Applications of Sensory Analysis in Food and Other Industries

Sensory analysis is a scientific method that uses human senses – sight, smell, taste, touch, and hearing – to evaluate the characteristics of products. While it originated in food science, its applications now extend far beyond the plate. From testing whether a new moisturiser feels right on your skin to evaluating whether a fabric is soft enough for activewear, sensory analysis plays a decisive role in how products are developed, controlled for quality, and brought to market.

What is sensory analysis? 🔗

At its core, sensory analysis is a structured, data-driven approach. Trained or untrained human panellists assess products based on attributes like appearance, aroma, flavour, texture, and even sound. Their responses are then analysed statistically to produce objective, reproducible results. According to a widely accepted definition, it is a scientific method used to evoke, measure, analyse, and interpret reactions to product characteristics as perceived through the five senses.

The three broad categories of sensory testing are discriminative tests (to detect differences between samples), descriptive tests (to characterise and quantify specific attributes), and affective or hedonic tests (to measure consumer preference and liking). Each type serves a different purpose, and selecting the right one depends on the goal – whether that is quality assurance, product reformulation, or understanding what consumers want.

Sensory analysis in the food and beverage industry 🔗

The food and beverage sector is the largest and most established application area for sensory analysis. Every product you pick up at a grocery store – a packet of biscuits, a bottle of juice, a tub of yoghurt – has likely gone through some form of sensory evaluation before reaching the shelf.

Product development 🔗

When food companies create new products, sensory panels guide critical decisions at every stage. Research published in PMC notes that nearly 70% of food companies in surveyed European regions use sensory evaluation methods during new product development (NPD), with larger companies being even more likely to do so.

Consider the development of a new snack flavour. Food scientists do not simply combine ingredients and hope for the best. They run structured sensory tests – flavour profiling, texture analysis, paired comparisons – to understand how different formulations perform. These tests help identify the right balance of taste, crunch, and aroma before a product moves to large-scale production. The goal is to match or exceed the sensory expectations of the target consumer group.

Quality control and consistency 🔗

Maintaining consistent sensory quality across production batches is a major challenge, especially for companies operating globally. Sensory quality control (QC) programmes use discriminative analysis methods like the triangle test and duo-trio test to detect subtle differences between batches. A trained panellist can pick up off-flavours or texture changes that instruments might miss entirely.

For example, dairy processors rely on sensory panels to detect off-flavours in milk that may indicate bacterial contamination or processing issues. In the brewing industry, sensory evaluation is used to catch taints and ensure that every batch matches the established flavour profile. Sensory training programmes equip quality teams with the skills to verify product specifications, detect defects, and assess shelf life.

Market research and consumer preference 🔗

Affective or hedonic tests – where untrained consumers rate products on scales of liking – are the bridge between the laboratory and the marketplace. These tests reveal what consumers actually prefer, which can differ significantly from what trained experts describe as technically superior.

A yoghurt manufacturer, for instance, might use sensory analysis to compare its product’s texture, flavour intensity, and overall acceptability against leading competitors. The data helps the company position its product more effectively and identify specific areas for improvement. Without this consumer-facing sensory data, product decisions lack a reliable baseline and market opportunities may be missed.

Sensory analysis in the personal care and cosmetics industry 🔗

The personal care sector has adopted sensory analysis techniques extensively, borrowing and adapting methods originally developed for food. The reason is straightforward: texture and sensory properties are key factors influencing consumers’ choice of personal care products. How a product looks, feels, smells, and performs during application directly affects whether a consumer repurchases it.

Skin care and cosmetics 🔗

When you apply a moisturiser or foundation, several sensory attributes come into play simultaneously – spreadability, absorption rate, greasiness, tackiness, and the final feel on the skin. Trained sensory panels evaluate each of these attributes systematically. Cosmetic companies use descriptive sensory analysis to assess how formulations behave on different body areas, including skin, lips, and hair.

For instance, a sunscreen formulation might be tested for how quickly it absorbs, whether it leaves a white cast, and how tacky or smooth the skin feels after application. Formulators then use this sensory data to adjust ingredient concentrations and achieve the desired consumer experience. Modern cosmetic products that change texture upon application – such as gel-to-foam cleansers – are a direct result of sensory-guided product design.

Hair care products 🔗

The hair care segment has its own set of sensory challenges. Products like shampoos and conditioners need to be evaluated at multiple stages: during dispensing, while lathering, on wet hair, and on dry hair. Sensory panels assess attributes such as foaming quality, ease of rinsing, slip on wet hair, softness, and shine on dry hair. Standardised protocols such as ASTM E2082 provide guidelines specifically for evaluating shampoo performance through descriptive sensory methods.

Fragrance evaluation 🔗

Fragrance is often the most memorable attribute of a personal care product. Sensory analysis helps companies develop scents that appeal to specific target markets and, equally important, ensures that fragrance remains consistent across different production batches. A slight variation in scent from one batch to the next can confuse or disappoint loyal customers.

