ORCID Profile
0000-0003-4932-5415
Current Organisation
Children’s Hospital of Philadelphia
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Public Library of Science (PLoS)
Date: 29-07-2009
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 06-2021
Abstract: Using an antigen capture assay to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike S1 protein, we found that the protein is present in the urine of 25% of patients with coronavirus disease 2019 (COVID-19). Further, we found that 24% and 21% of adult patients with COVID-19 have high levels of urine albumin and cystatin C, respectively. The presence of SARS-CoV-2 spike protein in the urine suggests renal abnormalities resulting from COVID-19. SARS-CoV-2 infection has, as of April 2021, affected million people worldwide, causing .5 million deaths. Because the large majority of in iduals infected with SARS-CoV-2 are asymptomatic, major concerns have been raised about possible long-term consequences of the infection. Wedeveloped an antigen capture assay to detect SARS-CoV-2 spike protein in urine s les from patients with COVID-19whose diagnosis was confirmed by positive PCR results from nasopharyngeal swabs (NP-PCR+) forSARS-CoV-2. We used a collection of 233 urine s les from 132 participants from Yale New Haven Hospital and the Children’s Hospital of Philadelphia that were obtained during the pandemic (106 NP-PCR+ and 26 NP-PCR−), and a collection of 20 urine s les from 20 in iduals collected before the pandemic. Our analysis identified 23 out of 91 (25%) NP-PCR+ adult participants with SARS-CoV-2 spike S1 protein in urine (Ur-S+). Interestingly, although all NP-PCR+ children were Ur-S−, one child who was NP-PCR− was found to be positive for spike protein in their urine. Of the 23 adults who were Ur-S+, only one in idual showed detectable viral RNA in urine. Our analysis further showed that 24% and 21% of adults who were NP-PCR+ had high levels of albumin and cystatin C, respectively, in their urine. Among in iduals with albuminuria ( .3 mg/mg of creatinine), statistical correlation could be found between albumin and spike protein in urine. Together, our data showed that one of four in iduals infected with SARS-CoV-2 develop renal abnormalities, such as albuminuria. Awareness about the long-term effect of these findings is warranted.
Publisher: Royal Society of Chemistry (RSC)
Date: 2019
DOI: 10.1039/C8AN01823E
Abstract: In this report, we present a post hoc analysis from two observational cohorts, comparing the global breath volatile profile captured when using polymer s ling bags (mixed breath) versus Bio-VOC™ (alveolar breath).
Publisher: Elsevier BV
Date: 06-2004
Publisher: Springer Science and Business Media LLC
Date: 19-06-2013
Publisher: Elsevier
Date: 2020
Publisher: Public Library of Science (PLoS)
Date: 21-11-2014
Publisher: Elsevier BV
Date: 08-2009
DOI: 10.1016/J.ACA.2009.06.056
Abstract: Analysis of 34 Sauvignon Blanc wine s les from three different countries and six regions was performed by gas chromatography-mass spectrometry (GC-MS). Linear discriminant analysis (LDA) showed that there were three distinct clusters or classes of wines with different aroma profiles. Wines from the Loire region in France and Australian wines from Tasmania and Western Australia were found to have similar aroma patterns. New Zealand wines from the Marlborough region as well as the Australian ones from Victoria were grouped together based on the volatile composition. Wines from South Australia region formed one discrete class. Seven analytes, most of them esters, were found to be the relevant chemical compounds that characterized the classes. The grouping information obtained by GC-MS, was used to train metal oxide based electronic (MOS-Enose) and mass spectrometry based electronic (MS-Enose) noses. The combined use of solid phase microextraction (SPME) and ethanol removal prior to MOS-Enose analysis, allowed an average error of prediction of the regional origins of Sauvignon Blanc wines of 6.5% compared to 24% when static headspace (SHS) was employed. For MS-Enose, the misclassification rate was higher probably due to the requirement to delimit the m/z range considered.
