Improving high throughput manufacture of laser-inscribed graphene electrodes via hierarchical clustering.

Laser-inscribed graphene (LIG), initially developed for graphene supercapacitors, has found widespread use in sensor research and development, particularly as a platform for low-cost electrochemical sensing. However, batch-to-batch variation in LIG fabrication introduces uncertainty that cannot be adequately tracked during manufacturing process, limiting scalability. Therefore, there is an urgent need for robust quality control (QC) methodologies to identify and select similar and functional LIG electrodes for sensor fabrication. For the first time, we have developed a statistical workflow and an open-source hierarchical clustering tool for QC analysis in LIG electrode fabrication. The QC process was challenged with multi-operator cyclic voltammetry (CV) data for bare and metalized LIG. As a proof of concept, we employed the developed QC process for laboratory-scale manufacturing of LIG-based biosensors. The study demonstrates that our QC process can rapidly identify similar LIG electrodes from large batches (n ≥ 36) of electrodes, leading to a reduction in biosensor measurement variation by approximately 13% compared to the control group without QC. The statistical workflow and open-source code presented here provide a versatile toolkit for clustering analysis, opening a pathway toward scalable manufacturing of LIG electrodes in sensing. In addition, we establish a data repository for further study of LIG variation.

A capacitive laser-induced graphene based aptasensor for SARS-CoV-2 detection in human saliva.

SARS-CoV-2 virus induced CoVID-19 pandemic has accelerated the development of diagnostic tools. Devices integrated with electrochemical biosensors may be an interesting alternative to respond to the high demand for testing, particularly in contexts where access to standard detection technologies is lacking. Aptamers as recognition elements are useful due to their stability, specificity, and sensitivity to binding target molecules. We have developed a non-invasive electrochemical aptamer-based biosensor targeting SARS-CoV-2 in human saliva. The aptamer is expected to detect the Spike protein of SARS-CoV-2 wildtype and its variants. Laser-induced graphene (LIG) electrodes coated with platinum nanoparticles were biofunctionalized with a biotin-tagged aptamer. Electrochemical Impedance Spectroscopy (EIS) for BA.1 sensing was conducted in sodium chloride/sodium bicarbonate solution supplemented with pooled saliva. To estimate sensing performance, the aptasensor was tested with contrived samples of UV-attenuated virions from 10 to 10,000 copies/ml. Selectivity was assessed by exposing the aptasensor to non-targeted viruses (hCoV-OC43, Influenza A, and RSV-A). EIS data outputs were further used to select a suitable response variable and cutoff frequency. Capacitance increases in response to the gradual loading of the attenuated BA.1. The aptasensor was sensitive and specific for BA.1 at a lower viral load (10-100 copies/ml) and was capable of discriminating between negative and positive contrived samples (with strain specificity against other viruses: OC43, Influenza A, and RSV-A). The aptasensor detected SARS-CoV-2 with an estimated LOD of 1790 copies/ml in contrived samples. In human clinical samples, the aptasensor presents an accuracy of 72%, with 75% of positive percent of agreement and 67% of negative percent of agreement. Our results show that the aptasensor is a promising candidate to detect SARS-CoV-2 during early stages of infection when virion concentrations are low, which may be useful for preventing the asymptomatic spread of CoVID-19.

An Experimental Framework for Developing Point-of-Need Biosensors: Connecting Bio-Layer Interferometry and Electrochemical Impedance Spectroscopy.

