Performance Characteristics Research Articles

Study on the performance of lithium iron phosphate battery based on its application in transportation field

Abstract The technology of lithium iron phosphate batteries is increasingly becoming developed and stable as a result of the new energy sector’s quick and steady development. With its unique performance advantages and characteristics, lithium iron phosphate battery occupies a large market share and has a wide range of application scenarios. This paper analyzes the specific application scenarios of lithium iron phosphate batteries in the field of transportation and derives the specific performance advantages of lithium iron phosphate batteries. Lithium iron phosphate battery has high energy density, high safety, high cycle life, high-temperature adaptability and other performance advantages. In addition, Lithium iron phosphate batteries are also inexpensive and kind to the environment. Therefore, lithium iron phosphate batteries can better meet the demand for battery applications in the field of transportation. At the same time, these advantages also make the lithium iron phosphate battery in other areas such as communication energy storage and peak energy storage have a high application value. By specifically studying the advantages of lithium iron phosphate, I believe that we can further promote the market application of lithium iron phosphate batteries and provide a method of reference for other batteries.

Comparative effects of various dietary selenium sources on growth performance, meat quality, essential trace elements content, and antioxidant capacity in broilers

This study aimed to compare the effects of various dietary selenium (Se) sources (0.5 mg/kg) on performance, meat quality, and antioxidant capacity in broilers as well as essential trace elements concentrations in their blood and tissues. A total of 360 one-day-old male yellow-feathered chickens (37.00 ± 0.17 g) were randomly allocated to 5 diet treatments: the basal diet (CON) and 4 diets supplemented with sodium selenite (SS), selenomethionine (SM), selenium-enriched yeast (SY), and nano-selenium (NS) for 56 d, respectively, with 6 replicates per treatment and 12 chickens per replicate. Dietary Se supplementation did not affect growth performance and carcass characteristics in broilers (P > 0.05). Supplemental SM enhanced the redness in the pectoral muscle compared to CON and NS (P < 0.05). Supplementation of SY and NS improved the concentrations of Se, copper, manganese, and zinc in the serum (P < 0.05). Supplemental SS also elevated the zinc content in the serum (P < 0.05). Broilers fed the SY diet showed increased Se content in the liver and pectoral muscle compared to those fed CON, SM, and NS diets (P < 0.05). Also, SY improved the pectoral muscle Se concentration compared to SS (P < 0.05). Besides, dietary Se supplementation increased the Se content in the thigh muscle (P < 0.05), with SY showing highest Se deposition. Dietary supplementation with SS, SM, and NS improved the activities of total superoxide dismutase and total antioxidant capacity (T-AOC) in the serum (P < 0.05). Supplemental SY also elevated the T-AOC in the serum (P < 0.05). Additionally, SS and SM enhanced the T-AOC in the liver (P < 0.05). In conclusion, supplemental SM affected meat color. Supplementing diets with various Se sources increased antioxidant capacity and Se content in the thigh muscle of broilers, with SY showing a more pronounced deposition efficiency. Besides, diets supplemented with different Se sources had variable effects on the concentrations of essential trace elements in the serum and tissues of broilers.

Phytogenic cocktails fed in different feeding regimes as alternatives to antibiotics for improving performance, intestinal microbial, and carcass characteristics of slow growth chickens

