Control Purposes Research Articles

A First-Order Derivative Spectrophotometric Method for the Quantification of Saquinavir in the Presence of Piperine in a Eutectic Mixture

Saquinavir is a drug used as an HIV treatment, with recent reports of new uses. It has poor aqueous solubility and very low oral bioavailability. However, when prepared in a eutectic mixture with the natural bioenhancer, piperine, it demonstrated improvements in these drawbacks. Therefore, considering that EMs can be easily produced and scaled-up, it could potentially be used in new pharmaceutical formulations. For this purpose, an analytical method capable of quantifying SQV in the presence of PIP is required for quality control purposes. In this context, UV–Vis equipment is simpler to use and cheaper than HPLC, and it is commonly available in most laboratories. Therefore, a derivative spectrophotometry method at 245 nm was developed and validated to quantify SQV. The method showed good linearity from 0.5 to 100.0 mg/L, with a limit of detection and limit of quantification of 0.331 mg/L and 0.468 mg/L, respectively. Furthermore, it was precise, accurate, and demonstrated good specificity up to a 1:4.3 SQV:PIP ratio. Consequently, the results demonstrate that the method can be employed for SQV quantification in the presence of PIP as an economical and simple technique. This contribution could be the basis for a quality control technique for these types of products.

MINN: Learning the Dynamics of Differential-Algebraic Equations and Application to Battery Modeling.

The concept of integrating physics-based and data-driven approaches has become popular for modeling sustainable energy systems. However, the existing literature mainly focuses on the data-driven surrogates generated to replace physics-based models. These models often trade accuracy for speed but lack the generalizability, adaptability, and interpretability inherent in physics-based models, which are often indispensable in modeling real-world dynamic systems for optimization and control purposes. We propose a novel machine learning architecture, termed model-integrated neural networks (MINN), that can learn the physics-based dynamics of general autonomous or non-autonomous systems consisting of partial differential-algebraic equations (PDAEs). The obtained architecture systematically solves an unsettled research problem in control-oriented modeling, i.e., how to obtain optimally simplified models that are physically insightful, numerically accurate, and computationally tractable simultaneously. We apply the proposed neural network architecture to model the electrochemical dynamics of lithium-ion batteries and show that MINN is extremely data-efficient to train while being sufficiently generalizable to previously unseen input data, owing to its underlying physical invariants. The MINN battery model has an accuracy comparable to the first principle-based model in predicting both the system outputs and any locally distributed electrochemical behaviors but achieves two orders of magnitude reduction in the solution time.

Volatilomics Profiling of Counterfeit Perfume by Gas Chromatography Hyphenated to Mass Spectrometry and Fourier-Transformed Infrared Spectroscopy

To prevent deleterious effects on consumers and potential health damage caused by counterfeit perfumes, this study aims to distinguish the original perfume from its suspected counterfeit products. Fingerprint and volatilomics profiling was performed using attenuated total reflection-Fourier infrared spectroscopy (ATR-FTIR) and gas chromatography hyphenated to mass spectrometry (GC-MS). Headspace (HS)-GC-MS was optimized to analyze perfume samples containing water. In the presence of water, our optimized HS-GC-MS method shows linalool's consistent signal intensity, providing an alternative analytical method for water-based perfume formulation. The GC-MS chemical characterization revealed 45 compounds detected in the original sample but only four compounds were detected in the counterfeit products: linalool, citronellol, methyl jasmonate, acetic acid, and propanol. This suggests a clear difference in the formulation of counterfeit products. Counterfeit products also cheat by using a lower amount of ingredients. Relative quantification shows that linalool in counterfeit products was as low as only 5.1% of the amount in the original product. In addition, cheaper and hazardous materials like methanol and 6,7-dihydrogeraniol were detected in counterfeit products. The combination of ATR-FTIR, GC-MS, and HS-GC-MS demonstrated fast authentication of counterfeit perfumes for routine quality control purposes and the possibility of water-based perfume analysis.

