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Objective: Taste is one of the vital indicators for the quality evaluation of Coptis rhizome (CR), but the traditional taste evaluation lacks objectivity. By establishing the correlation between CR's tastes and alkaloids, an objective basis for the taste evaluation was established. Methods: Ultra-high performance liquid chromatography tandem triple quadrupole mass spectrometry (UHPLC-QQQ-MS/MS) and electronic tongue technique were performed to determine ten alkaloid contents and eight tastes from Coptis chinensis rhizome, Coptis deltoidea rhizome, Coptis teeta rhizome, and Coptis japonica rhizome, respectively. Combined with multivariate statistical analysis, we established models to discriminate the alkaloid contents and tastes of CR, screened the differential alkaloids and tastes, and performed Pearson's correlation analysis on the results of alkaloids and tastes. Results: 1) According to the previous UHPLC-QQQ-MS/MS method established by our research group, the contents of ten alkaloids of the four species of CR were quantified, of which jatrorrhizine, columbamine, and magnoflorine were the differential alkaloids of the four species. 2) The electronic tongue technique realized the objectification of CR's tastes and distinguished the species of CR based on the tastes of aftertaste-A, sourness, bitterness, and richness. 3) Pearson's correlation analysis shows the bitterness of CR was mainly manifested as aftertaste-B, indicating the higher the aftertaste-B value, the higher the berberrubine content. Astringency and aftertaste-A could be suggested as quality evaluation indexes of CR, due to the positively correlated or significantly positively correlated with coptisine, epiberberine, berberine, and palmatine, respectively. Conclusion: Electronic tongue technique has successfully achieved the objectification of the tastes of CR, and combined with UHPLC-QQQ-MS/MS technique for alkaloid quantification and correlation research, it provides a new idea for the quality evaluation of CR. [ABSTRACT FROM AUTHOR]

Background: Propranolol, largely prescribed as an antihypertensive and antiarrhythmic drug in pediatrics, is characterized by a bitter taste and an astringent aftertaste. Currently, the therapy requires crushing of tablets for adults and their dispersion in water many times a day, leading to loss of dosing accuracy, low palatability, and poor compliance for both patients and caregivers. Objectives: This work aimed to exploit cyclodextrin complexation by cogrinding to develop orally disintegrating tablets (ODTs) endowed with reliable dosing accuracy, good palatability and safety, ease of swallowability, and ultimately better compliance for both pediatric patients and caregivers. Results: Different formulation variables and process parameters were evaluated in preparing ODTs. The technological and morphological characterization and disintegration tests were performed according to official and alternative tests to select the ODT formulation based on the drug Hydroxypropyl-β-cyclodextrin (HPβCD) coground complex form containing Pearlitol® Flash as the diluent and 8% Explotab® as the superdisintegrant, which demonstrated the highest % drug dissolution in simulated saliva and acceptable in vitro palatability assessed by the electronic tongue, confirming the good taste-masking power of HPβCD towards propranolol. Conclusions: Such a new dosage form of propranolol could represent a valid alternative to the common extemporaneous preparations, overcoming the lack of solid formulations of propranolol intended for pediatric use. [ABSTRACT FROM AUTHOR]

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Low-cost electrochemical methodologies for the determination of L-ascorbic acid (vitamin C) and the analysis of juices are developed based on its electro-oxidation on carbon screen-printed electrodes. A novel chronoamperometric methodology is developed for the quantification of L-ascorbic acid in fruit juices. The proposed method stands out for its simplicity and rapidity, demonstrating its efficacy in determining L-ascorbic acid content in various fruit juices. Notably, the results obtained with this chronoamperometric approach are compared with those yielded by chromatography, with no significant differences between the two methods being found. Additionally, an electronic tongue is developed for the differentiation of juices based on the square wave voltammetric signals. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study the key flavor characteristics and the influence of oxidation degree of oil on warmed-over flavor of pre-prepared steamed pork with preserved vegetable. The volatile flavor compounds and taste indexes of different brands of pre-prepared steamed pork with preserved vegetable were quantitatively detected by headspace-solid phase micro- extraction-gas chromatography-mass spectrometry and electronic tongue. The key flavor factors of pre-prepared steamed pork with preserved vegetable were screened and analyzed by odor activity value (OAV) and principal component analysis. Acid value, peroxide value and TBA value were used to analyze the oxidation degree of oil and warmed-over flavor of different brands of pre-prepared steamed pork with preserved vegetable. Results showed that a total of 85 volatile compounds were identified from 7 kinds of pre-prepared steamed pork with preserved vegetable, including 16 alkanes, 19 terpenes, 7 alcohols, 22 aldehydes, 3 ketones, 13 esters, 3 phenols and 2 others. A total of 23 key volatile compounds were screened by OAV, and the substances with OAV>10 were 1-octene-3-ol, hexanal, heptanal, octanal, nonanal, (E,E)-2,4- nonadienal, capric aldehyde, (E)-2-decenal, (E,E)-2,4-decenal and 1-octene-3-ketone, which were the key flavor substances for pre-prepared steamed pork with preserved vegetable. The results of electronic tongue and overripe taste evaluation showed that the taste of 7 kinds of pre-prepared steamed pork with preserved vegetable were mainly salty, umami and aftertaste. Its overripe taste mainly presented linseed oil taste and rancidity taste. The oil oxidation indexes of 7 kinds of pre-prepared steamed pork with preserved vegetable were higher and the differences were significant (P<0.05). The correlation analysis showed that the main factors that produce warmed-over flavor were (E)-2-decenal, 2-heptanone, nonylaldehyde, 1-octene-3-ketone, (E,E)-2,4-decenal, hexal, pentaldehyde, heptanal, (E)-2-heptenal and octanal, which were positively correlated with acid value, peroxide value and TBA value. In summary, the key flavor factors of the 7 kinds of pre-prepared steamed pork with preserved vegetable were related to overcooked taste, and it was speculated that the overcooked taste of pre-prepared steamed pork with preserved vegetable was related to the higher oxidation degree of oil. The key flavor factors, electronic tongue and overripe taste evaluation indexes obtained in this study provide the basis for the establishment of flavor quality system and overripe taste control of pre-prepared steamed pork with preserved vegetable. [ABSTRACT FROM AUTHOR]

