Complete System Research Articles

Performance of carbon and nitrogen removal in a system combining an aerobic trickling filter followed by two stages of vertical flow treatment wetland

Treatment wetland has become a reference in wastewater treatment, particularly for the treatment of domestic or agricultural effluent in rural areas. The AZOE process developed by the company SCIRPE is an optimised system of water treatment based on a conventional two-stage treatment wetlands with vertical hydraulic flow. A trickling filter has been added at the head of the system and filtration stages have been partially saturated to promote anoxic conditions. This study presents the monitoring of a complete pilot-scale AZOE system receiving real and continuous effluents. Effluents from two periods of the year are studied: autumn and spring when the organic load is higher. The performance of each treatment unit, as well as the total treatment unit is presented in this study. The main results show that i) the trickling filter consumes about half of the carbon load whatever the season but that nitrification is lower when the incoming organic load is higher ii) the first stage of filtration contributes a lot to denitrification thanks to the anoxic zones iii) the contribution of the second stage is lower but can increase in case of higher incoming load highlighting a safety role of the treatment. The continuous ammonium and nitrate data at the outlet of the first and second stages show a very characteristic dynamic of this system during the feeding period: a well-defined nitrate peak at the outlet of the first stage which is found on the second stage. The lack of carbon is pointed out as the most limiting factor to denitrification on the second stage.

Implementation of the Continuous Complete Class System (SKTB) in Islamic Religious Education Subjects at State Junior High School, Somba Opu District, Regency Gowa

Implementation of the Continuous Complete Class System (SKTB) in Islamic Religious Education Subjects at State Junior High School, Somba Opu District, Regency Gowa

Evaluation of Root Canal Morphology of the Maxillary Permanent First Molar among Iraqi Population: A Cone Beam Computed Tomography Study (Retrospective Study)

Purpose: Endodontic success mainly depends on the complete root canal system debridement, both mechanically and chemically. The maxillary first molar possesses one of the most complex root canal anatomy. The purpose of this study was to map the maxillary first molar's root canal anatomy and its variations. Cone Beam Computed Tomography (CBCT) was used to determine the prevalence of the Second Mesiobuccal Canal (MB2) and its possible relation to the gender of the patient in the Iraqi population. Materials and Methods: Images from documented archives of CBCT scans for 415 patients who had maxillofacial diagnosis or root canal treatment were used in this study. Totally 656 maxillary first molars (336 females and 320 males) were included. The root canal configuration, frequency of MB2, and its two-sided symmetry were observed. The (chi-square test) was used to calculate the gender correlation. The P-value of less than 0.05 (p < 0.05) was considered significant. Results: In 61.1% of the cases, the MB2 canal was discovered with high bilateral symmetry (73.6%). Genders did not show any statistically significant differences. Conclusion: The existence of MB2 canal in the maxillary first molars is high and approximately more than half of the cases. No relation was found between the existence of the MB2 canal and the gender of the patient. CBCT is a clinically efficient method for the diagnosis and improvement of root canal therapy.

Photosynthetic biohybrid systems for solar fuels catalysis.

Photosynthetic reaction center (RC) proteins are finely tuned molecular systems optimized for solar energy conversion. RCs effectively capture and convert sunlight with near unity quantum efficiency utilizing light-induced directional electron transfer through a series of molecular cofactors embedded within the protein core to generate a long-lived charge separated state with a useable electrochemical potential. Of current interest are new strategies that couple RC chemistry to the direct synthesis of energy-rich compounds. This Feature Article highlights recent work from our lab on RC and RC-inspired hybrid systems that capture the Sun's energy and convert it to chemical energy in the form of H2, a carbon-neutral energy source derived from water. Biohybrids made from the Photosystem I (PSI) RC are among the best photocatalytic H2-producing protein hybrids to date. Targeted self-assembly strategies that couple abiotic catalysts to PSI translate to catalyst incorporation at intrinsic PSI sites within thylakoid membranes to achieve complete solar water-splitting systems. RC-inspired biohybrids interface synthetic photosensitizers and molecular catalysts with small proteins to create photocatalytic systems and enable the spectroscopic discernment of the structural features and electron transfer processes that underpin solar-driven proton reduction. In total, these studies showcase the incredible scientific opportunities photosynthetic biohybrid research provides for harnessing the optimal qualities of both artificial and natural photosynthetic systems and developing materials that capture, convert, and store solar energy as a fuel.

