58 research outputs found

    Unveiling morphine: A rapid and selective fluorescence sensor for forensic and medical analysis

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    Opioid use, particularly morphine, is linked to CNS-related disorders, comorbidities, and premature death. Morphine, a widely abused opioid, poses a significant global health threat and serves as a key metabolite in various opioids. Here, we present a turn-off fluorescent sensor capable of detecting morphine with exceptional sensitivity and speed in various samples. The fluorescent sensor was developed through the dimerization process of 7-methoxy-1-tetralone and subsequent demethylation to produce the final product. Despite morphine possessing inherent fluorophoric properties and emitting light in an approximately similar wavelength as the sensor’s fluorescent blue light, the introduction of the target molecule (morphine) in the presence of the sensor caused a reduction in the sensor’s fluorescence intensity, which is attributable to the formation of the sensor–morphine complex. By utilizing this fluorescence quenching sensor, the chemo-selective detection of morphine becomes highly feasible, encompassing a linear range from 0.008 to 40 ppm with an impressive limit of detection of 8 ppb. Consequently, this molecular probe demonstrates a successful application in determining trace amounts of morphine within urine, yielding satisfactory analytical results. The study also explores the effect of several variables on the sensor’s response and optimizes the detection of morphine in urine using a response surface methodology with a central composite design

    A review on nanomaterial-based SERS substrates for sustainable agriculture

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    The agricultural sector plays a pivotal role in driving the economy of many developing countries. Any dent in this economical structure may have a severe impact on a country's population. With rising climate change and increasing pollution, the agricultural sector is experiencing significant damage. Over time this cumulative damage will affect the integrity of food crops and create food security issues around the world. Therefore, an early warning system is needed to detect possible stress on food crops. Here we present a review of the recent developments in nanomaterial-based Surface Enhanced Raman Spectroscopy (SERS) substrates which could be utilized to monitor agricultural crop responses to natural and anthropogenic stress. Initially, our review delves into diverse and cost-effective strategies for fabricating SERS substrates, emphasizing their intelligent utilization across various agricultural scenarios. In the second phase of our review, we spotlight the specific application of SERS in addressing critical food security issues. By detecting nutrients, hormones, and effector molecules in plants, SERS provides valuable insights into plant health. Furthermore, our exploration extends to the detection of contaminants, chemicals, and foodborne pathogens within plants, showcasing the versatility of SERS in ensuring food safety. The cumulative knowledge derived from these discussions illustrates the transformative potential of SERS in bolstering the agricultural economy. By enhancing precision in nutrient management, monitoring plant health, and enabling rapid detection of harmful substances, SERS emerges as a pivotal tool in promoting sustainable and secure agricultural practices. Its integration into agricultural processes not only augments productivity but also establishes a robust defence against potential threats to crop yield and food quality. As SERS continues to evolve, its role in shaping the future of agriculture becomes increasingly pronounced, promising a paradigm shift in how we approach and address challenges in food production and safety

    Gabapentin for chronic pelvic pain in women (GaPP2):a multicentre, randomised, double-blind, placebo-controlled trial

