Assessing Chronic Stress, Coping Skills, and Mood Disorders through Speech Analysis: A Self-Assessment 'Voice App' for Laptops, Tablets, and Smartphones.

BACKGROUND: Computerized speech analysis (CSA) is a powerful method that allows one to assess stress-induced mood disturbances and affective disorders through repeated measurements of speaking behavior and voice sound characteristics. Over the past decades CSA has been successfully used in the clinical context to monitor the transition from 'affectively disturbed' to 'normal' among psychiatric patients under treatment. This project, by contrast, aimed to extend the CSA method in such a way that the transition from 'normal' to 'affected' can be detected among subjects of the general population through 10-20 self-assessments. METHODS: Central to the project was a normative speech study of 5 major languages (English, French, German, Italian, and Spanish). Each language comprised 120 subjects stratified according to gender, age, and education with repeated assessments at 14-day intervals (total n = 697). In a first step, we developed a multivariate model to assess affective state and stress-induced bodily reactions through speaking behavior and voice sound characteristics. Secondly, we determined language-, gender-, and age-specific thresholds that draw a line between 'natural fluctuations' and 'significant changes'. Thirdly, we implemented the model along with the underlying methods and normative data in a self-assessment 'voice app' for laptops, tablets, and smartphones. Finally, a longitudinal self-assessment study of 36 subjects was carried out over 14 days to test the performance of the CSA method in home environments. RESULTS: The data showed that speaking behavior and voice sound characteristics can be quantified in a reproducible and language-independent way. Gender and age explained 15-35% of the observed variance, whereas the educational level had a relatively small effect in the range of 1-3%. The self-assessment 'voice app' was realized in modular form so that additional languages can simply be 'plugged in' once the respective normative data become available. Results of the longitudinal self-assessment study in home environments demonstrated that CSA methods work well under most circumstances. CONCLUSIONS: We have successfully developed and tested a self-assessment CSA method that can monitor transitions from 'normal' to 'affected' in subjects of the general population in the broader context of mood disorders. Our easy-to-use 'voice app' evaluates sequences of 10-20 repeated assessments and watches for affect- and stress-induced deviations from baseline that exceed language-, gender-, and age-specific thresholds. Specifically, the 'voice app' provides users with stress-related 'biofeedback' and can help to identify that 10-15% subgroup of the general population that exhibits insufficient coping skills under chronic stress and may benefit from early detection and intervention prior to developing clinically relevant symptoms.

Quantifying insufficient coping behavior under chronic stress: a cross-cultural study of 1,303 students from Italy, Spain and Argentina.

The question of how to quantify insufficient coping behavior under chronic stress is of major clinical relevance. In fact, chronic stress increasingly dominates modern work conditions and can affect nearly every system of the human body, as suggested by physical, cognitive, affective and behavioral symptoms. Since freshmen students experience constantly high levels of stress due to tight schedules and frequent examinations, we carried out a 3-center study of 1,303 students from Italy, Spain and Argentina in order to develop socioculturally independent means for quantifying coping behavior. The data analysis relied on 2 self-report questionnaires: the Coping Strategies Inventory (COPE) for the assessment of coping behavior and the Zurich Health Questionnaire which assesses consumption behavior and general health dimensions. A neural network approach was used to determine the structural properties inherent in the COPE instrument. Our analyses revealed 2 highly stable, socioculturally independent scales that reflected basic coping behavior in terms of the personality traits activity-passivity and defeatism-resilience. This replicated previous results based on Swiss and US-American data. The percentage of students exhibiting insufficient coping behavior was very similar across the study sites (11.5-18.0%). Given their stability and validity, the newly developed scales enable the quantification of basic coping behavior in a cost-efficient and reliable way, thus clearing the way for the early detection of subjects with insufficient coping skills under chronic stress who may be at risk of physical or mental health problems.

Affective state and voice: cross-cultural assessment of speaking behavior and voice sound characteristics--a normative multicenter study of 577 + 36 healthy subjects.