Surface photovoltage spectroscopy for texture and passivation processes monitoring in black silicon solar cells

This paper deals with the use of Surface Photovoltage Spectroscopy (SPS) as a monitoring technique to optimize the manufacturing process of black silicon (B-Si) based solar cells. The results of the application of the SPV to study different texturization (surface micro/nano texturing) and passivation schemes in black silicon-based solar cells are presented. It is shown how the SPV signal is sensitive to different procedures such as conventional alkaline chemical etching and a subsequent treatment to obtain B-Si. So, the effect on the SPV signal of the use of different metals (Ag and Cu) as catalyst in the nanotexturing processing (by Metal-Assisted Chemical Etching), as well as different plasma pressures during the passivating annealing in ammonia atmosphere were explored. The magnitude of the SPV signal after passivation was found to be indicative of the final performance of the solar cell without the need of metal contacts deposition. Result obtained by SPV measurements were correlated with the lifetimes of minority carrier measured using a commercial lifetime tester and with those obtained by Kelvin Probe Force Microscopy (KPFM). The presented results indicate how SPV can be used for quality control purposes at any stage of solar cell fabrication.

Test rig for validating the integrated motion measurement of flexible beams

AbstractThe fundamental principle of integrated motion measurement (IMM) is integrated navigation with inertial sensors combined with, for example, a satellite navigation receiver. Accordingly, IMM makes use of the specific advantages of complementary sensors and blends them in a filter algorithm. To meet requirements in advanced motion measurements, for instance, for structural health monitoring or for structural control purposes, the approach of a single rigid body like in classical navigation no longer holds for IMM. As a solution, additional degrees of freedom (DOFs) for the moving structure are introduced, which represent deformations and allow the navigated body to be treated as a flexible structure. To cover a variety of flexible deformation shapes, a sufficient number of distributed inertial sensors is required. To restrict accumulating errors of these sensors, additional structural measurements for aiding are necessary. The signals of the inertial sensors and the aiding measurements are fused by an extended Kalman filter (EKF) to obtain an optimal estimation of the usual navigation states, extended by the deformation variables. The contribution presents the preparation of the experimental validation of an IMM system for a flexible structure, which represents an idealization of a wing or rotor blade by a movable beam. The mechanical and electrical setup of a test rig is described. Furthermore, the simulation of the test configuration, that is the model of a test beam with a variety of distributed sensors for generating artificial measurements as a test reference, is discussed. Finally, for an optimal sensor placement, the two methods of effective independence and maximization of modal energy are compared and experimentally tested for different amounts of additional flexible DOFs.

REASSURED Test System for Food Control—Preparation of LAMP Reaction Mixtures for In-Field Identification of Plant and Animal Species

The potential of loop-mediated isothermal amplification (LAMP) assays for species identification in medical diagnostics, food safety, and authentication is indisputable. The challenge in commercialization of such DNA-based rapid test methods for resource-limited settings is the on-site availability of the required reagents and an intuitive read-out system. In this work, reaction mixtures for LAMP assays for the detection of animal (plaice) and plant food (safflower) were lyophilized and stored at room temperature for up to 24 weeks, demonstrating that refrigeration of reagents after lyophilization is not absolutely necessary. During this period, reaction mixtures were stable and the polymerase showed no loss of activity. In addition, mobile testing, including DNA isolation, using the lyophilized LAMP reaction mixtures and a handheld fluorescence detection read-out system (Doctor Vida Pocket test) was successfully performed outside of the laboratory environment in less than 40 min using a proposed standard operation procedure. The results highlight that the use of the lyophilized LAMP reaction for food control purposes has the potential to meet the WHO-proposed REASSURED criteria.

Risk assessment of dietary exposure due to Cyromazine and Melamine residues in poultry eggs from layer farms of Haryana, India

The practice of using Cyromazine (CYR) as feed additive larvicide at layer farms leads to occurrence of residues of CYR and its metabolite Melamine (MEL) in eggs and can cause public health problem. Therefore, the present research work was carried out to estimate the dietary exposure risk to consumers in Haryana, India where CYR is routinely used at layer farms as a measure of fly control. For this purpose, 110 egg samples were collected from layer farms located in selected districts of Haryana (Panchkula, Hisar, Ambala, Sirsa and Panipat). Samples were analyzed using High Pressure Liquid Chromatography (HPLC-UV). CYR concentration was found to be above LOQ in 25 samples. The mean concentration of the CYR was found to be 42.71 µg kg−1 with a range of 16.88 -112.61 µg kg−1. MEL was not detected in any of the sample analyzed. Estimates of dietary exposure of CYR was found to be 33.40 µg per kg body weight per day. The results indicated that poultry farmers are using CYR as feed additive in layer birds for the purpose of fly control by following good agricultural practices and there is no risk of dietary exposure of CYR and MEL through consumption of eggs to the consumers.

A new compact potentiometric electrode for pH monitoring built upon a glass substrate with a Ce-doped SnO2 layer.

