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आयतन 12, मुद्दा 9 (2022)

छोटी समीक्षा

Novel Applications of Micro Extraction Techniques Focused on Biological and Forensic Analyses

Faisal Mohamed

In recent years, the main focus has been on microextraction methods that enable high recoveries of target analytes regardless of sample matrix complexity. The most commonly used techniques include liquid-liquid extraction (LLE), solid-phase extraction (SPE), solid-phase microextraction (SPME), dispersion-liquid microextraction (DLLME) and packed sorbent microextraction (MEPS) and bulk phase sorption extraction (FPSE). These techniques represent the rapid development of sample preparation techniques in various fields such as: B. Biology, Environment, Food Science, Natural Products, Forensics, Toxicology. In the fields of biology and forensics, where different drugs with different chemical properties are analyzed, sample preparation is required to make the samples suitable for instrumental analysis. Mass detector or tandem mass detector (MS/ MS). This review focused on the biological and forensic applications of these innovative techniques and highlighted the main benefits and results achieved in laboratory and clinical practice.

समीक्षा

Properties of Humic Substances in Fertilizers Contained Different Natural Source Materials

Hillel Daniel

Reusing natural waste as manure is one strategy to lessen the utilization of mineral composts and limit garbage removal in landfills. Guidelines have been sanctioned for the handling of natural waste and for reusing final results, yet the humic substance of natural manures has been dismissed. We concentrated on seven manures with various natural info materials and advancements. Humic substances (HSs) were identified in all fertilizers. The all out natural carbon in the HSs comprised 8.7 ± 0.1% (SD)- 27.0 ± 0.2% of the fertilizer dry matter. Ghastly contrasts between the concentrated on examples in FTIR spectroscopy could be seen at 1700-1000 cm−1, showing contrasts in fertilizer antecedent material. The EEM top, related with humic acids (HAs), was high in fertilizers containing creature results (e.g., fish squander, horse excrement and kitchen biowaste). Kitchen biowaste, likewise when handled by Hermetia illucens hatchlings and vermicompost, displayed more slow natural material change with low humic corrosive/fulvic corrosive proportions (<1.60). The outcomes show the significance of source material beginning and alterations, which impact the treating the soil interaction and end results. Our review accentuates the job of humic substances in the complete assessment of manures. To boost the additional worth of fertilizers, advertising procedures ought to consider deciding the portion of humic substances other than the substance of natural matter and supplements.

शोध आलेख

Trend Test and Change-Point Detection for Concentrations of I-131 in Drinking Water and Dairy Milk in the U.S. Midwest

Alec Sithole*, Jones Mutua and Gwen Lack

Radioactive iodine (I-131) is one of the radionuclide byproducts of uranium and plutonium fission or neutron capture by Tellarium-130. I-131 decays to Xenon and releases β-particles and γ-radiation. Due to its release of IR during nuclear decay, I-131 is a potent radioactive hazard to public health. In this study, I-131 data from the EPA database, measured from drinking water and pasteurized dairy milk in the U.S. Midwest, were analyzed using non-parametric trend test and change-point detection techniques. We perform the Gaussian Kernel (G-K) smoothing to separate long-trends from the random noise in the data. The Mann-Kendall (M-K) rank correlation and Theil-Sen’s (T-S) tests indicated the existence of positive trends on the data. Furthermore, the Pettitt's Homogeneity (P-H) tests revealed statistically significant increases (α=0.05, p?0.0001) in I-131 radiation levels between the periods 1978-1983 and 1984-1990 in pasteurized dairy milk. With regards to drinking water, we noted significant increases between 1978-1995 and 1995-2017. We recommend further studies to determine the possible factors contributing to the periodicities in the data.

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