Background and Aim: The phytogenic cocktail (PC) is a unique combination of natural plant extracts consisting of coconut shell smoke, clove leaf extract, and mangosteen rind extract, predominantly containing phenol, eugenol, and α-mangostin. Chicken performance can be improved by its antibacterial properties. This study aimed to test PC as a replacement for antibiotic growth promoters (AGPs), assessing its impact on performance, intestinal microbes, and carcass traits in slow growth KUB chickens. Materials and Methods: Two hundred and forty KUB chicks were distributed randomly to five dietary groups. Each group constituted six replicates, one replicate contained eight chicks. The treatments included the control diet (CD) with no additives, CD with 50 ppm Zinc bacitracin as an additive (AGPs), CD paired with 198 mL PC/ton feed provided for the initial 12 weeks (PC1), CD with 198 mL PC/ton feed given for the first 4 weeks (PC2), and CD supplied with 198 mL PC/ton feed for the first 8 weeks (PC3). Performance and mortality indicators were assessed during the feeding stage up to 12 weeks of age, while intestinal total microbial count and carcass characteristics were determined at 12 weeks. Duncan’s multiple-range test identified differences among the treatments in the randomized experiment. Results: The AGPs group weighed significantly more (p &lt; 0.05) than PC2 but not significantly different (p &gt; 0.05) from Control, PC1, and PC3 at 4 weeks. At 8 weeks, there was no significant difference (p &gt; 0.05) in the body weight (BW) between the AGP, CD, and PC groups. The AGPs group had a significantly greater BW than PC1 and PC2 at 12 weeks (p &lt; 0.05), but was comparable to CD and PC3 (p &gt; 0.05). During the starter phase (0–4 weeks), dietary addition of AGPs or PCs significantly reduced feed intake (p &lt; 0.05); however, no significant effect (p &gt; 0.05) was observed during the later feeding periods (0–8 or 0–12 weeks). During the starter period, PC3 yielded the best feed conversion ratio, slightly surpassing AGPs and significantly (p &lt; 0.05) outperforming CD. No significant variations (p &gt; 0.05) were detected in the carcasses among the treatments. The reduction of abdominal fat relative weight was significant (p &lt; 0.05) during the first 8 weeks of PC feeding. After the 12-week trial, no significant difference (p &gt; 0.05) was observed in the proportionate weights of the crop, proventriculus, gizzard, pancreas, cecum, spleen, bursa of Fabricius, heart, and liver. The reduction in the intestinal microbe population due to AGPs or PC was not statistically significant (p &gt; 0.05). About 100% viability was confirmed by the absence of mortality throughout the study. Conclusion: PC supplementation in KUB chicken feed enhances their performance. The optimal feeding regimes were effective during the first 8 weeks of age. In the 0–4 week time frame, feeding the PC to the chicken worsened performance whereas no improvement was observed in the 0–12 week period. The application enhanced weight loss, feed efficiency, and reduced abdominal fat. Based on the research findings, the PC can replace AGPs as a feed additive due to comparable or superior improvement results. Keywords: antibiotic, carcass, intestinal microbial, performance, phytogenic cocktail, slow growth chickens.

Enhanced green hydrogen production via CdS/Cu-doped TiO2 nanotubes: Advancements in photoanode performance

Cadmium Sulfide (CdS) deposited Copper (Cu) doped TiO2 nanotube hybrid photoanode (CdS/Cu-TNT) is developed via electrochemical anodization and subsequent electrochemical deposition for efficient green hydrogen production. Cu-doping of TiO2 Nanotube (TNT) is achieved in one-step anodization, which is more energy efficient than conventional arc melting. Results indicate that CdS/Cu-TNT photoanodes increased carrier density by 9 times and achieved a low bandgap of 2.46 eV which enhancing their suitability as photoanodes. Particle size distribution analysis has shown that Cu doping causes thicker nanotube walls with decreased surface area. CdS is coated over the Cu-doped TNT to enhance the photoelectrochemical properties further. The photocurrent of CdS-deposited TNT is 7.8 times higher than bare TNTs. Raman Spectral Mapping indicates the uniformity of CdS deposition and Cu doping. Photostability experiments reveal excellent performance and switching characteristics for Cu-doped, CdS-deposited, and CdS/Cu-TNT hybrid samples. The hybrid electrode with larger diameter nanotubes shows a 52.39 % increase in the Fill Factor of photocurrent response for CdS/Cu-TNT. Moreover, hydrogen production is significantly enhanced, with CdS/TNT demonstrating a 3.8-fold increase and CdS/Cu-TNT demonstrating a 4.1-fold increase. This research highlights the potential of Cu doping in TiO2 nanotubes for hydrogen generation, offering improvements over the limitations of TiO2 as a photoanode.

Characterization of the clinically approved MRI tracer resotran for magnetic particle imaging in a comparison study

Objective. The availability of magnetic nanoparticles (MNPs) with medical approval for human intervention is fundamental to the clinical translation of magnetic particle imaging (MPI). In this work, we thoroughly evaluate and compare the magnetic properties of an magnetic resonance imaging (MRI) approved tracer to validate its performance for MPI in future human trials. Approach. We analyze whether the recently approved MRI tracer Resotran is suitable for MPI. In addition, we compare Resotran with the previously approved and extensively studied tracer Resovist, with Ferrotran, which is currently in a clinical phase III study, and with the tailored MPI tracer Perimag. Main results. Initial magnetic particle spectroscopy (MPS) measurements indicate that Resotran exhibits performance characteristics akin to Resovist, but below Perimag. We provide data on four different tracers using dynamic light scattering, transmission electron microscopy, vibrating sample magnetometry measurements, MPS to derive hysteresis, point spread functions, and a serial dilution, as well as system matrix based MPI measurements on a preclinical scanner (Bruker 25/20 FF), including reconstructed images. Significance. Numerous approved MNPs used as tracers in MRI lack the necessary magnetic properties essential for robust signal generation in MPI. The process of obtaining medical approval for dedicated MPI tracers optimized for signal performance is an arduous and costly endeavor, often only justifiable for companies with a well-defined clinical business case. Resotran is an approved tracer that has become available in Europe for MRI. In this work, we study the eligibility of Resotran for MPI in an effort to pave the way for human MPI trials.

