Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores

Effective R&D and strict quality control of a broad range of foods, beverages, and pharmaceutical products require objective taste evaluation. Advanced taste sensors using artificial-lipid membranes have been developed based on concepts of global selectivity and high correlation with human sensory score. These sensors respond similarly to similar basic tastes, which they quantify with high correlations to sensory score. Using these unique properties, these sensors can quantify the basic tastes of saltiness, sourness, bitterness, umami, astringency and richness without multivariate analysis or artificial neural networks. This review describes all aspects of these taste sensors based on artificial lipid, ranging from the response principle and optimal design methods to applications in the food, beverage, and pharmaceutical markets

Putting old data into new system: Web-based catalog card image searching

2000 Kyoto International Conference on Digital Libraries : research and practice, 11/13/2000 - 11/16/2000This paper proposes a new approach to solve the data inputting bottleneck problem for library catalog data, or metadata. The data have been provided by paper cards arranged in wooden boxes. A lot of efforts have been taken to digitize them in order to put these data to be machine-readable. However, despite such efforts, only a small amount of data has been digitized so far because the inputting is done manually. We solve this problem by using the catalog card images digitized by high-speed scanners. This approach has advantages such as: (1) we can deal with the electronic catalog data with remarkably reduced time and cost; (2) it enables the seamless integration of the image-based and keyword-based searches; and (3) it boosts up the process of inputting of the catalog data itself

Putting old data into new system: Web-based catalog card image searching

This paper proposes a new approach to solve the data inputting bottleneck problem for library catalog data, or metadata. The data have been provided by paper cards arranged in wooden boxes. A lot of efforts have been taken to digitize them in order to put these data to be machine-readable. However, despite such efforts, only a small amount of data has been digitized so far because the inputting is done manually. We solve this problem by using the catalog card images digitized by high-speed scanners. This approach has advantages such as: (1) we can deal with the electronic catalog data with remarkably reduced time and cost; (2) it enables the seamless integration of the image-based and keyword-based searches; and (3) it boosts up the process of inputting of the catalog data itself.2000 Kyoto International Conference on Digital Libraries : research and practice, 11/13/2000 - 11/16/200