Rapid Collection Research Articles

Evaluation of serum and rapid serum separator collection tubes for therapeutic drug assays

Appropriate specimen collection and storage is essential to preserve sample integrity and ensure accurate test results. The default collection containers for blood drug concentrations are tubes without gel separators to avoid possible drug adsorption. However, routine chemistry tests are generally collected in gel separator tubes due to their convenient transport and processing; collection of an additional gel-free tube is often required for drug measurements.Citrated whole blood was pooled, spiked with drug, and transferred to three tubes (red, SST gold, RST orange) containing calcium chloride. Blood was allowed to clot, centrifuged and stored at ambient temperature (24 h) or refrigerated (7 days). At defined times, serum drug concentrations were determined (Roche cobas c502). Based on these results, specimen collection requirements were updated to allow serum separator tubes for 17 assays.Of the 21 assays evaluated, 18 displayed acceptable stability in both gel-containing tubes (acetaminophen, amikacin, carbamazepine, digoxin, ethanol, gentamicin, lamotrigine, levetiracetam, lithium, methotrexate, phenobarbital, phenytoin, salicylate, theophylline, tobramycin, valproic acid, vancomycin, voriconazole). Three drugs displayed strong decreases in measured concentrations after storage in one or both gel-containing tubes (total tricyclics, lidocaine, and free phenytoin). Following adoption of gel-containing tubes, 94% of the five most frequently ordered drug monitoring tests in the Emergency Department were collected in serum separator tubes.Evaluation of the stability and accuracy of commonly monitored drugs revealed that the majority were not affected by exposure to gel separator material under conditions similar to outpatient clinic storage, courier transport, and laboratory storage. Expanding the collection requirements for appropriate drugs to include gel separator tubes decreases the number of specimens drawn and the complexity of laboratory workflows.

PSP with trained assessors as alternative for descriptive analysis of a product with a complex sensory profile

Rapid sensory profiling of a product over time presents a challenge in quality control, particularly when the product has a complex aroma and flavour profile. Polarized sensory positioning (PSP), based on the comparison of samples to fixed references, allows for rapid sensory profiling and data collection across multiple sessions. The efficacy of partial and global PSP for broad-based sensory profiling of honeybush infusions, prepared from five Cyclopia species (C. genistoides, C. subternata, C. maculata, C. intermedia and C. longifolia), was investigated. Trained assessors conducted partial PSP on aroma (P-PSPa) and palate (P-PSPp), as well as global PSP. A continuous scale and five poles, representing the respective Cyclopia species, were used to evaluate the honeybush infusions. Data, aggregated over three sessions per PSP variant, were subjected to multiple factor analysis (MFA). Similar product configurations were obtained when comparing the principal component analysis (PCA) bi-plot of the descriptive sensory analysis data and the MFA plots of partial and global PSP (RV coefficients ≥ 0.87). P-PSPa was as effective as global PSP in discriminating between honeybush tea samples. Application of PSPa by trained assessors is recommended for quality control in the honeybush tea industry: in this variant of PSP assessors focus on one modality, thereby potentially reducing sensory fatigue. Cyclopia genistoides, C. longifolia and C. maculata herbal teas formed one group, indicating that these herbal teas could be blended without losing sensory character. Cyclopia subternata and C. intermedia formed separate groups, indicating their suitability for species-specific marketing.

Conducting rapid qualitative interview research during the COVID-19 pandemic-Reflections on methodological choices.

As the COVID-19 pandemic has shown, setting up studies in time to gather relevant, real-world data enables researchers to capture current views and experiences, focus on practicalities on the ground, and deliver actionable results. Delivering high quality rapid studies in healthcare poses several challenges even in non-emergency situations. There is an expanding literature discussing benefits and challenges of conducting rapid research, yet there are relatively few examples related to methodological dilemmas and decisions that researchers may face when conducting rapid studies. In rapidly-changing emergency contexts, some of these challenges may be more easily overcome, while others may be unique to the emergency, magnified, or emerge in different ways. In this manuscript, we discuss our reflections and lessons learnt across the research process when conducting rapid qualitative interview studies in the context of a healthcare emergency, focusing on methodological issues. By this we mean the challenging considerations and pragmatic choices we made, and their downstream impacts, that shaped our studies. We draw on our extensive combined experience of delivering several projects during the COVID-19 pandemic in both single and multi-country settings, where we implemented rapid studies, or rapidly adapted an existing study. In the context of these studies, we discuss two main considerations, with a particular focus on the complexities, multiple facets, and trade-offs involved in: (i) team-based approaches to qualitative studies; and (ii) timely and rapid data collection, analysis and dissemination. We contribute a transparent discussion of these issues, describing them, what helped us to deal with them, and which issues have been difficult to overcome. We situate our discussion of arising issues in relation to existing literature, to offer broader recommendations while also identifying gaps in current understandings of how to deal with these methodological challenges. We thus identify key considerations, lessons, and possibilities for researchers implementing rapid studies in healthcare emergencies and beyond. We aim to promote transparency in reporting, assist other researchers in making informed choices, and consequently contribute to the development of the rapid qualitative research.