BACKGROUND: Human speech is greatly influenced by the speakers' affective state, such as sadness, happiness, grief, guilt, fear, anger, aggression, faintheartedness, shame, sexual arousal, love, amongst others. Attentive listeners discover a lot about the affective state of their dialog partners with no great effort, and without having to talk about it explicitly during a conversation or on the phone. On the other hand, speech dysfunctions, such as slow, delayed or monotonous speech, are prominent features of affective disorders. METHODS: This project was comprised of four studies with healthy volunteers from Bristol (English: n = 117), Lausanne (French: n = 128), Zurich (German: n = 208), and Valencia (Spanish: n = 124). All samples were stratified according to gender, age, and education. The specific study design with different types of spoken text along with repeated assessments at 14-day intervals allowed us to estimate the 'natural' variation of speech parameters over time, and to analyze the sensitivity of speech parameters with respect to form and content of spoken text. Additionally, our project included a longitudinal self-assessment study with university students from Zurich (n = 18) and unemployed adults from Valencia (n = 18) in order to test the feasibility of the speech analysis method in home environments. RESULTS: The normative data showed that speaking behavior and voice sound characteristics can be quantified in a reproducible and language-independent way. The high resolution of the method was verified by a computerized assignment of speech parameter patterns to languages at a success rate of 90%, while the correct assignment to texts was 70%. In the longitudinal self-assessment study we calculated individual 'baselines' for each test person along with deviations thereof. The significance of such deviations was assessed through the normative reference data. CONCLUSIONS: Our data provided gender-, age-, and language-specific thresholds that allow one to reliably distinguish between 'natural fluctuations' and 'significant changes'. The longitudinal self-assessment study with repeated assessments at 1-day intervals over 14 days demonstrated the feasibility and efficiency of the speech analysis method in home environments, thus clearing the way to a broader range of applications in psychiatry.

Dietary-Derived Exosome-like Nanoparticles as Bacterial Modulators: Beyond MicroRNAs.

There is increasing evidence that food is an important factor that influences the composition of the gut microbiota. Usually, all the attention has been focused on nutrients such as lipids, proteins, vitamins, or polyphenols. However, a pivotal role in these processes has been linked to dietary-derived exosome-like nanoparticles (DELNs). While food macro- and micronutrient composition are largely well established, there is considerable interest in these DELNs and their cargoes. In this sense, traditionally, all the attention was focused on the proteins or miRNAs contained in these vesicles. However, it has been shown that DELNs would also carry other bioactive molecules with a key role in regulating biochemical pathways and/or interactions with the host's gut microbiome affecting intracellular communication. Due to the scarce literature, it is necessary to compile the current knowledge about the antimicrobial capacity of DELNs and its possible molecular mechanisms that will serve as a starting point. For this reason, in this review, we highlight the impact of DENLs on different bacteria species modulating the host gut microbiota or antibacterial properties. It could be concluded that DELNs, isolated from both plant and animal foods, exert gut microbiota modulation. However, the presence of miRNA in the vesicle cargoes is not the only one responsible for this effect. Lipids present in the DELNs membrane or small molecules packed in may also be responsible for apoptosis signaling, inhibition, or growth promoters.

'Nutritional Footprint' in the Food, Meals and HoReCa Sectors: A Review.

Nowadays, the food industry is integrating environmental, social, and health parameters to increase its sustainable impact. To do this, they are using new tools to calculate the potential efficiency of nutritional products with lower levels of environmental impact. One of these tools is called the 'nutritional footprint', created by Wuppertal Institute for Climate, Environment and Energy GmbH. This study aims to review this concept and clarify its historical development, its use in several sectors of the food industry, and its transformation from a manual to an online tool. Results reflected that it is a suitable indicator that integrates nutritional, environmental, and social-economic dimensions to help the decision-making process in the procurement of more sustainable products and, although it is limited to Germany due to the use of the national standard nutritional intakes of Germany, its importance lies in the fact that is a promising instrument to promote environmental sustainability in the context of food, meals, and the hotel, restaurant and catering (HoReCa) sectors.

