Non-laboratory Settings Research Articles

Impacts of illegal trade on socio-emotional and behavioural skills in macaques

Decades of research have illuminated the consequences of early adverse rearing experiences in laboratory macaque populations. However, knowledge of the impact of traumatic episodes in non-laboratory settings remains limited. This study investigates the socio-emotional and behavioural impacts of illegal trade on five macaque species, all victims of poaching. We studied 53 focal subjects residing at the Lao Conservation Trust for Wildlife (LCTW), a former zoo converted into a rescue and rehabilitation centre. We categorised their past experiences into seven aspects, encompassing maternal care and interactions with conspecifics. We assessed social engagement and cooperation by analysing social behaviours and employing the Social Responsiveness Scale. Emotional resilience was evaluated by measuring anxiety levels and the occurrence of abnormal behaviours, supported by a welfare questionnaire. Additionally, the introduction of Cattell’s 16PF questionnaire in macaques for the first time aimed to reveal the influence of traumatic experiences on their personality traits. Our findings underscore the significance of early social exposure to conspecifics. Macaques deprived of juvenile social contact show reduced social behaviours and a tendency towards social avoidance in adulthood. Human-reared macaques display increased abnormal behaviours in social contexts, which compromises welfare. Social deprivation with conspecifics during infancy negatively affects psychological stimulation and overall welfare, with prolonged time in illegal trade correlating with increased anxiety levels. Personality traits, such as ‘Calmness’ and ‘Unfriendliness’, are shaped by rearing conditions, with macaques deprived of social interaction showing higher levels of introversion. In summary, the more time macaques spend in human care with minimal exposure to conspecifics, the more pronounced the impacts on anxiety, abnormal social behaviours, and personality traits, highlighting the significant long-term effects of early rearing conditions on their socio-emotional development.

Point-of-Care Diagnostics Using Self-heating Elements from Smart Food Packaging: Moving Towards Instrument-Free Nucleic Acid-Based Detection.

Compromising between accuracy and rapidity is an important issue in analytics and diagnostics, often preventing timely and appropriate reactions to disease. This issue is particularly critical for infectious diseases, where reliable and rapid diagnosis is crucial for effective treatment and easier containment, thereby reducing economic and societal impacts. Diagnostic technologies are vital in disease modeling, tracking, treatment decision making, and epidemic containment. At the point-of-care level in modern healthcare, accurate diagnostics, especially those involving genetic-level analysis and nucleic acid amplification techniques, are still needed. However, implementing these techniques in remote or non-laboratory settings poses challenges because of the need for trained personnel and specialized equipment, as all nucleic acid-based diagnostic techniques, such as polymerase chain reaction and isothermal nucleic acid amplification, require temperature cycling or elevated and stabilized temperatures. However, in smart food packaging, there are approved and commercially available methods that use temperature regulation to enable autonomous heat generation without external sources, such as chemical heaters with phase change materials. These approaches could be applied in diagnostics, facilitating point-of-care, electricity-free molecular diagnostics, especially with nucleic acid-based detection methods such as isothermal nucleic acid amplification. In this review, we explore the potential interplay between self-heating elements, isothermal nucleic acid amplification techniques, and phase change materials. This paves the way for the development of truly portable, electricity-free, point-of-care diagnostic tools, particularly advantageous for on-site detection in resource-limited remote settings and for home use.

Facilitating self-testing with a fast, accurate, and simplified shelf-stable colorimetric LAMP system for Mpox and SARS-CoV-2 detection

The rapid and accurate detection of viral infections is essential for effective disease management and prevention. Quantitative polymerase chain reaction (qPCR) remains the gold standard for viral detection due to its high sensitivity and specificity. However, its limitations—including the need for specialized equipment, trained personnel, and longer processing times—make it impractical for at-home or rapid testing. Although numerous point-of-care assays based on isothermal nucleic acid amplification have been developed, they often lack the simplicity and adaptability required for self-testing in non-laboratory settings such as at home. To address this, we developed and validated the SCOLAR (Shelf-stable Colorimetric LAMP system for Rapid self-testing of viruses) system, a simplified, portable, and accurate diagnostic tool designed for self-testing of Mpox and SARS-CoV-2 infections. The SCOLAR system employs novel lyophilized colorimetric loop-mediated isothermal amplification (LAMP) beads, a customized sample lysis buffer, and smartphone-assisted RGB color analysis for interpreting results. Validation was conducted using 24 mock Mpox skin swabs, 32 wastewater samples, and 104 clinical SARS-CoV-2 nasopharyngeal swabs, with comparisons to an in-house qPCR assay. The SCOLAR system demonstrated an analytical sensitivity of below 10 copies/μL for all targets within 15 min. Diagnostic performance for mock Mpox samples exhibited 93.8 % sensitivity and 100 % specificity, while wastewater samples achieved 100 % sensitivity and specificity. SARS-CoV-2 swabs had 96 % sensitivity and 100 % specificity. The system also proved effective for self-testing by untrained individuals. SCOLAR offers a reliable, easy-to-use platform for rapid self-testing, with potential for broader applications in public health strategies to enhance pandemic preparedness and response.

