Numerous Processes Research Articles

LncRNA-MSTRG.19083.1 Targets NTRK2 as a miR-429-y Sponge to Regulate Circadian Rhythm via the cAMP Pathway in Yak Testis and Cryptorchidism

Long noncoding RNAs (LncRNAs) play essential roles in numerous biological processes in mammals, such as reproductive physiology and endocrinology. Cryptorchidism is a common male reproductive disease. Circadian rhythms are actively expressed in the reproductive system. In this study, a total of 191 LncRNAs were obtained from yak testes and cryptorchids. Then, we identified NTRK2’s relationship to circadian rhythm and behavioral processes. Meanwhile, the ceRNA (LncRNA-MSTRG.19083.1/miR-429-y/NTRK2) network was constructed, and its influence on circadian rhythm was revealed. The results showed that NTRK2 and LncRNA-MSTRG.19083.1 were significantly upregulated, and miR-429-y was obviously decreased in cryptorchid tissue; NTRK2 protein was mainly distributed in the Leydig cells of the testis. In addition, the upregulation of the expression level of miR-429-y resulted in the significant downregulation of LncRNA and NTRK2 levels, while the mRNA and protein levels of CREB, CLOCK, and BMAL1 were significantly upregulated; the knockdown of miR-429-y resulted in the opposite changes. Our findings suggested that LncRNA-MSTRG.19083.1 competitively binds to miR-429-y to target NTRK2 to regulate circadian rhythm through the cAMP pathway. Taken together, the results of our study provide a comprehensive understanding of how the LncRNA-miRNA-mRNA networks operate when yak cryptorchidism occurs. Knowledge of circadian-rhythm-associated mRNAs and LncRNAs could be useful for better understanding the relationship between circadian rhythm and reproduction.

CXCL12 restricts tumor growth by suppressing the Ras, ERK1/2, c-Myc, and the immune checkpoint PD-L1 pathways

Cytokines constitute a family of proteins that modulate the immune system and are secreted by many cells. CXCL12, along with its receptor CXCR4, are essential players in numerous processes. Dysregulation of their function underlie the mechanism(s) of several pathologies, including malignancies. Here, we demonstrate an unexpected effect of the cytokine and its receptor: In both cells and animal models, CXCL12 restricts tumorigenicity of the human glioblastoma cells U87-MG and U-118, and of a cell line derived from PyMT mouse breast cancer. Overexpression of CXCL12 inhibits activation of the oncogene Ras which results in downregulation of its proliferative signals, such as reduced phosphorylation of the extracellular signal-regulated kinase 1/2 (ERK1/2), inhibition of c-Myc expression, and subsequent inhibition of cell cycle. Furthermore, CXCL12 induces downregulation of the growth differentiation factor 15 (GDF15), insulin-like growth factor-binding protein 6 (IGFBP6), and matrix metalloproteinase-3 (MMP3), which are implicated in sending metastases. Indeed, monitoring cell migration in vitro and generation of metastases in mice demonstrate that CXCL12 slows the migration of U87-MG and PyMT cells. Remarkably, overexpression of CXCL12 also downregulates the cell surface immune checkpoint protein programmed cell death-ligand 1 (PD-L1), resulting in recruitment of cytotoxic CD8 T cells into xenografts accompanied by their shrinkage. Overall, CXCL12 inhibits tumor growth through several distinct mechanisms: inhibition of cell cycle and migration, as well as impairment of immune checkpoint, thereby stimulating a strong host's immune response. The mechanism(s) that renders CXCL12 a tumor-promoting factor in certain cells and a suppressor in others has remained elusive.

Heparin Resistance in Patients Receiving Extracorporeal Membrane Oxygenation: A Review

Heparin resistance (HR) in patients on extracorporeal membrane oxygenation (ECMO) exacerbates bleeding and thrombogenesis. Thus far, there is no universal definition of what this condition entails and no unified strategy for assessing heparin’s efficacy in ECMO patients. The most frequent discrepancy when it comes to defining HR is the difference in the reported doses: units per day (U/d) or per kilogram per hour (U/kg/h). Another disagreement arises with regard to the various methods of measuring unfractionated heparin (UFH) efficacy. Due to numerous processes that begin with ECMO initiation, including protein layer formation on the surface of circuits, the recruitment of immune cells, the activation of complement and contact activation systems, and platelets, assessing pure antithrombin consumption is complicated. Moreover, there is an alternative anticoagulation procedure performed by a serine protease inhibitor named heparin cofactor II, which could also contribute to heparin consumption. Considering simultaneously launched processes of inflammation and thrombogenesis in response to contact with artificial surfaces on ECMO, we listed the possible mechanisms contributing to additional antithrombin consumption. The effect of the flow on the platelets’ activation and von Willebrand factor (vWF) assembly was also described. We reviewed the scientific literature from PubMed and Embase to identify possible definitions of heparin resistance during ECMO treatment among pediatric and adult cohorts. We identified 13 records describing different approaches to assessing HR and described our vision of delineating HR on ECMO.

