Tanigake Atsu, Miyanaga Yohko, Nakamura Tomoko, Tsuji Eriko, Matsuyama Kenji, Kunitomo Masaru, Uchida Takahiro
School of Pharmaceutical Sciences, Mukogawa Women's University, Nishinomiya, Japan.
Chem Pharm Bull (Tokyo). 2003 Nov;51(11):1241-5. doi: 10.1248/cpb.51.1241.
The purpose of this study was to evaluate the ability of a quantitative prediction method using a taste sensor to determine the bitterness of clarithromycin powder suspensions of various concentrations and of a commercial clarithromycin dry syrup product (Clarith dry syrup, Taisho Pharmaceutical Co., Ltd., Tokyo) containing aminoalkyl methacrylate polymer as a taste-masker. The bitterness of the clarithromycin dry syrup product dissolved in various beverages was also evaluated in gustatory sensation tests and using the taste sensor. In the sensor measurements, three variables were used to predict bitterness in single and multiple regression analysis: relative sensor output (R), the change of membrane potential caused by adsorption (CPA), and CPA/R ratio. The CPA values for channel 3 of the sensor predicted well the bitterness of clarithromycin powder suspensions and their filtered solutions. For Clarith dry syrup, the sensor output was small, suggesting that aminoalkyl methacrylate polymer was successful in almost complete masking of the bitter taste of the dry syrup product. When the bitterness intensities of mixtures of 1 g of Clarith dry syrup with 25 ml of water, coffee, tea, green tea, cocoa, milk, and a sports drink were examined, a good correlation was obtained between the results from human taste tests and the predicted values calculated on the basis of multiple regression analysis using CPA data from channel 4, and the CPA/R ratio from channel 3 of the taste sensor (r(2)=0.963, p<0.005). Co-administration of 1 g of Clarith dry syrup with an acidic sports drink was found to be the most bitter using either method.
本研究的目的是评估一种使用味觉传感器的定量预测方法,以确定不同浓度的克拉霉素粉末混悬液以及含有甲基丙烯酸氨基烷基酯聚合物作为掩味剂的市售克拉霉素干糖浆产品(克拉仙干糖浆,大正制药株式会社,东京)的苦味。还通过味觉感受测试和使用味觉传感器评估了溶解在各种饮料中的克拉霉素干糖浆产品的苦味。在传感器测量中,在单因素和多因素回归分析中使用三个变量来预测苦味:相对传感器输出(R)、吸附引起的膜电位变化(CPA)以及CPA/R比值。传感器通道3的CPA值能很好地预测克拉霉素粉末混悬液及其过滤溶液的苦味。对于克拉仙干糖浆,传感器输出较小,表明甲基丙烯酸氨基烷基酯聚合物几乎成功完全掩盖了干糖浆产品的苦味。当检测1克克拉仙干糖浆与25毫升水、咖啡、茶、绿茶、可可、牛奶和运动饮料的混合物的苦味强度时,人体味觉测试结果与基于使用味觉传感器通道4的CPA数据和通道3的CPA/R比值进行多因素回归分析计算得到的预测值之间具有良好的相关性(r(2)=0.963,p<0.005)。发现使用任何一种方法,1克克拉仙干糖浆与酸性运动饮料同时服用时苦味最重。