Isolation of Extracellular Vesicles from Phloem Sap by Size Exclusion Chromatography.

Extracellular vesicles (EVs) are nanoparticles that are released by cells and participate in the transfer of information. It is now known that EVs from mammalian cells are involved in different physiological and pathophysiological processes (antigen presentation, tissue regeneration, cancer, inflammation, diabetes, etc.). In the past few years, several studies on plants have demonstrated that EVs are also key tools for plant intercellular and cross-kingdom communications, suggesting that these nanostructures may contribute to distinct aspects of plant physiology such as development, defense, reproduction, symbiotic relationships, etc. These findings are challenging the traditional view of signaling in plants. EVs are probably involved in the phloem's transport system, since this vascular tissue plays a crucial role in translocating nutrients, defensive compounds, and informational signals throughout the plant. The collection of phloem is experimentally challenging because sap is under high turgor pressure inside the sieve elements, which have a small diameter and are hidden within the plant organs. The goals of this work are to develop new protocols that allow us to detect EVs for the first time in the phloem of the plants, and to isolate these nanovesicles for in-depth analysis and characterization. Our protocols describe two distinct methods to collect the phloem sap from rice and melon. The first method (Basic Protocol 1) involves 'Aphid stylectomy by radiofrequency microcautery' using rice plants and the aphid Sitobion avenae. This is considered the least invasive method for collecting phloem sap. The second method, 'Stem incision', involves cutting the stem of melon plants for collecting the exuded sap. Phloem sap EVs are then isolated by size exclusion chromatography. The results obtained in this study represent the first report on typical EVs isolated from in vivo-collected phloem sap. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Isolation of EVs from phloem sap: Aphid stylectomy by radiofrequency microcautery Basic Protocol 2: Isolation of EVs from phloem sap: Stem incision method.

Extracellular vesicles from the trematodes Fasciola hepatica and Dicrocoelium dendriticum trigger different responses in human THP-1 macrophages.

Extracellular vesicles (EVs) released by the helminths Dicrocoelium dendriticum and Fasciola hepatica are important modulators of the host immune response, contributing to the establishment of the infection. Monocytes and, in particular, macrophages are major regulators of the inflammatory response and are likely responsible for the phagocytosis of most of the parasite EVs. In this study, we isolated EVs from F. hepatica (FhEVs) and D. dendriticum (DdEVs) by size exclusion chromatography (SEC) and characterized them by nanoparticle tracking analysis, transmission electron microscopy and LC-MS/MS, and analyzed the cohort of proteins. The treatment of monocytes/macrophages with FhEVs, DdEVs or EV-depleted fractions from SEC, demonstrated species-specific effects of the EVs. In particular, FhEVs reduce the migratory capacity of monocytes and the analysis of the cytokine profile showed that they induce a mixed M1/M2 response, exerting anti-inflammatory properties in Lipopolysaccharide-activated macrophages. In contrast, DdEVs do not affect monocyte migration and seem to have pro-inflammatory properties. These results correlate with the differences in the life cycle of both parasites, suggesting different host immune responses. Only F. hepatica migrates to the bile duct through the liver parenchyma, driving the host immune response to heal deep erosions. Furthermore, the proteomic analysis of the macrophages upon FhEV treatment identified several proteins that might be involved in FhEV-macrophage interactions.

Smiling is fun: a Coping with Stress and Emotion Regulation Program.

Emotional disorders (Anxiety disorders and Mood disorders) are one of the most common health problems worldwide, and their economic costs are very high. People suffering from emotional disorders often use maladaptive emotion regulation strategies and have low coping behaviour that contributes to the presence of clinical symptoms. For this reason, it is important to develop strategies to monitor coping and promote emotion regulation in people exposed to high levels of stress. Information and Communication Technologies (ICT) can help us in this task. Recent systematic reviews of literature on evidence-based CBT treatments delivered via the Internet show that these approaches are effective. We have developed an intervention program ICT based: Coping with Stress and Emotion Regulation Program (Smiling is Fun), a self-applied program via the Internet. Smiling is Fun follows a transdiagnostic perspective, and it is based on CBT techniques. However, it also includes other psychological strategies to improve positive mood. The aim of the present work is to describe Smiling is Fun and the study designed to test its efficacy.

