Vaughanbryan3601
Variability of pesticide residues in food item plays a key role for the evaluation of consumer food safety. However, variability factors (VFs) derived from the large size fruit crops are still scarce. Therefore, the present work was aimed to quantify pesticide residues and to estimate VFs in large size fruit crops of mango and guava.
A total of 140 mango and 130 guava samples from different marketplaces in Bangladesh were collected to estimate the variability of pesticide residues (acephate, diazinon, malathion, fenitrothion, chlorpyrifos, quinalphos, dimethoate and cypermethrin) by in-house validated methods based on modified QuEChERS extraction and gas chromatography coupled with electron capture detector (ECD) and flame thermionic detector (FTD). The method was validated at three fortification levels (0.01, 0.10 and 0.30 mg kg
) and satisfactory recoveries (80-111%) with relative standard deviation (RSD
) ≤ 13% were achieved. A wide variation of residues was found in the analyzed samples. In the case of mango, the ranges of residues were 0.011-0.314, 0.015-0.04, and 0.05-0.291 mg kg
, respectively, for cypermethrin, chlorpyrifos, and dimethoate, while in the case of guava, the ranges were 0.04-0.113, and 0.03-0.290 mg kg
, respectively, for cypermethrin and acephate. The average VF for mango was 4.06 and it was 5.70 for guava.
VFs originating from the marketed samples of mango and guava are reported in this study for the first time. The estimated VFs were higher than the default value of 3, therefore, the default VFs should be reconsidered when more data are obtained regarding large size crops. © 2021 Society of Chemical Industry.
VFs originating from the marketed samples of mango and guava are reported in this study for the first time. The estimated VFs were higher than the default value of 3, therefore, the default VFs should be reconsidered when more data are obtained regarding large size crops. © 2021 Society of Chemical Industry.
Axillary hyperpigmentation (AH) is a condition in which axillary skin is darker than the adjacent areas. To date, there is no standard treatment for AH. The Q-switched neodymium-doped yttrium aluminum garnet 1064-nm(QS) laser and intense pulsed light (IPL) are two effective modalities for the treatment of pigmentary disorders; however, the efficacy and safety levels of both treatments for AH have not yet been compared in a controlled study.
To evaluate and compare the efficacy and safety of the QS laser and IPL in the treatment of AH.
A randomized, split-side study was conducted on 22 subjects; all subjects received a total of five split-side treatments every 2weeks. The efficacy was determined using the melanin index (MI), color chart level using the Pantone SkinTone™ Guide, improvement grading scale (IGS), and patient satisfaction scores at weeks 2, 4, 6, 8, and 10.
The results showed that there was no significant difference in MI, color chart level, IGS, and patient satisfaction scores between the two treatments. Both treatments significantly improved AH after three sessions. However, the pain score was lower for IPL treatment. The adverse effects were transient and were found after IPL treatment in one participant (4.45%) who developed hyperpigmentation and another participant (4.45%) who developed erythema.
Intense pulsed light therapy is safe and effective for the treatment of AH, with no significant difference in the outcome compared with QS laser treatment.
Intense pulsed light therapy is safe and effective for the treatment of AH, with no significant difference in the outcome compared with QS laser treatment.Face perception arises from a collective activation of brain regions in the occipital, parietal and temporal cortices. Despite the wide acknowledgment that these regions act in an intertwined network, the network behavior itself is poorly understood. Here we present a study in which time-varying connectivity estimated from EEG activity elicited by facial expressions presentation was characterized using graph-theoretical measures of node centrality and global network topology. Results revealed that face perception results from a dynamic reshaping of the network architecture, characterized by the emergence of hubs located in the occipital and temporal regions of the scalp. The importance of these nodes can be observed from the early stages of visual processing and reaches a climax in the same time-window in which the face-sensitive N170 is observed. Furthermore, using Granger causality, we found that the time-evolving centrality of these nodes is associated with ERP amplitude, providing a direct link between the network state and local neural response. Pomalidomide ic50 Additionally, investigating global network topology by means of small-worldness and modularity, we found that face processing requires a functional network with a strong small-world organization that maximizes integration, at the cost of segregated subdivisions. Interestingly, we found that this architecture is not static, but instead, it is implemented by the network from stimulus onset to ~200 ms. Altogether, this study reveals the event-related changes underlying face processing at the network level, suggesting that a distributed processing mechanism operates through dynamically weighting the contribution of the cortical regions involved.Previous research shows that endogenous attention (the controlled selection of certain aspects of our environment) is enhanced toward emotional stimuli due to its biological relevance. Although looming affective stimuli such as threat seem even more critical for survival, little is known about their effect on endogenous attention. Here, we recorded neural (event-related potentials, ERPs) and behavioral responses (errors and reaction times) to explore the combined effect of emotion and looming motion. 3D-recreated static and moving animals assessed as emotionally positive, negative, and neutral, were presented to participants (n = 71), who performed an indirect categorization task (vertebrate vs. invertebrate). Behavioral results showed better task performance, as reflected by lower number of errors and reaction times, in response to threatening stimuli. Neural indices revealed significant early (P1p, 150 milliseconds), intermediate (P2p, 240), and late (LPP, 450) effects, the latter being more intensely associated with behavior, as revealed by regression analyses.