Wavelet neural network and complete ensemble empirical decomposition method to traffic control prediction

Traffic control prediction is one of the important issues of smart cities in that, by studying traffic parameters, there can be provided more peace and comfort in appropriate traffic routes. Combination of new and different technologies and scientific technical models for this complex prediction has always been paid attention to by researchers. In this paper, by presenting and improving one of the new methods of data collection with traffic congestion index, the appropriate models for predicting traffic control have been compared. Rapid and inexpensive collection of information and, the dynamics and momentary changes of traffic flows showed that the use of wavelet neural network was more accurate than other models of traffic control prediction. The application of combined Wavelet Neural Network with Complete Ensemble Empirical Mode Decompositionin traffic control prediction in this paper as CEEMD & WNN showed that the prediction accuracy increased compared to ARIMA, WNN, HYBRID ARIMA & WNN, TN methods and this new method has reasonable performance against the evaluation criteria to predict traffic control.

Banking on the Last Gift: Cornell's Signature Program of Postmortem Tissue Procurement.

High-quality, well-annotated, healthy tissue specimens are crucial to the success of basic and translational research, but often difficult to procure. Postmortem (PM) tissue collections provide the opportunity to collect these healthy biospecimens. PM procurement programs led by biobanks can further contribute by providing researchers with rare biospecimens collected with short postmortem intervals (PMI) in controlled environments. To support biomedical and translational research, the Cornell Veterinary Biobank (CVB), an ISO 20387 accredited core resource at the Cornell University College of Veterinary Medicine, has performed PM tissue collections from research and privately owned animals since 2013. The CVB PM collection team, consisting of a board-certified veterinary pathologist, a licensed veterinary technician collection specialist, and a data capture specialist, performs rapid tissue collections during controlled warm necropsies, with an accepted PMI of ≤2 hours and a target PMI of ≤1 hour. A retrospective analysis of PM collections between 2013 and 2020 was completed, consisting of 4077 aliquots of 1582 biospecimens from 69 donors (48 canine, 16 feline, and 5 equine). An average of 22.93 biospecimens per donor were collected (range: 1-49). The average PMI for standard collections was 43.48 ± 2.30 minutes, starting on average 20.81 ± 1.61 minutes after time of death. Thus far, the CVB has a favorable utilization rate, with 414 aliquots (10.15%) from 350 specimens (20.12%) and 45 animals (65.22%) distributed to researchers. The success of the CVB PM tissue biobanking program, collecting high-quality biospecimens with short PMIs, was due to support from veterinary pathologists, the competence of CVB personnel, and the continuous evolution of methods within a quality management system. Improvement of PM tissue collection programs in biobanks, with standardized practices for all processes and specialized personnel, can enhance the quality and increase utilization of its biospecimens and associated data.

Numerical Study of Periodic Composite Structure Absorber Based on MoS2 Material

In this paper, a broadband absorber with a periodic composite structure based on numerical simulation of finite-difference time-domain method (FDTD) is proposed. The absorber base is titanium (Ti), on which iron tetroxide (Fe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> ) nanospheres are laid. The nanospheres are coated with molybdenum disulfide (MoS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) and lanthanum fluoride (LaF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) composites, respectively, and are periodically arranged in symmetrical rectangular arrays. The numerical analysis results show that the absorber designed in this paper had an average absorption rate of 95.00% in the light wavelength range of 200 nm to 2500 nm, with the absorption bandwidth reaching 2300 nm, which was a significant improvement compared with other absorbers, and 100.00% absorption was achieved at 300 nm and 650 nm. According to the analysis of the coupling effect of the surface plasmon resonance (SPR) and the localized surface plasmon resonance (LSPR), the ultra-broadband absorber achieved perfect absorption performance. The research results indicate that the absorber proposed in this paper is insensitive to light polarization, has a wide-angle characteristic, and is easy to realize recycling. Therefore, it has a great potential value for the application in photothermal conversion, seawater desalination, and rapid collection of sea salt.