Biolayer interferometry (BLI) is a well-established laboratory technique for studying biomolecular interactions important for applications such as drug development. Currently, there are interesting opportunities for expanding the use of BLI in other fields, including the development of rapid diagnostic tools. To date, there are no detailed frameworks for implementing BLI in target-recognition studies that are pivotal for developing point-of-need biosensors. Here, we attempt to bridge these domains by providing a framework that connects output(s) of molecular interaction studies with key performance indicators used in the development of point-of-need biosensors. First, we briefly review the governing theory for protein-ligand interactions, and we then summarize the approach for real-time kinetic quantification using various techniques. The 2020 PRISMA guideline was used for all governing theory reviews and meta-analyses. Using the information from the meta-analysis, we introduce an experimental framework for connecting outcomes from BLI experiments (KD, kon, koff) with electrochemical (capacitive) biosensor design. As a first step in the development of a larger framework, we specifically focus on mapping BLI outcomes to five biosensor key performance indicators (sensitivity, selectivity, response time, hysteresis, operating range). The applicability of our framework was demonstrated in a study of case based on published literature related to SARS-CoV-2 spike protein to show the development of a capacitive biosensor based on truncated angiotensin-converting enzyme 2 (ACE2) as the receptor. The case study focuses on non-specific binding and selectivity as research goals. The proposed framework proved to be an important first step toward modeling/simulation efforts that map molecular interactions to sensor design.

Development of a Biosensor Based on Angiotensin-Converting Enzyme II for Severe Acute Respiratory Syndrome Coronavirus 2 Detection in Human Saliva.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the novel coronavirus responsible for COVID-19. Infection in humans requires angiotensin-converting enzyme II (hACE2) as the point of entry for SARS-CoV-2. PCR testing is generally definitive but expensive, although it is highly sensitive and accurate. Biosensor-based monitoring could be a low-cost, accurate, and non-invasive approach to improve testing capacity. We develop a capacitive hACE2 biosensor for intact SARS-CoV-2 detection in saliva. Laser-induced graphene (LIG) electrodes were modified with platinum nanoparticles. The quality control of LIG electrodes was performed using cyclic voltammetry. Truncated hACE2 was used as a biorecognition element and attached to the electrode surface by streptavidin-biotin coupling. Biolayer interferometry was used for qualitative interaction screening of hACE2 with UV-attenuated virions. Electrochemical impedance spectroscopy (EIS) was used for signal transduction. Truncated hACE2 binds wild-type SARS-CoV-2 and its variants with greater avidity than human coronavirus (common cold virus). The limit of detection (LoD) is estimated to be 2,960 copies/ml. The detection process usually takes less than 30 min. The strength of these features makes the hACE2 biosensor a potentially low-cost approach for screening SARS-CoV-2 in non-clinical settings with high demand for rapid testing (for example, schools and airports).

Development of a nanocopper-decorated laser-scribed sensor for organophosphorus pesticide monitoring in aqueous samples.

Organophosphorus pesticides are widely used in industrial agriculture and have been associated with water pollution and negative impacts on local ecosystems and communities. There is a need for testing technologies to detect the presence of pesticide residues in water sources, especially in developing countries where access to standard laboratory methods is cost prohibitive. Herein, we outline the development of a facile electrochemical sensor for amperometric determination of organophosphorus pesticides in environmental water samples. A three-electrode system was fabricated via UV laser-inscribing on a polyimide film. The working electrode was functionalized with copper nanoparticles with affinity toward organophosphate compounds. The sensor showed a limit of detection (LOD) of 3.42 ± 1.69 µM for glyphosate, 7.28 ± 1.20 µM for glufosinate, and 17.78 ± 7.68 µM for aminomethylphosphonic acid (AMPA). Sensitivity was highest for glyphosate (145.52 ± 36.73 nA⋅µM-1⋅cm-2) followed by glufosinate (56.98 ± 10.87 nA⋅µM-1⋅cm-2), and AMPA (30.92 ± 8.51 nA⋅µM-1⋅cm-2). The response of the sensor is not significantly affected by the presence of several ions and organic molecules commonly present in natural water samples. The developed sensor shows promising potential for facilitating environmental monitoring of organophosphorus pesticide residues, which is a current need in several parts of the world.

Context-Aware Diagnostic Specificity (CADS).

Rapid detection of proteins is critical in a vast array of diagnostic or monitoring applications [...].

