Methods comparison for detecting trends in herbicide monitoring time-series in streams.

An inadvertent consequence of pesticide use is aquatic pesticide pollution, which has prompted the implementation of mitigation measures in many countries. Water quality monitoring programs are an important tool to evaluate the efficacy of these mitigation measures. However, large interannual variability of pesticide losses makes it challenging to detect significant improvements in water quality and to attribute these improvements to the application of specific mitigation measures. Thus, there is a gap in the literature that informs researchers and authorities regarding the number of years of aquatic pesticide monitoring or the effect size (e.g., loss reduction) that is required to detect significant trends in water quality. Our research addresses this issue by combining two exceptional empirical data sets with modelling to explore the relationships between the achieved pesticide reduction levels due to mitigation measures and the length of the observation period for establishing statistically significant trends. Our study includes both a large (Rhine at Basel, ∼36,300 km2) and small catchment (Eschibach, 1.2 km2), which represent spatial scales at either end of the spectrum that would be realistic for monitoring programs designed to assess water quality. Our results highlight several requirements in a monitoring program to allow for trend detection. Firstly, sufficient baseline monitoring is required before implementing mitigation measures. Secondly, the availability of pesticide use data helps account for the interannual variability and temporal trends, but such data are usually lacking. Finally, the timing and magnitude of hydrological events relative to pesticide application can obscure the observable effects of mitigation measures (especially in small catchments). Our results indicate that a strong reduction (i.e., 70-90 %) is needed to detect a change within 10 years of monitoring data. The trade-off in applying a more sensitive method for change detection is that it may be more prone to false-positives. Our results suggest that it is important to consider the trade-off between the sensitivity of trend detection and the risk of false positives when selecting an appropriate method and that applying more than one method can provide more confidence in trend detection.

Challenges of spatially extrapolating aquatic pesticide pollution for policy evaluation.

Aquatic pesticide pollution is an important issue worldwide. Countries rely on monitoring programs to observe water bodies quality and on models to evaluate pesticide risks for entire stream networks. Measurements are typically sparse and discontinuous which lead to issues in quantifying pesticide transport at the catchment scale. Therefore, it is essential to assess the performance of extrapolation approaches and provide guidance on how to extend monitoring programs to improve predictions. Here we present a feasibility study to predict pesticide levels in a spatially explicit manner in the Swiss stream network based on the national monitoring program quantifying organic micropollutants at 33 sites and spatially distributed explanatory variables. Firstly, we focused on a limited set of herbicides used on corn crops. We observed a significant relationship between herbicide concentrations and the areal fraction of hydrologically connected cornfields. Neglecting connectivity revealed no influence of areal corn coverage on the herbicide levels. Considering chemical properties of the compounds slightly improved the correlation. Secondly, we analysed a set of 18 pesticides widely used on different crops and monitored across the country. In this case, the areal fractions of arable or crop lands showed significant correlations with average pesticide concentrations. Similar results were found with average annual discharge or precipitation if two outlier sites were neglected. The correlations found in this paper explained only about 30 % of the observed variance leaving most of the variability unexplained. Accordingly, extrapolating the results from the existing monitoring sites to the Swiss river network comes with substantial uncertainty. Our study highlights possible reasons for weak matches, such as missing pesticide application data, limited set of compounds in the monitoring program, or a limited understanding of factors differentiating the loss rates from different catchments. Improving the data on pesticide applications will be essential to progress in this regard.

A review of long-term pesticide monitoring studies to assess surface water quality trends.

