Interday Reliability of the IDEEA Activity Monitor for Measuring Movement and Nonmovement Behaviors in Older Adults.

The interday reliability of the Intelligent Device for Energy Expenditure and Activity (IDEEA) has not been studied to date. The study purpose was to examine the interday variability and reliability on two consecutive days collected with the IDEEA, as well as to predict the number of days needed to provide a reliable estimate of several movement (walking and climbing stairs) and nonmovement (lying, reclining, and sitting) behaviors and standing in older adults. The sample included 126 older adults (74 women) who wore the IDEEA for 48 hr. Results showed low variability between the 2 days, and the reliability was from moderate (intraclass coefficient correlation = .34) to high (.80) in most of movement and nonmovement behaviors analyzed. The Bland-Altman plots showed high-moderate agreement between days, and the Spearman-Brown formula estimated that 1.2 and 9.1 days of monitoring with the IDEEA are needed to achieve intraclass coefficient correlations ≥ .70 in older adults for sitting and climbing stairs, respectively.

The composition and structure of plant fibers affect their fining performance in wines.

In recent years, the wine industry has shifted towards plant-based fining agents for food safety reasons and consumer preferences. This study analysed the interaction of five plant fibers with red wine phenolic compounds to determinate their performance as fining agents. Chemical composition, polysaccharide profile, and physical properties were examined. Pea, cellulose, and Sauvignon Blanc pomace fibers effectively reduced tannin content while minimally affecting the concentration of anthocyanins, flavonols and wine color. Contrary to previous beliefs, the presence of pectins in fibers didn't play a crucial role in phenolic compound interaction since cellulose-rich fibers with low pectin concentration also bound tannins effectively, especially those with small particle size and high contact surface. Pea fiber, rich in cellulose and pectins, showed remarkable tannin retention while minimally affecting wine color. This research highlights the potential of plant fibers as effective fining agents in wine production and how their composition affects their performance.

Uncertainty and associated risks in the analysis of pesticides in homogeneous paprika samples.

In this study, risk estimation based on sampling and subsampling uncertainty was performed for pesticide analysis in homogeneous spice products such as paprika. The results of the subsampling were also used to estimate the minimum weight necessary in subsampling to minimize overall uncertainty. The results show that subsampling has more uncertainty than sampling in the product due to high homogeneity in the manufacturer's batch. On the other hand, results using the Monte Carlo (MC) simulation on the size of the subsample indicate that uncertainty is lower for weights between 20 and 30 g and increases for sample sizes of 100 g. A sample size of 30 g was used for saffron, and the values simulated with the MC method were confirmed.

Mapping of emerging contaminants in coastal waters research: A bibliometric analysis of research output during 1986-2022.

This bibliometric analysis provides the first overview of the literature on emerging contaminants in coastal waters. Bibexcel, Microsoft Excel, VOSviewer and the bibliometix R package software were used for bibliometric analysis and science mapping. 556 publications, published between 1986 and 2022, were retrieved from the Web of Science (WoS) database. The results showed that this field of research follows Price's law of exponential growth and has exploded since 2001. Authors, journals and institutions followed Lotka's law, and Price's index (43.4 %) showed that the field is far from being obsolete. The most influential institution is the Chinese Academy of Sciences, while authors from China, USA, Japan and Singapore have the most publications and international co-authorships. The leading journal is Marine Pollution Bulletin, with a focus on Environmental Science WoS category. Hot research areas focus on risk assessment of PCBs, organochlorine compounds and personal care products in surface water and wastewater.

Heavy Metals and Trace Elements in Human Breast Milk from Industrial/Mining and Agricultural Zones of Southeastern Spain.

Human breast milk is the most complete foodstuff for infants but can also be a potential source of exposure to toxic chemicals. The aim of this study was to assess the levels of metal pollution in the breast milk of women living in agricultural and industrial/mining areas of the Region of Murcia (Spain) that are well known for their cases of environmental pollution. Human milk samples were collected from 50 mothers and inorganic contaminants were analyzed using inductively coupled plasma mass spectrometry (ICP-MS). The mean or maximum concentrations of the different inorganic elements analyzed in breast milk, with the exception of manganese, exceeded the maximum limits established by the WHO and could constitute a high risk for pregnant mothers and their children. The breast milk of women living in the industrial/mining zone presented the highest levels of aluminum, zinc, arsenic, lead, mercury and nickel. On the contrary, the highest concentrations of manganese, chromium and iron were determined in the milk of women living in the agricultural zone. These results suggested and confirmed different profiles of environmental contamination of these areas.