Integrated Approach for Human Wellbeing and Environmental Assessment Based on a Wearable IoT System: A Pilot Case Study in Singapore.

This study presents the results of the practical application of the first prototype of WEMoS, the Wearable Environmental Monitoring System, in a real case study in Singapore, along with two other wearables, a smart wristband to monitor physiological data and a smartwatch with an application (Cozie) used to acquire users' feedback. The main objective of this study is to present a new procedure to assess users' perceptions of the environmental quality by taking into account a multi-domain approach, considering all four environmental domains (thermal, visual, acoustic, and air quality) through a complete wearable system when users are immersed in their familiar environment. This enables an alternative to laboratory tests where the participants are in unfamiliar spaces. We analysed seven-day data in Singapore using a descriptive and predictive approach. We have found that it is possible to use a complete wearable system and apply it in real-world contexts. The WEMoS data, combined with physiology and user feedback, identify the key comfort features. The transition from short-term laboratory analysis to long-term real-world context using wearables enables the prediction of overall comfort perception in a new way that considers all potentially influential factors of the environment in which the user is immersed. This system could help us understand the effects of exposure to different environmental stimuli thus allowing us to consider the complex interaction of multi-domains on the user's perception and find out how various spaces, both indoor and outdoor, can affect our perception of IEQ.

Problems of ensuring the systematic legal regulation of the functioning of the innovative infrastructure

Problem setting. In the conditions of martial law, the problems of rebuilding the national innovative economy and legal regulation of the activities of innovative infrastructure entities are of primary importance for ensuring national security and adapting to new challenges. Effective legal regulation of the functioning of innovation infrastructure entities using a systemic approach is able to ensure the proper level of development and functioning of the national innovation ecosystem and all its subsystems, including regional ones. However, at present, the state innovation policy and regional innovation policy do not have an effective relationship and an effective mechanism for supporting the activities of innovation infrastructure entities. Analysis of recent researches and publications. Problems of legal support and improvement of the functioning of the national innovation infrastructure and its elements have been studied by many scientists. S. V. Hlibko considered the issue of legal support for the strategy of the innovation process based on the organization of the functioning of the innovation infrastructure, including the features of the infrastructure support for the innovation process. O. V. Rozghon investigated the mechanism of technology transfer and its implementation in the innovation process. The issues of legal regulation of public procurement as a means of state regulation aimed at stimulating innovative activity in the European Union were considered in the scientific works of V. A. Chubenko. Purpose of research is to study the topical legal issues of ensuring the systematic legal regulation of the functioning of innovation infrastructure. Article’s main body. The legal support of the national innovation ecosystem should have effective means of supporting and stimulating the implementation of innovative activities and the corresponding infrastructural support of the innovation process, taking into account modern challenges and generally defined strategic orientations of the state in this area, at the same time, the construction of an effective innovation policy should also take place according to the principle of adaptive formation, taking into account real the needs of regulatory regulation, the current state of innovation development, the need to ensure effective interaction between all subjects of the innovation infrastructure and components of the national innovation system. It has been correctly determined that various legislative and by-laws in the field of innovative infrastructure development are insufficiently consistent and meaningfully connected, for the vast majority of elements of innovative infrastructure, both the content and the order of creation, specifics of activity, mechanisms of state regulation, etc. have not been defined. Therefore, the regulatory and legal provision of innovative infrastructure should be of a sys-temic nature, taking into account the peculiarities of carrying out innovative activities in the conditions of martial law and the urgency of the processes of Ukraine’s integration into the European political, economic, security, and legal space and the approaching acquisition of Ukraine’s membership in the European Union. Thus, ensuring the systematic legal regulation of the activities of innovation infrastructure entities is a key task in creating a favorable environment for the development of innovations; to achieve this goal, it is necessary to implement complex approaches and develop appropriate legislative mechanisms. In addition, ensuring the system of legal regulation of innovative activity requires a comprehensive approach and improvement of current legislation, taking into account the requirements of the modern innovation market and the need to accelerate European integration processes. Conclusions and prospects for the development. Based on the analysis of issues regarding the state of regulatory regulation of the functioning of innovative infrastructure, it is reasonable to conclude that the main shortcomings in the regulation of the specified area are: unsystematic legal regulation of the development of innovative infrastructure; lack of a purposeful and consistent state innovation policy coordinated with regional directions of innovation development; lack of effective systematic forecasting and strategic planning of the development of the sphere of innovative activity; insufficient regulatory and legal settlement of issues of innovation infrastructure development (including the declarative nature of innovation legislation and its inconsistency with strategic planning documents); lack of effective mechanisms for state support and stimulation of innovative infrastructure, etc. The solution of the mentioned problems requires the improvement of the state innovation policy regarding the support and development of the innovation infrastructure, the formation of a complete system of forecast and program documents of the country’s innovation development based on a comprehensive analysis of the situation, taking into account the influence of external and internal factors and the expected trends of changes in the influence of these factors in the long term.