Numerical investigation of performance characteristics in a bearingless direct-drive centrifugal pump under extreme operating conditions

Numerical investigation of performance characteristics in a bearingless direct-drive centrifugal pump under extreme operating conditions

Effect of off-axis electron beam on the performance of a gyroklystron amplifier

A crucial part of a gyroklystron is an electron beam. For the efficient operation of the gyroklystron, effective interaction between the radio frequency wave and the electron beam is necessary. Although the manufacturing and assembly of the gyroklystron are complicated, during the assembly process of various components of the gyroklystron, there is some possibility that the components may be misaligned from their actual positions. The operation of a gyroklystron is very sensitive if its components are misaligned. Electron beam misalignment is one type of such misalignment. This paper studies the effect of an off-axis electron beam on gyroklystron performance. Due to misalignment, the electron beam radius will vary in its position as the electron beam gyrates. First, the nonlinear single-mode analysis describing the beam–wave interaction process within the gyroklystron amplifier is discussed. As reported in the literature, an experimental, two-cavity 35 GHz fundamental harmonic gyroklystron amplifier has been used to conduct the present study. The results obtained from the analytically developed approach are benchmarked by the results of the experimental device. Subsequently, the analysis developed has been extended to investigate the impact of the misaligned electron beam on the gyroklystron performance characteristics. The study shows that efficiency, output power and gain decrease with misalignment, whereas bandwidth does not change due to such misalignments. These findings demonstrate the critical role that the misaligned electron beam plays in the operation of a gyroklystron amplifier.

Energy Saving Research on Temperature Control in Data Center Server Rooms

Abstract To tackle the challenge of inefficient traditional control methods and energy wastage caused by temperature disparities within the data center’s server room cooling system, this research initiative initially installed temperature and humidity sensors in each cabinet to gather comprehensive data. Subsequently, a detailed mathematical model of the room’s temperature system was formulated to assess the influence of air supply airflow distribution on the temperature distribution. Following this, through the integration of fuzzy theory with the PID control strategy, a sophisticated fuzzy PID controller was developed. Utilizing Simulink, an in-depth simulation analysis of both PID and fuzzy PID temperature control strategies was executed. The outcomes of the simulations underscored that fuzzy PID control effectively addresses the time delay and stability concerns present in conventional PID temperature control systems. Lastly, empirical validation confirmed that the fuzzy PID control algorithm can proficiently manage the server room’s temperature while concurrently decreasing the intake of cold air, thus promoting energy conservation. This control approach showcases commendable adaptability and robust performance characteristics.

Comparison of Performance Characteristics in Early Warning Scoring Tools for Diagnosis of Intubation and Mortality Among COVID-19 Patients

IntroductionEarly warning scores serve as valuable tools for predicting adverse events in patients. This study aimed to compare the diagnostic performance of National Early Warning Score, Hamilton Early Warning Score, Standardized Early Warning Score, and Triage Early Warning Score in forecasting intubation and mortality among patients with coronavirus disease 2019. MethodsThis predictive correlation study included 370 patients admitted to the emergency department of 22 Bahman Hospital in Neyshabur, Iran, from December 2021 to March 2022. The aforementioned scores were assessed daily upon patient admission and throughout a 1-month hospitalization period, alongside intubation and mortality occurrences. Data analysis used SPSS 26 and MEDCALC 20.0.13 software. We adhered to the Standards for Reporting of Diagnostic Accuracy Studies guidelines to ensure the accurate reporting of our study. ResultsThe patients’ mean age was 65.03 ± 18.47 years, with 209 (56.5%) being male. Both Standardized Early Warning Score and Hamilton Early Warning Score demonstrated high diagnostic performance, with area under the curve values of 0.92 and 0.95, respectively. For Standardized Early Warning Score, the positive likelihood ratio was 10.81 for intubation and 17.90 for mortality, whereas for Hamilton Early Warning Score, the positive likelihood ratio was 7.88 for intubation and 10.40 for mortality. The negative likelihood ratio values were 0.23 and 0.17 for Standardized Early Warning Score and 0.21 and 0.18 for Hamilton Early Warning Score, respectively, for the 24-hour period preceding intubation events and mortality. DiscussionFindings suggest that Standardized Early Warning Score, followed by Hamilton Early Warning Score, has superior diagnostic performance in predicting intubation and mortality in patients with coronavirus disease 2019 within 24 hours before these outcomes. Therefore, serial assessments of Hamilton Early Warning Score or Standardized Early Warning Score may be valuable tools for health care providers in identifying high-risk patients with coronavirus disease 2019 who require intubation or are at increased risk of mortality.