Analysis of Intact Glycosidic Aroma Precursors in Grapes by High-Performance Liquid Chromatography with a Diode Array Detector.

Nowadays, the techniques for the analysis of glycosidic precursors in grapes involve changes in the glycoside structure or it is necessary the use of very expensive analytical techniques. In this study, we describe for the first time an approach to analyse intact glycosidic aroma precursors in grapes by high-performance liquid chromatography with a diode array detector (HPLC-DAD), a simple and cheap analytical technique that could be used in wineries. Briefly, the skin of Muscat of Alexandria grapes was extracted using a microwave and purified using solid-phase extraction combining Oasis MCX and LiChrolut EN cartridges. In total, 20 compounds were selected by HPLC-DAD at 195 nm and taking as a reference the spectrum of phenyl ß-D-glucopyranoside, whose DAD spectrum showed a first shoulder from 190 to 230 nm and a second around 200-360 nm. After that, these glycosidic compounds were identified by High-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (HPLC-qTOF-MS). Disaccharides hexose pentose were the most abundant group observed with respect to the sugars and monoterpendiols the main aglycones found.

Determination of pesticide residues in edible snails with QuEChERS coupled to GC-MS/MS.

A QuEChERS multi-residue GC-MS/MS method was developed for determining 160 pesticides in fresh edible snails. The method was validated according to the EU guidance SANTE/12682/2019. Twenty-seven different pesticides were quantified in the 824 samples analysed. Of these, 22.09% contained pesticide residues; in one case six different pesticides. The most frequently quantified pesticides were chlorpyrifos (108 samples), cypermethrin (50), difenoconazole (24), oxyfluorfen (13), lambda-cyhalothrin (12), tetraconazole and azoxystrobin (7). Other pesticides were found in <5 samples. Of the samples containing residues, 154 exceeded the EU legal limit. However, the estimated daily intake of pesticide residues showed that snail consumption does not represent appreciable risks to consumer health.

Science production of pesticide residues in honey research: A descriptive bibliometric study.

This work aims to provide a comprehensive study of the available research information on pesticide residues in honey through literature analysis. The research advancements within this research field from 1948 to 2019 are addressed using the Web of Science database. The results from the 685 articles analyzed indicate that this research field is in the focus of interest nowadays (Price index: 47.5%). The yearly production increased steadily from 2001 on, and authors, journals, and institutions followed Lotka's law. On the other hand, Pico, Y (Spain) (2.5%), Journal of Chromatography A (5.8%), the USA (15.0%) and Agricultural Research Service (USA) (4.0%) were the most productive author, journal, country and institution, respectively. The research hotspots of this field, according to keyword analysis, are related to the chromatographic techniques for the determination of pesticides such as imidacloprid, neonicotinoids, or coumaphos in honey and derivate products such as propolis and wax.

A descriptive bibliometric study on bioavailability of pesticides in vegetables, food or wine research (1976-2018).

A bibliometric analysis based on the Web of Science© (WOS) database was performed on bioavailability of pesticides in vegetables, food or wine related studies published from inception to 2018. A total of 1202 articles were subjected to examination. The results reveal that yearly production of scientific articles increased steadily. Journal and institution production, and author's keywords frequencies followed the Lotka's Law. Khan SU and White JC were the most productive authors. The most productive journals were Journal of Agricultural and Food Chemistry (55), and Journal of Ethnopharmacology (48), and the most common WOS subject category was Pharmacology & Pharmacy (419). USA (h-index of 40) produced 21.7 % of all articles, closely followed by China (20.6 %). Chinese Academy of Sciences (34) was the most productive research institutions. Finally, current and future trends in this area should focus on keywords such as pharmacokinetics, curcumin, in-vitro, nanoparticles, oral (bioavailability) and cell.

24-h Movement and Nonmovement Behaviors in Older Adults. The IMPACT65+ Study.

