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Detection and imaging of the plant pathogen response by near-infrared fluorescent polyphenol sensors
(Wiley, 2021-10-06)
Plants use secondary metabolites such as polyphenols for chemical defense against pathogens and herbivores. Despite their importance in plant pathogen interactions and tolerance to diseases, it remains challenging to detect polyphenols in complex plant tissues. Here, we create molecular sensors for plant polyphenol imaging that are based on near‐infrared (NIR) fluorescent single‐wall carbon nanotubes (SWCNTs). We identified polyethylene glycol–phospholipids that render (6,5)‐SWCNTs sensitive (Kd=90 nM) to plant polyphenols (tannins, flavonoids, …), which red‐shift (up to 20 nm) and quench their emission (ca. 1000 nm). These sensors report changes in total polyphenol level after herbivore or pathogen challenge in crop plant systems (Soybean Glycine max) and leaf tissue extracts (Tococa spp.). We furthermore demonstrate remote chemical imaging of pathogen‐induced polyphenol release from roots of soybean seedlings over the time course of 24 h. This approach allows in situ visualization and understanding of the chemical plant defense in real time and paves the way for plant phenotyping for optimized polyphenol secretion.
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Development of a Citrus Drink Using Mixture Design: Sensory Evaluation, Total Polyphenols and Vitamin C
(Multidisciplinary Digital Publishing Institute (MDPI), 2025)
The development of beverages with functional potential and maximum sensory acceptability are priorities for the food industry. This study investigated the effect of orange juice (OJ), lemon juice (LJ) and ginger juice (GJ) concentrations on overall acceptability (OA), total phenic compounds (TPC) and vitamin C (VC). The experimental design used was simplex-centroid mixtures, and maximization was achieved using response Surface methodology (RSM). The bioactive content of TPC and VC was measured using the Folin–Ciocalteu method and the dichlorophenol indophenol method, respectively; sensory evaluation was conducted with 100 panelists on a continuous scale acceptability primer (0-10 points). The RSM results indicated that the optimum formulation was obtained with: OJ = 79.8 mL, LJ = 5.7 mL and GJ = 4.37 mL, yielding maximum values of OA = 6.81 points, TPC = 14.64 mg GAE/100 g and VC = 32.3 mg/mL. The optimized beverage presented a free radical scavenging capacity of 65.72% (DPPH method). The regression models were validated and significantly (p < 0.05) predicted sensory acceptability, total phenolic compounds and vitamin C content. The development of this beverage and its potential application in the food industry is attractive due to its high sensory acceptability and bioactive content.
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