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In this chapter, we identify some of the important early research that served as the foundation of sensory evaluation. Beginning in the mid-nineteenth century, the work of Weber and Fechner on the just-noticeable difference method and Thurstone's research on measurement in the first half of the twentieth century enabled increased use of sensory testing. Subsequent developments at the USDA, the US Army Quartermaster Food and Container Institute, Arthur D. Little, Peryam & Kroll, Mobile Sensory Testing Service (MSTS UK), Sensory Spectrum, Moskowitz Jacobs, and Tragon Corporation, among others, set the stage for developing business applications of sensory information as an integral part of the product development process. Early on, companies including General Foods, Kraft, Nabisco, Nestle, RJ Reynolds, McCormick, Campbell's, Ocean Spray, Dole, Clorox, PepsiCo NutraSweet, among many other corporations developed structured sensory programs with the R&D teams. Formal recognition was realized with academic courses at the University of California at Davis in the early 1950s, the establishment of the ASTM International Committee E-18 on Sensory Evaluation in 1960, the Sensory Evaluation Division of IFT (Institute of Food Technology) in the early 1970s, along with the Association for Chemoreception Sciences (AChemS), and the European Sensory Network in the early 1980s and the Sensometric Society in the 1990s. The first Pangborn Symposium was held in 1992 in honor of the late Rose Marie Pangborn and is now the premier international conference on sensory and consumer science, held bi-annually. The Society of Sensory Professionals (SSP) was founded in 2008 and other country-specific chapters that focus on this field. All of these professional organizations fuel the application of methods and are where scientists continue to gather and exchange information on sensory and consumer research. Finally, in this chapter we connect these foundational developments to today's efforts creating products with optimal sensory characteristics.

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Sensory evaluation is the scientific discipline used to evoke, measure, analyze, and interpret human reactions to various stimuli in the realm of food and beverages, as perceived through senses. This field endeavors to reduce uncertainties and risks in decision-making. Conventionally, several sensory methods (discriminative, descriptive, and affective) have been used in both industry and academic settings to study about diverse range of stimuli. Discrimination tests, such as triangle tests, duo-trio test, paired comparison tells whether the products are different or not without quantifying the magnitude of difference. The number of panelists should be determined before the test, depending on the difficulty of the task. Descriptive tests, conducted by highly trained panels, delves into the attributes and their intensities within a product. Affective test used to determine consumer preferences and likings and involves untrained panelists to provide feedback on stimuli. A typical consumer test involves more than 75 untrained panelists evaluating food and beverages for various stimuli. Sensory evaluation is extensively used in new product development, marketing, reformulation, quality control, and product shelf-life testing in the industry. The academia wing of sensory science delves deeply to understand how senses work, how senses respond to stimuli, and improve testing methodology.

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The sensory evaluation process includes guidelines for preparing and serving samples under controlled settings to limit the impact of biasing influences. Sensory evaluation can be divided into two conceptual methods: subjective and objective evaluations. Subjective sensory evaluation relies on human senses and perceptions, while objective sensory evaluation uses instruments or defined processes. In subjective methods, sensory organs perceive the food's properties in a relative and multivariate manner, often comparing them with a mental reference. Sensory analysis data is then statistically assessed and interpreted using the five senses of trained judges: sight, touch, smell, taste, and hearing. However, subjective sensory analysis is prone to biases arising from external conditions, official procedures, physiology, behaviours, and the choices of sensory panellists. Objective sensory analysis is performed using instruments to improve the reliability of sensory results and reduce potential biases. Objective methods are considered more reliable than subjective testing since they eliminate human bias or interpretation. In objective methods, instruments perceive and characterize the food product in an absolute and univariate manner. Instruments such as electronic eye (e-eye), electronic nose (e-nose), gas chromatography-olfactometry (GC-O), electronic tongue (e-tongue), electromyography (EMG), electroencephalography (EEG), pulse oximeters, EDA, and wearable sensors are commonly used for objective-based sensory analysis.

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This chapter provides a comprehensive examination of the conventional and objective-based sensory techniques used in product evaluation and quality control across various industries. It highlights the strengths and limitations of each approach, with conventional methods relying on human sensory panels for direct product assessment, and objective techniques utilizing technological instruments to measure sensory attributes quantitatively. The chapter discusses the integration of advanced computational models, artificial intelligence, and machine learning to enhance the accuracy, efficiency, and objectivity of sensory data analysis. Furthermore, it explores the engineering challenges and ethical considerations involved in implementing these technologies, particularly in maintaining consistency and managing data privacy. Looking ahead, the chapter considers the potential of merging conventional and objective-based methods to create hybrid systems that leverage the benefits of both human sensitivity and machine precision. This approach aims to address current limitations and expand the capabilities of sensory evaluation practices, ultimately improving product development, quality assurance, and consumer satisfaction.