Fabrication of Durable Superhydrophobic Surface for Versatile Oil/Water Separation Based on HDTMS Modified PPy/ZnO.

Superhydrophobic materials have been widely applied in rapid removal and collection of oils from oil/water mixtures for increasing damage to environment and human beings caused by oil-contaminated wastewater and oil spills. Herein, superhydrophobic materials were fabricated by a novel polypyrrole (PPy)/ZnO coating followed by hexadecyltrimethoxysilane (HDTMS) modification for versatile oil/water separation with high environmental and excellent reusability. The prepared superhydrophobic surfaces exhibited water contact angle (WCA) greater than 150° and SA less than 5°. The superhydrophobic fabric could be applied for separation of heavy oil or light oil/water mixtures and emulsions with the separation efficiencies above 98%. The coated fabric also realized highly efficient separation with harsh environmental solutions, such as acid, alkali, salt, and hot water. The superhydrophobic fabric still remained, even after 80 cycles of separation and 12 months of storage in air, proving excellent durability. These novel superhydrophobic materials have indicated great development potentials for oil/water separation in practical applications.

Simultaneous determination of additive concentration in rubber using ATR-FTIR spectroscopy

Using attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy for direct quantitative analysis is highly desirable for many sample systems due to advantages such as rapid spectra collection and being completely non-destructive. However, for many complex sample matrices the feasibility of direct quantitative analysis using ATR-FTIR is uncertain. The commonly used Beer–Lambert law may not be applicable for many systems in general, besides sample related complexities such as inhomogeneity, variable optical properties, or heavily overlapping absorption bands. In this study, we consider fully formulated vulcanized rubber with carbon black or silica as the primary filler as our system of interest. We developed a method to simultaneously quantify the concentration of three different antidegradents of similar chemical structure directly on rubber samples using ATR-FTIR spectra. Results show that absorbance follows the Beer–Lambert law well for the range of antidegradent concentrations considered. Despite this, a direct application of the Beer–Lambert law to deconvolute overlapping peaks between antidegradents proved insufficient. Through the application of partial least squares (PLS) multivariate analysis, remarkable prediction accuracy of within about 0.15 wt% error for all three antidegradents was achieved for both types of rubber formulations, even with high levels of carbon black. These results show the value this method has for quantitative analysis of additives in rubber. Our investigation highlights the potential usefulness of FTIR spectroscopy in general for rapid quantitative analysis directly on samples of interest without any prior chemical separation.

Characterization of a rapid condensate collection apparatus for in vitro assays of electronic nicotine delivery systems

In vitro testing of Electronic Nicotine Delivery System (ENDS) aerosol condensates is important in evaluating their potential toxicity. Collecting sufficient condensate for these tests is a time consuming and costly procedure. The “triple puff (TP)” is a novel system which collects the aerosol from three ENDS devices sequentially into a single filter pad and impinger. The TP substantially reduces condensate collection time relative to the conventional single ENDS, single puff (SP), device system. Both the TP and SP (using two puffing profiles) were used to generate condensates from JUUL ENDS e-liquid Mint 5.0% (nicotine by weight). Aerosols were collected using the filter pad and ethanol-containing impinger method. Condensates produced with the SP and TP were compared for concentrations of primary constituents and carbonyl compounds as well as for their cytotoxicity (OECD 129), mutagenicity (OECD 471) and genotoxicity (OECD 487). Condensates generated with the SP and TP, regardless of puffing regimen, were very similar chemically and equivalent in the biological assays tested (not cytotoxic, mutagenic, or genotoxic). The TP device significantly reduces production time of ENDS condensates relative to the standard SP method and thus may facilitate further research by reducing the time and effort required to collect ENDS condensates.