Characterization and bioactivity of extracellular vesicles isolated from pomegranate.

In the current study, extracellular vesicles from pomegranate juice (PgEVs) were isolated for the first time using size exclusion chromatography (SEC). This method permitted us to obtain highly enriched EV samples without most of the non-EV co-isolated proteins. The characterization of PgEVs through nanoparticle tracking analysis (NTA) and transmission electron microscopy (TEM) allowed the determination of vesicles' concentration/volume, size, and morphology. It was confirmed from the analytical data that PgEVs contain a homogeneous population of vesicles, with a dimension and structure comparable to plant-derived EVs. Proteomic analyses by LC-MS/MS led to the characterization of 131 proteins, and several of them were related commonly to the biogenesis and transport of EVs, and/or proposed as EV markers. PgEVs exerted anti-inflammatory, antioxidant and wound-healing effects when added to the in vitro cultures of monocytic (THP-1) and intestinal (Caco-2) cell lines, respectively.

Analysis of staphylococcal enterotoxin A in milk by matrix-assisted laser desorption/ionization-time of flight mass spectrometry.

Staphylococcal enterotoxin A (SEA) is an exotoxin excreted mainly by Staphylococcus aureus and nowadays is the most prevalent compound in staphylococcal food poisoning worldwide. SEA is highly heat-resistant, and usual cooking times and temperatures are unlikely to completely inactivate it. A procedure for extraction of this toxin based on protein precipitation with a mixture of dichloromethane and acidified water was used before SDS-PAGE separation of soluble proteins. Finally, bands of interest were excised from the gel and in-gel enzymatic digestion was done. SEA from pasteurized milk was detected with matrix-assisted laser-desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. Nineteen peptides (range 800-2400 Da) were identified as products of trypsin cleavage of the SEA standard with a score of 204 and 73% coverage of the protein sequence, whereas thirteen peptides were revealed for SEA extracted from milk with a score of 148 and 58% sequence coverage obtained. This procedure has been applied successfully for identification of SEA in milk.

"Five Keys to Safer Food" and COVID-19.

On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization (WHO) and, up to 18:37 a.m. on 9 December 2021, it has produced 268,440,530 cases and 5,299,511 deaths. This disease, in some patients, included pneumonia and shortness of breath, being transmitted through droplets and aerosols. To date, there is no scientific literature to justify transmission directly from foods. In this review, we applied the precautionary principle for the home and the food industry using the known "Five Keys to Safer Food" manual developed by the World Health Organization (WHO) and extended punctually in its core information from five keys, in the light of new COVID-19 evidence, to guarantee a possible food safety tool.

An Internet-based treatment for Flying Phobia using 360° images: Study protocol for a feasibility pilot study.

BACKGROUND: Flying Phobia (FP) is a prevalent disorder that can cause serious interference in a person's life. ICBT interventions have already shown their efficacy in several studies, but studies in the field of specific phobias are still scarce. Moreover, few studies have investigated the feasibility of using different types of images in exposure scenarios in ICBTs and no studies have been carried out on the role of sense of presence and reality judgement. The aim of the present study is to explore the feasibility of an ICBT for FP (NO-FEAR Airlines) using two types of images with different levels of immersion (still and navigable images). A secondary aim is to explore the potential effectiveness of the two experimental conditions using two types of images compared to a waiting list control group. Finally, the role of navigable images compared to the still images in the level of anxiety, sense of presence, and reality judgement will also be explored. This paper presents the study protocol. METHODS: This study is a three-armed feasibility pilot study with the following conditions: NO-FEAR Airlines with navigable images, NO-FEAR Airlines with still images, and a waiting list group. A minimum of 60 participants will be recruited. The intervention will have a maximum duration of 6 weeks. Measurements will be taken at four different moments: baseline, post-intervention, and two follow-ups (3- and 12-month). Participants' opinions, preference, satisfaction and acceptance regarding the images used in the exposure scenarios will be assessed. FP symptomatology outcomes will also be considered for secondary analyses. The anxiety, sense of presence, and reality judgement in the exposure scenarios will also be analysed. DISCUSSION: This study will conduct a pilot study on the feasibility of an ICBT for FP and it is the first one to explore the evaluation of patients of the two type of images (still and navigable) and the role of presence and reality judgement in exposure scenarios delivered through the Internet. Research in this field can have an impact on the way these scenarios are designed and developed, as well as helping to explore whether they have any effect on adherence. TRIAL REGISTRATION: NCT03900559. Trial Registration date 3 April 2019, retrospectively registered.