Enzymatic Reaction Network-driven Polymerization-induced Transient Coacervation.

A living cell has a highly complex microenvironment whereas numerous enzyme-driven processes are active at once. These procedures are incredibly accurate and efficient, although comparable control has not yet been established in vitro. Here, we design an enzymatic reaction network (ERN) that combines antagonistic and orthogonal enzymatic networks to produce adjustable dynamics of ATP-fueled transient coacervation. Using horseradish peroxidase (HRP)-mediated Biocatalytic Atom Transfer Radical Polymerization (BioATRP), we synthesized poly(dimethylaminoethyl methacrylate), which subsequently formed coacervates with ATP. We rationally explored enzymatic control over coacervation and dissolution, using orthogonal and antagonistic enzyme pairs viz., alkaline phosphatase, Creatine phosphokinase, hexokinase, esterase, and urease. ATP-fuelled coacervates also demonstrate the enzymatic catalysis to prove its potential to be exploited as a cellular microreactor. Additionally, we developed ERN-polymerization-induced transient coacervation (ERN-PIC), with complete control over the system, polymerization, coacervation, and dissolution. Notably, the coacervation process itself determines functional properties, as seen in selective cargo uptake. The strategy offers cutting-edge biomimetic applications, and insights into cellular compartmentalization by bridging the gap between synthetic and biological systems. The development of temporally programmed coacervation is promising for the spatial arrangement of multienzyme cascades, and offers novel ideas on the architecture of artificial cells.

CsLAC4, regulated by CsmiR397a, confers drought tolerance to the tea plant by enhancing lignin biosynthesis

Drought is a prevalent abiotic stress that commonly affects the quality and yield of tea. Although numerous studies have shown that lignin accumulation holds significant importance in conferring drought tolerance to tea plants, the underlying molecular regulatory mechanisms governing the tea plant's response to drought remain largely elusive. LACCASEs (LACs), which belong to the class of plant copper-containing polyphenol oxidases, have been widely reported to participate in lignin biosynthesis in plants and are implicated in numerous plant life processes, especially in the context of adverse conditions. In this study, we detected the upregulation of CsLAC4 in response to drought induction. Remarkably, the overexpression of CsLAC4 not only substantially increased the lignin content of transgenic Arabidopsis thaliana but also simulated the development of vascular tissues, consequently leading to a significant enhancement in drought tolerance. Moreover, via dual-luciferase assays and transient overexpression in tea leaves, we revealed that CsLAC4 was negatively regulated by the upstream CsmiR397a. Interestingly, the expression of CsmiR397a was downregulated during drought stress in tea plants. Arabidopsis thaliana overexpressing CsmiR397a showed increased sensitivity to drought stress. By transient overexpression of CsmiR397a and CsLAC4 in tea plant leaves, we verified that CsLAC4, which is regulated by CsmiR397a, conferred drought tolerance to tea plants by enhancing lignin biosynthesis. These findings enhance our understanding of the molecular regulatory mechanisms underlying the response of tea plants to drought stress.

AlphaFold3 versus experimental structures: assessment of the accuracy in ligand-bound G protein-coupled receptors.

G protein-coupled receptors (GPCRs) are critical drug targets involved in numerous physiological processes, yet many of their structures remain unresolved due to inherent flexibility and diverse ligand interactions. This study systematically evaluates the accuracy of AlphaFold3-predicted GPCR structures compared to experimentally determined structures, with a primary focus on ligand-bound states. Our analysis reveals that while AlphaFold3 shows improved performance over AlphaFold2 in predicting overall GPCR backbone architecture, significant discrepancies persist in ligand-binding poses, particularly for ions, peptides, and proteins. Despite advancements, these limitations constrain the utility of AlphaFold3 models in functional studies and structure-based drug design, where high-resolution details of ligand interactions are crucial. We assess the accuracy of predicted structures across various ligand types, quantifying deviations in binding pocket geometries and ligand orientations. Our findings highlight specific challenges in the computational prediction of ligand-bound GPCR structures, emphasizing areas where further refinement is needed. This study provides valuable insights for researchers using AlphaFold3 in GPCR studies, underscores the ongoing necessity for experimental structure determination, and offers direction for improving protein-ligand interaction predictions in future computational models.