New urbanization; Urban resilience; Coupled coordination model; Huaihe River Basin

Contemporary China's pension system revolves around the allocation and acquisition of pension resources, relying on the enforcement of political power as a guarantee, and is closely integrated with the formulation of laws to form a normative system. This system is composed of a variety of specific systems, and the sub-systems are interconnected and complementary in function, forming a comprehensive pension security network. In the process of promoting the modernization of the national governance system and governance capacity, the pension field needs to achieve a benign governance model, which requires a complete pension system as a support. Under the framework of the existing political system and constitutional system, the basic governance logic remains unchanged. To further promote the development of the pension system, the key lies in optimizing the pension legal system and establishing an effective coordination mechanism between laws and systems. Specifically, it is necessary to start from the following aspects: first, reconstruct the pension legal system with a coordinated and development approach, enhance the fairness of the pension legal system on the basis of objectively analyzing the social situation, and ensure the sustainability of social pension security; second, optimize the pension legal system from the perspective of national strategic layout, including improving the form of family pension responsibility and accelerating the legalization of social pension security; finally, strengthen the development of pension laws by giving full play to the leading role of the National People's Congress in legislation and improving the review mechanism of administrative normative documents. Only in this way can we form a modern system to deal with the issue of elderly care under the increasingly severe aging situation.

De novo assembly of Idesia polycarpa transcriptome and unsaturated fatty acid biosynthesis candidate genes Mining and functional Identification

Unsaturated fatty acids (UFA) in lipids are the key to nutraceutical oil applications, with various potential applications in nutraceutical functional foods and pharmaceutical industries. In Idesia polycarpa (Salicaceae), more than 80 % of UFA have been found in the fruits; yet, the underlying genetic mechanism remains poorly understood. Due to the lack of theoretical research on the genes related to lipid biosynthesis and the complete genetic transformation system of I. polycarpa fruit, the selection and breeding of I. polycarpa, an excellent oil tree, has been severely restricted. In-depth understanding of the molecular mechanism and gene function of lipid biosynthesis of I. polycarpa fruit is therefore of great significance for the development of I. polycarpa resources. This is not only conducive to the genetic improvement of I. polycarpa by molecular breeding technologies but can also provide a reference for the study of the gene functions of other oil plants. In this study, the FA accumulation patterns of I. polycarpa fruits during 8 growth periods were analysed. Fruit from two developmental periods with different UFA levels were analysed for RNA sequencing by an Illumina NovaSeq 6000 HiSeq platform. De novo transcriptome assembly presented 115,350 unigenes and 4382 differentially expressed genes (DEGs). Functional annotation in the KEGG pathway and combined with DEG data revealed candidate genes potentially involved in UFA biosynthesis. Expression analysis of q-PCR of IpDGAT2, IpGPAT, IpKASII, IpSAD, IpFAD2, IpFAD3 and IpFAD8 suggested that these genes are highly involved in UFA biosynthesis. Full-length candidate genes were cloned and analysed by bioinformatic tools, and function analysis of IpSAD and IpFAD3 showed that these genes regulated the products of linoleic acid metabolism. This study provides a foundation for UFA biosynthesis in Idesia polycarpa, facilitating its genetic breeding in the future.

Explicit solutions of the generalized Kudryashov’s equation with truncated M-fractional derivative

The main purpose of this article is to study the generalized Kudryashov’s equation with truncated M-fractional derivative, which is commonly used to describe the propagation of wide pulses in nonlinear optical fibers. By employing the complete discriminant system of fourth-order polynomials, various types of explicit solutions are systematically classified, which include periodic solutions, the trigonometric functions, the double-period solutions, and the elliptic function solutions. Additionally, a series of 2D, 3D, and contour plots are generated to visually depict the spatial distribution and evolution of various solutions. This not only advances the development of nonlinear equations in theory but also provides valuable guidance in practical applications.

Genomic analysis of multi-drug resistant coagulase-negative staphylococci from healthy humans and animals revealed unusual mechanisms of resistance and CRISPR-Cas system.