Sprinkle formulations represent an interesting genre of medicinal products. A frequent problem, however, is the need to mask the unpleasant taste of these drug substances. In the present work, we propose the use of a novel sensor array based on solid-state ion-selective electrodes to evaluate the taste-masking efficiency of rosuvastatin (ROS) sprinkle formulations. Eight Multiple Unit Pellet Systems (MUPSs) were analyzed at two different doses (API_50) and (API_10), as well as pure Active Pharmaceutical Ingredient (API) as a bitter standard. Calcium phosphate-based starter pellets were coated with the mixture containing rosuvastatin. Some of them were additionally coated with hydroxypropyl methylcellulose, which was intended to separate the bitter substance and prevent it from coming into contact with the taste buds. The sensor array consisted of 16 prepared sensors with a polymer membrane that had a different selectivity towards rosuvastatin calcium. The main analytical parameters (sensitivity, selectivity, response time, pH dependence of potential, drift of potential, lifetime) of the constructed ion-selective electrodes sensitive for rosuvastatin were determined. The signals from the sensors array recorded during the experiments were processed using Principal Component Analysis (PCA). The results obtained, i.e., the chemical images of the pharmaceutical samples, indicated that the electronic tongue composed of the developed solid-state electrodes provided respective attributes as sensor signals, enabling both of various kinds of ROS pellets to be distinguished and their similarity to ROS bitterness standards to be tested. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the last decade, significant efforts have been made to predict sensory characteristics using electronic senses, such as the electronic nose (e-nose) and the electronic tongue (e-tongue), and discuss their relationship to the eating quality evaluated by human panels. This study was conducted (1) to characterize the aroma and taste profiles of strawberries over a 5-day storage period (4 °C) using both electronic senses and human panels and (2) to correlate the electronic sense data with human panel data. A total of 10 sensory attributes of strawberries, including 7 aroma and 3 taste attributes, were analyzed by a descriptive sensory panel (n = 16) over the five days. Although the human panel did not find significant differences in the intensities of the strawberry attributes over the five days, the intensity ratings showed an increasing or decreasing trend over the storage period. However, the e-nose and the e-tongue discriminated each of the storage days of the strawberry samples. Furthermore, the partial least square regression coefficients of determination (R2) indicated that the e-nose and the e-tongue were highly predictive in their evaluation of the intensities of all the descriptive sensory attributes. Lastly, the concentrations of furaneol, one of the key volatiles imparting a distinct ripe strawberry aroma, were determined using an e-nose to correlate with the intensities of aroma attributes evaluated by the panel. A significant positive Pearson's correlation coefficient was found with the intensities of overripe aroma. The findings indicate the potential of electronic senses to determine sensory characteristics and their excellent capability to predict the eating quality of strawberries. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Condiment is the property of China Condiment and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cyclocarya paliurus tea, also known as "sweet tea", an herbal tea with Cyclocarya paliurus leaves as raw material, is famous for its unique nutritional benefits and flavor. However, due to the unique "bittersweet" of Cyclocarya paliurus tea, it is still unable to fully satisfy consumers' high-quality taste experience and satisfaction. Therefore, this study aimed to explore metabolites in Cyclocarya paliurus leaves during their growth period, particularly composition and variation of sweet and bitter taste compounds, by combining multi-platform metabolomics analysis with an electronic tongue system and molecular docking simulation technology. The results indicated that there were significant differences in the contents of total phenols, flavonoids, polysaccharides, and saponins in C. paliurus leaves in different growing months. A total of 575 secondary metabolites were identified as potential active metabolites related to sweet/bitter taste using nontargeted metabolomics based on UHPLC-MS/MS analysis. Moreover, molecular docking technology was utilized to study interactions between the candidate metabolites and the sweet receptors T1R2/T1R3 and the bitter receptors T2R4/T2R14. Six key compounds with high sweetness and low bitterness were successfully identified by using computational simulation analysis, including cis-anethole, gluconic acid, beta-D-Sedoheptulose, asparagine, proline, and citrulline, which may serve as candidates for taste modification in Cyclocarya paliurus leaves. These findings provide a new perspective for understanding the sweet and bitter taste characteristics that contribute to the distinctive sensory quality of Cyclocarya paliurus leaves. [ABSTRACT FROM AUTHOR]