Aquatic pesticide pollution from both agricultural and urban pest control is a concern in many parts of the world. Making an accurate assessment of pesticide exposure is the starting point to protecting aquatic ecosystems. This in turn requires the design of an effective monitoring program. Monitoring is also essential to evaluate the efficacy of mitigation measures aimed to curb pesticide pollution. However, empirical evidence for their efficacy can be confounded by additional influencing factors, most prominently variable weather conditions. This review summarizes the experiences gained from long-term (>5 years) pesticide monitoring studies for detecting trends and provides recommendations for their improvement. We reviewed articles published in the scientific literature, with a few complements from selected grey literature, for a total of 20 studies which fulfill our search criteria. Overall, temporal trends of pesticide use and hydrological conditions were the two most common factors influencing aquatic pesticide pollution. Eighteen studies demonstrated observable effects to surface water concentrations from changes in pesticide application rates (e.g., use restriction) and sixteen studies from interannual variability in hydrological conditions during the application period. Accounting for seasonal- and streamflow-related variability in trend analysis is important because the two factors can obscure trends caused by changes in pesticide use or management practices. Other mitigation measures (e.g., buffer strips) were only detectable in four studies where concentrations or loads were reduced by > 45%. Collecting additional agricultural (e.g., pesticide use, mitigation measures) and environmental (e.g., precipitation, stream flow) data, as well as establishing a baseline before the implementation of mitigation measures have been consistently reported as prerequisites to interpret water quality trends from long-term monitoring studies, but have rarely been implemented in the past.

Parametric investigation of static and dynamic cell culture conditions and their impact on hCMEC/D3 barrier properties.

In brain research, the hCMEC/D3 cell line is widely used for the establishment of a human in vitro blood-brain barrier (BBB) model. However, its barrier integrity seems to be insufficient for drug permeability studies, represented by rather low transendothelial electrical resistance (TEER) and high permeability of small molecules. Therefore, this study covers a parametric investigation of static and dynamic cell culture conditions to improve barrier functionality of hCMEC/D3. The effect of basal media was investigated by analyzing changes in proliferation rate, barrier integrity and gene expression of cellular junction proteins. The cells were able to grow in different cell culture media, including serum-free media. However, none of these media enhanced strongly the growth rate or barrier integrity compared to the microvascular endothelial cell growth medium-2 (EGM™-2 MV). Furthermore, hCMEC/D3 cells did not respond positively regarding TEER to any tested parameter neither supplements, coating materials nor co-cultures with the human immortalized astrocyte cell line SVGmm. Furthermore, the impact of dynamic conditions was examined by using the Dynamic Micro Tissue Engineering System (DynaMiTES). Cultivation conditions were successfully adapted to the DynaMiTES design and no negative effect was detected by analyzing cell viability and cell count, albeit TEER remained also unchanged. Consequently, the hCMEC/D3 model has considerable limitations and further improvements or alternative cell lines are required.

An inert 3D emulsification device for individual precipitation and concentration of amorphous drug nanoparticles.

Nanosizing increases the specific surface of drug particles, leading to faster dissolution inside the organism and improving the bioavailability of poorly water-soluble drugs. A novel approach for the preparation of drug nanoparticles in water using chemically inert microfluidic emulsification devices is presented in this paper. A lithographic fabrication sequence was established, allowing fabrication of intersecting and coaxial channels of different depths in glass as is required for 3D flow-focusing. Fenofibrate was used as a model for active pharmaceutical ingredients with very low water solubility in the experiments. It was dissolved in ethyl acetate and emulsified in water, as allowed by the 3D flow-focusing geometry. In the thread formation regime, the drug solution turned into monodisperse droplets of sizes down to below 1 µm. Fast supersaturation occurs individually in each droplet, as the disperse phase solvent progressively diffuses into the surrounding water. Liquid antisolvent precipitation results in highly monodisperse and amorphous nanoparticles of sizes down to 128 nm which can be precisely controlled by the continuous and disperse phase pressure. By comparing optically measured droplet sizes with particle sizes by dynamic light scattering, we could confirm that exactly one particle forms in every droplet. Furthermore, a downstream on-chip concentration allowed withdrawal of major volumes of only the continuous phase fluid which enabled an increase of particle concentration by up to 250 times.

Asymmetric nanofluidic grating detector for differential refractive index measurement and biosensing.

