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Acid and bases

Difference Between Acids and Bases

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Acids and Bases play an important role in chemistry. We see them everywhere in our day-to-day lives, from our cleaning agents; soaps and detergents, to baking soda. Acids and bases (alkaline earth metal chemical elements) are 2 categories of corrosive substances. Any compound with a pH value between zero to seven is considered acidic, whereas a pH value between seven to fourteen is a base. An acid is called a proton donor, while a base is called a proton acceptor (Kolb, 1978).

 

Difference in Definition
Acid

An acid is a molecule or substance that has a pH value of less than 7.0 when it is present in an aqueous solution. An aqueous solution is any solution where water is a solvent. Acids are termed as compounds that donate H+ (hydrogen ion) to another compound known as base.

 
Base

A base (alkaline) is a molecule or substance that has a pH value higher than 7.0 when present in an aqueous solution. Bases are the exact chemical opposite of acids. In chemistry. They are substances that, in an aqueous solution, release hydroxide (OH) ions.

 
Arrhenius Concept (Ouertatani et al, 2007)
Acids

As per Arrhenius Concept, an acid elevates the concentration of Hydrogen ions when dissolved in water.

Bases

As per Arrhenius Concept, a base is a compound that increases the concentration of hydroxide ions (OH) when dissolved in water.

 
Bronsted-Lowry Concept (Kauffman, 1988)
Acids

In the Bronsted-Lowry Concept, acids are substances that donate protons

Bases

Bases, on the other hand, are substances that accept protons

 

Lewis Concept (Brewer, 1984)
Acids

Ions that accept the pair of electrons (electron pair acceptor – an electrophile), and possess vacant orbitals are termed ‘Lewis acid’.

Bases

Ions that donate a pair of electrons (electron-pair donor – a nucleophile), and possess a lone pair of electrons are termed ‘Lewis base’.

 

Difference in Classification
Acids

Acids are classified as:

  • Strong acids, such as nitric acid (HNO3), sulfuric acid (H2SO4), and hydrochloric acid (HCl) respectively.
  • Strong Lewis acids, such as AlCl3 (anhydrous aluminum chloride) and BF3 (boron trifluoride).
  • Concentrated weak acids, such as acetic acid (CH3COOH) and formic acid (CH2O2).
  • Lewis acids with specific reactivity, for example; solutions of ZnCl2 (zinc chloride).
  • Superacids, are extremely strong acids.
Bases

Bases are classified as:

  • Alkalis or Caustics, such as NaOH (sodium hydroxide) and KOH (potassium hydroxide).
  • Concentrated weak bases, such as NH3 (ammonia) in a concentrated solution.
  • Alkali metals in metallic form, (i.e. elemental sodium), and hydrides of alkaline and alkali earth metals, i.e. NaH (sodium hydride), which function as a strong hydrate and bases to produce caustics.
  • Superbases, which are extremely strong bases, such as metal amides, alkoxides, (i.e. NaNH2 – sodium amide), and C4H9Li (butyllithium), which is an organometallic base.
Difference in Chemical Formula
Acids

The chemical formula for most acids starts with H. For Examples, Nitric acid (HNO3), Carbonic acid in soft drinks (H2CO3), Boric acid (H3BO3), Hydrochloric acid (HCl), Oxalic Acid (H2C2O4), Citric Acid or 2-Hydroxy-1,2,3-propane tricarboxylic acid (H3C6H5O7), and Sulfuric acid (H2SO4). However, there are exceptions like Acetic Acid (CH3COOH).

Bases

The chemical formula for most bases (compounds) has OH at the end. For example, Calcium hydroxide or slaked lime, Ca (OH)2 (paper, flocculant), Magnesium hydroxide (Mg (OH)2) or milk of magnesia, Sodium hydroxide (NaOH) or caustic soda (cleaning agent, pH regulator), Ammonium hydroxide (NH4OH) or ammonia water and KOH (Potassium hydroxide).

 
Difference in pH
Acids

Acids have a pH of less than 7.0.

Bases

Bases have a pH higher than 7.0, and could even go up to 14 if the bases are very strong.