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    BackgroundChronic pelvic pain affects 2–24% of women worldwide and evidence for medical treatments is scarce. Gabapentin is effective in treating some chronic pain conditions. We aimed to measure the efficacy and safety of gabapentin in women with chronic pelvic pain and no obvious pelvic pathology.MethodsWe performed a multicentre, randomised, double-blind, placebo-controlled randomised trial in 39 UK hospital centres. Eligible participants were women with chronic pelvic pain (with or without dysmenorrhoea or dyspareunia) of at least 3 months duration. Inclusion criteria were 18–50 years of age, use or willingness to use contraception to avoid pregnancy, and no obvious pelvic pathology at laparoscopy, which must have taken place at least 2 weeks before consent but less than 36 months previously. Participants were randomly assigned in a 1:1 ratio to receive gabapentin (titrated to a maximum dose of 2700 mg daily) or matching placebo for 16 weeks. The online randomisation system minimised allocations by presence or absence of dysmenorrhoea, psychological distress, current use of hormonal contraceptives, and hospital centre. The appearance, route, and administration of the assigned intervention were identical in both groups. Patients, clinicians, and research staff were unaware of the trial group assignments throughout the trial. Participants were unmasked once they had provided all outcome data at week 16–17, or sooner if a serious adverse event requiring knowledge of the study drug occurred. The dual primary outcome measures were worst and average pain scores assessed separately on a numerical rating scale in weeks 13–16 after randomisation, in the intention-to-treat population. Self-reported adverse events were assessed according to intention-to-treat principles. This trial is registered with the ISRCTN registry, ISCRTN77451762.FindingsParticipants were screened between Nov 30, 2015, and March 6, 2019, and 306 were randomly assigned (153 to gabapentin and 153 to placebo). There were no significant between-group differences in both worst and average numerical rating scale (NRS) pain scores at 13–16 weeks after randomisation. The mean worst NRS pain score was 7·1 (standard deviation [SD] 2·6) in the gabapentin group and 7·4 (SD 2·2) in the placebo group. Mean change from baseline was −1·4 (SD 2·3) in the gabapentin group and −1·2 (SD 2·1) in the placebo group (adjusted mean difference −0·20 [97·5% CI −0·81 to 0·42]; p=0·47). The mean average NRS pain score was 4·3 (SD 2·3) in the gabapentin group and 4·5 (SD 2·2) in the placebo group. Mean change from baseline was −1·1 (SD 2·0) in the gabapentin group and −0·9 (SD 1·8) in the placebo group (adjusted mean difference −0·18 [97·5% CI −0·71 to 0·35]; p=0·45). More women had a serious adverse event in the gabapentin group than in the placebo group (10 [7%] of 153 in the gabapentin group compared with 3 [2%] of 153 in the placebo group; p=0·04). Dizziness, drowsiness, and visual disturbances were more common in the gabapentin group.InterpretationThis study was adequately powered, but treatment with gabapentin did not result in significantly lower pain scores in women with chronic pelvic pain, and was associated with higher rates of side-effects than placebo. Given the increasing reports of abuse and evidence of potential harms associated with gabapentin use, it is important that clinicians consider alternative treatment options to off-label gabapentin for the management of chronic pelvic pain and no obvious pelvic pathology.FundingNational Institute for Health Research

    Pollution assessment of arsenic in groundwater: geochemistry and analytical aspects

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    Apart from the geological controls that can cause As mobilization in groundwater in the Bengal Delta Plain, local anthropogenic factors may also contribute to some extent. Investigations showed that As(III) get enriched in the groundwater after the monsoonal season. This could be due to the enhanced reducing conditions in the aquifer post-monsoonal recharge. The larger inorganic colloids were responsible to scavenge As(III) and the smaller organic/organo-metallic colloids were found to scavenge As(V). A study was carried out to improve the Solar Oxidation and Removal of Arsenic (SORAS) for rural population, using tomatoes instead of lemons, showing that tomato was more efficient and cost-effective than lemon or lime. A novel technique combining hollow fiber liquid phase microextraction (HF-LPME) with Total Reflection X-Ray Fluorescence (TXRF) for the determination and speciation of As in groundwater was developed. The results in the laboratory samples were found encouraging and applied to natural samples successfullyAdemás de los controles geológicos, los factores antropogénicos contribuyen también a la movilización de arsénico en el agua subterránea del Bengal Delta Plain. La concentración de As(III) aumenta después de la temporada del monzón, debido a las condiciones más reductoras en el acuífero. El As(III) se encuentra asociado a coloides inorgánicos de mayor tamaño mientras que los coloides orgánicos/organometálicos más pequeños contienen As(V). Se llevó a cabo un estudio para mejorar el proceso SORAS (Solar Oxidation and Removal of Arsenic) comparando diferentes fuentes de citrato, y demostrando que el tomate es más eficiente y económico que el limón o la lima. Se ha desarrollado un método novedoso para la determinación y especiación de As basado en microextracción en fase líquida en fibra hueca (HF-LPME) combinados con fluorescencia de rayos X con reflexión total (TXRF), y que ha sido aplicado con éxito en diferentes muestras de aguas naturale

    End-Game Algorithm for Guided Weapon System Against Aerial Evader

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    An efficient and generalized method of end-game algorithm has been proposed to engage air-borne evaders, including high-speed, highly maneuvering, and small evaders, such as unmanned aerial vehicles (UAVs). Performance of interceptors using time delay estimation and guidance integrated real-time prediction algorithm has been simulated to estimate the errors in engaging maneuvering evader targets. After extensive modeling of engagement geometry and simulation studies of the proposed algorithm, it is concluded that the algorithm can be used for defeating ballistic as well as maneuvering targets with higher accuracy compared to other methods that are reported in the literature. The accuracy of estimation is found to improve by 12% over the reported methods used for engaging maneuvering evaders. The algorithm is implemented in hardware and results are presented for a typical case of engagement geometry against a small maneuvering target, which ensured maximum damage to the target. © 1965-2011 IEEE
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