Oral disintegrating tablets(ODTs) are a novel dosage form that can be dissolved on thetongue within 3 min or less especially for geriatric and pediatric patients. Current ODT for-mulation studies usually rely on the p...Oral disintegrating tablets(ODTs) are a novel dosage form that can be dissolved on thetongue within 3 min or less especially for geriatric and pediatric patients. Current ODT for-mulation studies usually rely on the personal experience of pharmaceutical experts andtrial-and-error in the laboratory, which is inefficient and time-consuming. The aim of cur-rent research was to establish the prediction model of ODT formulations with direct com-pression process by artificial neural network(ANN) and deep neural network(DNN) tech-niques. 145 formulation data were extracted from Web of Science. All datasets were dividedinto three parts: training set(105 data), validation set(20) and testing set(20). ANN andDNN were compared for the prediction of the disintegrating time. The accuracy of the ANNmodel have reached 85.60%, 80.00% and 75.00% on the training set, validation set and testingset respectively, whereas that of the DNN model were 85.60%, 85.00% and 80.00%, respec-tively. Compared with the ANN, DNN showed the better prediction for ODT formulations.It is the first time that deep neural network with the improved dataset selection algorithmis applied to formulation prediction on small data. The proposed predictive approach couldevaluate the critical parameters about quality control of formulation, and guide researchand process development. The implementation of this prediction model could effectivelyreduce drug product development timeline and material usage, and proactively facilitatethe development of a robust drug product.展开更多
Current pharmaceutical formulation development still strongly relies on the traditional trialand-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly.Recently, deep learnin...Current pharmaceutical formulation development still strongly relies on the traditional trialand-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly.Recently, deep learning has been widely applied in many challenging domains because of its important capability of automatic feature extraction. The aim of the present research is to apply deep learning methods to predict pharmaceutical formulations. In this paper, two types of dosage forms were chosen as model systems. Evaluation criteria suitable for pharmaceutics were applied to assess the performance of the models. Moreover, an automatic dataset selection algorithm was developed for selecting the representative data as validation and test datasets. Six machine learning methods were compared with deep learning. Results showed that the accuracies of both two deep neural networks were above 80% and higher than other machine learning models; the latter showed good prediction of pharmaceutical formulations. In summary, deep learning employing an automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was developed for the prediction of pharmaceutical formulations for the first time. The cross-disciplinary integration of pharmaceutics and artificial intelligence may shift the paradigm of pharmaceutical research from experience-dependent studies to data-driven methodologies.展开更多
Abstract: Objective To apply the response surface-central composite design to developing and optimizing the oral fastdisintegrating tablets (ODT) formulation for Jiawei Qing’e, a kind of prescription of Chinese herba...Abstract: Objective To apply the response surface-central composite design to developing and optimizing the oral fastdisintegrating tablets (ODT) formulation for Jiawei Qing’e, a kind of prescription of Chinese herbal medicine.Methods The bitterness of Jiawei Qing’e was masked using Eudragit E-100 by solvent evaporation technique.Response surface approach was applied to investigating the interaction of formulation parameters in optimizing theformulation. The independent variables were Eudragit E-100/drug ratio (X1), amount of disintegrants (X2), and theamount of diluents (X3). The disintegration time (Y1), hardness (Y2), and weight variations of the tablets werecharacterized. Results The models predicted levels of X1= 4.63%, X2= 5.25%, and X3= 34.33%, for the optimalformulation having a hardness of 3.0 kg with the disintegration time of 30 s within experimental region. The observedresponse of Y1= 26.5 s and Y2= 3.14 kg reasonably agreed with the predicted response. Conclusion Responsesurface methodology shows the good predictability and reliability in optimizing the formulation. The optimized ODTof Jiawei Qing’e has acceptable taste, rapid disintegrating ability, and good mechanical strength.展开更多