Stepped care to optimize pre-exposure prophylaxis (PrEP) effectiveness in pregnant and postpartum women (SCOPE-PP) in South Africa: a randomized control trial

BackgroundHIV incidence among pregnant and postpartum women remains high in South Africa. Pre-exposure prophylaxis (PrEP) use remains suboptimal in this population, particularly during the postpartum period when women’s engagement with routine clinic visits outside PrEP decreases. Key barriers to sustained PrEP use include the need for ongoing contact with the health facility and suboptimal counseling around effective PrEP use.MethodsStepped Care to Optimize PrEP Effectiveness in Pregnant and Postpartum women (SCOPE-PP), is a two-stepped unblinded, individually randomized controlled trial (RCT) that aims to optimize peripartum and postpartum PrEP use by providing a stepped package of evidence-based interventions. We will enroll 650 pregnant women (> 25 weeks pregnant) who access PrEP at a busy antenatal clinic in Cape Town at the time of recruitment and follow them for 15 months. We will enroll and individually randomize pregnant women > 16 years who are not living with HIV who are either on PrEP or interested in starting PrEP during pregnancy. In step 1, we will evaluate the impact of enhanced adherence counselling and biofeedback (using urine tenofovir tests for biofeedback) and rapid PrEP collection (to reduce time required) on PrEP use in early peripartum compared to standard of care (SOC) (n = 325 per arm). The primary outcome is PrEP persistence per urine tenofovir levels and dried blood spots of tenofovir diphosphate (TFV-DP) after 6-months. The second step will enroll and individually randomize participants from Step 1 who discontinue taking PrEP or have poor persistence in Step 1 but want to continue PrEP. Step 2 will test the impact of enhanced counseling and biofeedback plus rapid PrEP collection compared to community PrEP delivery with HIV self-testing on PrEP use (n = up to 325 postpartum women). The primary outcome is PrEP continuation and persistence 6-months following second randomization (~ 9-months postpartum). Finally, we will estimate the cost effectiveness of SCOPE-PP vs. SOC per primary outcomes and disability-adjusted life-years (DALYs) averted in both Step 1 and 2 using micro-costing with trial- and model-based economic evaluation.DiscussionThis study will provide novel insights into optimal strategies for delivering PrEP to peripartum and postpartum women in this high-incidence setting.Trial registrationNCT05322629: Date of registration: April 12, 2022.

The Challenge of the Heritage of Protest Movements

This article analyses the challenge of collecting the heritage of present-day global protest movements, which are shaped and influenced by digital practices. In focus of the analysis are the mass-street demonstrations which took place in cities all over Poland in 2020 and 2021 to denounce the ruling of the Constitutional Tribunal imposing a near-total ban on abortion (the “women’s rebellion”). Considered as the largest social protests since the fall of communism in 1989, they have engendered several spontaneous documenting and collecting initiatives. The aims and outcomes of such projects, launched by Polish museums, NGOs, artistic collectives, etc. will be juxtaposed in this article with similar ventures aimed at collecting and archiving the global social movements of the twenty first century and examined as the first Polish examples of Rapid Response Collecting (RRC). This article, by analysing the recent RRC projects of the 2020/21 protests against the abortion ban in Poland, aims to inscribe them in the current discussions on the preservation of digital heritage. While pointing out definitional issues with digital heritage, my analysis also demonstrates the need to integrate and interrelate digital heritage within the wider framework of cultural heritage, its preservation and institutionalisation.

Testing Frequency Matters: An Evaluation of the Diagnostic Performance of a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Rapid Antigen Test in US Correctional Facilities.