Composite activity type and stride-specific energy expenditure estimation model for thigh-worn accelerometry

BackgroundAccurately measuring energy expenditure during physical activity outside of the laboratory is challenging, especially on a large scale. Thigh-worn accelerometers have gained popularity due to the possibility to accurately detect physical activity types. The use of machine learning techniques for activity classification and energy expenditure prediction may improve accuracy over current methods. Here, we developed a novel composite energy expenditure estimation model by combining an activity classification model with a stride specific energy expenditure model for walking, running, and cycling.MethodsWe first trained a supervised deep learning activity classification model using pooled data from available adult accelerometer datasets. The composite energy expenditure model was then developed and validated using additional data based on a sample of 69 healthy adult participants (49% female; age = 25.2 ± 5.8 years) who completed a standardised activity protocol with indirect calorimetry as the reference measure.ResultsThe activity classification model showed an overall accuracy of 99.7% across all five activity types during validation. The composite model for estimating energy expenditure achieved a mean absolute percentage error of 10.9%. For running, walking, and cycling, the composite model achieved a mean absolute percentage error of 6.6%, 7.9% and 16.1%, respectively.ConclusionsThe integration of thigh-worn accelerometers with machine learning models provides a highly accurate method for classifying physical activity types and estimating energy expenditure. Our novel composite model approach improves the accuracy of energy expenditure measurements and supports better monitoring and assessment methods in non-laboratory settings.

Biosensing platforms for DNA diagnostics based on CRISPR/Cas nucleases: towards the detection of nucleic acids at the level of single molecules in non-laboratory settings.

The use of CRISPR/Cas nucleases for the development of DNA diagnostic systems in out-of-laboratory conditions (point-of-need testing, PONT) has demonstrated rapid growth in the last few years, starting with the appearance in 2017-2018 of the first diagnostic platforms known as DETECTR and SHERLOCK. The platforms are based on a combination of methods of nucleic acid isothermal amplification with selective CRISPR/Cas detection of target amplicons. This significantly improves the sensitivity and specificity of PONT, making them comparable with or even superior to the sensitivity and specificity of polymerase chain reaction, considered as the "gold standard" of DNA diagnostics. The review considers modern approaches to the coupling of CRISPR/Cas detection using Cas9, Cas12a, Cas12b, Cas13a, Cas14, and Cas3 nucleases to various methods of nucleic acid isothermal amplification, with an emphasis on works in which sensitivity at the level of single molecules (attomolar and subattomolar concentrations of the target) is achieved. The properties of CRISPR/Cas nucleases used for targeted DNA diagnostics and the features of methods of nucleic acid isothermal amplification are briefly considered in the context of the development of diagnostic biosensing platforms. Special attention is paid to the most promising directions for the development of DNA diagnostics using CRISPR/Cas nuclease.

Evaluation of rapid diagnostic test kits for detection of Treponema pallidum antibody.