DNA Imprinting and Differentially Expressed Genes in Longissimus thoracis Muscle of Bos indicus Submitted to Early Weaning Management

Background/Objectives: Early weaning management followed by energy supplementation can lead to metabolic alterations in the calf that exert long-term effects on the animal’s health and performance. It is believed that the main molecular basis underlying these metabolic adaptations are epigenetic mechanisms that regulate, activate, or silence genes at different stages of development and/or in response to different environmental stimuli. However, little is known about postnatal metabolic programming in Bos indicus. Therefore, this study aimed to compare the DNA methylation profile of Nellore animals submitted to conventional and early weaning and to correlate the findings with genes differentially expressed in the Longissimus thoracis skeletal muscle of Bos indicus cattle. Methods: For this, we used Reduced Representation Bisulfite Sequencing (RRBS) and RNA-Sequencing techniques to prospect differentially methylated genes (DMGs). Results: A total of 481 differentially methylated regions were identified, with 52% (250) being hypermethylated and 48% (231) hypomethylated. Functional enrichment analysis of 53 differentially methylated and differentially expressed genes was performed. The main enriched terms and pathways were associated with 3′-5′-cyclic adenosine monophosphate (cAMP) signaling, which presents the upregulated adenylate cyclase 3 (ADCY3) gene and significatively hypomethylated in the promoter region. Alterations in cAMP signaling are involved in numerous processes, many of them related to lipid metabolism. The relative differential expression of key genes of this pathway demonstrates the relationship between cAMP signaling and de novo lipogenesis. Conclusions: These findings suggest an important role of postnatal metabolic programming through DNA methylation mechanisms in determining fat deposition in beef.

Supercritical Techniques for Pharmaceutical Applications

Supercritical fluid technology is an innovative approach that has been extensively explored in various research fields, since it offers a way to limit or replace the use of organic solvents in numerous industrial processes [...]

TokChat: Tokenization of Text for Secured Peer-to-Peer Communication

This paper presents TokChat, a system that utilizes a new approach designed for enhanced security in peer-to-peer communication using text messages. To improve the security of messages in a conversation, the system converts a message into tokens by leveraging existing pre-trained tokenizers that are commonly used across numerous natural language processing (NLP) tasks. The tokens represent a compact numerical form of text that captures the original message. A new private key is generated for every new conversation to ensure the confidentiality of the messages in the conversation. The tokens are encrypted using an existing AES-based cryptographic encryption approach, ensuring they can be securely transmitted to the recipient. The receiver receives the encrypted tokens, which are decrypted using the conversation-specific key. The decrypted tokens are converted to readable text using the tokenizer. The usage of the system ensures that the messages fail to be converted into readable text by successful attackers, even with the usage of the private conversation-specific key, without being aware of the tokenization process. The system offers a higher security standard for secure messaging in the use cases in which the confidentiality of the messages is crucial. The system has been tested using multiple text values and successfully tokenized the text, encrypted the tokens, decrypted the transmitted ciphertext, and reproduced the original text. The code is available at github.com/Pro-GenAI/TokChat. Keywords: natural language processing (NLP), tokenization, cryptographic messaging, secure communication

Modified Oxygen Metabolism Toward “Sunlight‐Friendly” Photodynamic Therapy

AbstractPhototoxicity poses a substantial challenge in photodynamic therapy, resulting in intolerable skin damage, visual impairment, and reduced quality of life. Current coping strategies, primarily focus on avoiding inappropriate photoactivation and developing targeted photosensitizers, have not effectively addressed this problem. Hence, this study aims to develop a “sunlight‐friendly” photodynamic therapy strategy. Here, 1‐methoxyphenazine methosulfate (MPMS) is innovatively identified as a key substance in achieving modified oxygen metabolism. MPMS demonstrates efficient catalytic shuttling under abnormal intracellular H2O2 levels, introducing a novel protective approach for oxygen metabolism and numerous life processes. By controlling MPMS administration, the switch of the photosensitizer states between “ON” (killing tumor cells) and “OFF” (safeguarding normal cells) can be achieved. This approach effectively mitigated phototoxicity and holds the potential for widespread clinical application.