In order to study the key flavor characteristics and the influence of oxidation degree of oil on warmed-over flavor of pre-prepared steamed pork with preserved vegetable. The volatile flavor compounds and taste indexes of different brands of pre-prepared steamed pork with preserved vegetable were quantitatively detected by headspace-solid phase microextraction-gas chromatography-mass spectrometry and electronic tongue. The key flavor factors of pre-prepared steamed pork with preserved vegetable were screened and analyzed by odor activity value (OAV) and principal component analysis. Acid value, peroxide value and TBA value were used to analyze the oxidation degree of oil and warmed-over flavor of different brands of pre-prepared steamed pork with preserved vegetable. Results showed that a total of 85 volatile compounds were identified from 7 kinds of pre-prepared steamed pork with preserved vegetable, including 16 alkanes, 19 terpenes, 7 alcohols, 22 aldehydes, 3 ketones, 13 esters, 3 phenols and 2 others. A total of 23 key volatile compounds were screened by OAV, and the substances with OAV>10 were 1-octene-3-ol, hexanal, heptanal, octanal, nonanal, (E,E)-2,4-nonadienal, capric aldehyde, (E)-2-decenal, (E,E)-2,4-decenal and 1-octene-3-ketone, which were the key flavor substances for pre-prepared steamed pork with preserved vegetable. The results of electronic tongue and overripe taste evaluation showed that the taste of 7 kinds of pre-prepared steamed pork with preserved vegetable were mainly salty, umami and aftertaste. Its overripe taste mainly presented linseed oil taste and rancidity taste. The oil oxidation indexes of 7 kinds of pre-prepared steamed pork with preserved vegetable were higher and the differences were significant (P

Abstract Traditionally, Eriocheir sinensis elicits wide distribution, easy accessibility, and unique taste, but the low comprehensive utilization restricts its application. The present study aimed to extract and identify peptides from the defective E. sinensis and analyze the umami mechanism of crab peptides. Virtual hydrolysis showed that protein hydrolysate prepared by the dual enzyme combination (papain and alkaline protease) had high hydrolysis degrees and umami fragments, which was consistent with the actual hydrolysis results. The three strong‐flavoring crab peptides (AADESERM, SDEERMDAL, and EERAESGES) were screened by umami prediction and amino acid sequence analysis, and the umami profiles with thresholds ranged 0.0625–0.250 mg/mL determined by sensory evaluation and electronic tongue. The AADESERM had the highest umami enhancement effect. Besides, molecular docking and molecular dynamics simulation revealed that all the three crab peptides bound stably to the active cavity of T1R1. Asp147, His71, Ala302, Cys106, and Lys379 were the crucial binding sites for umami presentation. This study was accurately identifying umami crab peptides from defective E. sinensis based on pre‐virtual hydrolysis. It will reduce the wastage of crab resources and further provide support for the high‐value utilization.

Fritillaria is a widely used traditional Chinese medicine, with a complex source and a wide variety of medicinal materials. Different varieties have similar external characteristics, making it difficult to distinguish using traditional methods. To achieve rapid and objective identification of Fritillaria species, this study proposed a method for rapid identification based on electronic tongue and electronic eye combined with a deep learning model. Electronic tongue and electronic eye were utilized to collect gustatory fingerprint and visual image information from different categories of Fritillaria, respectively. An enhanced Transformer encoder based on causal attention mechanism was employed to extract time-series features from the ET signals and augment the ability to extract local features. Meanwhile, an improved ShuffleNetV2 network based on coordinate attention mechanism was used to extract morphological features of EE image and suppress background noise. Subsequently, a feature weighted fusion module was presented to adaptively integrate the feature information extracted from both the electronic tongue and electronic eye, and achieve classification and recognition of the fused features. The experimental results indicated that the proposed information fusion method had better classification performance compared to separate usage of electronic tongue and electronic eye, with a testing accuracy of 98.4%. This study provides a novel approach for rapidly identifying Fritillaria varieties, which offers research insights into the classification and traceability analysis of other Chinese medicinal materials.

This study aims to investigate the influence of the carboxyl substituent groups and the carbon chain length of acrylic acid of ferulic acid (FA) on its bitterness inhibitory effect. Molecular dynamics simulations were employed to analyze the conformational differences in the interaction between bitter taste receptors and bitterness inhibitors, including FA and 4-(2, 2, 3-trimethylcyclopentyl) butyric acid, and the bitterness activator Acesulfame K in order to determine the inhibitory structure F4 of FA for bitter taste receptors. Based on the interaction modes of F4, a series of FA derivatives were constructed. The structure-activity relationship of FA as a bitterness inhibitor was explored by electronic tongue. The results revealed that based on the premise that the interaction modes of the ligand and F4 would be consistent, the charge amount of the hydrogen bond acceptor on FA’s carboxyl substituent group was inversely proportional to the intensity of bitterness inhibition. Adjusting the length of FA’s acrylic acid carbon chain to two carbons destabilized the interaction between the ligand and the key residues, resulting in a reduction in the intensity of bitterness inhibition. In contrast, extending the carbon chain length to four carbons enhanced the bitterness inhibitory intensity. As a new bitterness inhibitor, FA has the potential for development to improve food quality.