Enhanced Ni(II) Removal from Wastewater Using Novel Molecular Sieve-Based Composites.

This study focuses on the efficient removal of Ni(II) from spent lithium-ion batteries (LIBs) to support environmental conservation and sustainable resource management. A composite material, known as molecular sieve (MS)-based metal-organic framework (MOF) composites (MMCs), consisting of a synthesized MS matrix with integrated MOFs, was developed for the adsorption of Ni(II). The structural and performance characteristics of the MMCs were evaluated using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and N2 adsorption-desorption isotherms (BET). Batch adsorption experiments were conducted to assess the Ni(II) adsorption performance of the MMCs. The results revealed that, under conditions of pH 8 and a temperature of 298 K, the MMCs achieved near-equilibrium Ni(II) adsorption within 6 h, with a maximum theoretical adsorption capacity of 204.1 mg/g. Further analysis of the adsorption data confirmed that the adsorption process followed a pseudo-second-order kinetic model and Langmuir isotherm model, indicating a spontaneous, endothermic chemical adsorption mechanism. Importantly, the MMCs exhibited superior Ni(II) adsorption compared to the MS. This study provides valuable insights into the effective recovery and recycling of Ni(II) from spent LIBs, emphasizing its significance for environmental sustainability and resource circularity.

The adaptability research and evaluation of digital distance protection based on Python and PSCAD

With the development of power systems, digital distance protection, as an innovative and cutting-edge technology, plays a crucial role in ensuring the stable operation of the power grid. Due to its high precision, rapidity, and reliability, digital distance protection has become a key component of power system safety. Distance protection is widely used in distribution networks at or below 35 kV. Therefore, studying its adaptability and effectiveness as a remote backup protection can provide an effective foundation for improving grid security.With the utilization of Python and PSCAD, the adaptability of digital distance protection is meticulously examined in the context of low voltage side faults in 110 kV/35 kV transformers, specifically as a remote backup protection measure. The core objective of this investigation is to assess the efficacy of this protection strategy in upholding the safety and reliability of power systems. To achieve this, 3 approaches is employed: theoretical analysis, simulation modeling, and experimental validation. This process allows for a comprehensive evaluation of the performance characteristics and application efficacy of digital distance protection. The insights garnered from this meticulous study offer profound understanding into the strengths and potential limitations of this protection paradigm, serving as a solid foundation for the refinement of existing protection strategies and the enhancement of the overall resilience of power systems. In essence, this article aims to evaluate the effectiveness of digital distance protection as a remote backup protection strategy for faults on the low-voltage side of 110 kV/35 kV transformers. The core objective is to assess the efficacy of this protection strategy in maintaining the safety and reliability of the power system.

Analog and linearity performance analysis of ferroelectric vertical tunnel field effect transistor with and without source pocket

AbstractThis study examines the electrical performance characteristics of a ferroelectric vertical tunnel field‐effect transistor (TFET) with and without a source pocket (Si0.5Ge0.5). The incorporation of Germanium in the source of the TFET aims to enhance the on‐current. The Silvaco TCAD simulation tool is utilized to simulate the proposed structure. To improve device performance, a ferroelectric layer with a vertical length is employed in the gate of the TFET. When the ferroelectric layer partially controls the channel region, device characteristics, such as on‐current and subthreshold swing (SS) can be improved (i.e., ION = 15.21 × 10−5 A/μm, ION/IOFF = 5.03 × 109, and a minimum SS of 20.87 mV/decade at 300 K). This article studied a comparison between ferroelectric vertical TFETs and nonferroelectric vertical TFETs, as well as ferroelectric vertical TFETs with and without source pockets. The comparison is done on the basis of DC and RF parameters. Analysis of this comparison represents that ferroelectric vertical TFET with source pocket has improved characteristics.