 
Strength of Acids and Bases
Acids

The strength of acids depends on the concentration of hydronium ions (Umansky, 1991).

Bases

The strength of bases depends on the concentration of hydroxide ions.

Differences in Physical Characteristics

Both acids and bases are different in their physical properties.

Acids

When dissolved in water, acids

  • Are Sticky
  • Have a burning sensation
  • Change blue litmus to red color
  • Are sour in taste
  • React with bases for neutralization of their properties
  • Conduct electricity
  • React with active metals to liberate H (Hydrogen)
  • Remain colorless when Phenolphthalein is added to the solution.
Bases

When dissolved in water, bases

  • Are bitter in taste
  • Are (except ammonia)
  • Change red litmus to blue color
  • Are slippery to the touch
  • React with acids to neutralize their respective properties
  • Turn pink when Phenolphthalein is added to the solution.
Difference in Ionization
Acids

Acids are species or compounds that break apart in H2O to form a hydrogen ion (H+). So, it can be said that acids form Hydronium ions on ionization (Schultz, 1997).

Bases

Bases result in Hydroxyl ions on ionization (Nyasulu et al, 2013).

 
Difference in Dissociation
Acids

Acids release H+ (Hydrogen ions) when mixed with water (H20).

Bases

Bases release OH (Hydroxide ions) when mixed with water (H20).

 
Differences in Uses
Acids
  • Used for household cleaning.
  • Used for industrial purposes: Acids, i.e. Sulfuric acid and Nitric acid are both commonly used in paints, dyes, fertilizers, and explosives.
  • Used as a metal dissolver: Hydrochloric acid (HCl) is used to make aqua regia, which assists in dissolving noble metals like platinum and gold (Jadhav & Hocheng, 2015).
  • Acids (i.e. Sulfuric acid) are used to make batteries for flashlights and cars. Sulfuric acid is also used in mineral processing (Ntengwe, 2010).
  • They are used to ward off rust and corrosion from metals, by means of a technique termed ‘pickling.’
  • In the chemical industry, acids are used as neutralizers in the production of salts. For example, nitric acid (HNO3) reacts with ammonia NH3 for the production of ammonium nitrate – a fertilizer.
Bases
  • Sodium hydroxide (NaOH) is used in manufacturing soap, synthetic fiber rayon, and paper. It is also used in manufacturing some medicines and petroleum-refining, in cleaning sinks, ovens, and drains (Malkin, 2003).
  • Sodium bicarbonate (NAHCO3) is used in toothpaste, fire extinguisher, and baking soda.
  • Calcium hydroxide (slaked lime) is used in the manufacture of bleaching powder. It is mixed with water and sand to create mortar that is used in the construction of buildings. Slaked lime is also made used by the farmers on the fields for neutralizing the dangerous effects of acid rain. Calcium hydroxide also neutralizes the acid in water supplies and is used as a dressing material for burns caused by acid, as an antidote for cases of food poisoning, in the making of fungicides, in the whitewash mixture, and in dentistry (Smith et al, 2014) (Mohammadi & Dummer, 2011).
  • Alkalis (Bases) are used in alkaline batteries like potassium hydroxide (Salkind, & Klein, 2000). They are also used in antiperspirant armpit deodorant, and in neutralizing soil acidity (Stenzaly‐Achtert et al, 2000) (Merry, 2009).
  • Ammonium hydroxide (NH4OH) is used to clean grease stains from clothes (Malanova et al, 2014).
 
Comparison Chart – Acids VS Bases

Characteristics

Acids

Bases

Definition

A substance, mostly liquid that donates a proton or accepts an electron pair in reactions. An acid increases the concentration of H+ ions.

A base is a substance that releases hydroxide (OH-) ions in aqueous solution, donates electrons and accepts protons.

Bronsted Lowry Definition

An acid is a proton donor.

A base accepts a proton.

pH (concentration of hydrogen ions in a solution)

Acids possess a pH value <7.

Bases possess a pH value >7.

Phenolphthalein indicator

An acid remains colorless.

A base gives a pink color.