COVID Obesity: A One-Year Narrative Review.

On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization (WHO). This study focuses on a narrative review about the illness during the first year of the pandemic in relation to obesity. Databases were used to search studies published up to 8 December 2020. In total, 4430 articles and other scientific literature were found, and 24 articles were included in this one-year narrative review. The mean BMI value of severe COVID-19 patients ranged from 24.5 to 33.4 kg/m2, versus <18.5 to 24.3 kg/m2 for non-severe patients. Articles using the terms obesity or overweight without indicating the BMI value in these patients were common, but this is not useful, as the anthropometric parameters, when not defined by this index, are confusing due to the classification being different in the West compared to among Asian and Korean criteria-based adults. We proposed a new term, called COVID obesity, to define the importance of this anthropometric parameter, among others, in relation with this pandemic.

Evolutionary Trends in the Mitochondrial Genome of Archaeplastida: How Does the GC Bias Affect the Transition from Water to Land?

Among the most intriguing mysteries in the evolutionary biology of photosynthetic organisms are the genesis and consequences of the dramatic increase in the mitochondrial and nuclear genome sizes, together with the concomitant evolution of the three genetic compartments, particularly during the transition from water to land. To clarify the evolutionary trends in the mitochondrial genome of Archaeplastida, we analyzed the sequences from 37 complete genomes. Therefore, we utilized mitochondrial, plastidial and nuclear ribosomal DNA molecular markers on 100 species of Streptophyta for each subunit. Hierarchical models of sequence evolution were fitted to test the heterogeneity in the base composition. The best resulting phylogenies were used for reconstructing the ancestral Guanine-Cytosine (GC) content and equilibrium GC frequency (GC*) using non-homogeneous and non-stationary models fitted with a maximum likelihood approach. The mitochondrial genome length was strongly related to repetitive sequences across Archaeplastida evolution; however, the length seemed not to be linked to the other studied variables, as different lineages showed diverse evolutionary patterns. In contrast, Streptophyta exhibited a powerful positive relationship between the GC content, non-coding DNA, and repetitive sequences, while the evolution of Chlorophyta reflected a strong positive linear relationship between the genome length and the number of genes.

Microbial contamination of milk and dairy products from restaurants in Spain.

This study was carried out to evaluate the microbiological quality of milk and some dairy products, including 95 lots of warm milk, 95 lots of milk conserved at room temperature, and 75 lots of dairy products collected from restaurants in Spain. According to the European microbiological criteria (92/46/EEC, 93/43/EEC, and Commission Regulation No. 2073/2005), 31% and 35% of the total examined lots exceed the adopted limits of mesophilic aerobic counts and Enterobacteriaceae, respectively. This may be due to incorrect handling of milk and dairy products and inadequate cleaning and sanitization of milk container. Further, 2% of all the lots examined were positive for the presence of Escherichia coli. All lots, however, were negative for Staphylococcus aureus, Listeria monocytogenes, and Salmonella spp. These results emphasize the need for applying and maintaining good hygienic practices in the restaurants.

Exploring the Relationship Between the Acceptability of an Internet-Based Intervention for Depression in Primary Care and Clinical Outcomes: Secondary Analysis of a Randomized Controlled Trial.