Copyright of Food & Fermentation Industries is the property of Food & Fermentation Industries and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study focused on developing an advanced bitterness sensor designed to minimize interference from common anions such as nitrate (NO3−) and iodide (I−) by incorporating partially dissociated amine compounds into the sensor membrane. The conventional bitter sensor (C00) uses fully dissociated quaternary ammonium salt tetradecyl ammonium bromide (TDAB), which typically exhibits high responses to these anions, leading to inaccurate bitterness assessments. To address this issue, we explored the use of three partially dissociated amines—oleylamine (OAm), dioctadecylamine (DODA), and tridodecylamine (TDA)—as lipids in the membrane components. We fabricated sensor membranes and tested their ion selectivity, interference resistance to anion, and sensitivity to iso-alpha acids (IAAs), representative bitter compounds in beer. The results showed that the membranes with partially dissociated amines significantly reduced anion interference. Notably, the sensitivity of the TDA membrane to IAAs was 80.4 mV/dec in concentration, exceeding the 68.5 mV/dec of the TDAB membrane. This enhanced sensitivity, coupled with reduced anion interference, reveals a novel property of partially dissociated lipids in taste sensors, distinguishing them from fully dissociated lipids. These findings pave the way for the development of sensors that can accurately assess a bitter taste and have potential applications in the food and beverage industry. [ABSTRACT FROM AUTHOR]

Moringa oleifera leaves (MOLs) have gained significant attention due to their nutritional and biological activity. Therefore, this study aimed to examine its flavor characteristics and underlying compositions. In this study, we used ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS), gas chromatography-mass spectrometry (GC-MS), electronic nose, electronic tongue, and molecular docking to comprehensively investigate the chemical properties and flavor profiles of MOLs. UPLC-Q-TOF-MS and GC-MS were instrumental in identifying the 20 non-volatile and 19 volatile constituents of MOLs, respectively. The electronic nose and electronic tongue systems provided an objective evaluation of the sweet, bitter, and spicy attributes and flavor characteristics of MOLs. Concurrently, molecular docking was employed to elucidate the material basis of flavor profiles. It revealed that glucosinolates and flavonoids are probably the key components for the bitter taste of MOLs. The sweet taste may be attributed to glucosinolates and flavonoids. The spicy scent appears to be linked to the presence of glucosinolates and alkaloids. The integration of these techniques confers a thorough understanding of the chemical composition and sensory properties of MOLs. These findings have significant implications for innovative applications in the food industry as well as pharmaceuticals and agriculture sectors; furthermore, they contribute towards enhancing the perception of Moringa oleifera as a valuable natural resource. [ABSTRACT FROM AUTHOR]

Coffee flavor is profoundly influenced by numerous factors, including the origin's terroir and variety, as well as post-harvest processing, drying, and sorting. Even specialty coffee beans, carefully selected for their high quality, can exhibit a wide range of flavor profiles depending on how they are roasted and ground. Traditionally, the coffee industry has used the Brewing Control Chart, which considers total dissolved solids (TDS) and extraction (E), to guide professionals toward achieving consistent flavors. However, this chart has limitations in representing the complex chemical composition and its influence on the sensory attributes of coffee. This study explores a more comprehensive approach to evaluating coffee quality by utilizing a taste sensing system (electronic tongue) to measure acidity and bitterness for full-immersion brewing. We investigate the impact of brew ratio and grind size on these taste attributes, while also considering the influence of roast level. Our findings demonstrate that finer grind sizes significantly affect TDS and E, while roast level and grind size significantly affect sensory attributes, as measured by the taste sensing system. This approach complements the traditional Brewing Control Chart by providing a more nuanced understanding of how roast level and grind size influence coffee flavor. [ABSTRACT FROM AUTHOR]

This paper reports the use of nanoparticles (NPs)-modified voltammetric sensors for the rapid determination of glycerol in the presence of ethanol and methanol, which are used in the transesterification reaction of biodiesel production. Two different modified electrodes have been prepared to form the electronic tongue (ET): copper hexacyanoferrate NPs obtained by chemical synthesis and mixed into graphite/epoxy (GEC) electrode, and nickel hydroxide NPs electrodeposited in reduced graphene oxide onto a GEC electrode. The response characteristics of these electrodes were first evaluated by building the respective calibration against glycerol, ethanol, and methanol. The electrodes demonstrated good stability during their analytical characterization, while principal component analysis confirmed the differentiated response against the different alcohols. Finally, the quantification of mixtures of these substances was achieved by a genetic algorithm-artificial neural networks (GA-ANNs) model, showing satisfactory agreement between expected and obtained values. [ABSTRACT FROM AUTHOR]

