Surface-enhanced Raman spectroscopy for emerging contaminant analysis in drinking water

● Definition of emerging contaminants in drinking water is introduced. ● SERS and standard methods for emerging contaminant analysis are compared. ● Enhancement factor and accessibility of SERS hot spots are equally important. ● SERS sensors should be tailored according to emerging contaminant properties. ● Challenges to meet drinking water regulatory guidelines are discussed. Emerging contaminants (ECs) in drinking water pose threats to public health due to their environmental prevalence and potential toxicity. The occurrence of ECs in our drinking water supplies depends on their physicochemical properties, discharging rate, and susceptibility to removal by water treatment processes. Uncertain health effects of long-term exposure to ECs justify their regular monitoring in drinking water supplies. In this review article, we will summarize the current status and future opportunities of surface-enhanced Raman spectroscopy (SERS) for EC analysis in drinking water. Working principles of SERS are first introduced and a comparison of SERS and liquid chromatography-tandem mass spectrometry in terms of cost, time, sensitivity, and availability is made. Subsequently, we discuss the strategies for designing effective SERS sensors for EC analysis based on five categories—per- and polyfluoroalkyl substances, novel pesticides, pharmaceuticals, endocrine-disrupting chemicals, and microplastics. In addition to maximizing the intrinsic enhancement factors of SERS substrates, strategies to improve hot spot accessibilities to the targeting ECs are equally important. This is a review article focusing on SERS analysis of ECs in drinking water. The discussions are not only guided by numerous endeavors to advance SERS technology but also by the drinking water regulatory policy.     

Independent factors associated with bicycle helmet use in a Korean population: A cross-sectional study

Objective: Although identification of factors that influence helmet use during bicycle riding is necessary for the selection of groups that require safe cycling education, limited baseline data are available. The aim of the present study was to analyze the rate of helmet use and the demographic factors that were independently associated with helmet use among Korean bicycle riders.

Methods: In this cross-sectional study, we used public data from the Sixth Korean National Health and Nutrition Examination Survey conducted in 2013 and 2014. Helmet users were defined as subjects who always, usually, or frequently wore helmets when cycling. Independent factors associated with helmet use were determined using odds ratios (ORss) adjusted for 5 demographic factors via multivariate logistic regression analysis.

Results: In the total population, 4,103 individuals were bicycle riders; among these, 782 individuals (19.1%) wore helmets. A total of 21.1% of male riders used helmets, compared to 15.5% of female riders (P <.001). The adjusted logistic regression model revealed that female sex (OR = 0.665; 95% confidence interval [CI], 0.554–0.797), teenage status (OR = 0.475, 95% CI, 0.333–0.678), and low household income (OR = 0.657, 95% CI 0.513–0.841) were significantly associated with nonuse of helmets.

Conclusions: Female sex, teenage status, and low household income were independent factors associated with the nonuse of helmets. We identified factors associated with helmet use during bicycle riding through analysis of baseline data on helmet usage.     

The application and development of country-specific parameters for accurate estimations of methane emissions from solid-waste disposal sites

To identify the application and development of country-specific parameters for methane emission estimations from solid-waste disposal sites, National Inventory Reports of 41 Annex I countries and National Communications of ten non-Annex I countries of the United Nations Framework Convention on Climate Change were analyzed. A first-order decay method was applied to 38 out of 41 Annex I countries and to five out of ten non-Annex I countries in national GHG inventory submissions up to 2012. Country-specific parameters were approximately 26 % of the total number of parameters used in the 38 Annex I countries and were mostly developed for degradable organic carbon and reaction constants that cover certain waste compositions. The UNFCCC encourages countries to develop more country-specific parameters reflecting the distinct characteristics of each country in which solid-waste disposal site is a key source. Depending on a country’s condition, a stepwise approach regarding the development of country-specific parameters needs to be done so as to improve the accuracy of methane emission estimates in the solid-waste disposal site category.     

Thermoeconomic installation limit of PV/WT hybrid energy systems for Off-grid islands

An ideal off-grid island can become 100% energy-sufficient if one installs renewable energy systems such as solar photovoltaic (PV) and wind turbine (WT) systems. However, the intermittent and uncertain nature of the power supply from renewable energy systems hinders a 100% autonomy level (AL) without an infinite energy storage capacity. The thermoeconomic installation limit (TEIL) of a PV/WT hybrid energy system was studied using hourly weather data and the energy demand profile for off-grid islands. An appropriate battery size for the TEIL was also determined. Given the current installation cost of the hybrid energy system and the battery unit, the AL for a PV/WT hybrid energy system at the TEIL is calculated to be approximately 70%. Above the limit, the size of the energy storage unit and, correspondingly, the total annual cost of the PV/WT hybrid energy system increase sharply.     

