruits. The young leaves and unripe fruit show strong correlation between metabolite quantities and biological activities using Partial Least Square (PLS) analysis. In conclusion, the young leaves and unripe fruits of ‘Giant green’ cultivar have the highest TPC and TFC, as well as, possess the significant effect in antioxidant, alpha-glucosidase, and antibacterial activities. Multivariate models were successfully developed using FTIR and GC-MS coupled with chemometric as a rapid method to discriminate different maturity stages of ‘Giant green’ cultivar of wax apple leaves and fruits. The findings of this study revealed that the selection of different stages of leaves and fruits is important to understand its potential role, especially in pharmaceutical or food products. Metabolite fingerprinting Dissertations, Academic Sila masukkan subject wajib Dissertations, Academic untuk semua tesis.. Terima kasih Antioxidant Activity Phytochemical Profiling Maturity Stages Bioactive Compounds Thesis |
| spellingShingle | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| state | Terengganu |
| subject | Metabolite fingerprinting Dissertations, Academic |
| summary | Syzygium samarangense cv. ‘Giant green’ is a rich source of phytochemicals and antioxidants which have many benefits to our body. The information about the changes of bioactive compounds and quality of the leaves and fruits during maturation is crucial to obtain its maximum potential in human health. The present study was carried out to evaluate the effectiveness of various biological activities, analyze the chemical compositions, and discriminate the chemical fingerprint of different mature leaves and fruits of ‘Giant green’ cultivar, and determine their correlation between biological activities by using multivariate data analysis (MVDA). The leaves (young, mature, and old) and fruits (unripe, half-ripen, and ripen) were selected for analysis. Total phenolic content (TPC) and total flavonoid content (TFC) were determined by spectrophotometric method, antioxidant capacity by 1,1-diphenyl-2-picrylhydrazyl (DPPH), nitric oxide (NO), 2,2,-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and reducing power (RP) assays, and the alpha-glucosidase activity by using α glucosidase enzyme. Two Gram-negative bacteria, (Escherichia coli and Salmonella typhimurium) and two Gram-positive bacteria (Staphylococcus aureus and Enterococcus faecalis) were used by using the well diffusion method for antibacterial assay. Fourier Transform Infrared Spectroscopy (FTIR) and Gas Chromatography-Mass Spectrometry (GCMS) coupled with chemometric tools were used to discriminate between the different stages of leaves and fruits. The results showed that the young leaves ((66.56; 17.25 mg/mL) and unripe fruits (54.11; 2.34 mg/mL) have the highest TPC and TFC, respectively. The young leaves and unripe fruit also showed positive effect in antioxidant activity: DPPH (IC50:13.66; 13.79 µg/mL), NO (IC50:51.57; 87.80 µg/mL), ABTS (IC50:6.31; 46.77 µg/mL), RP and alpha-glucosidase inhibitory activity (IC50:0.80; 1.98 µg/mL). A similar trend was observed in antibacterial activities whereas the young leaves and unripe fruit exhibited the maximum inhibition zone in all of the Gram-positive and Gram-negative bacteria. The Principal Component Analysis (PCA), Hierarchical Clustering Analysis (HCA) and Partial Least Square Discrimination Analysis (PLS-DA) of FTIR and GC-MS data showed the separation cluster between the maturity stages of leaves and fruits. The young leaves and unripe fruit show strong correlation between metabolite quantities and biological activities using Partial Least Square (PLS) analysis. In conclusion, the young leaves and unripe fruits of ‘Giant green’ cultivar have the highest TPC and TFC, as well as, possess the significant effect in antioxidant, alpha-glucosidase, and antibacterial activities. Multivariate models were successfully developed using FTIR and GC-MS coupled with chemometric as a rapid method to discriminate different maturity stages of ‘Giant green’ cultivar of wax apple leaves and fruits. The findings of this study revealed that the selection of different stages of leaves and fruits is important to understand its potential role, especially in pharmaceutical or food products. |
| title | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| title_full | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| title_fullStr | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| title_full_unstemmed | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| title_short | 2022_Metabolite Fingerprinting and Biological Activities in Different Maturity Stages Of Leaves and Fruits of Syzygium samarangense CV. ‘GIANT GREEN’ |
| title_sort | 2022_metabolite fingerprinting and biological activities in different maturity stages of leaves and fruits of syzygium samarangense cv. ‘giant green’ |