INTRODUCTION: The aims of this study were: (i) to provide a detailed description of movement and nonmovement behaviors objectively assessed over the complete 24-h period in a sample of older adults, and (ii) to analyze differences in these behaviors by sex, age, educational level, body mass index, self-rated health, and chronic conditions. METHODS: The sample comprised 607 high-functioning community-dwelling older adults (383 women), 65 to 92 yr, who participated in the IMPACT65+ study. Movement and nonmovement behaviors were assessed by the Intelligent Device for Energy Expenditure and Activity, which provide estimates on both temporal and spatial gait parameters, and identify specific functional activities on the basis of acceleration and position information. RESULTS: The final sample with valid data was 432 older adults (284 women). Around 30.7% of daily time was engaged in sedentary behavior (SB), whereas 33.5% and 35.8% was represented by physical activity (PA) and sleep, respectively. Sitting passive was the most prevalent SB (vs lying and reclining), whereas most light PA was by standing (vs active sitting and walking at <2.5 mph). Time spent walking at ≥2.5 mph was the major contributor to moderate-to-vigorous PA. No differences were found in sleep time by sociodemographic or health-related characteristics, but there were relevant differences in sedentary and PA behaviors. CONCLUSIONS: This study offers a detailed description of the distribution of SB, PA, and sleep in elderly across the 24-h spectrum. The results could be used to focus the strategies aimed to improve health in the old age.

[Daily activities assessed by a high-tech pattern-recognition monitor in older adults: preliminary findings from the IMPACT65+ study]. / Actividades diarias evaluadas mediante monitor de actividad de alta precisión en adultos mayores: resultados preliminares del Estudio IMPACT65.

INTRODUCTION: Physical activity and physical inactivity patterns can affect health status. In the elderly people, their study is relevant given the importance that they have on the morbidity and mortality. OBJECTIVE: To present preliminary data on activity and inactivity patterns of a sub-sample of older adults from the IMPACT65+ Study. MATERIAL AND METHODS: The sample included the first 84 participants (57% women) over 65 years (age 70.7±4.7). Time spent in activity and inactivity patterns was obtained from an Intelligent Device for Energy Expenditure and Activity monitor over a continuous period of 24hours. The patterns analysed were: standing, lying down, sitting or reclining, and the transition between them. The physical activity patterns analysed were; walking, step up or step down, running, and jumping. RESULTS: Time spent in inactivity patterns like reclining, lying down, and sitting was 16.1±1.9hours (67% day), while the amount of time spent in activity patterns was 2.4±1.9hours (10% day). Differences were observed between men and women in the amount of hours sitting (9.7±3 men vs. 7.5±2.7 women) and standing (4.5±1.4 men vs. 5.6±2.7 women). These differences were greater in the older participants. CONCLUSIONS: Preliminary results show that older adults spend a great part of day in inactivity patterns like sitting, and that gender is the only factor analysed that affects the time spent in the activity patterns analysed.

Automated algorithms for detecting sleep period time using a multi-sensor pattern-recognition activity monitor from 24 h free-living data in older adults.

OBJECTIVES: The aims of the present study were (i) to develop automated algorithms to identify the sleep period time in 24 h data from the Intelligent Device for Energy Expenditure and Activity (IDEEA) in older adults, and (ii) to analyze the agreement between these algorithms to identify the sleep period time as compared to self-reported data and expert visual analysis of accelerometer raw data. APPROACH: This study comprised 50 participants, aged 65-85 years. Fourteen automated algorithms were developed. Participants reported their bedtime and waking time on the days on which they wore the device. A well-trained expert reviewed each IDEEA file in order to visually identify bedtime and waking time on each day. To explore the agreement between methods, Pearson correlations, mean differences, mean percentage errors, accuracy, sensitivity and specificity, and the Bland-Altman method were calculated. MAIN RESULTS: With 87 d of valid data, algorithms 6, 7, 11 and 12 achieved higher levels of agreement in determining sleep period time when compared to self-reported data (mean difference = -0.34 to 0.01 h d-1; mean absolute error = 10.66%-11.44%; r = 0.515-0.686; accuracy = 95.0%-95.6%; sensitivity = 93.0%-95.8%; specificity = 95.7%-96.4%) and expert visual analysis (mean difference = -0.04 to 0.31 h d-1; mean absolute error = 5.0%-6.97%; r = 0.620-0.766; accuracy = 97.2%-98.0%; sensitivity = 94.5%-97.6%; specificity = 98.4%-98.8%). Bland-Altman plots showed no systematic biases in these comparisons (all p > 0.05). Differences between methods did not vary significantly by gender, age, obesity, self-rated health, or the presence of chronic conditions. SIGNIFICANCE: These four algorithms can be used to identify easily and with adequate accuracy the sleep period time using the IDEEA activity monitor from 24 h free-living data in older adults.

