Early pediatric formulation development with new chemical entities: Opportunities of e-tongue besides human taste assessment

Immohr, Laura Isabell; Dischinger, Angela; Kühl, Peter; Kletzl, Heidemarie; Sturm, Stefan; Günther, Andreas; Pein-Hackelbusch, Miriam

doi:10.1016/j.ijpharm.2017.07.069

Cited by 14 publications

(12 citation statements)

References 18 publications

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“…The training and testing data of the fused feature were input into the GS-SVM model for substance identification. The parameters of the GS-SVM model were set as follows: the search range of the penalty factor c was (2 −10 , 2 10 ) and the kernel function parameter g was searched from 2 −10 to 2 10 . A step of 0.8 was used in the search for c and g in double-logarithmic coordinates.…”

Section: Synchronization Of the Cmtpmentioning

confidence: 99%

“…Effective processing of original signals is important for improving the evaluation performance [9]. A principal component analysis (PCA) for e-tongue responses has been used to evaluate the bitterness of pediatric drugs, and consistent results between human bitter perception and e-tongue responses were acquired based on the PCA map [10]. In evaluating different taste sensations (including sweet, bitter, pungent and sour) of peppers, sensor data for the e-tongue were selected using PCA, and the selected data were input into a linear discriminant analysis (LDA)-simulated annealing model to obtain comparable results related to the human sensory output [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Taste sensation evaluation for an electronic tongue based on an optimized computational model of taste pathways

Zheng¹,

Shi²,

Xia³

et al. 2022

Meas. Sci. Technol.

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Effective evaluation of taste sensation can be achieved by analyzing electronic tongue (e-tongue) data. Research on taste sensation evaluation of the e-tongue by nerve conduction mechanisms is limited, which affects the evaluation performance of the e-tongue. Therefore, in this paper, a method for evaluating the taste sensation of the e-tongue based on human taste conduction mechanisms, computational model of taste pathways (CMTP), is proposed. However, the limited physiological basis of the CMTP parameters influences the evaluation results. To achieve excellent evaluation performance, a parameter optimization algorithm using Hebbian and habituation learning rules is used to optimize the CMTP parameters. The effectiveness of the optimized results is demonstrated by the improvement in the dynamic characteristics of the CMTP. Next, the optimized CMTP (OCMTP) is used for pattern recognition and sweetness evaluation of the four taste substances. The results showed, first, that the dynamic characteristics (including 1/f characteristics and synchronization) of the OCMTP are improved, and the bionics of the OCMTP is enhanced. The optimized results are effective. Second, compared with the recognition results of four taste substances by the unoptimized CMTP (UCMTP), signal preprocessing methods, and multiclass classification models, the best classification accuracy of 95.38%, the best Kappa coefficient of 93.83%, and the best F1-score of 96.10% are acquired by the OCMTP. Finally, compared with the sweetness evaluation results of the UCMTP, signal preprocessing methods, and multiple evaluation models, the best evaluation performance, including an RMSE of 0.1643 and R2 of 0.9785, is obtained using the OCMTP. In conclusion, effective evaluation of taste sensation can be achieved by the OCMTP and an e-tongue.

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Section: Synchronization Of the Cmtpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Taste sensation evaluation for an electronic tongue based on an optimized computational model of taste pathways

Zheng¹,

Shi²,

Xia³

et al. 2022

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Thus, there is a demand to develop fast, safe, effective, and cheap in vitro methods for bitterness evaluation. In recent decades, scientists have published a large number of new methods using instruments for in vitro bitterness detection, including taste strips [ 41 ], facial expression analysis [ 42 ], and bitter taste sensors [ 43 , 44 ]. Here, we summarize the recent progress in the development of novel taste sensors for bitterness detection, including commercial electronic devices based on modified electrodes to micro-type sensors functionalized with taste cells, polymeric membranes, and other materials.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Bitterness-Sensing Systems

Langley

Zhang

2023

Biosensors

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Bitterness is one of the basic tastes, and sensing bitterness plays a significant role in mammals recognizing toxic substances. The bitter taste of food and oral medicines may decrease consumer compliance. As a result, many efforts have been made to mask or decrease the bitterness in food and oral pharmaceutical products. The detection of bitterness is critical to evaluate how successful the taste-masking technology is, and many novel taste-sensing systems have been developed on the basis of various interaction mechanisms. In this review, we summarize the recent progress of bitterness response mechanisms and the development of novel sensors in detecting bitterness ranging from commercial electronic devices based on modified electrodes to micro-type sensors functionalized with taste cells, polymeric membranes, and other materials in the last two decades. The challenges and potential solutions to improve the taste sensor quality are also discussed.

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“…The e-nose and e-tongue fusion system, with the significant advantage of obtaining comprehensive taste and olfactory information, could provide an opportunity to progress from subjective to objective evaluation. Although e-tongue and e-nose systems were initially and predominantly implemented in food flavor examination [1][2][3][4][5], more attention has been paid to their exploration in respect of the design and development of medicines [6][7][8][9][10], food quality classification [11][12][13][14], and disease diagnosis [15]. Moreover, a novel nanowire device S3, similar to a portable electronic nose, was successfully designed and served as an effective means to determine the authenticity of the grated Parmigiano Reggiano cheese [16].…”

Section: Introductionmentioning

confidence: 99%

Application of Multiple-Source Data Fusion for the Discrimination of Two Botanical Origins of Magnolia Officinalis Cortex Based on E-Nose Measurements, E-Tongue Measurements, and Chemical Analysis

Jing

Zhao

et al. 2022

Molecules

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Magnolia officinalis Rehd. et Wils. and Magnolia officinalis Rehd. et Wils. var. biloba Rehd. et Wils, as the legal botanical origins of Magnoliae Officinalis Cortex, are almost impossible to distinguish according to their appearance traits with respect to medicinal bark. The application of AFLP molecular markers for differentiating the two origins has not yet been successful. In this study, a combination of e-nose measurements, e-tongue measurements, and chemical analyses coupled with multiple-source data fusion was used to differentiate the two origins. Linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) were applied to compare the discrimination results. It was shown that the e-nose system presented a good discriminant ability with a low classification error for both LDA and QDA compared with e-tongue measurements and chemical analyses. In addition, the discriminating capacity of LDA for low-level fusion with original data, similar to a combined system, was superior or equal to that acquired individually with the three approaches. For mid-level fusion, the combination of different principals extracted by PCA and variables obtained on the basis of PLS-VIP exhibited an analogous discrimination ability for LDA (classification error 0.0%) and was significantly superior to QDA (classification error 1.67–3.33%). As a result, the combined e-nose, e-tongue, and chemical analysis approach proved to be a powerful tool for differentiating the two origins of Magnoliae Officinalis Cortex.

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Early pediatric formulation development with new chemical entities: Opportunities of e-tongue besides human taste assessment

Cited by 14 publications

References 18 publications

Taste sensation evaluation for an electronic tongue based on an optimized computational model of taste pathways

Taste sensation evaluation for an electronic tongue based on an optimized computational model of taste pathways

Recent Advances in Bitterness-Sensing Systems

Application of Multiple-Source Data Fusion for the Discrimination of Two Botanical Origins of Magnolia Officinalis Cortex Based on E-Nose Measurements, E-Tongue Measurements, and Chemical Analysis

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