Portable Detection Instrument Research Articles

One-step detection of nanoplastics in aquatic environments using a portable SERS chessboard substrate

Nanoplastics present a significant hazard to both the environment and human health. However, the development of rapid and sensitive analysis techniques for nanoplastics is limited by their small size, lack of specificity, and low concentrations. In this study, a surface-enhanced Raman scattering (SERS) chessboard substrate was introduced as a multi-channel platform for the pre-concentration and detection of nanoplastics, achieved by polydomain aggregating silver nanoparticles (PASN) on a hydrophilic and a punched hydrophobic PVDF combined filter membrane. Through a straightforward suction filtration process, nanoplastics were captured by the PASN gap in a single step for subsequent SERS detection, while excess moisture was promptly eliminated from the filter membrane. The PASN-based SERS chessboard substrate, benefiting from the enhanced electromagnetic (EM) field, effectively discriminated polystyrene (PS) nanoplastics ranging in size from 30 nm to 1000 nm. Furthermore, this substrate demonstrated favorable repeatability (RSD of 8.6 %), high sensitivity with a detection limit of 0.001 mg/mL for 100 nm of PS nanoplastics, and broad linear detection ranges spanning from 0.001 to 0.5 mg/mL (R2 = 0.9916). Additionally, the SERS chessboard substrate enabled quantitative analysis of nanoplastics spiked in tap and lake water samples. Notably, the entire pre-concentration and detection procedure required only 3 μL of sample and could be completed within 1 min. With the accessibility of portable detection instruments and the ability to prepare substrates on demand, the PASN-based SERS chessboard substrate is anticipated to facilitate the establishment of a comprehensive global nanoplastics map.

Surface-Immobilized Ionophore Electric-Double-Layer (EDL) Extended-Gate Field-Effect Transistors for High Sensitivity to Detection of Mercury and Lead Ions

In the field of sensors, particularly in FETs (Field-Effect Transistors), they have emerged as a promising solution for detecting heavy metal ions. These sensors offer high sensitivity, rapid response, compact and portable device sizes, and the potential for low cost. These advantages have led to their successful application in monitoring drinking water, environmental samples, and industrial wastewater, enabling rapid on-site detection of heavy metal ions.At the molecular level, certain organic molecules or coordination compounds can selectively bind to specific ions through specific chemical reactions or coordination interactions. Therefore, designing ionophores specifically for capturing or transporting particular types of ions is possible. Previous research has employed the mechanism of Ion Selective Membranes (ISM) for detecting heavy metals. However, ISMs are typically polymer coatings applied through spinning, resulting in a thick layer that leads to longer diffusion times, requiring 15 minutes or more to achieve baseline stability, with a detection limit of µM to nM .Many studies have also utilized aptamers for detecting metal ions, but aptamers are typically expensive and require controlled formation of specific structures to bind with ions. They are susceptible to interference signals from pH value or salt concentrations.In environmental or food samples, the presence of heavy metals often needs to be detected. Electric-Double-layer (EDL) sensors exhibit better stability, with a monolayer recognition layer providing shorter detection times and higher sensitivity. This study successfully developed FET (Field-Effect Transistor) metal ionophores based on a specially designed ionophore with a double-layer expanded gate, including mercury ionophore sensors and lead ionophore sensors. By defining a gate sensing area with dimensions of 500 μm x 500 μm, significant detection limits of nM to pM were achieved within minutes. The combination of FETs, EDL, and ionophores in this study's development has resulted in highly efficient, sensitive, selective, and portable detection instruments. Keywords: MOSFET, EDL, Aptamer, Ionophore, Heavy metal Figure 1

Portable Protein and Fat Detector in Milk Based on Multi-Spectral Sensor and Machine Learning

To address the challenges of a long measurement period, high testing cost, and environmental pollution of traditional milk composition detection methods, a portable detection instrument was developed by combining multi-spectral sensors, machine learning algorithms, and an embedded system to rapidly detect the main components of milk. A broadband near-infrared (NIR) LED constant-current driver circuit and multi-spectral sensor module were designed to obtain six NIR features of milk samples. Based on a comparison of several machine learning algorithms, the XGBoost model was selected for training, and the trained model was ported to a Raspberry Pi unit for sample detection. The validation results showed that the coefficients of determination (R2) for the investigated protein and fat models were 0.9816 and 0.9978, respectively, and the corresponding mean absolute errors (MAE) were 0.0086 and 0.0079. Accurate measurement of protein and fat contents of milk can be facilitated in a short time interval by using the proposed low-cost portable instrument.