Rapid syphilis testing plays a crucial role in global health strategies, addressing the urgent need for prompt and accurate diagnostics, especially in settings with limited resources. Despite their practical utility, these tests often lack thorough validation, leading to concerns about their efficacy and reliability. This study aims to evaluate two prototypes of the Onsite Syphilis Ab Combo Rapid Test (Fd and Ff) and compare their performance with the established chemiluminescent microparticle immunoassay (CMIA) method. Employing a reverse algorithm approach, the study analyzed 450 serum samples, including those from syphilis patients, healthy individuals, and cases with potential cross-reactions. Results of the rapid test kit were then correlated with CMIA findings, RPR, and TPPA titers. The results showed that prototype Fd exhibited a sensitivity of 100.0%, specificity of 98.8%, positive predictive value (PPV) of 8.4%, negative predictive value (NPV) of 100.00% and accuracy of 98.8%. Similarly, prototype Ff exhibited sensitivity of 100.0%, but with a slightly higher specificity of 99.6%, PPV of 21.5%, NPV of 100.0% and accuracy of 99.6%. Moreover, both prototypes Fd and Ff of the Onsite Syphilis Ab Combo Rapid Test demonstrated significant efficacy diagnostic tool, offering clear and straightforward interpretation for clinicians in varied CMIA, RPR and TPPA titer scenarios. The Onsite Syphilis Ab Combo Rapid Test prototypes, Fd and Ff, demonstrated high sensitivity and specificity, comparable to CMIA methods. The effectiveness highlights their suitability for syphilis screening, particularly in non-laboratory settings or situations requiring immediate results. The validation of these prototypes supports their integration into current syphilis diagnostic algorithms, potentially contributing to improved public health outcomes.

A SERS-based point-of-care testing approach for efficient determination of diquat and paraquat residues using a flexible silver flower-coated melamine sponge

Diquat (DQ) and paraquat (PQ) residues in food are potential hazards to consumers' health. Point-of-care testing (POCT) of them remains challenging. Based on surface-enhanced Raman spectroscopy (SERS) technology, we developed a POCT strategy for DQ and PQ on apple surface and in apple juice. A point-of-use composite was fabricated using a piece of porous melamine sponge (MS) modified with silver nanoflowers (AgNFs), combining the specificity of the SERS fingerprint and the excellent adsorption capacity of MS. Using this dual-functional AgNFs@MS, the on-site determination of the DQ and PQ residues was completed within 3 min without pretreatment. Clear trends were observed between SERS intensity and logarithmic concentrations, with r values from 0.962 to 0.984. The limit of detection of DQ and PQ were 0.14–0.70 ppb in apple juice and on apple surface. This study provides a new point-of-use alternative for rapidly detecting DQ and PQ residues in nonlaboratory settings.

Species-Specific quantification of bioactive boswellic acids in Boswellia resin using NIR spectroscopy, HPLC and Multivariate data analysis

The bioactive compounds Acetyl-11-keto-β-boswellic acid (AKBA) and 11-keto-β-boswellic acid (KBA), found in the resin of the Boswellia tree, exhibit anti-inflammatory properties, rendering Boswellia resin an intriguing natural medicinal products. However, the content of boswellic acids varies across different Boswellia species and proper knowledge of its species-dependent nature, as well as alternatives to the resource- and time-intensive HPLC analysis, are lacking. Here we present a comprehensive investigation into the boswellic acid content of seven Boswellia species from ten countries and introduce a novel and non-destructive Near-Infrared spectroscopy method for predicting boswellic acid concentrations in solid resin samples. The HPLC-UV reference analysis revealed AKBA concentrations of up to 7.27 % (w/w) with KBA concentrations reaching up to 1.28 % (w/w). Principal Component Analysis of the HPLC and NIR spectroscopy data unveiled species-specific variations, facilitating differentiation based on boswellic acid content, characteristic chromatograms and NIR spectra. Using the HPLC-UV quantification as reference, we developed a Partial Least Squares regression model based on NIR spectra of the resin samples. This model demonstrated highly satisfactory predictive capabilities for AKBA content, achieving a root mean square error of prediction of 0.74 % (w/w) and an R2val of 0.79 in independent test set validation. Although the model was less effective for predicting KBA content, it still offered valuable estimates. The spectroscopic method introduced in this study provides a cost-effective and solvent-free approach for predicting boswellic acid content, demonstrating the potential for application in non-laboratory settings through the use of miniaturized NIR spectrometers. Consequently, this method aligns well with the principles of green chemistry and addresses the growing demand for alternative analytical techniques.

Beyond gait speed: exploring the added value of Inertial Measurement Unit-based measurements of gait in the estimation of the walking ability in daily life.