Coagulase-negative staphylococci (CoNS) are evolving as major reservoirs and vectors of unusual and critical antimicrobialresistance (AMR) mechanisms. In this study, the genomic characterization of 26 multidrug-resistant (MDR)-CoNS (S. borealis, S. saprophyticus, S. sciuri, S. hominis, S. epidermidis, S. pasteuri, S. hyicus, S. simulans, S. haemolyticus, and S. arlettae) previously obtained from the nasal cavity of healthy nestling storks, humans who had no contact with animals, pigs, and pig farmers, as well as dogs and dog owners from Spain was performed. High-quality draft genomes obtained by Illumina sequencing technology were used to determine their resistome, virulome, mobile genetic elements, and CRISPR-Cas types. The relatedness of three CoNS species with publicly available genomes was assessed by core-genome single nucleotidepolymorphisms (SNPs). AMR genes to all classes of antibiotics in staphylococci were detected including unusual ones (mecC, ermT, and cfr), of which their corresponding genetic organizations were analyzed. About 96.1% of the MDR-CoNS strains harbored diverse adherence or immune evasion genes. Remarkably, one enterotoxin-C and -L-carrying S. epidermidis-ST595 strain from a nestling stork was detected. Moreover, various plasmid bound-biocide resistance genes (qacACGJ) were identified in 34.6% of the MDR-CoNS. Two genes that encode for cadmium and zinc resistance (cadD, czrC) were found, of which czrC predominated (42.3%). Complete CRISPR-Cas system was detected in 19.2% of the CoNS strains, of which cas-1, -2, and -9 predominated, especially in 75% of the S. borealis strains. The phylogenetic analysis identified clusters of related S. epidermidis lineages with those of other countries (SNP < 100). Also, highly related S. borealis isolates (SNP < 10) from pigs was confirmed for the first time in Spain. These findings showed that various ecological niches harbor CoNS that presented MDR phenotypes mediated by multiple AMR genes carried by mobile genetic elements with relatively low frequency of intact CRISPR-Cas systems. Furthermore, the transmission of some CoNS species in humans and animals is strongly suggested.

Transformative Impact of the EU AI Act on Maritime Autonomous Surface Ships

The International Maritime Organization collaborates with member states to develop the Maritime Autonomous Surface Ships (MASS) Code to establish an international agreement framework. In December 2023, an agreement was reached on the European Union (EU) Artificial Intelligence (AI) Act within the MASS Code. It was officially finalized and implemented on 1 August 2024. While the Act’s full application is set for two years later, certain provisions regarding safety against AI risks will take effect sooner. This study utilized a multiple-streams analysis method to examine how the EU AI Act impacted shipyards and shipping companies, focusing on ethical AI use and user safety. The findings indicate that technical completeness, safety enhancement, and AI system regulation through risk classification influence autonomous ship innovation. The challenges of reviewing the commercialization of new technologies for autonomous ships may result in market failures or decreased industry competitiveness. The study emphasizes the need to balance AI safety and ethical responsibility with autonomous ship development innovations. To ensure the sustainable application of AI technology, innovators must adapt to the EU AI Directive. Hence, this study confirms that the ethical and legal regulation of AI technology is crucial in technological innovation and development related to autonomous ships.

Third-Generation L-Lactic Acid Biorefinery Approaches: Exploring the Viability of Macroalgae Detritus

AbstractRising concerns over fossil fuel depletion and plastic pollution have driven research into biodegradable alternatives, such as polylactic acid (PLA). Microbial fermentation is preferred for lactic acid production due to its ability to yield enantiomerically pure lactic acid, which is essential for PLA synthesis, unlike the racemic mixture from chemical synthesis. However, commercial lactic acid production using first-generation feedstocks faces challenges related to cost and sustainability. Macroalgae offer a promising alternative with their rapid growth rates and carbon capture capabilities. This review explores recent technological advancements in macroalgae physicochemical characterization, optimization of fermentation conditions, and innovative pretreatment methods to enhance sugar conversion rates for L-LA production. It also covers downstream processes for L-LA recovery, presenting a complete macroalgal biorefinery system. Environmental impacts and economic prospects are assessed through exergy and techno-economic analyses. By valorizing macroalgae detritus, this study underscores its potential to support a sustainable biorefinery industry, addressing economic feasibility and environmental impact.