Background: Depression is one of the most prevalent psychological disorders worldwide. Although psychotherapy for depression is effective, there are barriers to its implementation in primary care in Spain. The use of the Internet has been shown to be a feasible solution. However, the acceptability of Internet-based interventions has not been studied sufficiently. Objective: To assess the acceptability of an Internet-based intervention (IBI) for depression in primary care, and explore the relationship between expectations and satisfaction and the improvement in the clinical variables in primary care patients receiving this intervention. Furthermore, it offers data about the effects of some sociodemographic characteristics on these acceptability variables and analyzes whether the expectations are related to finalizing the intervention. Methods: Data were based on depressive patients who were participants in a randomized controlled trial. In the present study, we present the data from all the participants in the Internet intervention groups (N = 198). All the participants filled out the expectation and satisfaction scales (six-item scales regarding treatment logic, satisfaction, recommending, usefulness for other disorders, usefulness for the patient, and unpleasantness), the Beck Depression Inventory-II, and the secondary outcome measures: depression and anxiety impairment, and positive and negative affect. Results: Results showed that participants' expectations and satisfaction with the program were both high and differences in expectations and satisfaction depended on some sociodemographic variables (age: older people have higher expectations; sex: women have greater satisfaction). A positive relationship between these variables and intervention efficacy was found: expectations related to "usefulness for the patient" were a statistically related predictor to the results on the BDI-II (Beta = 0.364), and the perception of how logical the treatment is (Beta = 0.528) was associated with change in the clinical variable. Furthermore, the higher the expectations, the higher the improvements exhibited by the patients in all measures evaluated during the ten intervention modules. High expectations were also directly related to finalizing the intervention. Conclusions: This is the first study in Spain to address this issue in the field of IBIs for depression in primary care. The IBI showed high acceptance related to the intervention's efficacy and completion. Research on IBI acceptability could help to implement the treatment offered. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT01611818.

Capabilities of different liquid chromatography tandem mass spectrometry systems in determining pesticide residues in food. Application to estimate their daily intake.

Three different liquid chromatography-mass spectrometry (LC-MS) instruments equipped with triple quadrupole (QqQ), quadrupole ion trap (QIT) and quadrupole-time-of-flight (QqTOF), suitable to carry out tandem mass spectrometry, were examined to determine pesticide residues in food. Twelve pesticides (acrinathrin, bupirimate, buprofezin, cyproconazole, lambda-cyhalothrin, fluvalinate, hexaflumuron, kresoxim-methyl, propanil, pyrifenox, pyriproxyfen and tebufenpyrad) and six matrices (oranges, strawberries, cherries, peaches, apricots and pears) were taken as model. The comparison was focused on two aspects: the quantitative, covering sensitivity, precision and accuracy as well as the qualitative, checking the possibility to identify any metabolite present in the samples, which were not targeted in the methods. The extraction was carried out using pressurized liquid extraction (PLE) with ethyl acetate and acid alumina. Recoveries were over 70 % for all the analytes. Repeatabilities were better for the QqQ (5-12%) than for QIT (6-15%) and for QqTOF (14-19%). QqQ offered a linear dynamic range of at least three orders of magnitude, whereas those of QIT and QqTOF were two and one orders of magnitude, respectively. QqQ reached at least 20-fold higher sensitivity than QIT and QqTOF. However, the QqQ failed to identify non-target compounds. QIT and QqTOF were able to successfully identify the metabolite of bupirimate, ethirimol. Application to monitor the content in fruits, taken from agricultural cooperatives, and to calculate the estimated daily intake (EDI) to establish if there is any difference of toxicological interest is also reported.

Identification of unknown pesticides in fruits using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Imazalil as a case study of quantification.

Ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QqTOF-MS) is an emerging technique offering more rapid and efficient separation, as well as the possibility to obtain accurate mass measurement and tandem mass spectrometry (MS/MS). This paper deals with the use of UPLC-QqTOF-MS to identify the pesticide residues present in complex pear extracts. Carbendazim, imazalil, and ethoxyquin were successfully identified because of the accurate mass determination of their protonated molecule and their major fragments in the product ion mass spectra. A few plastic and latex additives were also found, most of them probably coming from the packaging transfer to the fruits. The potential of the UPLC-QqTOF-MS and UPLC-QqTOF-MS/MS techniques as a quantification tool is also discussed taking imazalil as example. For quantification, calibration curves were linear over a dynamic range of 2 orders of magnitude, whereas higher calibration ranges are better adjusted to polynomial curves of second and third order. Quantification using different mass windows was also assessed. Accurate quantification required mass windows as wide as 20 mDa, narrower mass windows of 5 mDa provided erroneous quantification, probably because the low ion abundance. The mean recoveries and percentage relative standard deviation (RSD) of 35 determinations for imazalil were 76% (13% RSD) by MS and 77% (14% RSD) by MS/MS. The theoretical limit of detection was 0.4 microg kg(-1), with a validated limit of quantification of 2 microg kg(-1). The quantitative data obtained using UPLC-QqTOF-MS were compared with those obtained using conventional liquid chromatography (LC)-MS/MS with a triple quadrupole (QqQ). It was concluded that UPLC-QqTOF-MS might become a powerful analytical tool for both, unknown's identification and quantification of target pesticides.

Determination of carbosulfan and its metabolites in oranges by liquid chromatography ion-trap triple-stage mass spectrometry.

Liquid chromatography ion-trap mass spectrometry LC-MSn has been successfully applied to identify and confirm carbosulfan and seven of its metabolites in oranges after pressurized liquid extraction (PLE) with dichloromethane. Mass spectra of carbosulfan and its metabolites were investigated using multiple stages of mass spectrometry. Although interpretation of the fragmentation pathways, based on mass spectra, enables structural elucidation and identification of these compounds, the proposed fragmentation pathways and ion structures need verification by exact mass measurements. The analytical method--PLE and LC-MS3 --was validated: limits of quantification (LOQ) ranged from 0.01 to 0.07 mg kg(-1); at this level, recoveries were 55-90% with RSDs (five replicate analyses) from 8 to 19%. The degradation of carbosulfan was determined in a laboratory study carried out in mature oranges (Valencia Late) and tangerines (Clementine of Nules) already harvested. Main degradation products of carbosulfan were carbofuran, 3-hydroxycarbofuran, 3-ketocarbofuran and dibutylamine.

An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

PURPOSE: Computerized cognitive behavioral therapy (CCBT) has been shown to be efficacious. Moreover, CCBT can be enhanced by using physiological and activity sensors, but there is no evidence about the acceptability of all these tools. The objective of this study is to examine the efficacy, expectations, satisfaction, and ease of use of an Internet-based CCBT program for preventing depression, with and without sensors (electroencephalography, electrocardiograhpy ECG, and actigraphy), in a high-risk population (unemployed men). PATIENTS AND METHODS: Sixty participants at risk of depression (unemployed men) were randomly assigned to three experimental conditions: 1) intervention program (N=22), 2) intervention program plus sensors (N=19), and 3) control group (N=19). Participants completed depression, anxiety, positive and negative affect, and perceived stress measures. Furthermore, they also completed the measures for expectation, satisfaction, and the ease of use of the program. RESULTS: Results showed that the two intervention groups improved significantly more than the control group on the clinical variables, and the improvements were greater in the group that used sensors than in the group that did not use them. Furthermore, participants in both intervention groups scored high on expectations and satisfaction with the CCBT program (with and without sensors). The mean score for usability was 88 out of 100 (standard deviation =12.32). No significant differences were found between groups on any of these variables. CONCLUSION: This is the first study to analyze the efficacy, expectations, satisfaction, and ease of use of an Internet-based program using physiological and activity sensors. These results suggest that an Internet program for depression with or without physiological and activity sensors is effective, satisfactory, and easy to use.