Understanding genetic variants in context.

Over the last three decades, human genetics has gone from dissecting high-penetrance Mendelian diseases to discovering the vast and complex genetic etiology of common human diseases. In tackling this complexity, scientists have discovered the importance of numerous genetic processes - most notably functional regulatory elements - in the development and progression of these diseases. Simultaneously, scientists have increasingly used multiplex assays of variant effect to systematically phenotype the cellular consequences of millions of genetic variants. In this article, we argue that the context of genetic variants - at all scales, from other genetic variants and gene regulation to cell biology to organismal environment - are critical components of how we can employ genomics to interpret these variants, and ultimately treat these diseases. We describe approaches to extend existing experimental assays and computational approaches to examine and quantify the importance of this context, including through causal analytic approaches. Having a unified understanding of the molecular, physiological, and environmental processes governing the interpretation of genetic variants is sorely needed for the field, and this perspective argues for feasible approaches by which the combined interpretation of cellular, animal, and epidemiological data can yield that knowledge.

$N$-periodic wave solutions to the ${\cal N} =1$ supersymmetric Sawada-Kotera-Ramani equation

Abstract The $N$-periodic wave solvability problem for the ${\cal N} =1$ supersymmetric Sawada-Kotera-Ramani equation is considered by combining the Hirota's bilinear method and the super Riemann theta function. The constraint equations and unknown parameters are redefined, and the numerical calculation process of the $N$-periodic wave solutions are derived. It has been verified that under some certain conditions, the asymptotic relations between $N$-periodic wave solutions and $N$-soliton solutions can be established. Some numerical solutions of three-periodic wave are presented. Under the influence of the Grassmann variable, the three-periodic wave solutions will generate an influence band in the middle region, and the amplitude becomes bigger as the distance from the influence band increases.

How to describe the time-dependent dissolution of engineered nanomaterials?

Numerous processes such as solubility, agglomeration/aggregation, or protein corona formation may change over time and significantly affect engineered nanomaterial (ENM) structure, property, and availability, resulting in their reduced or increased toxicological activity. Therefore, understanding the dynamics of these processes is essential for assessing and managing the risks of ENMs during their lifecycle, ensuring safety by design. Of these processes, the importance of solubility (i.e., the ability to release ions from the surface) is undeniable. Thus, we propose a practical approach, the Kalapus equation (KEq), to determine ENMs' dissolution over time. As a proof-of-concept, the KEq was applied to determine the solubility of six commercially used metal and metal oxide nanoparticles over time. The KEq exhibited a higher coefficient of determination (R2=0.995-0.999) than the logarithmic equation (R2=0.835-0.986), and the pseudo-first-order equation (R2=0.915-0.994) over a range of experimental data. The newly introduced Kalapus equation outperformed the logarithmic and pseudo-first-order equations when extrapolating beyond the time range in which solubility was experimentally determined. The mean absolute error in solubility prediction for the KEq was 3.29% and 4.28% for the first and second data points, respectively, significantly lower than the 13.46% and 18.05% observed for the pseudo-first-order/first-order equation. The proposed equation can be used as a part of New Generation Risk Assessment (NGRA) methodology, especially new Integrated Approaches to Testing and Assessments (IATAs).

Role of glutaminyl-peptide cyclo-transferase-like protein (QPCTL) in cancer: From molecular mechanisms to immunotherapy.

Glutaminyl-peptide cyclotransferase-like protein (QPCTL) is a newly discovered enzyme that has sparked interest owing to its possible role in cancer genesis and progression. Initially discovered as a post-translational modification regulator of protein maturation, QPCTL has emerged as a key participant in cancer biology. Recent research has linked QPCTL to numerous essential cancer-related processes, including cell proliferation, migration, invasion, and apoptosis. Furthermore, QPCTL expression changes have been seen in a variety of cancer types, underlining its potential as a diagnostic and prognostic marker. The molecular mechanisms behind QPCTL's participation in cancer will be examined in this review. We investigate its involvement in the control of signaling pathways and the modification of cellular activities that are important in cancer. We also examine the clinical importance of QPCTL, including as its relationship with tumor development, metastasis, and response to treatment. We also discuss the possible therapeutic implications of targeting QPCTL in cancer therapy. QPCTL is a prospective target for the development of innovative anticancer treatments due to its participation in several cancer-associated pathways.