Crude seed gum and their carboxymethyl derivatives from Tamarindus indica and Cassia fistula seeds were developed and characterized to apply as the pharmaceutical disintegrant in fast disintegrating Thai cordial table...Crude seed gum and their carboxymethyl derivatives from Tamarindus indica and Cassia fistula seeds were developed and characterized to apply as the pharmaceutical disintegrant in fast disintegrating Thai cordial tablet. The chemical structure of crude gum was chemically modified via carboxymethylation. Degree of substitution(DS) of carboxymethylated gums was determined. Carboxymethylated gums with minimum and maximum DS values were chosen for further application. IR absorption spectra of gum samples were observed to verify their chemical structure changes. In physical properties, the intrinsic viscosity and swelling property of all gum samples were evaluated. The results showed that carboxymethylated gums had higher intrinsic viscosity than those of crude gum. Moreover, they could swell and be soluble in cold water better than those of crude gums. In conclusion, the modified gums from both plants could provide higher hardness and be better used than that crude gums for fast disintegrating Thai cordial tablet. However, this is a preliminary assessment to expressing pharmaceutical application possibility of these gums as disintegrants, diluents and drug release controlling agents.展开更多
Large spacecraft fall out of orbit and re-enter the atmosphere at the end of their lifetime,and they can break up into small debris upon re-entry.The spacecraft debris generated by the disintegration may lead to high ...Large spacecraft fall out of orbit and re-enter the atmosphere at the end of their lifetime,and they can break up into small debris upon re-entry.The spacecraft debris generated by the disintegration may lead to high risk when the surviving debris reaches the ground.One way to reduce the damage risk of spacecraft is to simulate the spacecraft disintegration process and accurately predict the falling area.Aerodynamics seriously affects the reentering process,especially in the continuous flow regime.Aerodynamic force and heat are the main factors leading to debris disintegration.High dynamic pressure leads to sharp changes in attitude and complex trajectories during debris fall.A numerical method based on an unstructured Cartesian grid was developed to simulate the disintegrating separation problem by coupling the Navier-Stokes equation and the six-degree-of-freedom trajectory equation.A method combining the numerical method for dynamic processes with numerical simulation based on a static aerodynamic/dynamic characteristic database was developed for forecasting the falling area.Spacecraft disintegrating separation from 60 km was simulated using the method,and the multibody aerodynamic interference and the separation trajectory were predicted.The falling process was forecast by a numerical simulation method based on the static aerodynamic database/dynamic characteristic database when the debris went out of the influence domain.This method has good forecasting efficiency while considering the aerodynamic interference,making it a valuable method for forecasting disintegrating separation and falling debris.展开更多
The purpose of this research was to evaluate the effect of starch- and xanthan gum-based food thickeners on the bitterness and dissolution of amlodipine besilate (AMPB) loaded orally disintegrating tablets (ODT) for p...The purpose of this research was to evaluate the effect of starch- and xanthan gum-based food thickeners on the bitterness and dissolution of amlodipine besilate (AMPB) loaded orally disintegrating tablets (ODT) for potential use with patients with dysphagia. A conventional dissolution test simulating the oral cavity was performed and the taste sensor output of the dissolved sample was evaluated over a 60-seconds period. When four types of AMPB loaded ODTs were tested alone, at 60 seconds, branded product (A) was the least bitter, followed by generic product (B)/generic product (C) which were equal, and finally generic product (D) which was the most bitter. Inhibition of bitterness of AMPB loaded ODTs mixed thickeners, 1.0 (w/v) % xanthan gum-based food thickener solution was significantly strong. The 7.1 (w/v) % and 4.7 (w/v) % starch-based food thickeners solution also effective in bitterness inhibition compared to the 2.4 (w/v) % starch-based food thickener solution. The dissolution test under pH 1.2 in related to 7.1 (w/v) % and 4.7 (w/v) % starch-based thickener contained each of AMPB loaded ODTs were associated with an almost complete amlodipine (AMP) dissolution (almost 90% at 10 minutes), whereas the 1.0, 2.0, 3.0 (w/v) % xanthan gum-based food thickener solution containing AMPB loaded ODTs did not show complete AMP dissolution and there were large variations in the initial dissolution stage. This suggests that a mixture of xanthan gum-based thickener and AMPB loaded ODT poses a risk of reduction of bioavailability. In conclusion, a mixture of 4.7 (w/v) % or 7.1 (w/v) % starch-based thickener with ODTs provides complete release of AMP and superior bitterness inhibition, so is the best choice for administration to patients with dysphagia.展开更多