Refining spatial resolution and spillovers of a micro-econometric analysis of adapting portfolios to climate change using the global positioning system

This paper refines the spatial resolution and spillover effects of a micro-econometric analysis of adaptation of agricultural portfolios to climate change using the Global Positioning System (GPS). From the household surveys collected across South America by the World Bank, the GPS recordings of exact farm locations such as latitude, longitude, and altitude are matched with high resolution grid cell climate data from the Climate Research Unit as well as geographically referenced soils and geography data from the Food and Agriculture Organization. The choice of agricultural systems at the farm level is estimated using spatial Logit model and the conditional land value is estimated for each system of agriculture after correcting for selection bias and spatial spillovers. Future choices and land values are simulated using the fine resolution climate scenarios by the UKMO (United Kingdom Meteorological Office) and GISS (Goddard Institute for Space Studies). This paper finds that, under the UKMO HadGEM1 (Hadley Center Global Environmental Model 1) scenario by around 2060, the choices of the specialized systems are expected to fall, but the mixed system would increase. The land value of the crops-only falls by 29 %, but the mixed system land value falls only by 12 %. Under a milder GISS ER (ModelE-R) scenario, the land value of the mixed system increases by 6 %. With full adaptations of agricultural systems, the expected land value falls by 17 %. Without adaptations, the damage increases. This paper demonstrates that adaptation behaviors can be best studied by a fine resolution micro-econometric analysis of agricultural portfolios using the GPS reference.     

Performance evaluation of six different aerosol samplers in a particulate matter generation chamber

The present study was carried out with the aim of evaluating the performance of six different aerosol samplers in terms of mass concentration, particle size distribution, and mass fraction for the international size-sampling conventions. The international size-sampling criteria were defined as inhalable, thoracic, and respirable mass fractions with 50% cutoff at an aerodynamic equivalent diameter of 100 μm, 10 μm, and 4 μm, respectively. Two Andersen, four total suspended particulate (TSP), two RespiCon, four PM₁₀, two DustTrak, and two SidePak samplers were selected and tested to quantitatively estimate human exposure in a carefully controlled particulate matter (PM) test chamber. The overall results indicate that (1) Andersen samplers underestimate total suspended PM and overestimate thoracic and respirable PM due to particle bounce and carryover between stages, (2) TSP samplers provide total suspended PM as reference samplers, (3) TSP samplers quantified by a coulter counter multisizer provide no information below an equivalent spherical diameter of 2 μm and therefore underestimate respirable PM, (4) RespiCon samplers are free from particle bounce as inhalable samplers but underestimate total suspended PM, (5) PM₁₀ samplers overestimate thoracic PM, and (6) DustTrak and SidePak samplers provide relative PM concentrations instead of absolute PM concentrations.     

Characteristics of odorous carbonyl compounds in the ambient air around a fishery industrial complex of Yeosu, Korea

In this study,the amounts of odorous carbonyl compounds(OCCs) including acetaldehyde(Acet-A),propionaldehyde(Pron-A),butylaldehyde(Buty-A),iso-valeric aldehyde(Iso-Vale-A) and n-valeric aldehyde(N-Vale-A) emitted from a fishery industrial complex near the exhibition facilities of "Expo 2012 Yeosu Korea" were measured.Acet-A was found to be the most abundant OCC,and the total concentrations of the OCCs were the highest in the summer.However,due to vehicular exhaust and photochemical reactions,the concentrations of some of the OCCs presented their highest levels in the fall.A significant correlation between Acet-A and Buty-A was found at the major fishery facilities(r = 0.816,p = 1.87E-15,n = 60) and at the border areas(r = 0.809,p = 3.40E-12,n = 48) of this fishery industrial complex.The concentrations of OCCs at the border areas were not worse than those at the urban areas in other places,indicating that the concentrations of ambient OCCs at the border areas were not greatly influenced by manmade activities.     

Effect of alkali catalyst on biodiesel production in South Korea from mixtures of fresh soybean oil and waste cooking oil

Biodiesel from waste cooking oil (WCO) and soybean oil (SO) mixture was produced by changing the alkali catalyst (NaOH) content and the WCO to SO ratio in the feedstock. All the prepared biodiesel samples satisfied the standard requirement in terms of free glycerol, density, and acid value. The minimum catalyst content and the highest WCO composition to get biodiesel from the WCO/SO mixture feedstock without ruining the biodiesel properties were 1.0 and 60 wt %, respectively. This conclusion implies that the waste cooking oil mixture, which contains 40 wt % fresh soybean oil, could be treated like the fresh soybean oil to produce biodiesel, and that this behavior would be helpful to reduce the biodiesel production cost when waste cooking oil used as feedstock. The unsaturated methyl esters such as linoleic, and oleic acid were dominant (almost 80 % w/w) in the fresh soybean oil. However the saturated methyl ester was increased due to the double bond breaking during the frying process. These results may deteriorate the biodiesel quality by changing the methyl ester composition.