Capillary Electrophoresis-Frontal Analysis (CE-FA) and Molecular Docking Studies on the Albumin-Binding Properties of Dopamine and Serotonin.

Dopamine and serotonin are neurotransmitters that are crucial for numerous physiological processes, including mood regulation, reward, and motor function. Dysregulation of these neurotransmitters is associated with various neuropsychiatric disorders. Albumin in plasma modulates the bioavailability of drugs and free concentrations of bioactive constituents. This study aimed to characterize the interactions of dopamine and serotonin with bovine serum albumin. Capillary electrophoresis in the frontal analysis mode was utilized as an effective method to assess dopamine-bovine serum albumin and serotonin-bovine serum albumin affinity. The free neurotransmitter plateaus were distinctly separated from the bovine serum albumin-neurotransmitter complex plateaus. Free dopamine and serotonin concentrations were determined by monitoring the heights of their respective plateaus. In contrast, the bound concentrations were calculated from the difference between the total and free plateau heights. Dopamine and serotonin were found to bind to bovine serum albumin at independent sites with binding constant values of 1.90×103 and 2.90×103L/mol, respectively. Additionally, an in silico molecular docking approach revealed the binding sites for dopamine and serotonin near the glutamic acid-291 and serine-428 residues of bovine serum albumin, respectively.

METTL3 improves the development of somatic cell nuclear transfer embryos through AURKB and H3S10ph in goats.

Developmental abnormalities are more common in somatic cell nuclear transfer (SCNT) embryos due to epigenetic barriers that occur during the maternal-to-zygotic transition (MZT). N6-methyladenosine (m6A) is an RNA epigenetic modification that plays a significant role in numerous biological processes. However, the relationship between m6A and SCNT embryonic development is largely unexplored. In the present study, we found that the low expression of m6A methyltransferase-like 3 (METTL3) was associated with developmental arrest before zygotic genome activation (ZGA) in goat SCNT embryos and that karyokinesis defects were evident during their development. Notably, we demonstrated that METTL3 overexpression rescued the karyokinesis abnormalities, enhanced embryonic development and elevated the blastocyst formation rate. Further experiments revealed that METTL3 could mitigate the defects of maternal mRNA degradation, enhance the translation of Aurora kinase B (AURKB) and increase the phosphorylation of serine 10 on histone H3 (H3S10ph) to ensure the normal karyokinesis in SCNT embryos before ZGA in goats. Overall, our study highlights the essential role of METTL3 in enhancing the development of goat SCNT embryos. These findings indicate that METTL3 is critical for optimal SCNT efficiency and advance our understanding of m6A's role in embryonic development.

Developing and validating an adaptive multi-layer vehicle trajectory reconstruction method for outlier removal

Trajectory data is vital for traffic flow studies, and aerial photography-based methods are increasingly used to collect such data. However, these datasets often contain errors from various sources, which can be exacerbated by numerical derivative processes. Previous efforts have not fully addressed some of these issues such as consistency, varying length of outlier sequences, and unknown ground truth trends. Moreover, existing validation methods are often indirect and problematic. To address these limitations, we propose an adaptive multi-layer vehicle trajectory reconstruction method, which consists of three modules: the Initial Window Arrangement module to ensure the precise alignment between the reconstruction window and detected outlier fragments, maintaining internal consistency at boundary points; the Window Size Feasibility Test module to adaptively determine the window size according to varying length of outlier sequences, and XGBoost-based Ground Truth Estimation module to be combined with a least-square-based objective function to significantly improve reconstruction accuracy and more closely replicate the underlying trend. Additionally, we introduce the jerk-based reconstruction, which outperforms the acceleration-based reconstruction. To reliably assess and select the best ground truth estimation scheme and objective function, a novel synthetic dataset containing both the ground truth and realistic outlier fragments is proposed. Subsequently, a comparative evaluation of six different outlier removal methods was conducted using Zen Traffic Data. The validation results, utilizing both the synthetic dataset and Zen Traffic Data, demonstrate the exceptional performance of the proposed method across various evaluation perspectives. The good performance of the proposed outlier removal method is further demonstrated by comparing the IDM calibration results using the trajectories with and without outliers being removed. With just one parameter (jerk anomaly threshold), the parameter settings of our method are more objective and generalizable.