A novel compact potentiometric electrode specifically designed for pH monitoring, featuring a good construction on a glass substrate coated with a cerium-doped tin oxide (Ce-doped SnO2) layer. The Ce-doped SnO2 thin film was created by spray-pyrolysis it on a glass substrate. Field emission scanning electron microscopy (FESEM) and X-ray diffraction (XRD) were used to characterize the deposited metal oxide coating. As a miniature potentiometric electrode, the synthesized Ce-doped SnO2/glass substrate was utilized to measure a broad pH range (pH 2-12) in aqueous solutions. The electrode had a perfect near-Nernstian response (slope of -58.6 ± 0.7 mV per decade), high potential stability, mechanical durability, and great selectivity towards some common interfering cations and anions. These characteristics made it ideal for quality control and assurance purposes. The electrode's performance parameters and validation measurements were assessed using established procedures. The Ce-doped SnO2-based electrode satisfactorily monitored the pH of several genuine water, drink, and fruit juice samples, and the data compared well with those obtained using a traditional pH glass electrode. The integration of Ce-doped SnO2 as the active material marks a significant advancement, providing enhanced electrochemical stability, improved sensitivity, and a wider pH detection range compared to conventional electrodes. The compact design not only reduces the sensor's footprint but also facilitates its application in miniaturized and portable pH monitoring devices, making it highly suitable for advanced analytical and environmental sensing applications.

Paralytic Shellfish Poisoning (PSP) Toxins in Bivalve Molluscs from Southern Italy Analysed by Liquid Chromatography Coupled with High-Resolution Mass Spectrometry (UHPLC-HRMS/MS).

A new method for simultaneous determination by liquid chromatography coupled with high resolution mass spectrometry (UHPLC-HRMS/MS) of 14 paralytic shellfish poisoning toxins (PSP), that is, Saxitoxin, Neosaxitoxin, Gonyautoxins and their respective variants, in bivalve molluscs, is herein described. The samples were extracted by acetic acid solution, then analysed by UHPLC coupled with a Q-Exactive Orbitrap Plus high resolution mass spectrometer, by electrospray ionization mode (ESI) with no further clean up step. The analysis was carried out by monitoring both the exact mass of the molecular precursor ion of each compound (in mass scan mode, resolution at 70,000 FWHM) and its respective fragmentation patterns (two product ions) with mass accuracy greater than 5 ppm. The analytical performance of the method was evaluated calculating trueness, as mean recoveries of each biotoxin, between 77.8% and 111.9%, a within-laboratory reproducibility (RSDR) between 3.6% and 12.2%, the specificity, the linearity of detector response, and the ruggedness for slight changes The results of the validation study demonstrate this method fits for the purposes of the official control of PSP toxins in molluscs. The results of two years of monitoring in local mussel farms are also reported, showing that no significant concerns for food safety in the monitored productions.

Assessment of non-destructive nuclear and non-nuclear asphalt density testing devices for Australian road construction

ABSTRACT Non-nuclear density gauges, also known as Pavement Quality Indicators (PQIs), offer several advantages over widely used destructive test methods and nuclear density gauges (NDGs) for asphalt density measurement. Replacing NDGs with PQIs would simplify regulatory requirements and reduce the cost and complexity of in-situ asphalt density measurement. This is due to the absence of nuclear materials and the ability of PQIs to provide measurements rapidly. However, PQIs have not gained widespread use in Australia due to concerns regarding accuracy. This work assesses the suitability of PQIs for both acceptance and quality control testing by analysing a dataset collected over an extended period and across a wide range of construction sites in Australia. Accuracy was evaluated based on the strength of the relationship between gauge measurements and core density results. Although some evidence supporting the use of PQIs for quality control purposes has been found, their use for acceptance testing remains unwarranted. Recommendations for establishing standard testing methods are provided to encourage wider adoption of PQIs.

