Phenolic compounds are considered the main bioactive components in okra fruits. In order to well understand the accumulation pattern of phenolic compounds in okra fruits during maturation, and to obtain okra fruits with high level of health-beneficial phenolic compounds, physicochemical properties, phenolic profiles, antioxidant capacities, and inhibitory effects on digestive enzymes of okra fruits at different maturation stages were investigated. Noticeable variations in physicochemical properties and phenolic profiles of okra were observed at different maturation stages. Phenolic compounds, including quercetin-3-O-gentiobioside, quercetin-3-O-glucoside (isoquercitrin), rutin, quercetin derivative, protocatechuic acid, and catechin derivative, were determined to be the major compounds in okra fruits, while quercetin-3-O-gentiobioside was the most abundant phenolic compound. Considering the accumulation patterns of fruit size, firmness, and total flavonoid content of okra fruits, the optimal harvest time of okra fruits with relatively high level of health-beneficial phenolic compounds was determined. Furthermore, okra fruits at different maturation stages exerted remarkable antioxidant capacities and inhibitory effects on the pancreatic lipase, aglucosidase, and a-amylase. The Pearson's correlation showed that quercetin-3-O-gentiobioside was one of the major contributors to the antioxidant capacities and inhibitory effects on digestive enzymes. Results are beneficial for understanding of the accumulation pattern of phenolic compounds in okra fruits during maturation, and can aid in the targeting of specific maturation stages with an optimal phenolic profile for the production of health-beneficial products.
A universal multi-parameter sensing scheme based on a self-interference micro-ring resonator (SIMRR) is proposed. Benefit from the special intensity sensing mechanism, the SIMRR allows multimode sensing in a wide range of wavelengths but immune from frequency noise. To process the multiple mode spectra that are dependent on multiple parameters, we adopt the machine learning algorithm instead of massive asymptotic solutions of resonators. Employing the proposed multi-mode sensing approach, a two-parameter SIMRR sensor is designed. Assuming that two gases have different wavelength dependence of refractive indices, the feasibility and effectiveness of the two-parameter sensing strategy are verified numerically. Moreover, the dependence of parameter estimation accuracy on the laser intensity noises is also investigated. The numerical results indicate that our scheme of multi-parameter sensing in a multimode SIMRR holds great potential for practical high-sensitive sensing platforms compared with the single-mode sensing based on whispering gallery mode (WGM) resonators.
We propose a nonvolatile terahertz (THz) switch which is able to perform the switching with transient stimulus. The device utilizes graphene as its floating-gate layer, which changes the transmissivity of THz signal by trapping the tunneling charges. The conventional top-down electrode configuration is replaced by a left-right electrode configuration, so THz signals could transmit through this device with the transmissivity being controlled by voltage pulses. The two electrodes are made of metals with different work functions. The resultant asymmetrical energy band structure ensures that both electrical programming and erasing are viable. With the aid of localized surface plasmon resonances in graphene ribbon arrays, the modulation depth is 89% provided that the Femi level of graphene is tuned between 0 and 0.2 eV by proper voltage pulses.
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