BackgroundThe CDC recommends serial rapid antigen assay collection within congregate facilities. Though modeling and observational studies from communities and long-term care facilities have shown serial collection provides adequate sensitivity and specificity, the accuracy within correctional facilities remains unknown.MethodsUsing Connecticut Department of Corrections (DOC) data from November 21st 2020 to June 15th 2021, we estimated the accuracy of a rapid assay, BinaxNOW, under three collection strategies, single test collection and serial collection of two and three tests separated by 1-4 days. The sensitivity and specificity of the first (including single), second, and third serially collected BinaxNOW tests were estimated relative to RT-PCRs collected within one day of the BinaxNOW test. The accuracy metrics of the testing strategies were then estimated as the sum (sensitivity) and product (specificity) of tests in each strategy.ResultsOf the 13,112 residents who contributed ≥1 BinaxNOW test during the study period, 3,825 contributed ≥1 RT-PCR paired BinaxNOW test. In relation to RT-PCR, the three-rapid antigen test strategy had a sensitivity of 95.9% (95% confidence intervals (CI): 93.6-97.5%) and specificity of 98.3% (CI: 96.7-99.1%). The sensitivity of the two- and one-rapid antigen test strategies were 88.8% and 66.8%, respectively, and the specificities were 98.5% and 99.4%, respectively. The sensitivity was higher among symptomatic residents and when RT-PCRs were collected before BinaxNOW tests.ConclusionsWe found serial antigen test collection resulted in high diagnostic accuracy. These findings support serial collection for outbreak investigation, screening, and when rapid detection is required (such as intakes or transfers).

High-throughput salting-out assisted liquid-liquid extraction using a 3D printed device and its application in the quantification of ibrutinib and its metabolite PCI-45227 in human serum

Liquid–liquid extraction methods are widely used for sample treatment in bioanalysis, although their implementation poses a common speed-limiting step in the analytical process when fast separation and detection methods such as UHPLC-MS are used. This study aimed to develop high-throughput salting-out assisted liquid–liquid extraction on a 96-well plate in combination with fast LC-MS analysis of ibrutinib and its active metabolite PCI-45227 (dihydrodiol ibrutinib) in human serum. A specially designed 3D printed extraction device developed in our laboratory allowed for the precise and rapid collection of the organic phase from the 96-well plate using a multichannel pipette, without the risk of aspiration of the bottom aqueous layer. The application of this device significantly accelerated sample preparation and allowed the processing of up to 96 samples in 1 h. The method was successfully validated according to EMA guidelines in the concentration range of 0.1–200 ng/mL for both analytes, providing lower limit of quantification at 100 pg/mL. The intra-day accuracy for IBT was in the range of − 1.67–5.67 %, while the inter-day accuracy was in the range of 0.20–6.90 %. The intra-day precision for IBT was in the range of 3.20–4.37 % and 3.13–4.73 % for the inter-day measurement. PCI-45227 showed intra-day accuracy in the range of − 11.2–3.71 % and the inter-day accuracy in the range of − 5.76–0.92 %. The intra-day precision for PCI was in the range of 3.49–7.64 % and 3.63–8.61 % for the measurement between days.In addition to increasing the speed of sample preparation, this method also offers low consumption of the sample and extraction solvent and can be utilized for other similar small-volume in-well plate extractions where organic solvents of lower density than water are used. The method was successfully applied to the analysis of serum samples (n = 5) of patients with chronic lymphoblastic leukaemia at the trough level (ibrutinib concentration range: 1.63–3.78 ng/mL, PCI-45227 concentration range: 1.84–14.02 ng/mL) and 2 h postdose (ibrutinib concentration range: 7.34–89.0 ng/mL, PCI-45227 concentration range: 5.64–124 ng/mL).

Use of Random Domain Intercept Technology to Track COVID-19 Vaccination Rates in Real Time Across the United States: Survey Study.

BackgroundAccurate and timely COVID-19 vaccination coverage data are vital for informing targeted, effective messaging and outreach and identifying barriers to equitable health service access. However, gathering vaccination rate data is challenging, and efforts often result in information that is either limited in scope (eg, limited to administrative data) or delayed (impeding the ability to rapidly respond). The evaluation of innovative technologies and approaches that can assist in addressing these limitations globally are needed.ObjectiveThe objective of this survey study was to assess the validity of Random Domain Intercept Technology (RDIT; RIWI Corp) for tracking self-reported vaccination rates in real time at the US national and state levels. RDIT—a form of online intercept sampling—has the potential to address the limitations of current vaccination tracking systems by allowing for the measurement of additional data (eg, attitudinal data) and real-time, rapid data collection anywhere there is web access.MethodsWe used RDIT from June 30 to July 26, 2021, to reach a broad sample of US adult (aged ≥18 years) web users and asked questions related to COVID-19 vaccination. Self-reported vaccination status was used as the focus of this validation exercise. National- and state-level RDIT-based vaccination rates were compared to Centers for Disease Control and Prevention (CDC)–reported national and state vaccination rates. Johns Hopkins University’s and Emory University’s institutional review boards designated this project as public health practice to inform message development (not human subjects research).ResultsBy using RDIT, 63,853 adult web users reported their vaccination status (6.2% of the entire 1,026,850 American web-using population that was exposed to the survey). At the national level, the RDIT-based estimate of adult COVID-19 vaccine coverage was slightly higher (44,524/63,853, 69.7%; 95% CI 69.4%-70.1%) than the CDC-reported estimate (67.9%) on July 15, 2021 (ie, midway through data collection; t63,852=10.06; P<.001). The RDIT-based and CDC-reported state-level estimates were strongly and positively correlated (r=0.90; P<.001). RDIT-based estimates were within 5 percentage points of the CDC’s estimates for 29 states.ConclusionsThis broad-reaching, real-time data stream may provide unique advantages for tracking the use of a range of vaccines and for the timely evaluation of vaccination interventions. Moreover, RDIT could be harnessed to rapidly assess demographic, attitudinal, and behavioral constructs that are not available in administrative data, which could allow for deeper insights into the real-time predictors of vaccine uptake–enabling targeted and timely interventions.