Internal control of the commercial bank resource use efficiency

Subject. This article considers the methodological approaches to the analysis of banking resources from the point of view of their possible use in controlling the efficiency of resource provision and funding of commercial banks. Objectives. The article aims to test standard analytical methods used in the analysis of economic indicators characterizing the efficiency of banking activities in order to draw conclusions about the possibility of their application to control the risks of resource availability. Methods. For the study, we used induction and deduction, analysis and synthesis, modeling, comparison, extrapolation, abstraction, as well as financial analysis and analytical calculations of indicators developed by the banking regulator to identify risk areas and determine key economic and financial indicators of a commercial bank. Results. The article finds that banks are experiencing difficulties in achieving the appropriate efficiency of resource provision within the parameters set by the regulator, which indicates the need to control performance indicators, especially those characterizing resource provision, and their use as one of the main generators of profit from core activities. Conclusions and Relevance. In the context of crisis phenomena in the banking sector, it is necessary to pay attention to the control of ensuring the profitability of resources attracted by the bank, as well as the factors affecting it, the main of which are the return on assets and liabilities and the completeness of the allocation of financial resources. The results of studying the methods of economic analysis for assessing the efficiency of resource provision can be useful for studying the problems of using bank resources and assessing their efficiency, as well as monitoring of efficiency parameters for internal control purposes.

Abstract 4115139: The Clinic Ottakring – Lipid Registry: a Contemporary Single-Center Real-World Analysis from a Tertiary Hospital

In the real world only about 20 % of patients with ASCVD are at the target range, as shown by the SANTORINI trial (1). Therefore, there is still a great need for the improvement of lipid-lowering therapy (LLT). Our Lipid Registry was set up as a retrospective study including patients who visited our outpatients ward focusing on lipid-lowering therapy (LLT). The indications were: low-density lipoprotein cholesterol (LDL-c) > 130 mg/dL in LLT- naive patients with acute coronary syndrome (ACS), coronary artery disease (CAD) not on optimal LLT, familial hypercholesterolemia and LLT intolerance. We collected baseline characteristics as well as laboratory parameters of these patients during their visits. The dual LLT (high-potency statin and ezetimibe) was initiated in every patient during the hospitalization, if not contraindicated, as target variable we used non-HDL-C. In total 181 patients were included, of which 136 (75.1%) patients visited our clinic for control purposes. Patients who didn’t visit the clinic were predominantly men and had no or few pre-experiences with LLT. Fourty-one (36.9%) patients had a BMI>30, 126 (92.6%) of patients had CAD of which 85 (63%) had the diagnosis of a recent ACS. Arterial hypertension was present in 78.7% and diabetes mellitus type 2 in 23.5% of cases. At the 1 st visit to our LLT department 4-6 weeks after dismission from the hospital, 86 patients (61.9%) reached the recommended (ESC/EAS 2019) non-HDL-C goal. At the 2 nd visit (8-12 weeks after index hospitalization), 117 patients (86.2%) and at the 3 rd visit 120 patients (88.2%) reached their target. The analysis of patients initially presenting with ACS showed that 60 (69.8%) of them after 4-6 weeks and 77 (90.6%) patients after 8-12 weeks reached the recommended non-HDL-c goal. Among the study population 108 (79.4%) of patients, and 81 (95.3%) of ACS patients received dual LLT immediately during the index event. After the first visit, 31 (36.5%) of ACS patients needed the addition of the third lipid-lowering drug to achieve the recommended goal (see attached tables). Our strategy for managing hyperlipidemia in patients with a very-high cardiovascular risk showed high achievement of the non-HDL-C goal as recommended by the recent ESC guidelines in contrast to real-world data. We were able to demonstrate, that the strategy based on the idea to treat high-CV risk patients early and strong is the way to reach the treatment goal in a high percentage of patients (2).

FORMATION OF A CONTROL SYSTEM IN AN AGRO-INDUSTRIAL ENTERPRISE

The article examines the importance of control in the management systems of agro-industrial enterprises, which is critical for ensuring their stability and effectiveness in a dynamic environment. The aim of the article is to analyze, systematize, generalize, and improve the theoretical and methodological foundations for the formation of a control system in an agro-industrial enterprise. It is determined that in the context of constant changes affecting agriculture, the control function becomes particularly significant as it helps adapt enterprises to new challenges and prevents negative consequences. The study presents the elements of the control system in agro-industrial enterprises, which include: planning (establishing goals, defining standards, and developing plans that serve as a basis for further monitoring and control), monitoring (constant collection and analysis of information on the execution of production processes), deviation analysis (evaluating performance results and comparing them with planned indicators), and feedback mechanisms (providing information on the effectiveness of production processes and their results, which is used to update plans and improve subsequent stages of control). Key control tools applicable at all stages of agro-industrial enterprises' activities are presented: planning and forecasting, result analysis and reporting, monitoring and information, auditing and inspections, quality control of products, budgeting, verification and compliance with environmental standards, personnel management, risk management, and technological control. It is found that timely application of control tools helps avoid losses and maintain high product quality. The purpose of control is justified as ensuring compliance of all production processes with established plans and standards to achieve economic efficiency, reduce costs, and improve product quality. The study allowed for the identification of the significance of integrating modern control methods and information technologies, which significantly enhance the effectiveness of management processes. It is noted that the application of modern technologies, such as ERP systems, IoT, and analytical platforms, significantly improves control over all stages of production and supply.