Changes in the flavor and taste profiles of Paddy Field Carp after deodorization with perilla juice (PJ), cooking wine (CW) and a mixture of the two (PJ-CW) were analyzed using the E-nose, E-tongue, gas chromatography–ion mobility spectrometry (GC-IMS), free amino acid analysis and taste nucleotide analysis. The E-nose and E-tongue revealed that deodorization reduced the content of sulfur-containing compounds, enhanced umami, bitterness, sourness and astringency, and decreased saltiness. PCA and OPLS-DA analysis successfully distinguished between the effects of the treatments. Free amino acids increased from 8777.67 to 11,125.98 mg/100 g and umami amino acids increased from 128.24 to 150.37 mg/100 g after PJ-CW deodorization (p < 0.05). Equivalent umami concentration (EUC) comparisons showed that PJ-CW treatment produced the greatest synergistic umami enhancement (to 3.15 g MSG equiv./100 g). GC-IMS detected 52 aroma compounds; PJ treatment produced the greatest diversity of aldehydes, including heptanal, nonanal, hexanal, 3-methylbutanal, (E)-2-heptenal and (E,E)-2,4-heptadienal. The total content of volatile flavor compounds was the highest after PJ-CW treatment, and the content of many characteristic flavor substances (3-hydroxy-2-butanone, benzaldehyde, 5-methyl-2(3H)-furanone) increased. These findings provided a theoretical basis for the further development of deodorization methods for Paddy Field Carp. [ABSTRACT FROM AUTHOR]

In recent decades, taste sensors have been increasingly utilized to assess the taste of oral medicines, particularly focusing on bitterness, a major obstacle to patient acceptance and adherence. This objective and safe method holds promise for enhancing the development of patient-friendly medicines in pharmaceutical companies. This review article introduces its application in measuring the intensity of bitterness in medicine, confirming the achievement of taste masking, distinguishing taste differences between branded and generic medicines, and identifying substances to suppress bitterness in target medicines. Another application of the sensor is to predict a significant increase in bitterness when medicine is taken with certain foods/beverages or concomitant medication. Additionally, to verify the sensor's predictability, a significant correlation has been demonstrated between the output of a bitter-sensitive sensor designed for drug bitterness (BT0) and the bitterness responses of the human taste receptor hT2R14 from BitterDB (huji.ac.il). As a recent advancement, a novel taste sensor equipped with lipid/polymer membranes modified by 3-Br-2,6-dihydroxybenzoic acid (2,6-DHBA), based on the concept of allostery, is introduced. This sensor successfully predicts the bitterness of non-charged pharmaceuticals with xanthine skeletons, such as caffeine or related compounds. Finally, the future prospects of taste sensors are discussed. [ABSTRACT FROM AUTHOR]

Rhinacanthins, derived from Rhinacanthus nasutus, widely used in traditional medicine, exhibit antifungal, anticancer, antiviral, antibacterial, and antiplatelet aggregation effects. Recently, their anti-diabetic activity was confirmed, which makes them an interesting natural alternative in the therapy of the early stage of diabetes mellitus. The aim of this study was to demonstrate the possibility of formulating orodispersible tablets (ODTs) and orodispersible films (ODFs) containing rhinacanthin-rich extract (RRE). Tablets with 50 mg or 100 mg of RRE were produced by direct compression. ODFs were manufactured by casting of Lycoat RS 720 or polyvinyl alcohol solution with RRE and additional excipients. The mechanical properties and disintegration times of the prepared formulations were studied. The effectiveness of taste masking was analyzed with an electronic tongue system. Six months simplified stability studies were performed in conditions complying to ICH guidelines. Appropriate friability of ODTs was achieved, despite low tensile strength (0.45–0.62 MPa). All prepared ODFs successfully met the acceptance criteria regarding Young's modulus, tensile strength, and elongation at break. The observed variations in their mechanical properties were dependent on the type and quantity of polymers and plasticizers used. Disintegration time of ODTs ranged from 38.7 s to 54.2 s, while for ODFs from 24.2 to 40 s in the pharmacopoeial apparatus. Analyses made with the electronic tongue showed the significant taste-masking effect in both formulations. The addition of sucralose as a sweetener and menthol with mint flavor as a taste-masking agent was sufficient to mask an RRE's taste in the case of ODTs and ODFs. Stability studies of ODTs packed in the PVC/Alu blisters showed a decrease in the RRE content below 90% after 6 months. However, ODFs with PVA were physicochemically stable for 6 months while being stored in Alu/Alu sachets. Our study proved for the first time the possibility of the formulation of orodispersible dosage forms with RRE, characterized by good mechanical properties, disintegration time, and appropriate taste masking. [ABSTRACT FROM AUTHOR]