Development of an Accessible Gene Expression Bioinformatics Pipeline to Study Driver Mutations of Colorectal Cancer.

Colorectal cancer (CRC) is a global cause of cancer-related mortality driven by genetic and environmental factors which influence therapeutic outcomes. The emergence of next-generation sequencing technologies enables the rapid and extensive collection and curation of genetic data for each cancer type into clinical gene expression biobanks. We report the application of bioinformatics tools for investigating the expression patterns and prognostic significance of three genes that are commonly dysregulated in colon cancer: adenomatous polyposis coli (APC); B-Raf proto-oncogene (BRAF); and Kirsten rat sarcoma viral oncogene homologue (KRAS). Through the use of bioinformatics tools, we show the patterns of APC, BRAF and KRAS genetic alterations and their role in patient prognosis. Our results show mutation types, the frequency of mutations, tumour anatomical location and differential expression patterns for APC, BRAF and KRAS for colorectal tumour and matched healthy tissue. The prognostic value of APC, BRAF and KRAS genetic alterations was investigated as a function of their expression levels in CRC. In the era of precision medicine, with significant advancements in biobanking and data curation, there is significant scope to use existing clinical data sets for evaluating the role of mutational drivers in carcinogenesis. This approach offers the potential for studying combinations of less well-known genes and the discovery of novel biomarkers, or for studying the association between various effector proteins and pathways.

The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions.

Neuropsychological assessment using the Boston Process Approach (BPA) suggests that an analysis of the strategy or the process by which tasks and neuropsychological tests are completed, and the errors made during test completion convey much information regarding underlying brain and cognition and are as important as overall summary scores. Research over the last several decades employing an analysis of process and errors has been able to dissociate between dementia patients diagnosed with Alzheimer's disease, vascular dementia associated with MRI-determined white matter alterations, and Parkinson's disease; and between mild cognitive impairment subtypes. Nonetheless, BPA methods can be labor intensive to deploy. However, the recent availability of digital platforms for neuropsychological test administration and scoring now enables reliable, rapid, and objective data collection. Further, digital technology can quantify highly nuanced data previously unobtainable to define neurocognitive constructs with high accuracy. In this paper, a brief review of the BPA is provided. Studies that demonstrate how digital technology translates BPA into specific neurocognitive constructs using the Clock Drawing Test, Backward Digit Span Test, and a Digital Pointing Span Test are described. Implications for using data driven artificial intelligence-supported analytic approaches enabling the creation of more sensitive and specific detection/diagnostic algorithms for putative neurodegenerative illness are also discussed.

A Separation‐Sensing Platform Performing Accurate Diagnosis of Jaundice in Complex Biological Tear Fluids