Probabilistic analysis of crack widths associated with quality control procedures

AbstractExisting concrete specifications limit the crack width in order to fulfill the limits of serviceability and durability. The crack width calculation results differ depending on the influences of the variability of the used materials, the geometry, the actions and the uncertainty of the used calculation model itself. In this contribution, the influence of the variability of the input parameters on the calculated crack width is investigated using probabilistic methods in a real case study of a highly loaded tunnel lining cross‐section. The primary objective of this study is a sensitivity analysis to identify the geometric and material‐related input parameters with the most significant influence, which must be particularly controlled during execution for quality control purposes. The study in this article is based on the Eurocode deterministic model for calculating crack width for a stabilized cracking stage in late concrete age.

An analysis of estimation strategies for knock control

Since knock behaves as a random process, all knock controllers regulate some statistical property of this process which must be estimated from the data. The choice of the statistical metric used for feedback, its target value, and the method used for its estimation all have a strong impact on the performance of the closed loop system. In this work, expressions for the asymptotic variance of the estimates of different test statistics are derived and used to compare empirical versus parametric estimation methods. The variance of different metrics and the slope of their response curves (e.g. knock probability vs knock percentile intensity feedback) are also used to compute and compare the efficacy of these different measures for knock control purposes. The efficacy is seen to vary as a function of the chosen knock probability target, and lower knock thresholds/higher knock rate targets are recommended. Finally, the estimator dynamics are shown to dominate the dynamics of the closed loop response, and estimates obtained using a sliding window versus an exponentially weighted moving average are compared and contrasted. In each case, the results are illustrated using closed loop simulations of controller response subject to disturbances.

An innovative practical roadmap for optimal control strategies in malware propagation through the integration of RL with MPC

While there has been considerable research into optimal control formulations for mitigating cyber threats, a significant gap persists between the theoretical and numerical insights derived from such research and the practical implementation of these optimal mitigation strategies in real-time scenarios. This paper introduces a multifaceted approach to enhance and optimize optimal control strategies by seamlessly integrating reinforcement learning (RL) algorithms with model predictive control (MPC) techniques for the purpose of malware propagation control. Optimal control is a critical aspect of various domains, ranging from industrial processes and robotics to epidemiological modeling and cybersecurity. The traditional approaches to optimal control, particularly open-loop strategies, have limitations in adapting to dynamic and uncertain environments. This paper addresses these limitations by proposing a novel roadmap that leverages RL algorithms to fine-tune and adapt MPC parameters within the context of malware propagation containment. In sum, this practical roadmap is anticipated to serve as a valuable resource for researchers and practitioners engaged in the development of cybersecurity solutions.

MODERNIZATION OF STATE POLICY IN THE FIELD OF STATE CONTROL (SUPERVISION) OVER ECONOMIC ACTIVITY

The article analyzes the essence of modernization of the State policy in the field of control (supervision) over economic activity with due regard for the changing political and economic situation in the country. The author examines the main conceptual approaches to the definition of basic terms, and also identifies the features and purpose of state control (supervision) in the economic sphere. It is found that the state of the system of control (supervision) over economic activity does not always correspond to the realities of today. Hence, the author concludes that the control system is not always relevant and effective. The author identifies the main problems on the way to modernization of legislation in the field of control (supervision) over economic activity. The author proposes to use adequate means of regulating and controlling economic activity during a special period caused, for example, by a pandemic, military operations on the territory of Ukraine, etc. The author examines the key areas of state policy in the field of legal regulation of control (supervision) over economic activity. The author defines the system of regulatory and legal support of the state policy in the field of control over economic activity at different stages of economic development of the country. The author analyzes the legal acts adopted under the legal regime of martial law aimed at stabilizing the situation in the economic system of our country.