BACKGROUND: Astragalus is a widely used traditional Chinese medicine material that is easily confused due to its quality, price and other factors derived from different origins. This article describes a novel method for the rapid tracing and detection of Astragalus via the joint application of an electronic tongue (ET) and an electronic eye (EE) combined with a lightweight convoluted neural network (CNN)–transformer model. First, ET and EE systems were employed to measure the taste fingerprints and appearance images, respectively, of different Astragalus samples. Three spectral transform methods – the Markov transition field, short‐time Fourier transform and recurrence plot – were utilized to convert the ET signals into 2D spectrograms. Then, the obtained ET spectrograms were fused with the EE image to obtain multimodal information. A lightweight hybrid model, termed GETNet, was designed to achieve pattern recognition for the Astragalus fusion information. The proposed model employed an improved transformer module and an improved Ghost bottleneck as its backbone network, complementarily utilizing the benefits of CNN and transformer architectures for local and global feature representation. Furthermore, the Ghost bottleneck was further optimized using a channel attention technique, which boosted the model's feature extraction effectiveness. RESULTS: The experiments indicate that the proposed data fusion strategy based on ET and EE devices has better recognition accuracy than that attained with independent sensing devices. CONCLUSION: The proposed method achieved high precision (99.1%) and recall (99.1%) values, providing a novel approach for rapidly identifying the origin of Astragalus, and it holds great promise for applications involving other types of Chinese herbal medicines. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Heat treatment is widely applied in food processing, but its significant effects on flavor are often overlooked. This study explored how heat treatment impacts the flavor compounds of Antarctic krill. The volatile substances and flavor profiles of Antarctic krill post steaming or hot air drying were analyzed using headspace solid-phase microextraction, gas chromatography-mass spectrometry (HS-SPME-GC-MS), gas chromatography-ion mobility spectrometry (GC-IMS), and electronic tongue detection techniques. Free amino acids (FAAs) content, the main flavor precursors, were quantified and compared. The results showed that the FAAs content of SK was the lowest at 48.44 ± 2.10 mg/g db, while the FAAs content of HD_105 was the highest at 67.42 ± 1.77 mg/g db. Drying amplified the flavor intensity of umami and bitter amino acids, while steaming significantly increased the content of the sweet amino acid proline (p < 0.05). The electronic tongue discerned that drying had more pronounced effects than steaming on saltiness, umami, bitterness, and astringency. By combining the volatile organic compounds (VOCs) fingerprints with the results of the GC-MS analysis of five samples, it was observed that the richness in fat and aromatic taste of shrimp powder after hot air drying at 60℃ (HD_60) and 80℃ (HD_80) was enhanced. Krill dried at 105℃ (HD_105) predominantly exhibited a roasted flavor profile, while steamed krill (SK) displayed minimal alterations in volatile flavors. In summary, steaming increased the sweet amino acid content in krill, while drying enhanced krill's aroma characteristics. This study furnishes valuable insights for the subsequent processing and utilization of Antarctic krill to augment its flavor quality. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The objective of this study was to investigate the umami characteristics of soy sauce using electronic tongue evaluation and amino acid composition and matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI−TOF MS) analysis. The soy sauce peptides were isolated from soy sauce using XAD−16 macroporous resin combined with ethanol solution. The results showed that the soy sauce peptide fraction eluted by 60% ethanol (SS−60%) exhibited a prominent umami taste, and the umami scores were highly positively correlated with the amino acid nitrogen contents of soy sauces. The umami scores of SS−60% were significantly positively correlated with the contents of free amino acids. Especially, Phe showed the highest positive correlation with the umami scores. In addition, five characteristic ion peaks with m/z at 499, 561, 643, 649, and 855 were identified in the peptide mass fingerprinting. Therefore, this study provides new insights into the umami characteristics for the taste evaluation and reality identification of soy sauce. [ABSTRACT FROM AUTHOR]

Mefloquine (MQ) is an antimalarial medication prescribed to treat or malaria prevention.. When taken by children, vomiting usually occurs, and new doses of medication frequently need to be taken. So, developing pediatric medicines using taste-masked antimalarial drug complexes is mandatory for the success of mefloquine administration. The hypothesis that binding mefloquine to an ion-exchange resin (R) could circumvent the drug's bitter taste problem was proposed, and solid-state 13C cross-polarization magic angle spinning (CPMAS) NMR was able to follow MQ–R mixtures through chemical shift and relaxation measurements. The nature of MQ–R complex formation could then be determined. Impedimetric electronic tongue equipment also verified the resinate taste-masking efficiency in vitro. Variations in chemical shifts and structure dynamics measured by proton relaxation properties (e.g., T1ρH) were used as probes to follow the extension of mixing and specific interactions that would be present in MQ–R. A significant decrease in T1ρH values was observed for MQ carbons in MQ–R complexes, compared to the ones in MQ (from 100–200 ms in MQ to 20–50 ms in an MQ–R complex). The results evidenced that the cationic resin interacts strongly with mefloquine molecules in the formulation of a 1:1 ratio complex. Thus, 13C CPMAS NMR allowed the confirmation of the presence of a binding between mefloquine and polacrilin in the MQ–R formulation studied. [ABSTRACT FROM AUTHOR]

Vacuum freeze drying (VFD) combined with thermal drying can solve the defects of vacuum freeze-dried chives, such as faint flavor, unpleasant color, and taste. However, the mechanisms for enhancing flavor, reducing lightness, and improving taste through combined drying remain to be explored. In this study, the effects of vacuum freeze drying combined with hot air drying, vacuum freeze drying combined with infrared hot air drying, and vacuum freeze drying combined with catalytic infrared drying (VFD-CIRD) on the flavor and quality characteristics of chive leaves and stems were investigated. The results demonstrated that VFD-CIRD had the richest flavor, attributed to the key aromas hydroxyacetone and 2-ethyl-6-methylpyrazine. Combined drying eliminated the wax layer on the surface of chive leaves, which reduced lightness. Furthermore, VFD-CIRD could degrade phenolic compounds in chives, thereby reducing the bitterness. VFD-CIRD has the potential to become the basis for the industrial production of high-quality dried chives. [ABSTRACT FROM AUTHOR]