HCH and DDT residues in human fat in the population of Murcia (Spain).

In the Mediterranean province of Murcia (SE Spain) around 610,000 hectares of land are devoted to agriculture and organochlorine insecticide use has been common in the region for many years. To investigate HCH and DDT (isomers and metabolites) residues, a total of 231 fat samples were taken from the general population and analyzed. Organochlorine residues were found in 63.2 % of the samples. The pattern of overspreading by these substances in this part of the world is similar to that described by different authors in other countries. p,p'-DDE, beta-HCH and lindane residues, in this order, show the highest occurrence in the region and also the highest mean levels. Areas devoted to greenhouses, traditional dry farming of paprika pepper, and traditional horticultural cultivation are the most contaminated. Therefore, the past use of DDT and the actual employment of lindane seem to be reflected in the residents of these areas.

Effect of fungicide residues on the aromatic composition of white wine inoculated with three Saccharomyces cerevisiae strains.

The effects of three fungicide residues (cyprodinil, fludioxonil, and pyrimethanil) on the aromatic composition (acids, alcohols, and esters) of Vitis vinifera white wines (var. Airén) inoculated with three Saccharomyces cerevisiae strains (syn. bayanus, cerevisiae, and syn. uvarum) are studied. The aromatic exponents were extracted and concentrated by adsorption-thermal desorption and were determined by gas chromatography using a mass selective detector. The addition of the three fungicides at different doses (1 and 5 mg/L) produces significant differences in the acidic fraction of the aroma, especially in the assays inoculated with S. cerevisiae, although the final contents do not exceed the perception thresholds. The lower quality wines, according to isomeric alcohol content [(Z)-3-hexen-1-ol and 3-(methylthio)propan-1-ol] are those obtained by inoculation with S. cerevisiae(syn. bayanus) and addition of cyprodinil. The addition of fungicides in the assays inoculated with S. cerevisiae (syn. bayanus) produces an increase in the ethyl acetate and isoamyl acetate contents, which causes a decrease in the sensorial quality of the wine obtained.

Removal of famoxadone, fluquinconazole and trifloxystrobin residues in red wines: effects of clarification and filtration processes.

The effects of six clarification agents [egg albumin, blood albumin, bentonite + gelatine, charcoal, polyvinylpolypyrrolidine (PVPP) and silica gel] on the removal of residues of three fungicides (famoxadone, fluquinconazole and trifloxystrobin) applied directly to a racked red wine, elaborated from Monastrell variety grapes from the D.O. Region of Jumilla (Murcia, Spain) were studied. The clarified wines were filtered with 0.45 microm nylon filters to determine the influence of this winemaking process in the disappearance of fungicide residues. Analytical determination of fluquinconazole and trifloxystrobin was performed by gas chromatography with electron captor detector (ECD), while that of famoxadone using an HPLC equipped with a diode array detector (DAD). Generally, trifloxystrobin is the fungicide that is the lowest persistent one in wines, except in the egg albumin study whereas, the most persistent one is fluquinconazole. The elimination depends on the nature of the active ingredient, though the water stability in the presence of light within it has more influence than the solubility and polarity of the product itself. The most effective clarifying agents were the charcoal and PVPP. The silica gel and bentonite plus gelatine were not enough to reduce considerably the residual contents in the wine clarified with them. In general terms, filtration is not an effective step in the elimination of wine residues. The greatest removal after filtration is obtained in wines clarified with egg albumine and bentonite plus gelatine, and the lowest in those clarified with PVPP.