Monoterpenoids isomerization and cyclization processes in Gewürztraminer wines: A kinetic investigation at different pH and temperatures

The evolution of volatile compounds in wine comprises several acid-catalyzed reactions, such as glycosides precursors’ hydrolysis and rearrangements, and significantly contributes to its sensory qualities, even after prolonged aging. The aim of this work was to use a well-defined experimental design and to examine how terpenoids in Gewürztraminer wine change over time when subjected to different temperatures and pH levels over two weeks. A theoretically-based approach was used, involving the definition of a complete system of ordinary differential equations (ODE) with well-established boundary conditions (initial concentration of reactants/products), using Kinetiscope, a kinetic simulation software. The calculated optimal rate constants, based on the experimental curves, produced a comprehensive data set describing the evolution of the terpenoid profile, highlighting the reversible and irreversible interconversion processes. Finding revealed that higher pH and lower temperature conditions are crucial for preserving the important terpenoid compounds that characterize the typicality and exemplarity of Gewürztraminer aroma profile.

Open-Source Hardware Design of Modular Solar DC Nanogrid

The technical feasibility of solar photovoltaic (PV) direct current (DC) nanogrids is well established, but the components of nanogrids are primarily commercially focused on alternating current (AC)-based systems. Thus, DC converter-based designs at the system level require personnel with high degree of technical knowledge, which results in high costs. To enable a democratization of the technology by reducing the costs, this study provides a novel modular plug-and-play open-source DC nanogrid. The system can be customized according to consumer requirements, enabling the supply of various voltage levels to accommodate different device voltage needs. The step-by-step design process of the converter, controller, data logger, and assembly of the complete system is provided. A time-domain simulation and stability analysis of the designed system were conducted in MATLAB/Simulink (version 2024b) as well as experimental validation. The results show that transforming the nanogrid from a distribution network to a device makes it suitable for various user-specific applications, such as remotely supplying power to campsites, emergency vehicles like ambulances, and small houses lacking grid electricity. The modular DC nanogrid includes all the features available in a DC distribution network, as well as data logging, which enhances the user experience and promotes the use of solar-powered DC grid systems.

3D oscillation-assisted laser beam cutting with time-synchronized process monitoring

A current subject of research is to optimize the laser cutting process in terms of process efficiency and cut edge quality, especially in thick sheet metal cutting. One approach is to influence the energy distribution in the cut kerf using various beam shaping options, including dynamic beam oscillation. The challenge lies in the fact that the oscillation parameters of beam shaping, which are added to the conventional laser cutting process, create an infinite number of new parameter combinations. For the first time, a complete system has been set up at the IWS in cooperation with the CMA with the aid of the process monitoring options. This system is intended to help provide deeper insights into the processes taking place in the cutting zone and thus contribute to an expanded understanding of the process. First experiments were carried out to investigate the influence of the 3D beam oscillations on the cut quality and cutting speed.

On the Nature of the Last Common Ancestor: A Story from its Translation Machinery.

The Last Common Ancestor (LCA) is understood as a hypothetical population of organisms from which all extant living creatures are thought to have descended. Its biology and environment have been and continue to be the subject of discussions within the scientific community. Since the first bacterial genomes were obtained, multiple attempts to reconstruct the genetic content of the LCA have been made. In this review, we compare 10 of the most extensive reconstructions of the gene content possessed by the LCA as they relate to aspects of the translation machinery. Although each reconstruction has its own methodological biases and many disagree in the metabolic nature of the LCA all, to some extent, indicate that several components of the translation machinery are among the most conserved genetic elements. The datasets from each reconstruction clearly show that the LCA already had a largely complete translational system with a genetic code already in place and therefore was not a progenote. Among these features several ribosomal proteins, transcription factors like IF2, EF-G, and EF-Tu and both class I and class II aminoacyl tRNA synthetases were found in essentially all reconstructions. Due to the limitations of the various methodologies, some features such as the occurrence of rRNA posttranscriptional modified bases are not fully addressed. However, conserved as it is, non-universal ribosomal features found in various reconstructions indicate that LCA's translation machinery was still evolving, thereby acquiring the domain specific features in the process. Although progenotes from the pre-LCA likely no longer exist recent results obtained by unraveling the early history of the ribosome and other genetic processes can provide insight to the nature of the pre-LCA world.

Functional conductivity imaging: quantitative mapping of brain activity.