Gait speed is often used to estimate the walking ability in daily life in people after stroke. While measuring gait with inertial measurement units (IMUs) during clinical assessment yields additional information, it remains unclear if this information can improve the estimation of the walking ability in daily life beyond gait speed. We evaluated the additive value of IMU-based gait features over a simple gait-speed measurement in the estimation of walking ability in people after stroke. Longitudinal data during clinical stroke rehabilitation were collected. The assessment consisted of two parts and was administered every three weeks. In the first part, participants walked for two minutes (2MWT) on a fourteen-meter path with three IMUs attached to low back and feet, from which multiple gait features, including gait speed, were calculated. The dimensionality of the corresponding gait features was reduced with a principal component analysis. In the second part, gait was measured for two consecutive days using one ankle-mounted IMU. Next, three measures of walking ability in daily life were calculated, including the number of steps per day, and the average and maximal gait speed. A gait-speed-only Linear Mixed Model was used to estimate the association between gait speed and each of the three measures of walking ability. Next, the principal components (PC), derived from the 2MWT, were added to the gait-speed-only model to evaluate if they were confounders or effect modifiers. Eighty-one participants were measured during rehabilitation, resulting in 198 2MWTs and 135 corresponding walking-performance measurements. 106 Gait features were reduced to nine PCs with85.1% explained variance. The linear mixed models demonstrated that gait speed was weakly associated with the average and maximum gait speed in daily life and moderately associated with the number of steps per day. The PCs did not considerably improve the outcomes in comparison to the gait speed only models. Gait in people after stroke assessed in a clinical setting with IMUs differs from their walking ability in daily life. More research is needed to determine whether these discrepancies also occur in non-laboratory settings, and to identify additional non-gait factors that influence walking ability in daily life.

Portable SERS-Based POCT Kit for Ultrafast and Sensitive Determining Paraquat in Human Gastric Juice and Urine.

Paraquat (PQ) poisoning poses a significant public health concern. Unfortunately, point-of-care testing (POCT) of PQ in biofluids remains challenging. This study developed a portable kit that enables swift and reliable identification and quantification of PQ in human urine and gastric juice. The approach employed the surface-enhanced Raman scattering (SERS) technique, leveraging gold-silver core-shell nanoparticles (Au@Ag NPs) as the substrate. The kit comprised a portable Raman spectrometer and three sealed tubes containing Au@Ag NPs colloid, KI solution, and MgSO4 solution. A discernible correlation was observed between signal intensity and the logarithmic concentration, spanning from 5 to 500 μg/L in urine and 10 μg/L to 1 mg/L in gastric juice. The detection limits, calculated from the characteristic peak at 1648 cm -1, were 1.36 and 4.05 μg/L in human urine and gastric juice, respectively. Notably, this POCT kit obviated the need for pretreatment procedures, and the detection process was accomplished within 1 min, yielding satisfactory recoveries. This expeditious time frame is crucial for clinical diagnosis and rescue operations. Compared to conventional methods, this kit demonstrated real-time determinations in nonlaboratory settings. The simplicity and practicality of this POCT assay suggest its significant potential as an innovative alternative for poisoning detection applications.

Spatiotemporal walking performance in different settings: effects of walking speed and sex.

Understanding the factors that influence walking is important as quantitative walking assessments have potential to inform health risk assessments. Wearable technology innovation has enabled quantitative walking assessments to be conducted in different settings. Understanding how different settings influence quantitative walking performance is required to better utilize the health-related potential of quantitative walking assessments. How does spatiotemporal walking performance differ during walking in different settings at different speeds for young adults? Forty-two young adults [21 male (23 ± 4 years), 21 female (24 ± 5 years)] walked in two laboratory settings (overground, treadmill) and three non-laboratory settings (hallway, indoor open, outdoor pathway) at three self-selected speeds (slow, preferred, fast) following verbal instructions. Six walking trials of each condition (10 m in laboratory overground, 20 m in other settings) were completed. Participants wore 17 inertial sensors (Xsens Awinda, Movella, Henderson, NV) and spatiotemporal parameters were computed from sensor-derived kinematics. Setting × speed × sex repeated measures analysis of variance were used for statistical analysis. Regardless of the speed condition, participants walked faster overground when compared to while on the treadmill and walked faster in the indoor open and outdoor pathway settings when compared to the laboratory overground setting. At slow speeds, participants also walked faster in the hallway when compared to the laboratory overground setting. Females had greater cadence when compared to males, independent of settings and speed conditions. Particularly at slow speeds, spatiotemporal walking performance was different between the settings, suggesting that setting characteristics such as walkway boundary definition may significantly influence spatiotemporal walking performance.