Yeasts in native fruits from Brazilian neotropical savannah: occurrence, diversity and enzymatic potential / Leveduras em frutos nativos do Cerrado: ocorrência, diversidade e potencial enzimático

Cerrado is the second largest phytogeographic domain in Brazil, with a huge ethnobotany variety, including fruit species that stand out for their economic, industrial, biotechnological and medicinal potential. The objective of this study was to characterize the diversity of culturable yeasts and their potential for the production of hydrolytic enzymes in fruits of 13 species of native plants of the Cerrado in Brazil. Sequencing the 26S rRNA gene identified the isolates. The enzymatic potential was evaluated using specific substrates for the enzymes amylases, cellulases, proteases, and pectinases. Nine of the 13 fruit species analyzed showed yeast growth, totaling 82 isolates, identified in 26 species. The phylum Ascomycota predominated over Basidiomycota. The fruits of Butia capitata presented the highest species richness. Candida and Meyerozyma were the most frequent genera. About 57% of the isolates were able to produce at least one of the enzymes analyzed. The species Papiliotrema flavescens, Hanseniaspora meyeri, Meyerozyma guilliermondii, and Rhodotorula mucilaginosa produced all the enzymes tested. The results were found to expand the knowledge about the yeast communities present in fruits of the Cerrado native plants, evidencing the presence of species shared among the plants, and their potential for biotechnological use in the future.

O Cerrado é o segundo maior domínio fitogeográfico do Brasil, com grande variedade etnobotânica, incluindo espécies frutíferas que se destacam por seu potencial econômico, industrial, biotecnológico e medicinal. O objetivo deste trabalho foi caracterizar a diversidade de leveduras cultiváveis e seu potencial para a produção de enzimas hidrolíticas em frutos de 13 espécies de plantas nativas do Cerrado brasileiro. O sequenciamento do gene 26S rRNA identificou os isolados. O potencial enzimático foi avaliado utilizando substratos específicos para as enzimas amilases, celulases, proteases e pectinases. Nove das 13 espécies de frutos analisadas apresentaram crescimento de levedura, totalizando 82 isolados, identificados em 26 espécies. O filo Ascomycota predominou sobre Basidiomycota. Os frutos de Butia capitata apresentaram a maior riqueza de espécies. Candida e Meyerozyma foram os gêneros mais frequentes. Cerca de 57% dos isolados foram capazes de produzir pelo menos uma das enzimas analisadas. As espécies Papiliotrema flavescens, Hanseniaspora meyeri, Meyerozyma guilliermondii e Rhodotorula mucilaginosa produziram todas as enzimas testadas. Os resultados encontrados ampliam o conhecimento sobre as comunidades de leveduras presentes nos frutos das plantas nativas do Cerrado, evidenciando a presença de espécies compartilhadas entre as plantas, e seu potencial para uso biotecnológico no futuro.

Soil Yeast Communities in Revegetated Post-Mining and Adjacent Native Areas in Central Brazil.

Yeasts represent an important component of the soil microbiome. In central Brazil, mining activities are among the main anthropogenic factors that influence the dynamics of the soil microbiota. Few studies have been dedicated to analysis of tropical soil yeast communities, and even fewer have focused on Brazilian hotspots influenced by mining activity. The aim of the current study was to describe soil yeast communities in a post-mining site with revegetated and native areas, along Neotropical Savanna and Atlantic Forest biomes. Yeast communities were described using a culture-based method and estimator-based species accumulation curves, and their associations with environmental characteristics were assessed using multivariate analysis. The results indicate a greater species richness for yeast communities in the revegetated area. We identified 37 species describing 86% of the estimated richness according to Chao2. Ascomycetous yeasts dominated over basidiomycetous species. Candida maltosa was the most frequent species in two phytocenoses. Red-pigmented yeasts were frequent only in the summer. The main soil attributes affecting yeast communities were texture and micronutrients. In conclusion, each phytocenosis showed a particular assemblage of species as a result of local environmental phenomena. The species richness in a Revegetated area points to a possible ecological role of yeast species in environmental recovery. This study provided the first comprehensive inventory of soil yeasts in major phytocenoses in Minas Gerais, Brazil.