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In this study, the flavor characteristics and physicochemical properties of salted egg yolk (SEY) under different cooking methods (steaming/baking/microwaving) were investigated. The microwave-treated SEY exhibited the highest levels of salt content, cooking loss, lightness, and b* value, as well as the highest content of flavor amino acids. A total of 31, 27, and 29 volatile compounds were detected after steaming, baking, and microwave treatments, respectively, covering 10 chemical families. The partial least squares discriminant analysis confirmed that 21 compounds, including octanol, pyrazine, 2-pentyl-furan, and 1-octen-3-ol, were the key volatile compounds affecting the classification of SEY aroma. The electronic nose revealed a sharp distinction in the overall flavor profile of SEY with varying heat treatments. However, no dramatic differences were observed in terms of fatty acid composition. Microwave treatment was identified as presenting a promising approach for enhancing the aroma profile of SEY. These findings contribute novel insights into flavor evaluation and the development of egg products as ingredients for thermal processing. [ABSTRACT FROM AUTHOR]

The adulteration and counterfeiting of tea products lead to economic losses and poses health concerns for consumers. This study proposed a novel method to rapidly discriminate the category of oolong tea, a famous Chinese semifermented tea, by applying an electronic nose (E-nose) and electronic tongue (E-tongue) system combined with a modified generative adversarial network (GAN) - temporal convolutional network (TCN) composite model. Specifically, the olfactory and gustatory fingerprint signals of tea samples are first collected by E-nose and E-tongue sensory systems, respectively. Considering the unbalanced scarcity and small-sample nature of data collection, a Wasserstein GAN model is employed to learn the data representations of E-nose and E-tongue signals and generate highly realistic training samples. Two improved temporal convolutional networks (TCNs) integrated with a squeeze-and-excitation attention module are proposed to learn the significant features and discover the internal patterns from the signals of the E-nose and E-tongue. Then, a dynamic fusion module (DFM) is developed to fuse the features of the E-nose and E-tongue to achieve information complementarity and enhancement. Finally, the fused information is sent to a classifier to predict the class label. The proposed approach is assessed using different performance metrics, and the experimental results reveal that an accuracy of 99.33% was achieved. The above research will provide a new approach for the rapid identification of different categories of oolong tea, which has a wide range of application prospects in the rapid classification and detection of other agricultural products. [ABSTRACT FROM AUTHOR]

At present, there are relatively few studies on the influence of green aroma and aldehyde aroma compounds on the sweetness perception of sucrose. This study examined the effects of 11 aroma compounds from sweet orange, characterized by green and aldehyde flavors, on the sweetness of a 5 % sucrose solution. Using artificial sensory analysis and electronic tongue technology, it was found that most aromatic compounds can inhibit sweetness perception, and the inhibitory effect of trans-2-decenoaldehyde is the most significant. The mechanism of inhibition was explored through molecular simulation, revealing that the binding free energy of molecular docking was greater than −5.9 kcal/mol. Further molecular dynamics analysis showed that compared with the T1R2/T1R3 sucrose binary system, the addition of aroma substances reduced the number of hotspot residues involved in protein ligand binding, and did not enhance the binding ability of ligand proteins, indicating an inhibitory effect.

ObjectiveTaste is one of the vital indicators for the quality evaluation of Coptis rhizome (CR), but the traditional taste evaluation lacks objectivity. By establishing the correlation between CR’s tastes and alkaloids, an objective basis for the taste evaluation was established.MethodsUltra-high performance liquid chromatography tandem triple quadrupole mass spectrometry (UHPLC-QQQ-MS/MS) and electronic tongue technique were performed to determine ten alkaloid contents and eight tastes from Coptis chinensis rhizome, Coptis deltoidea rhizome, Coptis teeta rhizome, and Coptis japonica rhizome, respectively. Combined with multivariate statistical analysis, we established models to discriminate the alkaloid contents and tastes of CR, screened the differential alkaloids and tastes, and performed Pearson’s correlation analysis on the results of alkaloids and tastes.Results1) According to the previous UHPLC-QQQ-MS/MS method established by our research group, the contents of ten alkaloids of the four species of CR were quantified, of which jatrorrhizine, columbamine, and magnoflorine were the differential alkaloids of the four species. 2) The electronic tongue technique realized the objectification of CR’s tastes and distinguished the species of CR based on the tastes of aftertaste-A, sourness, bitterness, and richness. 3) Pearson’s correlation analysis shows the bitterness of CR was mainly manifested as aftertaste-B, indicating the higher the aftertaste-B value, the higher the berberrubine content. Astringency and aftertaste-A could be suggested as quality evaluation indexes of CR, due to the positively correlated or significantly positively correlated with coptisine, epiberberine, berberine, and palmatine, respectively.ConclusionElectronic tongue technique has successfully achieved the objectification of the tastes of CR, and combined with UHPLC-QQQ-MS/MS technique for alkaloid quantification and correlation research, it provides a new idea for the quality evaluation of CR.