IMU- and TENS-based work and power calculation methods in hip flexion resistance training

Purpose: The study is the first part of a series presenting the primary results of multijoint hip flexion resistance training biomechanical investigation. The series evaluates the exercise in the context of possible implementation in hip flexors shortening and hypertension. The described exercise was designed to use muscle hypertrophy as a solution for pelvis stabilizing muscles’ imbalance. This study aims to evaluate the work performed and power generated during hip flexion resistance training using two established methods and investigate the potential of IMU sensors as a cost-effective tool for measuring individual performance and progress in non-laboratory settings. Methods: The study was conducted with the use of training equipment constructed according to patent P.435615 allowing for the application of downward directed force to feet while performing hip flexion. Thirteen healthy students (7 females and 6 males, body-height 176.00 ± 12.54 cm, body-mass 73.69 ± 18.08 kg, age: 21.77 ± 1.09 years) took part in the training session using three different additional loads (0, 2.5, and 5 kg). Techniques applied in the study included optical kinematics capture, strain gauges, and inertial sensors. Results: The average work of (TENS/IMU) were 56.57 ± 12.00 / 58.13 ± 13.07 - 76.54 ± 13.88 / 74.40 ± 13.93 J and an average power of 23.22 ± 6.43 / 23.65 ± 7.12 - 31.51 ± 9.42 / 31.62 ± 10.60 W were calculated for the additional load of 0 kg and 5 kg respectively. The correlation between values calculated with two tested methods was high both for power (R= .85 P< .001) and work (R= .86 P< .001). Conclusions: Referenced data indicate a good correlation between the two methods but prove the need for further improvement of IMU-based method precision. It also allowed to determine a potential baseline of 15kg additional load for 1RM tests maximal value.

Rapid and sensitive on-site detection of SARS-CoV-2 RNA from environmental surfaces using portable laboratory devices.

Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA on inanimate surfaces plays a crucial role in environmental surveillance, enabling the indirect detection of infected individuals and facilitating rapid infection control responses. However, developing a practical on-site, end-to-end method for detection remains a challenge. In this study, we established protocols for on-site detection of SARS-CoV-2 RNA on surfaces using two portable laboratory devices: The PicoGene PCR1100 and Bento Lab. Test particles comprised of inactivated viral particles containing partial sequences of SARS-CoV-2, type 1 poliovirus, coxsackie virus A16, and norovirus genogroups I and II were applied to reference materials as simulated contaminants. The direct detection method with the PicoGene PCR1100 achieved a recovery efficiency of 35.1% for the dried reference material. Furthermore, the Bento Lab, equipped with a microcentrifuge for on-site RNA purification, successfully detected a low concentration of inactivated SARS-CoV-2 reference standard. The recovery efficiency of the on-site RNA purification method on plastic, stainless steel, glass, and polyvinyl chloride surfaces ranged from 15.5% to 21.2%. Through the combination of these portable devices, SARS-CoV-2 RNA was detected within 1 h of swab sampling. This study contributes to the on-site risk assessment of infectious diseases by enabling the rapid detection of viral genomes. IMPORTANCE This study presents the development of a highly sensitive on-site method for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA on various surfaces, including doorknobs and tables. Identifying SARS-CoV-2 RNA on these surfaces can be crucial in guiding decision-making for implementing non-pharmaceutical interventions, such as zoning strategies, improving ventilation, maintaining physical distancing, and promoting increased hand hygiene practices. Moreover, the on-site detection system can facilitate the swift initiation of mitigation responses in non-laboratory settings, including long-term care facilities and schools. The protocols established in this study offer a comprehensive approach for achieving both sensitivity and rapidity in on-site SARS-CoV-2 RNA detection. Furthermore, since the RT-qPCR assay serves as the gold standard for detecting viral RNAs, the developed protocol holds potential for application to other viruses, including enteroviruses and noroviruses.

Paper-Based All-in-One Origami Nanobiosensor for Point-of-Care Detection of Cardiac Protein Markers in Whole Blood.