SARS-CoV-2 detection using reverse transcription strand invasion based amplification and a portable compact size instrument

Rapid nucleic-acid based tests that can be performed by non-professionals outside laboratory settings could help the containment of the pandemic SARS-CoV-2 virus and may potentially prevent further widespread lockdowns. Here, we present a novel compact portable detection instrument (the Egoo Health System) for extraction-free detection of SARS-CoV-2 using isothermal reverse transcription strand invasion based amplification (RT-SIBA). The SARS-CoV-2 RT-SIBA assay can be performed directly on crude oropharyngeal swabs without nucleic acid extraction with a reaction time of 30 min. The Egoo Health system uses a capsule system, which is automatically sealed tight in the Egoo instrument after applying the sample, resulting in a closed system optimal for molecular isothermal amplification. The performance of the Egoo Health System is comparable to the PCR instrument with an analytical sensitivity of 25 viral RNA copies per SARS-CoV-2 RT-SIBA reaction and a clinical sensitivity and specificity between 87.0–98.4% and 96.6–98.2% respectively.

A portable system for isothermal amplification and detection of exosomal microRNAs

Exosomal microRNAs (miRNAs) play a key role in cell-cell communication to regulate gene expression in target cells and have great potential as biomarkers for disease diagnosis. This paper reports an on-chip exosomal miRNA amplification and detection system for rapid analysis of exosomal miRNAs. The compact system consists of two connected flow cells for processing exosomes and detecting miRNAs, respectively. The miRNAs extracted from exosomes were quantitatively measured using the on-chip exponential amplification reaction (EXPAR) assay. The sensor chip was designed to store multiple oligonucleotide templates for the EXPAR, mix sample and reagent, and simultaneously analyze multiple exosomal miRNAs of interest. To facilitate the miRNA analysis, a portable detection instrument was built on an IoT platform using a low-cost microcontroller to execute the EXPAR assay, collect fluorescent images, and analyze amplification curves. Here, we studied the miRNA profiles carried by exosomes derived from three different phenotypes of tissue macrophages. The affordable instrument, rapid assay, multiplexed analysis, as well as disposable sensor chip, would boost the development of point-of-care liquid biopsy tests using exosomal miRNAs.

Single-step, wash-free digital immunoassay for rapid quantitative analysis of serological antibody against SARS-CoV-2 by photonic resonator absorption microscopy

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the cause of Coronavirus Disease 2019 (COVID-19), poses extraordinary threats and complex challenges to global public health. Quantitative measurement of SARS-CoV-2 antibody titer plays an important role in understanding the patient-to-patient variability of immune response, assessing the efficacy of vaccines, and identifying donors for blood transfusion therapy. There is an urgent and ever-increasing demand for serological COVID-19 antibody tests that are highly sensitive, quantitative, rapid, simple, minimally invasive, and inexpensive. In this work, we developed a single-step, wash-free immunoassay for rapid and highly sensitive quantitative analysis of serological human IgG against SARS-CoV-2 which requires only a single droplet of serum. By simply incubating 4 μL human serum samples with antibody-functionalized gold nanoparticles, a photonic crystal optical biosensor coated with the recombinant spike protein serves as a sensing platform for the formation of sandwich immunocomplex through specific antigen–antibody interactions, upon which the detected IgG molecules can be counted with digital precision. We demonstrated a single-step 15-min assay capable of detecting as low as 100 pg mL−1 human COVID-19 IgG in serum samples. The calculated limit of detecting (LOD) and limit of quantification (LOQ) is 26.7 ± 7.7 and 32.0 ± 8.9 pg mL−1, respectively. This work represents the first utilization of the Activate Capture + Digital Counting (AC + DC)-based immunoassay for rapid and quantitative analysis of serological COVID-19 antibody, demonstrating a route toward point-of-care testing, using a portable detection instrument. On the basis of the sandwich immunoassay principle, the biosensing platform can be extended for the multiplexed detection of antigens, additional IgGs, cytokines, and other protein biomarkers.