Sensory analysis in the textile industry 🔗

Textiles may not be the first sector you associate with sensory analysis, but the discipline plays a significant role here as well. The concept of fabric hand – how a textile feels when touched, including its softness, smoothness, thickness, and flexibility – is central to consumer satisfaction with clothing, upholstery, and home textiles.

Athletic wear companies, for example, use sensory panels to develop moisture-wicking fabrics that feel dry and comfortable during exercise. Panellists evaluate how the fabric feels against the skin, its breathability, and how it performs when damp with perspiration. Beyond tactile properties, sensory analysis in textiles also covers visual assessments of colour consistency, pattern clarity, and overall appearance – particularly important in fashion and home décor where aesthetic appeal drives purchasing decisions.

Other industries using sensory analysis 🔗

The reach of sensory analysis extends into several other sectors as well. Toiletry products like toothpaste, mouthwash, and hand sanitiser undergo sensory testing to ensure both efficacy and a pleasant user experience. Household products such as detergents and fabric softeners are evaluated for fragrance strength, residue feel, and overall sensory impression. Even the automotive and paint industries use sensory methods to assess interior material textures, odour profiles, and visual finishes.

In the pharmaceutical sector, the taste and mouthfeel of oral medications – especially liquid formulations and chewable tablets – are evaluated through sensory analysis to improve patient compliance. If a medicine tastes too bitter or has an unpleasant texture, patients (especially children) may refuse to take it, regardless of its clinical effectiveness.

Key functions of sensory analysis across industries 🔗

Regardless of the industry, sensory analysis serves several critical functions that overlap across all sectors.

Guiding product development 🔗

Sensory testing provides direct feedback from potential users at every stage of development, from initial concept to final formulation. It helps R&D teams understand which attributes consumers value most and where adjustments are needed. As noted in research from PMC, sensory analysis combined with consumer research is considered one of the most useful tools across all stages of NPD – from design to commercialisation.

Ensuring quality and safety 🔗

In food production, sensory properties often deteriorate before a product fails microbiological tests. A stale biscuit, an off-smelling juice, or a discoloured sauce may be perfectly safe to eat but will disappoint consumers and damage brand reputation. Sensory QC programmes catch these problems early, complementing instrumental and microbiological testing.

Supporting marketing decisions 🔗

Sensory data supports marketing claims (“creamier texture,” “longer-lasting fragrance”) and helps validate how products are positioned against competitors. It also informs packaging decisions – since first impressions are visual, sensory analysis of appearance attributes directly influences product packaging design and shelf appeal.

Modern technologies transforming sensory analysis 🔗

While trained human panels remain the gold standard, technological tools are increasingly complementing traditional methods. The electronic nose (E-nose) uses gas sensor arrays to detect and classify volatile aroma compounds, replicating the human olfactory system. The electronic tongue (E-tongue) uses electrochemical sensors to evaluate taste profiles. And the electronic eye (E-eye) analyses food colour objectively using computer vision.

These instruments offer several advantages: they are consistent, reproducible, and not subject to fatigue or bias. They can process large numbers of samples quickly and are especially valuable for routine quality monitoring. However, they do not replace human sensory panels entirely – machines cannot yet replicate the holistic, multi-sensory experience of eating a piece of chocolate or applying a face cream.

More recently, technologies like eye tracking, facial expression analysis (FaceReader), virtual reality (VR), and artificial intelligence (AI) are being integrated into sensory research. Eye tracking reveals what visual elements on packaging attract attention first. FaceReader captures involuntary emotional responses to food and beverages, providing data that goes beyond what consumers can articulate verbally. AI-powered tools help predict consumer preferences by analysing patterns in large sensory datasets.

Challenges in sensory analysis 🔗

Despite its value, sensory analysis is not without limitations. Recruiting and maintaining trained sensory panels is time-consuming and expensive. Human panellists are susceptible to bias, fatigue, and variability, which must be managed through careful experimental design and statistical controls. Cultural and regional differences in taste preferences can also complicate results – what is considered pleasantly sweet in one market may be perceived as overly sugary in another.

Additionally, most electronic sensing tools currently measure only a single attribute at a time. Characterising an entire product with multiple sensory dimensions still requires several different instruments or a combination of instrumental and human methods. Bridging this gap remains an active area of research and development in the field.

Why sensory analysis matters more than ever 🔗

Consumer expectations are rising across every product category. People are more informed, more vocal about their preferences, and more willing to switch brands if a product fails to deliver the expected sensory experience. At the same time, manufacturers face pressure to reformulate products – reducing sugar, salt, or fat in foods; replacing synthetic ingredients in cosmetics; using sustainable materials in textiles – without compromising the sensory qualities that consumers value.

Sensory analysis provides the objective, evidence-based framework needed to navigate these challenges. It connects what scientists measure in the lab with what consumers experience in the real world, ensuring that products not only meet technical specifications but also genuinely satisfy the people who use them.

What do you think? How might sensory analysis methods need to evolve as consumers increasingly demand personalised products tailored to their individual preferences? And can electronic sensing technologies ever fully replace the nuanced judgement of a trained human panel?

References

1. https://www.intechopen.com/online-first/1221223
2. https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/sensory-evaluation
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