Oxygen-deficient annealing boosts performance of CoNiFe oxide electrocatalyst in oxygen evolution reaction

Mixed oxides of transition metals have emerged as promising catalysts for the oxygen evolution (OER) reaction in alkaline water electrolysis. Since OER is significantly slower than hydrogen evolution, developing stable and easily accessible materials that effectively promote OER is one of the keys to improving overall efficiency. In this context, we present a promising method for preparing Co-Ni-Fe oxides which is based on a straightforward sol–gel procedure. Key to success is a thermal treatment under oxygen-deficient atmosphere, which renders superior electrocatalytic properties compared to a treatment under reductive and aerobic conditions, respectively. Attractive performance characteristics are thereby obtained, e.g., a η10 value of 291mV and a Tafel slope of 32 mV dec−1. The impact of the annealing conditions on the material properties has been elaborated using cyclic voltammetry, impedance spectroscopy, and structural analyses. Stability and strong performance under practical conditions was confirmed in long-term studies using an AEM electrolyzer.

Freshness-in-air: An AoI-inspired UAV-assisted wireless sensor networks

The Age-of-Information (AoI) metric has emerged as a performance measurement metric for evaluating time-sensitive wireless communications systems. Maintaining the freshness and reliability of data is critical in time-critical wireless networks, where outdated information can have significant consequences. Moreover, short packet transmissions are used in wireless sensor networks (WSNs) to maintain energy efficiency and low latency. This paper proposes a theoretical model that utilizes the AoI metric and finite block length information theory to estimate information freshness in an unmanned aerial vehicle (UAV)-assisted WSN. This network includes multiple sensing nodes and relies on short-packet communication for transmission. In this paper, closed-form expressions for average AoI (AAoI) and the block error rate are derived. Furthermore, the optimal altitude and block length that ensures the freshness of received information at the destination is determined. The results of the analysis provide valuable insights into the performance characteristics of UAV-assisted WSNs and have important implications for the design and optimization of such systems.

Spectral characterization of a Cryo-Cooled CO laser operating with CO2 laser gas mixture

This study explores the emission spectra and performance characteristics of a cryo-cooled CO laser system operating with CO2 laser gas mixture under various operating conditions, viz., N2 free gas mixture, different coolant temperatures and in grating tuned configuration. The narrow operational window in case of N2 free gas mixture, increased output power and richer emission spectrum obtained with the addition of N2 gas indicates enhanced discharge stability and efficient excitation in presence of Nitrogen. The emission spectrum revealed shifting of the trapping levels towards lower vibrational quantum number with reducing coolant temperature and the same was also corroborated by theoretical calculations. No lasing was observed for vibrational levels V>15 which is attributed to the higher partial pressure of oxygen inherently present in the gain medium formed due to dissociation of CO2. The system lased on more than 20 transitions in grating tuned configuration with power exceeding 100mW on several lines. The presence of higher concentration of O2 in the discharge prevents carbon deposition − a common issue in CO lasers. This study underscores the significance of this unconventional CO laser system offering reliable operation in the 5 µm wavelength region without the usage of extraneous CO gas.

Performance, economic, and statistical analysis assessment for the hybrid solar dish concentrator with turbine, generator, and reverse osmosis desalination unit

The development of a thermodynamically modeled hybrid commercial solar dish with reverse osmosis is conducted in this study with a rated concentrate thermal and a receiver temperature of 853 °C. To simulate and assess the performance characteristics of the suggested TJ-SDC/RO hybrid system in the city of Tianjin-republic of China, a theoretical model was created and built with MATLAB application. A daily and yearly performance study of the TJ-SDC/RO system under investigation is accomplished. Furthermore, energy analysis viability is achieved in order to evaluate the TJ-SDC/RO system’s life cycle. According to the findings, the suggested TJ-SDC/RO system can produce enough desalinated water to meet daily changes in solar radiation. In June of Tianjin-China’s climate, the superior efficiency of the Rankine cycle was 33.92 %, while the SDC-RO system maximum cycle efficiency peaked at 24.95 % with minimum production costs per unit of electricity of 0.0902 $/kW.h and average water production costs yearly 7.09 $/m3. A mathematical model by Minitab commercial software of the nonlinear regression technique is used with an adjusted R2 of 0.99999485, which indicates the accuracy and reliability of the prediction correlation.