Development and application of monoclonal antibodies anti-human lipoprotein-associated phospholipase A2

The aim of this study is to prepare monoclonal anti-human Lp-PLA2 antibodies, and establish a rapid and accurate immunochromatographic Lp-PLA2 assay used in community medical institution. The gene sequence of human Lp-PLA2 was obtained from NCBI to construct the expression plasmid. Lp-PLA2 protein expressed in CHO-K1 cells was used to immune BALB/c mice. The monoclonal antibodies were produced in mouse ascites after hybridoma cells screening. Antibodies were evaluated by SDS-PAGE, ELISA and other methods. The Lp-PLA2 test strip was prepared based on sandwich method and evaluated with the portable detection instrument. The affinity of the paired antibodies, PLA1 and PLA5, both reached 1×10⁻⁸. The antibody subclass was IgG1. Both antibodies recognized the Lp-PLA2 protein in the blood specifically. The Lp-PLA2 test strip was prepared based on sandwich method, with linear range of 20-2000 ng/mL. The Lp-PLA2 test strip correlated well with the diaDexus ELISA test kit. In conclusion, the paired antibodies were successfully prepared with high affinity and specificity. The immunochromatographic test of Lp-PLA2 provided a fast and accurate method to detect the concentration of Lp-PLA2 in blood sample for clinical use in the community medical institution and could contribute to the management of cardiovascular diseases.

A Novel Solution-auto-introduction Electrophoresis Microchip Based on Capillary Force.

A novel solution-auto-introduction electrophoresis microchip based on capillary force aimed at improving portability is proposed in this paper. Two kinds of materials with micropores, poly(vinyl alcohol) (PVA)-sponge and nano-sponge, were employed as suction pumps that realized the introduction of a running buffer into the reservoirs. The surfaces of the microchannels in the microchips were modified by PVA to improve the moving velocity of the running buffer and the detection performance of the microchip. The introduction velocity of a running buffer in the PVA-coated microchannels was increased by two times compared with that in the native microchannels. The electrophoresis detection performance of several microchips composed of different microchannels and suction materials were evaluated comparatively. The results indicated that the surface coating of PVA can significantly improve the repeatability of the detection results by 20 - 40%, and the noise of the detected signals in the PVA-coated microchips is much lower than that in the native microchips. The proposed solution-auto-introduction electrophoresis microchip is a successful attempt that completely avoids the external connectors to accomplish the auto-introduction of running buffer. The solution-auto-introduction method provides a new train of thought for portable detection instruments with electrophoresis microchips in the future.

Ambient Air Quality in the Industrial Area of Khor Al-Zubayr, Southern Iraq

The objective of this study is to determine the levels of gaseous pollutants, as indicators of ambient air quality, emitted from the industrial area of Khor Al-Zubayr, Southern Iraq. Several polluting-induced industries, such as petrochemical complex, gas liquefier plant, steel and iron complex, fertilizers factory, and gas-fueled power station, are located on the study area. Gaseous pollutants such as HCs, NOx, SOx, HCHO, O3, and CO2 measured using the portable detection instrument of Drager Chip-Measurement System, Germany, whereas portable instrument of RK1 Gas Monitoring Eagle II, USA, detected the pollutants of CH4, H2S, and CO. Fieldwork carried out during 2012 at six selected stations in the study area. The results have showed that there a spatial variability in gaseous concentrations throughout the selected stations. The measured concentrations of CO, CO2, NOx, SOx, H2S, HCs, CH4, and HCHO ranged from10.11 to 35.63, 100.01 to 400.01, 0.21 to 3.12, 0.92 to 9.59, 1.12 to 5.28, 10.51 to 28.21, 9.21 to 20.52, and 0.11 to 1.25 ppm, respectively; while O3 concentrations ranged from 0.01 to 0.24ppb. By comparison, the recorded levels differ with the previous studies results. These levels lies within the recommended guidelines and in other cases exceed it. Generally, air quality in the study area is safe. Some gaseous pollutants concentrations, however, may represents potentially hazard on the public health. Therefore, the need for more rigorous longitudinal monitoring with repeated measures across seasons and spaces to air pollution is necessary.

Irradiation dose detection of irradiated milk powder using visible and near-infrared spectroscopy and chemometrics

The objective of this study was to examine the possibility of applying visible and near-infrared spectroscopy to the quantitative detection of irradiation dose of irradiated milk powder. A total of 150 samples were used: 100 for the calibration set and 50 for the validation set. The samples were irradiated at 5 different dose levels in the dose range 0 to 6.0kGy. Six different pretreatment methods were compared. The prediction results of full spectra given by linear and nonlinear calibration methods suggested that Savitzky-Golay smoothing and first derivative were suitable pretreatment methods in this study. Regression coefficient analysis was applied to select effective wavelengths (EW). Less than 10 EW were selected and they were useful for portable detection instrument or sensor development. Partial least squares, extreme learning machine, and least squares support vector machine were used. The best prediction performance was achieved by the EW-extreme learning machine model with first-derivative spectra, and correlation coefficients=0.97 and root mean square error of prediction=0.844. This study provided a new approach for the fast detection of irradiation dose of milk powder. The results could be helpful for quality detection and safety monitoring of milk powder.