Organic contaminants in bio-based fertilizer treated soil: Target and suspect screening approaches

Using bio-based fertilizer (BBF) in agricultural soil can reduce the dependency on chemical fertilizer and increase sustainability by recycling nutrient-rich side-streams. However, organic contaminants in BBFs may lead to residues in the treated soil. This study assessed the presence of organic contaminants in BBF treated soils, which is essential for evaluating sustainability/risks of BBF use. Soil samples from two field studies amended with 15 BBFs from various sources (agricultural, poultry, veterinary, and sludge) were analyzed. A combination of QuEChERS-based extraction, liquid chromatography quadrupole time of flight mass spectrometry-based (LC-QTOF-MS) quantitative analysis, and an advanced, automated data interpretation workflow was optimized to extract and analyze organic contaminants in BBF-treated agricultural soil. The comprehensive screening of organic contaminants was performed using target analysis and suspect screening. Of the 35 target contaminants, only three contaminants were detected in the BBF-treated soil with concentrations ranging from 0.4 ng g-1 to 28.7 ng g-1; out of these three detected contaminants, two were also present in the control soil sample. Suspect screening using patRoon (an R-based open-source software platform) workflows and the NORMAN Priority List resulted in tentative identification of 20 compounds (at level 2 and level 3 confidence level), primarily pharmaceuticals and industrial chemicals, with only one overlapping compound in two experimental sites. The contamination profiles of the soil treated with BBFs sourced from veterinary and sludge were similar, with common pharmaceutical features identified. The suspect screening results suggest that the contaminants found in BBF-treated soil might come from alternative sources other than BBFs.

Safe and sustainable by design: A computer-based approach to redesign chemicals for reduced environmental hazards

Persistency of chemicals in the environment is seen a pressing issue as it results in accumulation of chemicals over time. Persistent chemicals can be an asset in a well-functioning circular economy where products are more durable and can be reused or recycled. This objective can however not always be fulfilled as release of chemicals from products into the environment can be inherently coupled to their use. In these situations, chemicals should be designed for degradation. In this study, a systematic and computer-aided workflow was developed to facilitate the chemical redesign for reduced persistency. The approach includes elements of Essential Use, Alternatives Assessment and Green and Circular Chemistry and ties into goals recently formulated in the context of the EU Green Deal. The organophosphate chemical triisobutylphosphate (TiBP) was used as a case study for exploration of the approach, as its emission to the environment was expected to be inevitable when used as a flame retardant. Over 6.3 million alternative structures were created in silico and filtered based on QSAR outputs to remove potentially non-readily biodegradable structures. With a multi-criteria analysis based on predicted properties and synthesizability a top 500 of most desirable structures was identified. The target structure (di-n-butyl (2-hydroxyethyl) phosphate) was manually selected and synthesized. The approach can be expanded and further verified to reach its full potential in the mitigation of chemical pollution and to help enable a safe circular economy.

Phosphorus recovery and recycling – closing the loop

The natural phosphorus cycle has been disrupted by human activity, which necessitates the development of new methods for the sustainable production of phosphorus compounds, and efficient recovery and recycling schemes.

Are Skeletal Muscle Mass and Density Associated with Fatigue In Early-Stage Colorectal Cancer Patients?

Both low skeletal muscle mass and low radiographic muscle density are associated with higher complication rates after surgery for colorectal cancer and with worse survival rates although data are not fully consistent. Whether skeletal muscle mass and density are also associated with patient-reported outcomes, such as fatigue, is less well studied. We hypothesized that low skeletal muscle mass and density may be associated with fatigue in early stage colorectal cancer (CRC) patients. Methods: Within a prospective cohort of 594 early-stage (stage I-III) CRC patients, we collected information on fatigue using the EORTC QLQ-C30 questionnaire 6 months after diagnosis; fatigue was defined as a score of >39 based on literature. Skeletal muscle mass and -density were assessed using pre-operative Computed Tomography (CT) images. Low muscle mass and -density were identified using previously determined cut- off values. Cox regression models were used to calculate prevalence ratios (PRs). All PRs were adjusted for age, sex, stage of disease. Results: The average age of the study population was 65.7 ± 9.0; 37% were women and 67% of the patients had a tumor located in the colon. Low muscle mass was present in 26% of the patients and low muscle density in 25%; 26% of patients had fatigue. Low muscle mass was not associated with prevalence of fatigue (PR for low versus normal muscle mass 0.83 (95%CI 0.56–1.24). Low muscle density was associated with higher prevalence of fatigue: PR for low versus normal muscle density 1.94 (95% CI 1.34–2.81). Conclusion: Among colorectal cancer patients, low skeletal muscle density at diagnosis - indicative for fat infiltration in the muscle- was associated with a higher prevalence of fatigue six months after diagnosis. Future studies should assess how lifestyle interventions can help to prevent or decrease fatigue, and should further clarify whether there is a causal link between fat infiltration in the muscle and fatigue.