A coupled metabolic flux/compartmental hydrodynamic model for large-scale aerated bioreactors

Spatial variation of microorganism populations in stirred-tank bioreactors, caused by the interactions of complex multiphase flows and microorganism metabolism, results in undesirable performance characteristics and significant challenges in scale-up activities. In this work, a novel modelling approach is developed to investigate these coupled processes in bioreactors, which involves the integration of a computational fluid dynamics-informed compartmental hydrodynamic and a dynamic flux balance (DFB) model. This coupling poses significant computational challenges especially when dealing with transient scenarios. To tackle these challenges we developed a fast point-location algorithm to solve the DFB model at different bioreactor locations. To validate the presented modelling approach, a binary search tree-based metabolic model for E. coli was developed and integrated with a flow-informed compartmental model of a large-scale four-impeller aerated bioreactor in fed-batch operation. The model results exhibit favorable agreement with the concentration profiles reported in literature for both lab-scale and industrial scale bioreactors. Furthermore, the ability of the approach to deal with transient scenarios permitted to study the effect of oxygen closed loop control responses and the occurrence of oscillatory behaviour which were crucial to explain part of the data.

Performance research of edge computing nodes based on heterogeneous environment

Abstract Edge computing realizes real-time parallel storage and computing in a distributed way, which can reduce the data transmission cost. The edge nodes, which are composed of different heterogeneous physical devices and hardware resources, assume the computing and storage capacity of the edge network. At present, the resource characteristics and performance of heterogeneous edge nodes are difficult to characterize. Therefore, a resource-aware performance feature detection model for heterogeneous edge compute nodes is proposed in this study. This model is based on a resource utilization matrix and resource relative performance quantization algorithm to extract the performance characteristics of the same type of resources of the edge nodes, to realize multi-dimensional and systematic feature detection and description of heterogeneous edge nodes. On this basis, a weight-based edge node task scheduling algorithm is designed. The final verification results show that the CPU relative performance ratios of Node 1-Node 2, Node 1-Node 3, and Node 2-Node 3 are 6.23, 3.81, and 0.81 respectively. The performance relationship among the three nodes is Node 1&gt; Node 3&gt; Node 2. The test group and the verification group tend to be consistent overall. This method has a good application prospect.

Micrometer Scale X-ray CT-Informed Optimization of Heterogeneous Pore Distribution in Double Layered Thick LiNCM 811 Cathode

The pore structure of lithium-ion battery electrodes heavily influences ion transport and thus their deliverable capacity, especially at higher rates. Ideally, a gradient pore distribution favoring higher porosity near the separator side can enable faster ion transport at higher cycling rates. We present here a two-layer heterogenous cathode design using traditional NCM 811 material featuring a three-dimensional design space of this cathode design. An efficient characterization technique that combines fast micrometer-scale X-ray computed tomography and pore network modeling was developed, providing critical information regarding the ion transport pathways inside the cathode. Based on the X-ray CT data and performance characteristics obtained, we created a comprehensive profile of cathode rate performance as a function of their pore distribution with easily identifiable advantaged configurations for different cycling scenarios.

Emotional health screening of mothers, preliminary validation of a 3-item instrument: A research brief

A number of countries now recommend population-wide depression screening for perinatal women, using validated tools. A stepped-approach to screening – involving universal screening with a brief measure, followed by targeted screening using a longer measure for those women identified as at greater risk – is used in some settings. This brief report describes the test performance characteristics of a 3-item mood screening instrument, developed for use within a digital parenting program. Participants (n = 404) in this cross-sectional study were mothers of children aged up to 3 years. The majority (65.5 %) were first-time mothers, and their mean age was 32.8 years. Data were collected using an online survey. The test performance of the brief 3-item mood screening instrument (possible score range = 0–300) was examined using Receiver Operating Characteristic (ROC) analysis, with a score of 13 or more on the Edinburgh Postnatal Depression Scale (EPDS) used as the reference standard. The mood screening instrument demonstrated excellent range when compared to the reference standard. Optimal balance between sensitivity (0.77) and specificity (0.78), was achieved at a cut-point of 160 or less. Analysis was limited by using only the EPDS as the reference standard. This preliminary data supports the use of this 3-item mood screening instrument to screen for postnatal depression symptoms and may be integrated into a mobile Health or online tool. Future research should examine the test performance of the 3-item mood screening instrument against a diagnostic tool.