Theory and modelling suggest that detection of neuronal activity may be feasible using phase sensitive MRI methods. Successful detection of neuronal activity both in vitro and in vivo has been described while others have reported negative results. Magnetic resonance electrical properties tomography may be a route by which signal changes can be identified. Here, we report successful and repeatable detection at 3 Tesla of human brain activation in response to visual and somatosensory stimuli using a functional version of tissue conductivity imaging (funCI). This detects activation in both white and grey matter with apparent tissue conductivity changes of 0.1 S/m (17-20%, depending on the tissue baseline conductivity measure) allowing visualization of complete system circuitry. The degree of activation scales with the degree of the stimulus (duration or contrast). The conductivity response functions show a distinct timecourse from that of traditional fMRI haemodynamic (BOLD or Blood Oxygenation Level Dependent) response functions, peaking within milliseconds of stimulus cessation and returning to baseline within 3-4s. We demonstrate the utility of the funCI approach by showing robust activation of the lateral somatosensory circuitry on stimulation of an index finger, on stimulation of a big toe or of noxious (heat) stimulation of the face as well as activation of visual circuitry on visual stimulation in up to five different individuals. The sensitivity and repeatability of this approach provides further evidence that magnetic resonance imaging approaches can detect brain activation beyond changes in blood supply.

Development of performance indicator for metal-organic frameworks in atmospheric water harvesting

This study aims at developing a new set of performance indicators for atmospheric water generation (AWG) via metal organic frameworks (MOFs). Several field studies report specific setup paired with particular MOF but often lack evaluation on a common benchmark for AWG which is focused in this study. The article lays down a stepwise procedure by extracting information from in-vivo material characteristics such as water adsorption isotherms and kinetics, to model MOF behaviour in AWG, and produce four novel quantifiers to describe the complete systems performance in terms of uptake, thermodynamics, surface projection, and kinetics. A model MOF-801 AWG has also been evaluated for a proof of concept. Furthermore, three independent water adsorption experiments on MOF-801 from the literature are compared based on as-developed indicators and ranked according to the performance of the system.

Near-infrared luminescence shift in Ni2+-doped double perovskite phosphors

For applications such as near-infrared (NIR) spectroscopy requiring energy-efficient and compact broadband NIR light sources, a variety of Ni2+-doped phosphors emitting in the 1100–2000 nm range has been developed. However, the commercialization of Ni2+-doped NIR phosphors has not yet been achieved, and material exploration is ongoing. To gain insight into the luminescence properties of Ni2+, including emission wavelength and efficiency influenced by compositional and structural variations, Ni2+-doped double-perovskite AELaMgTaO6:Ni2+ (AE = Ba, Sr, or Ca) ceramic samples were synthesized, and their optical properties were examined. Because the energy of the Ni2+ 3d-3d transition is sensitive to structural variations in the local environment around the Ni2+ ions, we investigated the variation in optical properties by indirect ligand field engineering of NiO6 octahedra following the substitution of alkaline earth ions AE2+. The prepared AELaMgTaO6:Ni2+ samples were Ba-Sr or Ba-Ca complete solid solution systems with cubic-to-monoclinic phase transitions. The broad NIR luminescence band at ∼1350–1700 nm was blue-shifted by ∼100 nm, accompanied by Sr2+ or Ca2+ substitution. The local symmetry of the NiO6 octahedra was reduced from Oh to Ci owing to the phase transition, resulting in an enhancement of the NIR luminescence intensity and an increase in the quenching temperature. This study demonstrated that Ni2+ phosphors with the desired optical properties for NIR spectroscopy applications can be designed by controlling the composition ratio of the host compounds and the resultant variation in the local environment of the solid solution compounds.

Supervised learning-based artificial senses for non-destructive fish quality classification

Human sensory techniques are inadequate for automating fish quality monitoring and maintaining controlled storage conditions throughout the supply chain. The dynamic monitoring of a single quality index cannot anticipate explicit freshness losses, which remarkably drops consumer acceptability. For the first time, a complete artificial sensory system is designed for the early detection of fish quality prediction. At non-isothermal storages, the rainbow trout quality is monitored by the gas sensors, texturometer, pH meter, camera, and TVB-N analysis. After data preprocessing, correlation analysis identifies the key parameters such as trimethylamine, ammonia, carbon dioxide, hardness, and adhesiveness to input into a back-propagation neural network. Using gas and textural key parameters, around 99 % prediction accuracy is achieved, precisely classifying fresh and spoiled classes. The regression analysis identifies a few gaps due to fewer datasets for model training, which can be reduced using few-shot learning techniques in the future. However, the multiparametric fusion of texture with gases enables early freshness loss detection and shows the capacity to automate the food supply chain completely.