The association between body mass index and postoperative complications, 30-day mortality and long-term survival in Dutch patients with colorectal cancer

INTRODUCTION

This retrospective study aims to examine the association between body mass index (BMI) and serious postoperative complications, 30-day mortality and overall survival in colorectal cancer (CRC) patients.

MATERIALS AND METHODS

All CRC patients diagnosed between 2008 and 2013 in the south-eastern part of the Netherlands were included. Patients were categorized into four BMI groups: underweight (<18.5), normal weight (18.5 ≥ BMI<25), overweight (25 ≥ BMI<30), and obese (≥30).

RESULTS

A total of 7371 CRC patients were included (underweight 133 (1.8%); normal weight 2054 (41.4%); overweight 2955 (40.1%); obesity 1229 (16.7%)). Underweight patients were more likely to have postoperative complications (18.8% vs. 11.7%, adjusted OR 1.95, 95% CI 1.08-3.49) and had a worse 30-day mortality (9.8% vs. 3.3%, adjusted OR 4.37, 95% CI 2.03-9.42) compared to normal weight patients. After stratification for stage (stage I-III and stage IV), underweight was associated with a worse overall survival in both groups compared to normal weight (stage I-III: HR 2.06, 95%CI 1.51-2.80; stage IV: HR 1.65, 95% CI 1.11-2.45). Overweight was associated with an improved overall survival compared to normal weight in both stage groups. Only in stage IV patients obesity was associated with a significant better overall survival compared to stage IV normal weight patients.

CONCLUSION

Underweight CRC patients were more likely to have postoperative complications and a worse 30-day mortality compared to patients in other BMI categories. The underweight population also has a worse long-term survival while overweight CRC patients and obese stage IV CRC patients were associated with an improved survival compared to normal weight patients.

Impact of fatigue on overall quality of life in lung and breast cancer patients selected for high-dose radiotherapy

BACKGROUND

Although studies show that cancer patients consider fatigue as an important problem, few, if any, studies have quantified the impact of fatigue on overall quality of life (QoL) in cancer patients. In the present study, we evaluated the relative impact of different QoL domains/subscales, including fatigue, on overall QoL in cancer patients preceding radiotherapy.

PATIENTS AND METHODS

Sixty-four patients with lung or breast cancer selected for high-dose radiotherapy on the primary tumour completed the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire. Multivariate models were fitted to define the impact of QLQ-C30 subscales, including fatigue, on overall QoL.

RESULTS

Of all QLQ-C30 subscales, fatigue showed by far the strongest univariate correlation with overall QoL (r = -0.76, P < 0.001); correlations for functioning subscales (r = 0.44-0.55) and symptom subscales (r = -0.31 to -0.45) were considerably lower. In multivariate analyses, adjusting for potential confounders, fatigue was the only subscale that independently contributed to overall QoL (standardized regression coefficient-0.57, P < 0.001).

CONCLUSION

Our results indicate that, of all QoL domains/subscales, fatigue is by far the predominant contributor to patient-perceived overall QoL in both lung and breast cancer patients preceding high-dose radiotherapy.

Case study of the clinical usefulness of bioelectrical impedance spectroscopy in evaluating nutritional status

Bioelectrical impedance spectroscopy (BIS) can be a valuable tool in assessing changes in body composition. Although the validity of BIS in healthy subjects is relatively good, in patients considerably larger measurement errors have been reported. In this article the clinical usefulness of BIS in assessing nutritional status of one case study will be discussed. Interpretation of the predictions of BIS in this unstable patient was difficult. This is in agreement with the consensus that BIS does not give accurate prediction of body composition in individual patients. It is recommended that validation studies of BIS should focus on clinical aspects which can influence BIS measurements.