Rapid and accurate diagnosis of cardiovascular diseases (CVDs) at the earliest stage is of paramount importance to improve the treatment outcomes and avoid irreversible damage to a patient's cardiovascular system. Microfluidic paper-based devices (μPADs) represent a promising platform for rapid CVD diagnosis at the point of care (POC). This paper presents an electrochemical μPAD (E-μPAD) with an all-in-one origami design for rapid and POC testing of cardiac protein markers in whole blood. Based on the label-free, electrochemical impedance spectroscopy (EIS) immunoassay, the E-μPAD integrates all essential components on a single chip, including three electrochemical cells, a plasma separation membrane, and a buffer absorption pad, enabling easy and streamlined operations for multiplexed detection of three cardiac protein markers [cardiac troponin I (cTnI), brain natriuretic peptide (BNP)-32, and D-Dimer] on a finger-prick whole blood sample within 46 min. Superior analytical performance is achieved through sensitive EIS measurement on carbon electrodes decorated with semiconductor zinc oxide nanowires (ZnO NWs). Using spiked human plasma samples, ultralow limits of detection (LODs) of E-μPAD are achieved at 4.6 pg/mL (190 fM) for cTnI, 1.2 pg/mL (40 fM) for BNP-32, and 146 pg/mL (730 fM) for D-Dimer. Real human blood samples spiked with purified proteins are also tested, and the device's analytical performance was proven to be comparable to commercial ELISA kits. The all-in-one E-μPAD will allow rapid and sensitive testing of cardiac protein markers through easy operations, which holds great potential for on-site screening of acute CVDs in nonlaboratory settings such as emergency rooms, doctor's offices, or patient homes.

Rapid and user-friendly detection of selenium-rich foods using a THEATER colorimetric device with Pt-Co-N-C as viewing glasses

The consumption of Se-rich foods is a highly effective means of augmenting a person’s intake of Se, which plays a critical role in human health; however, excessive Se consumption can be toxic. The determination of Se levels is therefore of paramount importance to ensure the safety of both the production and consumption of selenium-rich foods. In this study, a rapid and user-friendly method is developed for the analysis of selenium-rich foods wherein the detection process is similar to watching three-dimensional movies in a theater. A portable 3D-printed colorimetric device called the Detection THEATER (Time-saving, High-sensitive, Easy, Accurate, Telling, Economical, and Rapid) is first constructed for the rapid and visually accessible colorimetric analysis of samples in nonlaboratory settings. Subsequently, the Co-N-C nanozyme is doped with Pt to produce a Pt-Co-N-C nanozyme with superior peroxidase-like activity, which serves as the viewing glasses for signal amplification in the Detection THEATER. The Detection THEATER exhibits excellent sensitivity and accuracy, including a linear range of 0.5–1.2 μg/mL and a low detection limit of 0.026 μg/mL. The pretreatment of food samples is also optimized and simplified, thereby reducing processing times three-fold and enhancing accessibility and usability. The Pt-Co-N-C nanozyme-based Detection THEATER, demonstrated outstanding specificity and practicality, opening up a new avenue for the analysis of selenium-rich foods.

Instrumented treadmill for run biomechanics analysis: a comparative study.

This study aims compare the spatiotemporal and kinematic running parameters obtained by the WalkerView (Tecnobody, Bergamo, Italy) with those recorded by a optoelectronic 3D motion capture system. Seventeen participants were simultaneously recorded by the WalkerView and a motion capture system during running tests on the WalkerView at two different speeds (i.e.,8 km/h and 10 km/h). Per each parameter and speed the Root Mean Square Error (RMSE), the intraclass correlation coefficient (ICC), and the mean of the difference (MOD) and limits of agreement (LOAs) indexes obtained from Bland-Altman analysis were used to compare the two systems. ICCs show an excellent agreement for the mean step time and the cadence at both testing speeds (ICC=0.993 at 8 km/h; ICC=0.998 at 10 km/h); a lower agreement was found for all the kinematic variables. Small differences for some spatio-temporal parameters and greater differences for the kinematic variables were found. Therefore, WalkerView could represent a practical, accessible, and less expensive tool for clinicians, researchers, and sports trainers to assess the characteristics spatio-temporal parameters of running in non-laboratory settings.