Pages: 49

Sensory analysis is crucial in understanding customer behavior toward food products by evaluating sensory attributes using taste, visual, and olfactory senses. The different volatile or aroma compounds in foods are the key determinants of consumer acceptance. Humans perceive aroma through their olfaction system, a complex, intricate mechanism that involves multiple neurological responses and brain activity. However, traditional sensory analysis faces challenges like sensitivity decline with age, individual variability, and potential errors from genetic diversity. Engineering advancements, such as gas chromatography (GC) and electronic noses (e-noses), address these limitations, offering precise detection and quantification of aroma compounds. The advent of GC revolutionized aroma analysis as it led to the emergence of different analytical aroma analysis techniques like GC-mass spectrometry (GC-MS), GC-ion mobility spectroscopy (GC-IMS), GC-olfactometry (GC-O), and two-dimensional comprehensive gas chromatography–olfactometry–time-of-flight MS (GC×GC-O-TOF-MS). Besides the GC techniques, artificial sensing like e-nose and spectroscopy technologies combined with different multivariate techniques and chemometrics can help in rapid aroma analysis. Integrating sensory analysis with different molecular techniques and combining advanced instrumentation can enhance our understanding of aroma perception and consumer preferences.

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Concerning human nutrition, the sensation identified as taste refers to a distinguishing sensory experience stimulated by food ingestion and several compounds throughout the mouth and on the tongue. Moreover, the palate influences the whole coziness within the oral cavity, as well as an important characteristic for the evaluation of the food compounds. Consequently, understanding the substantial foundation of taste sensation might be encouraging so as to extend the understanding of taste, properly hiding the disagreeable palate, and illustrating the mode of action for taste identification. In this chapter the elementary physiology of the mechanism of taste will also be discussed. Moreover, numerous technique for the recognition of taste is also reviewed. The notion of e-tongues is widely applied to biosensing with the aid of sensing elements proficient in chemical recognition, similar to films by restrained enzymes containing particular compounds with regard to clinical studies. Predominantly, the uses, merits, and demerits of numerous engineering advanced taste identification, and assessment approaches are also summarized comprehensively. In conclusion, the future of taste component detection is discussed.

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A biomechanical viewpoint is used for the masticatory system's movement features. It is founded on the application of the three basic laws of mechanics to the numerous anatomical systems that make up the masticatory system. The factors that determine jaw movement are evaluated by analyzing the stresses and torques that teeth, articular capsules, joints, and muscles apply to the mandible. The idea that the lower jaw's center of gravity, rather than a hinge axis close to its joints, is where forces interact is presented. The primary factors influencing jaw movement are the muscles. The orientation of each muscle's line of action with regard to the lower jaw's center of gravity can be used to calculate the contribution of each muscle to jaw movements. They accelerate the jaw's six-degree range of motion. Because any muscle can affect all six degrees of freedom, the system is kinematically and mechanically unpredictable. Furthermore, rather than being limited by passive factors, the dynamical characteristics of its muscles dictate its working space. Dynamical 3D balance exists between passive and active muscular tensions from occlusion and condylar surfaces. The masticatory system evolved to include a variety of structural components intended to stabilize the dental arches to endure strong mastication forces that come from various vectors. Furthermore, occlusal stability as well as elevator muscle activity are perfectly correlated and are dependent on feedback pathways from periodontal pressoreceptors. Long-lasting tooth function is ensured by the perfectly shaped occlusal surfaces along with dental arches, which work to provide a well-balanced occlusion, strong proximal dental contacts, and a periodontal ligament structure that allows for the physiologically appropriate distribution as well as compensation of mastication forces. Partial tooth loss or periodontal disease may compromise this ideal arrangement from a functional perspective. The mass, moments of inertia, as well as the structures that are relatively solidly linked to the jaw all play a subtle activity in determining the ratio of linear to angular accelerations. It is important to consider the consequences of articular forces, particularly if the joints are subjected to stress asymmetrically. During midline motions, the muscles not only move the jaw but also preserve the stability of the articular. Ligaments are examples of passive structures that do not become dominant until the jaw reaches its limits of movement. It is believed that these ligaments guard against dislocation of the joint in the movements of the non-midline.

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Food texture is a key determinant of consumer satisfaction, influencing the sensory experience during consumption. Traditional methods like Texture Profile Analysis (TPA) provide quantitative data on texture attributes but fall short in mimicking the intricate human mastication process. This limitation has led to the exploration of artificial mastication robots as a novel approach to texture evaluation. These robots simulate human chewing by replicating the mechanical forces and movements involved in mastication, offering a more comprehensive analysis of food texture. Unlike conventional instrumental techniques, artificial mastication systems can capture the dynamic process of bolus formation and the full range of forces exerted during chewing. This capability allows for a more accurate representation of texture perception, bridging the gap between instrumental data and human sensory experiences. As technology advances, these systems hold significant potential in enhancing food product development, quality control, and sensory analysis by providing a deeper understanding of how texture influences consumer acceptance. Despite the challenges in fully replicating the complexity of human mastication, artificial mastication robots represent a promising tool for advancing texture analysis in food science.