Summarizes the processes and development of Baosteel slag processing techniques such as the instantaneous slag chill （ISC） process, the tank-type hot disintegrating process and the rotary drum process. A detailed in...Summarizes the processes and development of Baosteel slag processing techniques such as the instantaneous slag chill （ISC） process, the tank-type hot disintegrating process and the rotary drum process. A detailed introduction of the slag comprehensive utilization at Baosteel is given. The details of Baosteel＇ s comprehensive utilization in the fields of simering materials, returned slag for steelmaking, road construction, cement production, mixed concrete, new construction materials, ground-filling materials and reinforced material for soft earth are given. Emphasis is placed on source management and ensuring that from both organizational and managerial perspectives, Baosteel＇ s slag processing techniques are safe and energy-saving, thus constantly demonstrating the issue of sustainable development.展开更多
The aim of this study was to prepare diphenhydramine hydrochloride (DPH)-loaded orally fast-disintegrating mini-tablets (OFDMTs) containing either L-aspartic acid (Asp) or L-glutamic acid (Glu) as bitterness-suppressa...The aim of this study was to prepare diphenhydramine hydrochloride (DPH)-loaded orally fast-disintegrating mini-tablets (OFDMTs) containing either L-aspartic acid (Asp) or L-glutamic acid (Glu) as bitterness-suppressant, to characterize the prepared tablets and to evaluate their bitterness under conditions mimicking those of the oral cavity. The preparation of five formulation batches of the OFDMTs involved mixing DPH, with or without two different concentrations of Asp or Glu, and a premix containing a disintegrating agent. When all ingredients were well mixed, the mixture was directly compacted to form small (4 mm diameter) DPH-loaded OFDMTs. There were only small differences between the tablets with respect to mass, diameter, width and hardness. The disintegration times of the five formulation batches of DPH-loaded OFDMTs were measured using the OD-mate, a disintegration test apparatus in which conditions resemble those of the oral cavity. The disintegration times were all within 10 s of exposure to a medium representing the inside of the oral cavity. Rapid release profiles were observed for DPH, Asp and Glu in these dissolution tests. The taste sensor outputs of samples taken at different times (5 - 30 s) from the dissolution test solutions of the four DPH-loaded OFDMTs containing Asp or Glu were significantly inhibited compared with those of control DPH-loaded OFDMT. These results suggest that the inclusion of Asp or Glu in DPH-loaded OFDMTs is sufficient to mask bitterness in the oral cavity for the first 30 s after the tablet is placed in the mouth. It is anticipated that swallowing will have taken place within 30 s.展开更多
AIM: To compare rabeprazole (RPZ; 10 mg) with Lansoprazole orally disintegrating tablets (LPZ; 30 mg OD) in terms of antisecretory activity and blood drug concentration after a single dose. METHODS: Eight H pylori-neg...AIM: To compare rabeprazole (RPZ; 10 mg) with Lansoprazole orally disintegrating tablets (LPZ; 30 mg OD) in terms of antisecretory activity and blood drug concentration after a single dose. METHODS: Eight H pylori-negative cytochrome P450 (CYP) 2C19 extensive metabolizers were assigned to receive a single oral dose of RPZ 10 mg or LPZ 30 mg OD. Twelve hour intragastric pH monitoring was perform- ed on the day of treatment. Blood samples were also collected after the administration of each drug. RESULTS: LPZ 30 mg OD induced a significantly earlier rise in blood drug concentration than RPZ 10 mg; consequently, LPZ 30 mg OD induced a significantly earlier rise in median pH in the third and fourth hours of the study. CONCLUSION: In H pylori-negative CYP2C19 extensive metabolizers, LPZ 30 mg OD induced a significantly faster inhibition of gastric acid secretion than RPZ 10 mg.展开更多
The purpose of this review is to discuss the advantages and limitations of taste sensors in the evaluation of the taste of palatability of different oral dosage forms. First, we consider some ways in which the palatab...The purpose of this review is to discuss the advantages and limitations of taste sensors in the evaluation of the taste of palatability of different oral dosage forms. First, we consider some ways in which the palatability of various pharmaceutical formulations including orally disintegrating tablets(ODTs) are tested using two different taste sensors. Second, we focus on the evaluation of palatability of ODTs. We compare the usefulness of three pieces of apparatus for estimating the disintegration time of ODTs. Finally, we compare the characteristics of the two taste sensors in the evaluation of palatability of various kinds of drug formulations.展开更多