AbstractThe detection of biomarkers in tears has aroused great interest owing to the advantages of non‐invasive and rapid collection. The combination of ultrasensitivity and label‐free detection of surface‐enhanced Raman spectroscopy (SERS) sensors is expected to achieve real‐time diagnosis in home medical care. However, the surface of SERS sensors is susceptible to biofouling and inactivation by biological impurities in tears, resulting in rapid degradation of sensitivity, limiting the commercialization of point‐of‐care devices. Herein, a binary nanosphere array with dual properties is constructed as a separation‐sensing platform for the diagnosis of target molecules in tears. The upper part of the structure is composed of Au nanoparticles (AuNPs) and a sputtering Au layer, which can bind the target molecules that interact with Au and provide high‐strength and high‐density SERS hotspots. The lower half is an inactive SiO2 nanosphere array with periodic large pores that allows biological impurities to penetrate the lower part and be separated from the target analyte. Furthermore, this substrate was integrated into homemade tear kits, enabling simultaneous tear collection, pre‐separation, and detection. Combined with the Raman spectra of tears and LDA analysis, we successfully identified patients with jaundice in clinics. This platform is expected to provide an opportunity for early disease screening based on biological fluids.

A Separation‐Sensing Platform Performing Accurate Diagnosis of Jaundice in Complex Biological Tear Fluids

The detection of biomarkers in tears has aroused great interest owing to the advantages of non-invasive and rapid collection. The combination of ultrasensitivity and label-free detection of surface-enhanced Raman spectroscopy (SERS) sensors is expected to achieve real-time diagnosis in home medical care. However, the surface of SERS sensors is susceptible to biofouling and inactivation by biological impurities in tears, resulting in rapid degradation of sensitivity, limiting the commercialization of point-of-care devices. Herein, a binary nanosphere array with dual properties is constructed as a separation-sensing platform for the diagnosis of target molecules in tears. The upper part of the structure is composed of Au nanoparticles (AuNPs) and a sputtering Au layer, which can bind the target molecules that interact with Au and provide high-strength and high-density SERS hotspots. The lower half is an inactive SiO2 nanosphere array with periodic large pores that allows biological impurities to penetrate the lower part and be separated from the target analyte. Furthermore, this substrate was integrated into homemade tear kits, enabling simultaneous tear collection, pre-separation, and detection. Combined with the Raman spectra of tears and LDA analysis, we successfully identified patients with jaundice in clinics. This platform is expected to provide an opportunity for early disease screening based on biological fluids.

Comparison of materials for rapid passive collection of environmental DNA.

Passive collection is an emerging sampling method for environmental DNA (eDNA) in aquatic systems. Passive eDNA collection is inexpensive and efficient, and requires minimal equipment, making it suited to high‐density sampling and remote deployment. Here, we compare the effectiveness of nine membrane materials for passively collecting fish eDNA from a 3‐million‐litre marine mesocosm. We submerged materials (cellulose, cellulose with 1% and 3% chitosan, cellulose overlayed with electrospun nanofibres and 1% chitosan, cotton fibres, hemp fibres, and sponge with either zeolite or active carbon) for intervals between 5 and 1080 min. We show that for most materials, with as little as 5 min of submersion, mitochondrial fish eDNA measured with qPCR, and fish species richness measured with metabarcoding, was comparable to that collected by conventional filtering. Furthermore, PCR template DNA concentrations and species richness were generally not improved significantly by longer submersion. Species richness detected for all materials ranged between 11 and 37 species, with a median of 27, which was comparable to the range for filtered eDNA (19–32). Using scanning electron microscopy, we visualized biological matter adhering to the surface of materials, rather than entrapped, with images also revealing a diversity in size and structure of putative eDNA particles. eDNA can be collected rapidly from seawater with a passive approach and using a variety of materials. This will suit cost‐ and time‐sensitive biological surveys, and where access to equipment is limited.

The Community Assessment to Inform Rapid Response (CAIRR): A Novel Qualitative Data Collection and Analytic Process to Facilitate Hyperlocal COVID-19 Emergency Response Operations in New York City.

All disasters are local but implementing a hyperlocal response in the midst of a public health emergency is challenging. The availability of neighborhood-level qualitative data that are both timely and relevant to evolving objectives and operations is a limiting factor. In 2020, the New York City Department of Health and Mental Hygiene (NYC DOHMH) responded to the COVID-19 emergency using a novel, hyperlocal approach. Key to the implementation of this approach was the creation of the Community Assessment to Inform Rapid Response (CAIRR), a process for rapid collection and analysis of neighborhood-specific, objective-focused, qualitative data to inform tailored response operations. This paper describes the process of developing the CAIRR and its contribution to the NYC DOHMH's hyperlocal response in order to guide other jurisdictions seeking to employ a hyperlocal approach in future disaster responses.