Efficacy of Trichoderma asperellum, T. harzianum, T. longibrachiatum and T. reesei against Sclerotium rolfsii / Eficácia de Trichoderma asperellum, T. harzianum, T. longibrachiatum E T. reesei contra Sclerotium rolfsii

This work was carried out to select and to evaluate efficacy of Trichoderma isolates to control sclerotium wilt (Sclerotium rolfsii) of common-bean (Phaseolus vulgaris). For the experiments were used two isolates of S. rolfsii UB 193 and UB 228. Sixty-five Trichoderma spp. isolates were tested and the following ones were selected in vitro for the in vivo tests: 5, 11, 12, 15, 102, 103, 127, 136, 137, 1525 (T. longibrachiatum), 1637 (T. reesei), 1642, 1643 (T. harzianum), 1649 (T. harzianum), 1700 (T. asperellum) and EST 5. The most promising isolates were identified by Sequencing of the internal transcribed spacer regions ITS1, ITS2, and the 5.8s rRNA genomic region, using the ITS5 and ITS4 primers and compared with sequences in the National Center for Biotechnology Information (NCBI) database. These selected isolates 1649 (T. harzianum), 1525 (T. longibrachiatum) and 1637 (T. reesei) were tested for evaluation of sclerotial germination inhibition under laboratory conditions, and to evaluate the effects of these on disease of bean plants under greenhouse conditions. The Trichoderma isolates 1649, 1525 and 1637 were more efficient in reducing sclerotial germination. In addition to 1649, 1525 and 1637, the isolates 5, 12, 102 and 1525 (T. longibrachiatum) significantly reduced de amount of diseased bean plants under greenhouse conditions.

O estudo teve como objetivo selecionar e testar isolados de Trichoderma spp. para o controle da murcha-por-esclerócio (Sclerotium rolfsii) em feijoeiro (Phaseolus vulgaris) em casa-de-vegetação. Nos ensaios realizados foram utilizados dois isolados de S. rolfsii (UB 193 e UB 228). Dos 65 isolados Trichoderma testados in vitro selecionaram-se os seguintes: 5, 11, 12, 15, 102, 103, 127, 136, 137, 1525 (T. longibrachiatum), 1637 (T. reesei), 1642 (T. longibrachiatum), 1643 (T. harzianum), 1649 (T. harzianum), 1700 (T. asperellum) e EST 5. Os isolados mais promissores foram identificados por sequenciamento das regiões genômicas ITS1, ITS2 e 5.8s rRNA, usando iniciadores ITS5 e ITS4, e então, tais sequencias foram comparadas com as sequências do banco de dados do "National Center for Biotechnology Information" (NCBI). Esses isolados foram avaliados quanto ao efeito sobre a germinação de esclerócios do patógeno em laboratório e sobre a doença em casa de vegetação. Os isolados 1649 (T. harzianum), 1525 (T. longibrachiatum) e 1637 (T. reesei) foram os mais eficientes na inibição da germinação de esclerócios de S. rolfsii em laboratório. Além dos isolado 1649, 1525 e 1637, os isolados 5, 12, 102 e 1525 (T. longibrachiatum) foram eficientes na redução da doença em plantas de feijoeiro em casa de vegetação.

Yeasts from native Brazilian Cerrado plants: Occurrence, diversity and use in the biocontrol of citrus green mould.

Yeasts are some of the most important postharvest biocontrol agents. Postharvest oranges frequently deteriorate due to green mould (Penicillium digitatum), which causes significant losses. The aims of this study were to determine the composition and diversity of yeasts on plants of the Brazilian Cerrado and to explore their potential for inhibiting citrus green mould. Leaves and fruit of Byrsonima crassifolia and Eugenia dysenterica were collected from Cerrado conservation areas, and thirty-five yeasts were isolated and identified by sequencing the D1-D2 domain of the rDNA large subunit (26S). The isolates represented the Aureobasidium, Meyerozyma, Candida, and Pichia genera. Three isolates identified as Aureobasidium pullulans exhibited potential for the control of P. digitatum in both in vitro and in vivo tests; these isolates reduced the incidence of disease and increased the storage time of fruit. Aureobasidium. pullulans has immense potential for the biological control of filamentous fungi.