基金financially supported by the Universityof Macao Research Grant (MYRG2016-00038-ICMS-QRCM &MYRG2016-00040-ICMS-QRCM)Macao Science and Technology Development Fund (FDCT) (Grant No. 103/2015/A3)the National Natural Science Foundation of China (Grant No. 61562011 )
文摘Oral disintegrating tablets(ODTs) are a novel dosage form that can be dissolved on thetongue within 3 min or less especially for geriatric and pediatric patients. Current ODT for-mulation studies usually rely on the personal experience of pharmaceutical experts andtrial-and-error in the laboratory, which is inefficient and time-consuming. The aim of cur-rent research was to establish the prediction model of ODT formulations with direct com-pression process by artificial neural network(ANN) and deep neural network(DNN) tech-niques. 145 formulation data were extracted from Web of Science. All datasets were dividedinto three parts: training set(105 data), validation set(20) and testing set(20). ANN andDNN were compared for the prediction of the disintegrating time. The accuracy of the ANNmodel have reached 85.60%, 80.00% and 75.00% on the training set, validation set and testingset respectively, whereas that of the DNN model were 85.60%, 85.00% and 80.00%, respec-tively. Compared with the ANN, DNN showed the better prediction for ODT formulations.It is the first time that deep neural network with the improved dataset selection algorithmis applied to formulation prediction on small data. The proposed predictive approach couldevaluate the critical parameters about quality control of formulation, and guide researchand process development. The implementation of this prediction model could effectivelyreduce drug product development timeline and material usage, and proactively facilitatethe development of a robust drug product.
基金financially supported by the University of Macao Research Grant(MYRG2016-00038-ICMS-QRCM,MYRG2016-00040-ICMS-QRCM and MYRG2017-00141-FST,China)Macao Science and Technology Development Fund(FDCT,Grant no.103/2015/A3,China)the National Natural Science Foundation of China(Grant no.61562011)
文摘Current pharmaceutical formulation development still strongly relies on the traditional trialand-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly.Recently, deep learning has been widely applied in many challenging domains because of its important capability of automatic feature extraction. The aim of the present research is to apply deep learning methods to predict pharmaceutical formulations. In this paper, two types of dosage forms were chosen as model systems. Evaluation criteria suitable for pharmaceutics were applied to assess the performance of the models. Moreover, an automatic dataset selection algorithm was developed for selecting the representative data as validation and test datasets. Six machine learning methods were compared with deep learning. Results showed that the accuracies of both two deep neural networks were above 80% and higher than other machine learning models; the latter showed good prediction of pharmaceutical formulations. In summary, deep learning employing an automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was developed for the prediction of pharmaceutical formulations for the first time. The cross-disciplinary integration of pharmaceutics and artificial intelligence may shift the paradigm of pharmaceutical research from experience-dependent studies to data-driven methodologies.
基金Major Projects of National Science and Technology on"New Drug Creation and Development"(2012ZX09103201-0462012ZX09101212)
文摘Abstract: Objective To apply the response surface-central composite design to developing and optimizing the oral fastdisintegrating tablets (ODT) formulation for Jiawei Qing’e, a kind of prescription of Chinese herbal medicine.Methods The bitterness of Jiawei Qing’e was masked using Eudragit E-100 by solvent evaporation technique.Response surface approach was applied to investigating the interaction of formulation parameters in optimizing theformulation. The independent variables were Eudragit E-100/drug ratio (X1), amount of disintegrants (X2), and theamount of diluents (X3). The disintegration time (Y1), hardness (Y2), and weight variations of the tablets werecharacterized. Results The models predicted levels of X1= 4.63%, X2= 5.25%, and X3= 34.33%, for the optimalformulation having a hardness of 3.0 kg with the disintegration time of 30 s within experimental region. The observedresponse of Y1= 26.5 s and Y2= 3.14 kg reasonably agreed with the predicted response. Conclusion Responsesurface methodology shows the good predictability and reliability in optimizing the formulation. The optimized ODTof Jiawei Qing’e has acceptable taste, rapid disintegrating ability, and good mechanical strength.