Publisher: AMPCo
Date: 02-2201
DOI: 10.5694/MJA15.01244
Publisher: Elsevier BV
Date: 10-2018
Publisher: AIP
Date: 2011
DOI: 10.1063/1.3626302
Publisher: IOP Publishing
Date: 18-02-2016
DOI: 10.1088/1748-3190/11/2/026002
Abstract: In many application domains, conventional e-noses are frequently outperformed in both speed and accuracy by their biological counterparts. Exploring potential bio-inspired improvements, we note a number of neuronal network models have demonstrated some success in classifying static datasets by abstracting the insect olfactory system. However, these designs remain largely unproven in practical settings, where sensor data is real-time, continuous, potentially noisy, lacks a precise onset signal and accurate classification requires the inclusion of temporal aspects into the feature set. This investigation therefore seeks to inform and develop the potential and suitability of biomimetic classifiers for use with typical real-world sensor data. Taking a generic classifier design inspired by the inhibition and competition in the insect antennal lobe, we apply it to identifying 20 in idual chemical odours from the timeseries of responses of metal oxide sensors. We show that four out of twelve available sensors and the first 30 s (10%) of the sensors' continuous response are sufficient to deliver 92% accurate classification without access to an odour onset signal. In contrast to previous approaches, once training is complete, sensor signals can be fed continuously into the classifier without requiring discretization. We conclude that for continuous data there may be a conceptual advantage in using spiking networks, in particular where time is an essential component of computation. Classification was achieved in real time using a GPU-accelerated spiking neural network simulator developed in our group.
Publisher: American Society for Microbiology
Date: 24-10-2023
Publisher: Oxford University Press (OUP)
Date: 03-03-2017
DOI: 10.1093/JEE/TOX051
Abstract: The red flour beetle, Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae), is a worldwide pest of stored grains. Using "Y"-tube olfactometry we studied the response of T. castaneum to odors from simulated wheat infestations containing conspecifics, and infestations containing the lesser grain borer, Rhyzopertha dominica (F.) (Coleoptera: Bostrichidae), and the granary weevil Sitophilus granarius (L.) (Coleoptera: Curculionidae). Tribolium castaneum larvae were significantly attracted to odors from all three test species. Tribolium castaneum adults were attracted to grains infested by R. dominica and flour infested by T. castaneum but repelled from grains infested by S. granarius. Further behavioral analysis with pheromones showed that T. castaneum were significantly attracted to their aggregation pheromone, dimethyldecanal (DMD), but not to the R. dominica aggregation pheromone, a mixture of dominicalure 1 and 2. Female T. castaneum adults were attracted to ∼50-fold less DMD than larvae and 100-fold less than male adults, suggesting they are more sensitive to DMD. This study improves our understanding of T. castaneum behaviors to infested grain volatile compounds and pheromones, and may help develop new control methods for grain pest species.
Publisher: IOP Publishing
Date: 19-09-2018
Publisher: Oxford University Press (OUP)
Date: 25-03-2015
Publisher: Elsevier BV
Date: 02-2004
Publisher: MyJove Corporation
Date: 14-02-2019
DOI: 10.3791/59217
Publisher: Elsevier BV
Date: 10-2013
Publisher: Cold Spring Harbor Laboratory
Date: 07-12-2020
DOI: 10.1101/2020.12.04.20230755
Abstract: SARS-CoV-2 infection is diagnosed through detection of specific viral nucleic acid or antigens from respiratory s les. These techniques are relatively expensive, slow, and susceptible to false-negative results. A rapid non-invasive method to detect infection would be highly advantageous. Compelling evidence from canine biosensors and studies of adults with COVID-19 suggests that infection reproducibly alters human volatile organic compounds (VOCs) profiles. To determine whether pediatric infection is associated with VOC changes, we enrolled SARS-CoV-2-infected and -uninfected children admitted to a major pediatric academic medical center. Breath s les were collected from children and analyzed through state-of-the-art GCxGC-ToFMS. Isolated features included 84 targeted VOCs. Candidate biomarkers that were correlated with infection status were subsequently validated in a second, independent cohort of children. We thus find that six volatile organic compounds are significantly and reproducibly increased in the breath of SARS-CoV-2-infected children. Three aldehydes (octanal, nonanal, and heptanal) drew special attention, as aldehydes are also elevated in the breath of adults with COVID-19. Together, these biomarkers demonstrate high accuracy for distinguishing pediatric SARS-CoV-2 infection and support the ongoing development of novel breath-based diagnostics.
