Characteristics and management of municipal solid waste in Uyo, Akwa Ibom state, Nigeria.

Increased urbanization and population lead to increased consumption of manufactured goods. This ultimately results in increased production of waste. Identifying its composition is crucial for planning an effective solid waste management strategy. This study assesses the characteristics and composition of the waste generated within the Uyo Capital City Development Area of Akwa Ibom State, Nigeria. This is to aid in developing a scientifically supported waste management pilot system for the state. Direct waste sorting and characterization were conducted on the municipal solid waste arriving at the landfill during the study period. Over 50% of the generated wastes are recyclables and composed of plastics, metals, and paper, while the fraction of organic waste is over 30%. Similarly, the waste generation per capita is 1.34 kg/person/day, while the generation forecast over the next ten years is estimated to increase by approximately 40%. Furthermore, over 9,000 surveys were completed by residents to establish a problem statement about the existing waste collection and disposal system, and possible solutions. Importantly, a majority of survey respondents were willing to source-separate their wastes and supported paying a fee for adequate waste collection. This strongly indicates that an integrated waste management system could be established to generate value from the collected waste. Supplementary revenue can be generated through composting, recycling, and land reclamation.

Precise measurement of protein interacting fractions with fluorescence lifetime imaging microscopy.

Precise quantification of endogenous protein-protein interactions across live cells would be a major boon to biology. Such precise measurement is theoretically possible with fluorescence lifetime imaging microscopy (FLIM) but requires first properly addressing multiple biological, instrumental, statistical, and photophysical challenges. We present a detailed investigation of the last three FLIM-specific challenges. Using an efficient, highly accurate analysis code for time-domain FLIM data that accounts for all significant instrumental artifacts (in part, through use of a parametrized model for the instrument response function) and is rigorously based on both conventional statistics (full lifetime histogram fitting by χ(2) minimization) and novel statistics (single pixel fitting of lifetime populations using "maximum fidelity"), we address multiple photophysical challenges, including the proper side-by-side statistical comparison of fluorophore monoexponentiality, the precise assessment of fluorophore lifetimes and lifetime photostability, and the determination of acceptor dark state fractions. Finally, we demonstrate the feasibility of precise measurement of the interacting fraction of a protein across live cells with FLIM.