基金Higher Education Research Promotion-National Research Universities (HERP-NRU) for financial supporting under grant no. 2558A10862016
文摘Crude seed gum and their carboxymethyl derivatives from Tamarindus indica and Cassia fistula seeds were developed and characterized to apply as the pharmaceutical disintegrant in fast disintegrating Thai cordial tablet. The chemical structure of crude gum was chemically modified via carboxymethylation. Degree of substitution(DS) of carboxymethylated gums was determined. Carboxymethylated gums with minimum and maximum DS values were chosen for further application. IR absorption spectra of gum samples were observed to verify their chemical structure changes. In physical properties, the intrinsic viscosity and swelling property of all gum samples were evaluated. The results showed that carboxymethylated gums had higher intrinsic viscosity than those of crude gum. Moreover, they could swell and be soluble in cold water better than those of crude gums. In conclusion, the modified gums from both plants could provide higher hardness and be better used than that crude gums for fast disintegrating Thai cordial tablet. However, this is a preliminary assessment to expressing pharmaceutical application possibility of these gums as disintegrants, diluents and drug release controlling agents.
基金supported by the National Basic Research Program of China under Grant Nos.2014CB744100,2022JCJQZD20600the Project of Manned Space Engineering Technology(Grant No.ZS2020103001).
文摘Large spacecraft fall out of orbit and re-enter the atmosphere at the end of their lifetime,and they can break up into small debris upon re-entry.The spacecraft debris generated by the disintegration may lead to high risk when the surviving debris reaches the ground.One way to reduce the damage risk of spacecraft is to simulate the spacecraft disintegration process and accurately predict the falling area.Aerodynamics seriously affects the reentering process,especially in the continuous flow regime.Aerodynamic force and heat are the main factors leading to debris disintegration.High dynamic pressure leads to sharp changes in attitude and complex trajectories during debris fall.A numerical method based on an unstructured Cartesian grid was developed to simulate the disintegrating separation problem by coupling the Navier-Stokes equation and the six-degree-of-freedom trajectory equation.A method combining the numerical method for dynamic processes with numerical simulation based on a static aerodynamic/dynamic characteristic database was developed for forecasting the falling area.Spacecraft disintegrating separation from 60 km was simulated using the method,and the multibody aerodynamic interference and the separation trajectory were predicted.The falling process was forecast by a numerical simulation method based on the static aerodynamic database/dynamic characteristic database when the debris went out of the influence domain.This method has good forecasting efficiency while considering the aerodynamic interference,making it a valuable method for forecasting disintegrating separation and falling debris.
文摘The purpose of this research was to evaluate the effect of starch- and xanthan gum-based food thickeners on the bitterness and dissolution of amlodipine besilate (AMPB) loaded orally disintegrating tablets (ODT) for potential use with patients with dysphagia. A conventional dissolution test simulating the oral cavity was performed and the taste sensor output of the dissolved sample was evaluated over a 60-seconds period. When four types of AMPB loaded ODTs were tested alone, at 60 seconds, branded product (A) was the least bitter, followed by generic product (B)/generic product (C) which were equal, and finally generic product (D) which was the most bitter. Inhibition of bitterness of AMPB loaded ODTs mixed thickeners, 1.0 (w/v) % xanthan gum-based food thickener solution was significantly strong. The 7.1 (w/v) % and 4.7 (w/v) % starch-based food thickeners solution also effective in bitterness inhibition compared to the 2.4 (w/v) % starch-based food thickener solution. The dissolution test under pH 1.2 in related to 7.1 (w/v) % and 4.7 (w/v) % starch-based thickener contained each of AMPB loaded ODTs were associated with an almost complete amlodipine (AMP) dissolution (almost 90% at 10 minutes), whereas the 1.0, 2.0, 3.0 (w/v) % xanthan gum-based food thickener solution containing AMPB loaded ODTs did not show complete AMP dissolution and there were large variations in the initial dissolution stage. This suggests that a mixture of xanthan gum-based thickener and AMPB loaded ODT poses a risk of reduction of bioavailability. In conclusion, a mixture of 4.7 (w/v) % or 7.1 (w/v) % starch-based thickener with ODTs provides complete release of AMP and superior bitterness inhibition, so is the best choice for administration to patients with dysphagia.
