Taste Analyser Applications
The device is highly effective in a variety of applications requiring taste analysis, including original research, quality assurance & quality control for food and pharmaceutical products, new product development, counterfeit detection, animal nutrition and feedstuffs.
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​Marketing
Market analysis of foreign and
Japanese ramen soups
​Food R&D
Comparison of dressing prototypes
​Sales
Comparison of fried chicken by retail sector
Pharmaceutical R&D
Bitterness suppression by cyclodextrin
​Quality Control
Tea aging due to thermal degradation
Taste Analyser Functions
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Analysis Application
Conversion to numerical values for each taste attribute.
Easy combination of multiple data.
Dedicated analysis function for maintenance measurement.
Report output function for analysis results.
Graphing Applications
Easily draw radar charts, two-dimensional scatter plots, and more.
Reorder, delete, and add information to samples.
Applied Statistics Application
Includes functions for principal component analysis
and multiple regression.
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Other Reliable Support Functions
Prevent operation errors and warn when errors occur: Monitoring camera prevents misplaced solution and checks error causes & error alerts.
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Improved Maintenance and Durability
Automatic sensor history management which predicts sensor replacement time.
Upgraded cables and component, reduces fault/service downtime.
Human and e-tongue
The Insent TS-5000Z was used to test and compare different roast degrees of taste by Coffee Classificador (no. 09001130):
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The digitized taste provides an objective gauge offering the following business advantages.
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Presents accurate image of taste to consumers and supports marketing
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Provides accurate images of taste to help educate inexperienced professionals
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Supports advanced quality assurance without well-trained sensory testers or expensive analytical instruments
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Leads to quick and precise product development by better data collection and better understanding of clients/consumers
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Click image to enlarge:
Marketing
Private brands of instant coffee were purchased from TESCO, Sainsbury’s, Maxwell House, Morrisons, M&S, Waitrose, The Co-operative Food, ASDA, Carrefour, Intermarché, ALDI and LIDL. NESCAFÉ GOLD was used as the control and the origin of the chart. All coffees were brewed as described on the label.
Objective taste data can answer questions such as:
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How the coffee trend has changed since 2016?
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Which flavor do customers prefer by region, age, and gender (by integrating with point of sales data)?
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How to match the product taste to the target taste?
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How to communicate effectively with customers?
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Deterioration
This result is for shredded cabbage stored for 28 days in refrigerated freshness-preservation bags with different functions/performance. It shows the different functions/performance result as different taste changes. Digital taste data can help quick product development without wasting limited resources.
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Click to enlarge:
Measurement Procedure:
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Remove two outer leaves of cabbage and shred into strips.
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Store about 80 g of shredded cabbage in each freshness-preservation bag, seal, and refrigerate.
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Each day, put weighed amount of shredded cabbage from bag in food processor.
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Add deionized water at ratio of twice weight of cabbage.
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Liquidize in food processor for 1 minute.
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Centrifuge at 3000 rpm for 10 minutes.
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Freeze and store supernatant.
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Thaw supernatant under running water on day of measurement.
Pharmaceuticals
This result shows bitterness masking when four types of cyclodextrin are mixed with cetirizine hydrochloride. The high correlation between the x-axis sensory test results and the y-axis sensor output shows that the taste sensor detects bitterness masking.
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Click image to enlarge:
Measurement
Preparation solvent: 10 mM potassium chloride
Cetirizine hydrochloride: 5 mM
Added cyclodextrin: 20 mM
Sensor: AN0
Analysis method: Simple regression analysis