Measuring small changes in refractive index can provide both sensitive and contactless information on molecule concentration or process conditions for a wide range of applications. However, refractive index measurements are easily perturbed by non-specific background signals, such as temperature changes or non-specific binding. Here, we present an optofluidic device for measuring refractive index with direct background subtraction within a single measurement. The device is comprised of two interdigitated arrays of nanofluidic channels designed to form an optical grating. Optical path differences between the two sets of channels can be measured directly via an intensity ratio within the diffraction pattern that forms when the grating is illuminated by a collimated laser beam. Our results show that no calibration or biasing is required if the unit cell of the grating is designed with an appropriate built-in asymmetry. In proof-of-concept experiments we attained a noise level equivalent to ∼10-5 refractive index units (30 Hz sampling rate, 4 min measurement interval). Furthermore, we show that the accumulation of biomolecules on the surface of the nanochannels can be measured in real-time. Because of its simplicity and robustness, we expect that this inherently differential measurement concept will find many applications in ultra-low volume analytical systems, biosensors, and portable devices.

Cellular uptake of coumarin-6 under microfluidic conditions into HCE-T cells from nanoscale formulations.

UNLABELLED: In vitro studies of ocular bioavailability of active pharmaceutical ingredients (API) from colloidal drug delivery systems do not consider physiological shear stress generated by eyelid wiping and tear flow. The present study introduces a live cell imaging approach which enables the investigation of model drug uptake from various formulations under shear stress by using custom-made microchannels for the cultivation of human corneal epithelial cells (HCE-T). Coumarin-6 (C-6) was used as a model API incorporated into solid lipid nanoparticles and liposomes, and as an aqueous crystalline suspension. Confocal laser scanning microscopy visualized C-6 uptake into HCE-T cells in a time-resolved manner with an applied shear stress of 0.1 Pa. Static conditions were also studied for comparative purposes. Additionally, solid lipid nanoparticles (SLN) were labeled with a fluorescent phospholipid to check whether C-6 uptake was associated with SLN incorporation into the cells. RESULTS: Intact SLN were not incorporated into the cells, i.e., C-6 was passively redistributed from SLN to lipophilic cellular compartments. C-6 was enriched up to a given limit in HCE-T cells within 5 min of contact with the dispersions both under static and under flow conditions. The C-6 delivery rate from liposomes was superior to that from SLN whereby the suspension exhibited the lowest rate. C-6 release rates were comparable for static and flow conditions. Alternate flushing with formulations and buffer revealed that cells accumulated C-6. The results suggest that combining microfluidics with live cell imaging provides a valuable option for in vitro studies of ocular drug delivery.

Algorithms for the evaluation of radiation induced chromosome aberration yields per cell from flow karyotypes.

CHO-K1 cells were irradiated in G0/G1-phase with 150 kV X-rays. Single chromosomes isolated from metaphase cells and stained with DNA intercalating dye DAPI were analyzed in the ICP 22 with a modified flow chamber. In order to study dose-dependent changes in the flow karyotypes, they were split into peak- and background-portions by an iterative fit algorithm. As in a first approach, estimates of the frequencies of chromosome lesions were derived from an evaluation of the dose-dependent reduction in peak contents. The number of radiation-induced lesions per chromosome was found to be proportional to its length. As a second approach, the number of fluorescence events in the histogram background was corrected for non-chromosomal debris and evaluated interms of chromosome aberration frequency per cell, which was consistent with the yields of dicentric chromosomes and acentric fragments observed in microscopic investigations. As a third approach, lesion frequencies were calculated from the corrected background light sum in the karyotypes, utilizing a Monte Carlo model to simulate the effect of aberration formation on the flow histogram. The results indicate that the number of chromosome lesions observed by flow cytometry can be quantitatively related to the yield of structural chromosome aberrations detected by microscopic analysis. Dose-effect relations and split-dose kinetics are given as examples demonstrating the usefulness of this technique in radiobiology. Time saving compared to microscopic analysis was of the order of 90%.

Respiratory cryptosporidiosis in broiler chickens.

A flock of 7-week-old broiler chickens in northwestern Arkansas showed signs of respiratory distress. Gross pathologic alterations were excessive exudate in the tracheas and congestion of the nasal turbinates. An adenovirus was isolated from fresh trachea specimens. Microscopically, alterations in tracheal sections were thickened mucosa with inflammatory-cell lamina-proprial infiltrate and epithelial squamous metaplasia. Protozoan parasites present on the epithelial surface were identified by electron microscopy as Cryptosporidium spp. These organisms were attached to the tracheal mucosa epithelium and the luminal surface of mucous glands. The significance of the intercurrent adenovirus infection was not determined.