Omeprazole and its analogs exhibit insecticidal potencies as inhibitors of insect choline acetyltransferase

Choline acetyltransferase (ChAT) is crucial for acetylcholine synthesis and regulates diverse functions in numerous biological processes. Omeprazole, an inhibitor on human ChAT, was evaluated here on insect ChAT as a potential inhibitor, as well as its insecticidal potency on Nilaparvata lugens, a major insect pest on rice. The evaluation also included omeprazole analogs and α-NETA, in order to explore a superior leading compound targeting on insect ChAT. In toxicity test, α-NETA and omeprazole exhibited insecticidal activity, among which omeprazole exhibited activity with a mortality of around 50 % on N. lugens nymphs at 0.4 mg/mL. In vitro crude enzyme assays showed that omeprazole acted as an inhibitor on insect ChAT with a high selectivity and exciting potency compared with α-NETA and control. Three residues (Tyr84, Val95, Tyr589) was critical in N. lugens ChAT for interacting with its substrate choline through molecular docking, and it also revealed that omeprazole exhibited a higher binding affinity toward ChAT catalytic tunnel compared with α-NETA. Based on this, we screened omeprazole analogs for their affinity to N. lugens ChAT, and two compounds stood out. The 5-hydroxy omeprazole had the highest binding affinity by prediction, and 5-O-desmethyl omeprazole was with the lowest binding affinity. The toxicity bioassay and enzyme activity test were then performed on these two compounds. Aligned with the docking results, 5-hydroxy omeprazole showed a strong inhibitory effect and insecticidal activity. In summary, omeprazole and 5-hydroxy omeprazole could serve as lead compounds for insecticides targeting on insect ChAT, a novel target.

Comprehensive insight into recent algal enzymes production and purification advances: Toward effective commercial applications: A review.

Algal enzymes are essential catalysts in numerous biological reactions and industrial processes owing to their adaptability and potency. The marketing of algal enzymes has recently risen due to various reasons, including the cost-efficient manner of their cultivation in photobioreactors, the eco-friendly production of high biomass contents, sources of novel enzymes that used in many sectors (biofuel and bioremediation applications), sustainability, and more renewability. Oxidoreductases and hydrolytic enzymes are among the important applied algal enzymes in industrial applications, with annually growing demand. These algal enzymes have opened up new avenues for significant health advantages in reducing and treating oxidative stress, cardiovascular illness, tumors, microbial infections, and viral outbreaks. Despite their promising uses, commercial applications of algal enzymes face many difficulties, such as stability, toxicity, and lower data availability on specific and adequate catalytic mechanisms. Therefore, this review focuses on the algal enzyme types, their uses and advantages over other microbial enzymes, downstream and upstream processing, their commercial and marketing, and their challenges. With the constant development of novel enzymes and their uses, enzyme technology provides exciting options for several industrial sectors.

A Comprehensive Review on Fouling of Heat Transfer Units in Sugar Factory Ethanol Plant: Mechanisms and Mitigation Methods

ABSTRACTFouling in heat transfer units has a negative economic impact. Many scale‐forming impurities are present in cane molasses generated by sugar cane production technology, including cations of aluminum (Al), calcium (Ca), iron (Fe), magnesium (Mg), potassium (K), sodium (Na), as well as anions of carbonates, sulfites, phosphates, sulfate, silicates, and chlorides. Ca cations, in particular, form insoluble complexes with many other chemical constituents, making them a scale‐forming impurity. The accumulation of Ca ion on the heat exchanger's surface could increase heat transfer resistance and reduce its overall efficiency. This article reviews many types of heat‐transmitting unit fouling and their successive fouling occurrences. Identifying the chemicals found in scale deposits helps to determine which cleaning products will effectively clean heat transfer units and which scale inhibitors will drastically lower scale formation rates. Furthermore, numerous unit operations and unit processes, such as molasses pre‐treatment and pre‐fermentation practice (inoculation of yeast), followed by fermentation practice, and product purification practice distillation, are used to limit deposit formation and boost ethanol production efficiency. Molasses pre‐treatment and treatment such as chemical treatment, heat treatment, acid centrifugation, and mechanical treatment are critical in decreasing scale development during heat exchange operations.