Litmus paper test

Turns blue litmus paper to red color.

Turns red litmus paper to blue color.

Chemical formula

The chemical formula begins with H in case of acids. For example, Hydrochloric acid (HCl).

The Chemical formula ends with OH in case of bases. For example, Sodium Hydroxide (NaOH).

Strength

Depends on the concentration of hydronium ions.

Depends on the concentration of hydroxide ions.

Dissociation

Acids dissociate to release hydrogen ions (H+) when mixed with water.

Bases dissociate to release hydroxide ions (OH) when mixed with water.

Uses

Used as a household cleaning agent, in carbonated drinks, in processing leather, and in preservatives and fertilizers.

Used in soaps, detergents, gastric medicines (antacid).

 

Conclusion

Acids and bases impact daily life because they play a major and important role in many reactions, from digesting food to removing soap scum off a shower wall. Acids and bases are significant in balancing the pH levels in the body so that it stays at a level of 7. When a person consumes acidic foods, the body uses a buffering system to neutralize the positive ions produced by the acids. On the other hand, bases are required to regulate and control the body from becoming too alkaline.

We conclude that both acids and bases are an important part of life, and are found in the environment, in foods, and in chemicals, including pharmaceuticals. They are vital, not only in the chemistry laboratory but also in our daily lives.

References
  1. Brewer, L. (1984). The generalized Lewis acid-base theory: Surprising recent developments.
  2. Jadhav, U., & Hocheng, H. (2015). Hydrometallurgical recovery of metals from large printed circuit board pieces. Scientific reports, 5, 14574.
  3. Kauffman, G. B. (1988). The Bronsted-Lowry acid-base concept. Journal of Chemical Education, 65(1), 28.
  4. Kolb, D. (1978). Acids and bases. Journal of Chemical Education, 55(7), 459.
  5. Malanova, N. V., Korobochkin, V. V., & Кosintsev, V. I. (2014). The application of ammonium hydroxide and sodium hydroxide for reagent softening of water. Procedia Chemistry, 10, 162-167.
  6. Malkin, H. M. (2003). Concept of acid-base balance in medicine. Annals of Clinical & Laboratory Science, 33(3), 337-344.
  7. Mohammadi, Z., & Dummer, P. M. H. (2011). Properties and applications of calcium hydroxide in endodontics and dental traumatology. International endodontic journal, 44(8), 697-730.
  8. Ntengwe, F. W. (2010). The leaching of dolomitic-copper ore using sulfuric acid under controlled conditions. Open Mineral Processing Journal, 3, 60-67.
  9. Nyasulu, F., McMills, L., & Barlag, R. (2013). Weak Acid Ionization Constants and the Determination of Weak Acid-Weak Base Reaction Equilibrium Constants in the General Chemistry Laboratory. Journal of Chemical Education, 90(6), 768-770.
  10. Ouertatani, L., Dumon, A., Trabelsi, M. A., & Soudani, M. (2007). Acids and bases: The appropriation of the Arrhenius model by Tunisian grade 10 students. International Journal of Science and Mathematics Education, 5(3), 483.
  11. Salkind, A. J., & Klein, M. (2000). Batteries, Alkaline Secondary Cells. Kirk‐Othmer Encyclopedia of Chemical Technology.
  12. Schultz, E. (1997). Ionization or dissociation? Journal of chemical Education, 74(7), 868.
  13. Smith, A. N. D. R. E. W., Verhelst, F. R. E. D. E. R. I. K., Denayer, C. H. R. I. S. T. O. P. H. E., & Givens, R. I. C. H. A. R. D. (2014). Quantifying the benefits of lime additions in cement-based mortars. In Proceedings of the IMC.
  14. Stenzaly‐Achtert, S., Schölermann, A., Schreiber, J., Diec, K. H., Rippke, F., & Bielfeldt, S. (2000). Axillary pH and influence of deodorants. Skin Research and Technology, 6(2), 87-91.
  15. Umansky, B., Engelhardt, J., & Hall, W. K. (1991). On the strength of solid acids. Journal of Catalysis, 127(1), 128-140.

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Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

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