Citation
Yusoff, Siti Fairuz
(2022)
Nanoemulsion formulation of Vernonia amygdalina delile against Botrytis cinerea causing gray mold disease in tomato and their effects on postharvest quality.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Gray mold disease caused by Botrytis cinerea is one of the significant
postharvest losses mostly observed during tomato storage and transportation.
Synthetic fungicide is currently used to control this disease, but it poses adverse
effects to human health, environment, and development of resistance to
synthetic fungicides. V. amygdalina extract showed antifungal activity which
could be a sustainable tool as biofungicide for plant disease management. The
present study aimed to screen phytochemical compounds in V. amygdalina leaf
extract, develop nanoemulsion formulations containing V. amygdalina crude
extract, evaluate antifungal activities of nanoemulsions against B. cinerea and
preserve postharvest quality. Ten fungal isolates were obtained from
symptomatic tomato fruits sampled from Cameron Highlands, Pahang, Malaysia.
Fungal colonies on PDA appeared cottony and white to gray color. Conidia were
ovoid in shape, hyaline, and measured 10.03-16.08 × 7.37-11.15 μm. To confirm
molecular identification, the primer pair ITS4/ITS5 of rDNA was used for
amplification and sequencing of isolates. The sequences with GenBank
accession MT012053-MT012062 were the closest match to Botrytis cinerea with
query coverage was 98-99%. Based on pathogenicity assay, the isolates
indicated highly pathogenic with the maximum disease severity was 90% (Isolate
MT012058). In vitro test showed leaf extracts of aqueous, hexane,
dichloromethane (DCM) and methanol at 100-500 mg/mL were significantly
inhibited mycelial growth of B. cinerea. DCM was the most effective, which
inhibited up to 75.74% of the mycelial growth of B. cinerea. The top major
chemical compounds identified in DCM extract using GC-MS analysis were
squalene, phytol, triacontane, heptacosane, and neophytadiene. For in vivo
bioassay, the fruits treated with dichloromethane extract at 400 and 500 mg/mL
showed the lowest disease incidence with mild severity of infection. The SEM
observation proved that the treatment altered the fungal morphology, which
leads to fungal growth inhibition. The nanoemulsion system containing oil, water
and surfactant was obtained using spontaneous emulsification technique by
employing four surfactants. From eight selected formulations, two formulations,
F5 and F7 showed stability in storage, remarkable thermodynamic stability,
small-sized droplet (66.44 and 139.63 nm), highly stable in zeta potential (−32.70
and −31.70 mV), low in polydispersity index (0.41 and 0.40 PdI), low in viscosity
(4.20 and 4.37 cP) and low in surface tension (27.62 and 26.41 mN/m) compared
to other formulations. In vivo efficacy on tomato fruits showed F5 formulation had
a fungicidal activity against B. cinerea with zero disease incidence and severity,
whereas F7 formulation reduced 62.5% disease incidence compared to a
positive control with scale 1. F5 and F7 nanoemulsions exhibited higher enzyme
activities of PAL, POD, and SOD compared to benomyl and control fruits.
Meanwhile, F5 nanoemulsion triggered significantly higher PPO and CAT
activities compared to F7 nanoemulsion. F5 nanoemulsion showed delays in fruit
maturity, minimal weight loss, slower changes in firmness, TA, SSC and pH,
retained the vitamin C content, fair in phenolic content and execute high
antioxidant activities. In conclusion, F5 nanoemulsion has a fungicidal effect on
B. cinerea, induces higher defense-enzymes activities, and gives optimum
postharvest quality in tomato. Thus, F5 nanoemulsion containing V. amygdalina
leaf extract could be useful for inhibiting gray mold disease on tomato fruit and
has the potential as a natural antifungal agent.
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Additional Metadata
Item Type: |
Thesis
(Doctoral)
|
Subject: |
Tomatoes - Diseases and pests |
Subject: |
Phytopathogenic microorganisms - Biological control |
Subject: |
Fungicides |
Call Number: |
FP 2022 43 |
Chairman Supervisor: |
Siti Izera Ismail, PhD |
Divisions: |
Faculty of Agriculture |
Depositing User: |
Ms. Rohana Alias
|
Date Deposited: |
10 Aug 2023 03:51 |
Last Modified: |
10 Aug 2023 03:51 |
URI: |
http://psasir.upm.edu.my/id/eprint/104395 |
Statistic Details: |
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