Finger gesture recognition with smart skin technology and deep learning

Finger gesture recognition (FGR) was extensively studied in recent years for a wide range of human-machine interface applications. Surface electromyography (sEMG), in particular, is an attractive, enabling technique in the realm of FGR, and both low and high-density sEMG were previously studied. Despite the clear potential, cumbersome electrode wiring and electronic instrumentation render contemporary sEMG-based finger gestures recognition to be performed under unnatural conditions. Recent developments in smart skin technology provide an opportunity to collect sEMG data in more natural conditions. Here we report on a novel approach based on soft 16 electrode array, a miniature and wireless data acquisition unit and neural network analysis, in order to achieve gesture recognition under natural conditions. FGR accuracy values, as high as 93.1%, were achieved for 8 gestures when the training and test data were from the same session. For the first time, high accuracy values are also reported for training and test data from different sessions for three different hand positions. These results demonstrate an important step towards sEMG based gesture recognition in non-laboratory settings, such as in gaming or Metaverse.

Rapid identification and quantification of diquat in biological fluids within 30 s using a portable Raman spectrometer

Rapid detection of diquat (DQ) is essential in clinical diagnosis and rescue. Here, we developed a fast, simple-yet-practical detection strategy for the reliable identification and quantification of DQ in biological fluids. Based on surface-enhanced Raman spectroscopy (SERS), point-of-care detection was realized under the acidic condition with gold nanoparticles as the substrate. Under optimal experimental conditions, the detection limits of the strategy were 17.5 ppb and 1.99 ppm in human urine and gastric juice, respectively. High specificity and selectivity of the SERS strategy were demonstrated using common pesticides and coexisting biological substances. The method was also used to detect biofluids from 5 patients and urine samples from 10 healthy volunteers. The results were in high agreement with spectrophotometric and clinical liquid chromatography-mass spectrometry methods. The volume of urine samples required for this technique is merely 20 μL, and no preparation of the samples is required. Compared to traditional methods used in clinical settings, SERS-based methods are capable of real-time measurements that accurately provide rapid detection and response in non-laboratory settings, with great potential for on-site and point-of-care testing.

Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing.

Nonlinear measures have increasingly revealed the quality of human movement and its behaviour over time. Further analyses of human movement in real contexts are crucial for understanding its complex dynamics. The main objective was to identify and summarize the nonlinear measures used in data processing during out-of-laboratory assessments of human movement among healthy adolescents. Summarizing the methodological considerations was the secondary objective. The inclusion criteria were as follows: According to the Population, Concept, and Context (PCC) framework, healthy teenagers between 10 and 19 years old that reported kinetic and/or kinematic nonlinear data-processing measurements related to human movement in non-laboratory settings were included. PRISMA-ScR was used to conduct this review. PubMed, Science Direct, the Web of Science, and Google Scholar were searched. Studies published between the inception of the database and March 2022 were included. In total, 10 of the 2572 articles met the criteria. The nonlinear measures identified included entropy (n = 8), fractal analysis (n = 3), recurrence quantification (n = 2), and the Lyapunov exponent (n = 2). In addition to walking (n = 4) and swimming (n = 2), each of the remaining studies focused on different motor tasks. Entropy measures are preferred when studying the complexity of human movement, especially multiscale entropy, with authors also carefully combining different measures, namely entropy and fractal analysis.

Colorimetric Detection of Antimicrobial Resistance from Food Processing Facilities Using a CRISPR System

The overuse of antibiotics has led to considerable increases of antibiotic resistance genes (ARGs) that have spread throughout the entire food supply chain. ARGs often transfer from processing facilities to food, causing major public health concerns. The current standard for detecting ARGs typically depends on quantitative polymerase chain reaction (qPCR) and gene sequencing. However, the reliance on experienced personnel and complicated readout equipment substantially inhibits the expansion of ARGs testing in nonlaboratory settings. Improved on-site testing will help monitor the spread of ARGs contamination to ensure food safety and address public health concerns. Herein, we developed a CRISPR-Cas12a-based assay for the colorimetric detection of ARGs in washing water collected from a food processing plant. In our assay, DNA-functionalized gold nanoparticles (AuNPs) were cross-linked with a ssDNA cross-linker. Target-induced Cas12a trans-cleavage was utilized for degradation of the cross-linkers, shifting the optical properties of the AuNPs to produce a facile visual readout. Without DNA amplification, we were able to detect three representative ARGs with a detection limit of 5 nM or lower. In addition, our assay was extended to a more complex medium, where as few as 103 gene copies in washing water from a fruit washing facility were visually detected. Based on our results, our method is both highly specific and sensitive. Due to the affordability and simplicity of our assay, this method can improve ARGs detection to monitor and prevent the immense spread of antimicrobial resistance among the food supply chain.