Mercury monitoring in farmed Pacific bluefin tuna (Thunnus orientalis) using liquid asymmetric-electrode plasma optical emission spectroscopy: Ventricle tissue as a potential indicator

Tuna muscle is known to contain high levels of mercury, necessitating the monitoring of mercury concentrations in farmed fish at production sites. There is currently no straightforward in on-site method for testing whether the mercury levels in farmed tuna exceed regulatory limits. This study investigated the potential application of liquid asymmetric-electrode plasma optical emission spectroscopy (LAEP-OES) to estimate mercury concentrations in the tissues of cultured Pacific bluefin tuna at aquaculture farms. No significant differences in mercury concentrations were observed between the ventricle tissue and biopsied tissue from tuna bleeding site (TTBS), which can be harvested without reducing the market value of farmed tuna (Hg concentration of the ventricle tissue and the TTBS, median: 0.41 and 0.40 mg/kg, respectively). In addition, the relationship between mercury concentrations in the ventricle tissue and in the edible portions of three tuna fish was examined. The findings showed that total mercury level in the edible tissues varied, with the ratio of the mercury level in edible tissues to that in the ventricle ranging from 0.39 to 1.08. A positive correlation was observed between the average total mercury levels in edible tissues and ventricle tissue. These results suggest that determining the total mercury level in the ventricle, which is typically discarded at processing sites, may serve as a convenient proxy for quality control and monitoring purposes using the LAEP-OES method. However, larger sample sizes are needed to validate the proposed approach more robustly.

Identification of hypoxene metabolites in urine samples using gas chromatography–tandem mass spectrometry for anti-doping control

Objectives. Hypoxen is a drug which possesses antioxidant and antihypoxic effects. It achieves this by increasing the utilization of oxygen by mitochondria, intensifying oxidative phosphorylation, and as a result, improving tissue respiration. Athletes take it during prolonged exercise, in order to increase efficiency and reduce physical overwork. Since 2023, the World Anti-Doping Agency has included the drug in the monitoring program, in the belief that it can be used to gain a competitive advantage. It is thus a candidate for inclusion in the Prohibited List as a potential regulator of the human metabolism. Currently, there are no studies or scientific publications focusing on the identification of hypoxene in biofluids for the purpose of anti-doping control. The aim of this study is to determine the possible metabolites of the drug and their chromato-mass spectrometric characteristics in urine samples using gas chromatography–tandem mass spectrometry (GC–MS/MS) for doping control screening purposes.Methods. Sample preparation of urine samples was carried out using enzymatic hydrolysis, liquid–liquid extraction and derivatization. The GC–MS/MS method was used for analysis. Screening of hypoxene metabolites was carried out in the mode of total ion current after fragmentation of selected parent ions.Results. Three specific metabolites of hypoxene (m/z 342, 300, and 346, including trimethylsilyl derivatives) were identified in urine samples of volunteers (n = 3). They can act as markers for taking the target antihypoxant, and their possible structural formulas are given. The excretion curves of two metabolites with an m/z of 300 and 346 respectively in urine were studied. The maximum concentration is reached after 8–14 and 1.5–6 h, respectively. It was established, that these metabolites are reliably identified in urine 90 h or more after a single dose of the drug.Conclusions. Possible structures of hypoxene metabolites in urine samples from volunteers were determined for the first time and their chromato-mass spectrometric characteristics were established. The approach developed in this study can be used for screening analysis of hypoxene for the purpose of anti-doping control.

QuEChERS-Based Method for the Determination of Fipronil in Protein Baits and Vespa velutina Larvae by HPLC-DAD and GC-MS

Protein baits containing fipronil as a biocide have shown their effectivity as a control method for Vespa velutina nigrithorax (Lepeletier, 1836) in apiaries. This biocide is not selective for Vespa velutina, so it is important to use the minimum dose to inactivate a nest. Therefore, the aim of this work was the development of analytical methods for the determination of fipronil in protein baits for quality control purposes and in larvae of Vespa velutina to determine the biocide content after protein bait ingestion and to acquire knowledge on fipronil metabolism in larvae. For this purpose, a Quechers-based HPLC-PDA method was developed and validated for the determination of fipronil in both matrixes. Furthermore, a GC-MS method was developed for the analysis of fipronil and its metabolites in dead Vespa velutina larvae fed with a mash containing 0.01% fipronil. Quechers-based HPLC-DAD allowed for the determination of the fipronil content in baits. Fipronil and the metabolites fipronil sulfone and fipronil sulfide were identified by GC-MS in extracts of larvae fed with a protein mash containing 0.01% fipronil. The transformation of fipronil into fipronil sulfone inside the larvae and the high toxicity of this metabolite open the possibility to produce protein baits with lower biocide concentrations.