Pages: 23

Consumer sensory satisfaction, particularly aroma, dictates food product success. Olfaction starts in the nasal cavity, where odour molecules trigger electrical signals that travel to the brain, integrating with memories and emotions. Traditional sensory evaluations might miss diverse consumer perceptions due to factors like age and environment. Recent advancements in electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (MRI) (fMRI), and brain-computer interface (BCI) technologies allow researchers to measure and interpret brain activity in response to aroma. These technologies offer a deeper understanding of individual aroma perception by decoding neural responses into data. This opens doors to improve understanding of consumer aroma perception, impacting product development and marketing strategies. This chapter explores the brain's olfaction pathway, from odorant detection to neural processing. It delves into brain wave measurements for aroma responses and outlines BCI steps for detecting and distinguishing these perceptions. Additionally, the chapter discusses factors influencing BCI measurements and the opportunities and challenges within this evolving field.

Pages: 23

Consumer acceptance of food products hinges on sensory satisfaction, with taste being a primary determinant despite considerations of appearance, odor, and texture. However, relying solely on sensory panels may not accurately capture consumer taste perceptions, leading industries to prioritize market surveys. Consumer taste perceptions can vary based on several factors like product's cost, demand, and brand or consumer's demographic and health status. The tasting of any food products begins with taste receptors on the tongue responding to different taste stimuli and transmitting electrochemical signals to the brain. These signals trigger electrical activity in brain neural networks, increasing blood flow to specific brain areas. Utilizing non-invasive technologies like electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and brain-computer interface (BCI) techniques, then those electrochemical signals can be detected and translated into valuable sensory information. This chapter delves into the various processes involved in recognizing the taste stimuli and outlines the fundamental steps of BCI techniques for determining and distinguishing them. Furthermore, it investigates the BCI-driven sensory studies linked to taste perception and addresses the corresponding limitations, positioning BCI as a promising avenue for future sensory research.

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This chapter explores the critical role of food oral processing in both sensory perception and nutritional intake, focusing on the use of a computer interface for human mastication analysis. It explains the complex interaction of physico-chemical and physiological factors that affect the sensory experience of nutrients, enabling the design of food structures optimized for sensory satisfaction. The chapter covers the various aspects of human chewing, emphasizing the function of anatomical structures and muscles in different stages. Furthermore, the effect of food properties on oral processing and the methods for chewing analysis, including objective and real-time techniques, are discussed. Special attention is given to electromyography (EMG) as a reliable tool, with detailed insights offered. Moreover, developments in human mastication analysis, such as EMG integration with machine learning, ear interface technologies, chewing simulators, and the role of chewing robots, are examined to provide a complete overview of the field.

Pages: 27

Studies on consumer behaviour play a pivotal role in sensory analysis and product manufacturing. Various strategies are available in understanding consumer behaviour. Among them virtual reality (VR), augmented reality (AR) and mixed reality (MR), collectively called immersive technologies, serve as a potential tool in consumer behaviour studies. This chapter deals with how these concepts are used in food industry, majorly on sensory analysis and product preferences in food market. This also provides an overview of each technology, the devices and tools used for analysis and the advantages of using these technologies along with their application. It was obvious from the literatures available that these concepts helped in analysing consumer behaviour by immersing the user in the virtual environment or by overlaying on the real object, thereby providing realistic experience. They also have the advantage of combining with other human-computer interfaces in achieving reliable results from the consumer. Though their applications and advantages are vast, it is still in the evolving stage. More research on improving human responses, ecological validity and emotional responses helps its application in future.

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Understanding sensory perception is the essential step in the field of sensory science as it unfolds numerous possibilities for the sensorial reception of different consumers with varying factors such as age, gender, sex, culture, emotions, economy and geographical area. Throughout the years this field has evolved with various techniques to understand this sensory reception, perception and behaviour towards food items – conventional, instrumental, mimicking and computer interface techniques. They aren't only restricted to determine the sensory aspect but also helped in the growth of consumer-behaviour-related studies, new product development and research studies about molecular interactions between food and the receptor in the body. Positively, the sensory science will develop more with artificial intelligence and brain-computer interfaces in the near future. The current obstacles they face are different from each other's techniques as they were invented in different generations but it doesn't indicate we can't use conventional methods or should use the advanced technique only. They are still effective in the respective domain of factors and with slight modifications they could provide much better results.