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Processes

Processes is an international, peer-reviewed, open access journal on processes/systems in chemistry, biology, material, energy, environment, food, pharmaceutical, manufacturing, automation control, catalysis, separation, particle and allied engineering fields published semimonthly online by MDPI.
The Brazilian Association of Chemical Engineering (ABEQ) is affiliated with Processes and its members receive discounts on the article processing charges. Please visit Society Collaborations for more details.

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All Articles (19,555)

Conventional anomaly diagnosis methods often treat process faults and model drift as distinct, independent issues: anomalous behavior is attributed to process problems, whereas drift is seen as a secondary concern. This traditional perspective neglects the fact that, when a fault is detected, the first diagnosis that must be provided regards the source of the observed deviation: a process fault or a model malfunction. In this context, the present study tackles this fundamental diagnosis problem, proposing that effective anomaly diagnosis should distinguish process faults from model inadequacies originating from operational changes. To address this challenge, the Nearest Normal Value (NNV) contribution analysis technique was developed to quantify individual variable contributions through counterfactual analysis. Unlike conventional diagnostic methods that rely on static references, the NNV technique provides contribution profiles that characterize the operational state dynamically. The methodology was validated using three distinct datasets, including actual operational data from an oil production system. On real data, the normalized dispersion index (S) decreased from 0.92 to 0.58 during a documented fault (37% change), whereas it changed from 0.76 to 0.63 during an operating mode shift (17% change), showing, thus, distinct contribution signatures for faults versus drift-related regime changes. The findings suggest that incorporating the proposed approach into anomaly diagnosis systems could reduce false alarms and improve diagnostic accuracy in dynamic industrial environments where operating conditions evolve over time.

7 March 2026

Types of drift in a classification setting. The axes represent the feature space 
  
    X
  
, and 
  
    y
  
 denotes the class label (indicated by the circle colors). The dashed line represents the decision boundary of the model.
  • Feature Paper
  • Article
  • Open Access

The aim of this study was to model the inactivation of Bacillus coagulans vegetative cells subjected to thermal processing (60–90 °C, 1–30 min) and pulsed electric fields (PEF) (11, 15, and 20 kV/cm, up to 0.12 s, 20 Hz, 15 μs pulse width) at different pH environments (4.0 to 7.0) and in real food matrices (peach puree and carrot juice). Microbial survival data were successfully described using the Gompertz model. Thermal experiments confirmed the high heat resistance of B. coagulans, with maximum survival observed at pH 5.0–6.0. PEF treatments were effective in inactivating vegetative cells, with more intense PEF conditions leading to faster inactivation. Complete inactivation was achieved in less than 15 ms at low pH (4.5), while more than 120 ms was required at pH 6.0. Preheating samples to 50–60 °C prior to PEF significantly reduced the PEF processing time needed for full inactivation, by approximately 88%. In food matrices, the inactivation rate in peach puree was twice as high as in carrot juice, but up to 8 times lower than in buffer solutions. Cells were inactivated twice as fast in peach puree as in carrot juice. This study provides quantitative technical parameter references for optimizing non-thermal processing technologies for acidic/weakly acidic fruit and vegetable products.

7 March 2026

(a) Bacillus coagulans growth curve at 45 °C for 24 h in BHI broth solution under aerobic conditions. Correlation between microbial load (logCFU/g) and absorbance. (b) Microbial load (logCFU/g) of Bacillus coagulans in different pH buffer solutions ranged from 3.5 to 7.0. ND: Not detected, detection limit < 1.0 logCFU/g.

To investigate the motion mechanism and kinetic energy loss characteristics of wheat particles in a horizontal–vertical upward bend pipe, different curvature radii, gas velocities, and particle mass flow rates are used to study changes in particle velocity, the inter-particle contact force, and the particle–wall contact force in this study. The results indicate that larger curvature radii weaken the inter-particle contact force. The velocity difference between particles inside and outside of the bend first increases and then decreases at the elbow. Increasing the gas velocity increases the particle velocity and the particle–wall contact force. It also enlarges the velocity gap between the inner and outer particles of the bend, while weakening the inter-particle contact force. With an increase in the mass flow rate, the particle–wall contact force gradually rises at 0–30° of the bend, and then gradually falls at 30–90°. Meanwhile, the inter-particle contact force is enhanced. A higher gas velocity leads to a greater loss of particle kinetic energy caused by collisions. The velocity difference exhibited by particles on the inner and outer sides of the bend remains basically unchanged. The maximum inter-particle and particle–wall contact force is around the 30° bend angle.

7 March 2026

Schematic of particles flowing through a bend.

With the continuous advancement of the construction of new power systems, the coordinated development of source-grid-load-storage has become imperative. This paper proposes a coordinated dispatch strategy for source-grid-load-storage in active distribution networks oriented toward zero-carbon goals. First, this paper introduces the concepts of the green electricity index and zero-carbon pathway constraints. Building upon this foundation, a coordinated dispatch model for source-grid-load-storage in active distribution networks is constructed, aiming for optimal economic performance while considering equipment and system operational constraints. On the other hand, this paper employs Information Gap Decision Theory (IGDT) to construct uncertainty sets for renewable energy output and load demand, proposing a comprehensive deviation coefficient calculation method. This approach reduces the conservativeness of dispatch decisions while ensuring their robustness. Considering the nonlinear characteristics of the model, an improved sparrow search algorithm is adopted to enhance solution efficiency. Finally, validation using the IEEE-33 node test system demonstrates the effectiveness and feasibility of the proposed method.

6 March 2026

Schematic diagram of the solution process for the proposed algorithm.

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Phytochemicals

Extraction, Optimization, Identification, Biological Activities, and Applications in the Food, Nutraceutical, and Pharmaceutical Industries
Editors: Ibrahim M. Abu-Reidah
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Processes - ISSN 2227-9717