文摘Summarizes the processes and development of Baosteel slag processing techniques such as the instantaneous slag chill （ISC） process, the tank-type hot disintegrating process and the rotary drum process. A detailed introduction of the slag comprehensive utilization at Baosteel is given. The details of Baosteel＇ s comprehensive utilization in the fields of simering materials, returned slag for steelmaking, road construction, cement production, mixed concrete, new construction materials, ground-filling materials and reinforced material for soft earth are given. Emphasis is placed on source management and ensuring that from both organizational and managerial perspectives, Baosteel＇ s slag processing techniques are safe and energy-saving, thus constantly demonstrating the issue of sustainable development.
文摘The aim of this study was to prepare diphenhydramine hydrochloride (DPH)-loaded orally fast-disintegrating mini-tablets (OFDMTs) containing either L-aspartic acid (Asp) or L-glutamic acid (Glu) as bitterness-suppressant, to characterize the prepared tablets and to evaluate their bitterness under conditions mimicking those of the oral cavity. The preparation of five formulation batches of the OFDMTs involved mixing DPH, with or without two different concentrations of Asp or Glu, and a premix containing a disintegrating agent. When all ingredients were well mixed, the mixture was directly compacted to form small (4 mm diameter) DPH-loaded OFDMTs. There were only small differences between the tablets with respect to mass, diameter, width and hardness. The disintegration times of the five formulation batches of DPH-loaded OFDMTs were measured using the OD-mate, a disintegration test apparatus in which conditions resemble those of the oral cavity. The disintegration times were all within 10 s of exposure to a medium representing the inside of the oral cavity. Rapid release profiles were observed for DPH, Asp and Glu in these dissolution tests. The taste sensor outputs of samples taken at different times (5 - 30 s) from the dissolution test solutions of the four DPH-loaded OFDMTs containing Asp or Glu were significantly inhibited compared with those of control DPH-loaded OFDMT. These results suggest that the inclusion of Asp or Glu in DPH-loaded OFDMTs is sufficient to mask bitterness in the oral cavity for the first 30 s after the tablet is placed in the mouth. It is anticipated that swallowing will have taken place within 30 s.
文摘AIM: To compare rabeprazole (RPZ; 10 mg) with Lansoprazole orally disintegrating tablets (LPZ; 30 mg OD) in terms of antisecretory activity and blood drug concentration after a single dose. METHODS: Eight H pylori-negative cytochrome P450 (CYP) 2C19 extensive metabolizers were assigned to receive a single oral dose of RPZ 10 mg or LPZ 30 mg OD. Twelve hour intragastric pH monitoring was perform- ed on the day of treatment. Blood samples were also collected after the administration of each drug. RESULTS: LPZ 30 mg OD induced a significantly earlier rise in blood drug concentration than RPZ 10 mg; consequently, LPZ 30 mg OD induced a significantly earlier rise in median pH in the third and fourth hours of the study. CONCLUSION: In H pylori-negative CYP2C19 extensive metabolizers, LPZ 30 mg OD induced a significantly faster inhibition of gastric acid secretion than RPZ 10 mg.
文摘The purpose of this review is to discuss the advantages and limitations of taste sensors in the evaluation of the taste of palatability of different oral dosage forms. First, we consider some ways in which the palatability of various pharmaceutical formulations including orally disintegrating tablets(ODTs) are tested using two different taste sensors. Second, we focus on the evaluation of palatability of ODTs. We compare the usefulness of three pieces of apparatus for estimating the disintegration time of ODTs. Finally, we compare the characteristics of the two taste sensors in the evaluation of palatability of various kinds of drug formulations.