Publisher: MDPI AG
Date: 15-04-2010
DOI: 10.3390/S100403882
Publisher: American Chemical Society (ACS)
Date: 28-07-2021
Publisher: American Chemical Society (ACS)
Date: 16-04-2008
DOI: 10.1021/JF7037289
Abstract: Taints caused by Brettanomyces sp. spoilage are of concern to winemakers and consumers. Typically the taints are described as "barnyard", "sweaty saddle", and "Band-aid" when present in red wine at concentrations of several hundred micrograms per liter or more. The two main components of the taint are 4-ethylphenol (4EP) and 4-ethylguaiacol (4EG), which are metabolites produced by Brettanomyces yeasts. There is a need for a rapid instrumental method to quantify these compounds in wines. In this paper are compared two techniques, the metal oxide sensor-based electronic nose (MOS-Enose) and the mass spectrometry-based electronic nose (MS-Enose). Gas chromatography-mass spectrometry (GC-MS) was used for quantification and prediction purposes. Following ethanol removal, the limits of detection of a MOS-Enose were determined as 44 microg L(-1) for 4EP and 91 microg L(-1) for 4EG, using the SY/gCT sensor. These values are significantly lower than the reported human sensory thresholds. Partial least-squares (PLS) regression of electronic nose signals against known levels of 4EP and 4EG in 46 Australian red wines showed that the MOS-Enose was unable to identify "brett" spoilage reliably because of the response of the gas sensors to inters le variation in volatile compounds other than ethylphenols. Conversely, the MS-Enose was capable of reliably estimating concentrations of 4EP higher than 20 microg L(-1). Correlations (r2) of 0.97 and 0.98 were obtained between estimates of 4EP and 4EG concentrations with the concentrations determined by conventional GC-MS. It is concluded that, following ethanol removal, existing metal oxide sensors are sufficiently sensitive to detect brett taints in wine but lack the selectivity needed to perform this task when the aroma volatile background varies.
Publisher: Public Library of Science (PLoS)
Date: 14-04-2021
DOI: 10.1371/JOURNAL.PONE.0250158
Abstract: While the world awaits a widely available COVID-19 vaccine, availability of testing is limited in many regions and can be further compounded by shortages of reagents, prolonged processing time and delayed results. One approach to rapid testing is to leverage the volatile organic compound (VOC) signature of SARS-CoV-2 infection. Detection dogs, a biological sensor of VOCs, were utilized to investigate whether SARS-CoV-2 positive urine and saliva patient s les had a unique odor signature. The virus was inactivated in all training s les with either detergent or heat treatment. Using detergent-inactivated urine s les, dogs were initially trained to find s les collected from hospitalized patients confirmed with SARS-CoV-2 infection, while ignoring s les collected from controls. Dogs were then tested on their ability to spontaneously recognize heat-treated urine s les as well as heat-treated saliva from hospitalized SARS-CoV-2 positive patients. Dogs successfully discriminated between infected and uninfected urine s les, regardless of the inactivation protocol, as well as heat-treated saliva s les. Generalization to novel s les was limited, particularly after intensive training with a restricted s le set. A unique odor associated with SARS-CoV-2 infection present in human urine as well as saliva, provides impetus for the development of odor-based screening, either by electronic, chemical, or biological sensing methods. The use of dogs for screening in an operational setting will require training with a large number of novel SARS-CoV-2 positive and confirmed negative s les.
Publisher: Public Library of Science (PLoS)
Date: 04-03-2014
Location: No location found
Location: United States of America
Location: United States of America
No related grants have been discovered for Amalia Berna.