IntroductionGanoderma lucidum is one well known functional food resource. The triterpenes, such as Ganoderic acid A and Ganoderic acid D, as well as the sensory characteristics could reflect the quality of G. lucidum.MethodsIn order to find rapid methods to evaluate the Ganoderma lucidum from different origins, Electronic tongue and High performance liquid chromatography (HPLC) were used in this paper.ResultsThe Electronic tongue results combined with PCA and LDA analysis showed that the taste of different batches of G. lucidum from the same producing area was similar, but quite different from different producing areas. The overall taste of G. lucidum from Anhui was obviously different from that from Shandong and Sichuan. Meanwhile, the concentrations of two main triterpenes of G. lucidum, Ganoderic acid A and Ganoderic acid D were detected by using HPLC, and the variability of different origins were consistent with that from Electronic tongue. Moreover, the triterpenoid acids content in G. lucidum from Shandong was about 1.04 mg/g, which is the highest of the three origins, followed by Sichuan and Anhui.DiscussionBoth the Electronic tongue and HPLC could efficiently distinguish the different origins of G. lucidum from taste property or content of key triterpenes, and provide new technical support for the quality evaluation of G. lucidum.

An electronic tongue was developed for the detection of lactose content in commercial foods. This was accomplished by employing optimized detection units comprised of gelatin films and information visualization methods for data analysis. The films incorporating gelatin, tannic acid, and zein, served as the basis for the sensors, whose electrodes were screen printed using carbon black ink. Self-supporting films were produced using various combinations of these materials, some of which had limited solubility in water (from 33% to 36%). They were hydrophobic and yielded reproducible electrical impedance spectra to be used as sensing units. Lactose detection experiments were conducted using various standard concentrations and commercial food samples. Capacitance decreased with lactose concentration at low frequencies, with films lacking a hydrophobic coating showing higher capacitance signals (exceeding 200 nF). Low limits of detection were obtained for the most sensitive films, as low as 2.03 × 10-19 mol/L, comparable to existing biosensors to detect lactose. Combining data from four sensing units in an electronic tongue allowed for the differentiation of lactose concentrations ranging from 1 × 10-20 mol/L to 1 × 10-6 mol/L using the interactive document mapping (IDMAP) projection technique, leading to a silhouette coefficient of 0.716. The discriminatory power of the electronic tongue was validated by distinguishing between lactose-containing and lactose-free food products. These findings highlight the potential of electronic tongues made with sustainable materials for applications in food quality assessment and lactose intolerance management. [ABSTRACT FROM AUTHOR]

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The potential of a voltametric E-tongue coupled with a custom data pre-processing stage to improve the performance of machine learning techniques for rapid discrimination of tomato purées between cultivars of different economic value has been investigated. To this aim, a sensor array with screen-printed carbon electrodes modified with gold nanoparticles (GNP), copper nanoparticles (CNP) and bulk gold subsequently modified with poly(3,4-ethylenedioxythiophene) (PEDOT), was developed to acquire data to be transformed by a custom pre-processing pipeline and then processed by a set of commonly used classifiers. The GNP and CNP-modified electrodes, selected based on their sensitivity to soluble monosaccharides, demonstrated good ability in discriminating samples of different cultivars. Among the different data analysis methods tested, Linear Discriminant Analysis (LDA) proved to be particularly suitable, obtaining an average F1 score of 99.26%. The pre-processing stage was beneficial in reducing the number of input features, decreasing the computational cost, i.e., the number of computing operations to be performed, of the entire method and aiding future cost-efficient hardware implementation. These findings proved that coupling the multi-sensing platform featuring properly modified sensors with the custom pre-processing method developed and LDA provided an optimal tradeoff between analytical problem solving and reliable chemical information, as well as accuracy and computational complexity. These results can be preliminary to the design of hardware solutions that could be embedded into low-cost portable devices. [ABSTRACT FROM AUTHOR]

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Longan fruit generally undergoes rapid quality deterioration during the postharvest stage, with the manifestation of flavor loss as well as pronounced off-odor production. Nevertheless, the unapparent aroma makes people ignore the odor change in postharvest longan. Sensory analysis serves as an indispensable method combining instrumental detection and the perceptibility of human sensation in a comprehensive evaluation of quality during production and consumption. In this study, we established the evaluating data of the appearance, flavor, taste substances, volatile profiles, and deterioration of 'Shixia' longan throughout room-temperature storage using instrument assessment and descriptive measurements. Our results indicated that both the appearance state and the taste condition notably engendered confusion or trouble for consumers to judge under the quality transition period. Conversely, the development of odor was highly consistent with that of quality deterioration. Some unpleasant volatile substances including alcohol (ethanol), acid (acetic acid), and esters (acetic acid methyl ester and ethyl acetate) were probably the cause of off-odor during the storage. The result of the sensory evaluation also presents a more significant relevance between the overall quality and the odor. Generally, the work paved the way to reveal the importance of odor profiles for assessing the comprehensive quality condition of postharvest room-temperature stored longan. [ABSTRACT FROM AUTHOR]

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The taste of tea infusions is one of the important factors to evaluate the quality and classify the grade of tea. In order to explore the key components that cause the difference in different grades of Dianhong tea infusions, this study systematically studied the taste quality of different grades of Dianhong tea infusions by combining sensory evaluation, electronic tongue and ultra -performance liquid chromatography -quadrupole orbital trap mass spectrometry. The results showed that the taste attributes of 12 Dianhong infusions were divided into three groups (superior-quality group, good-quality group and poor-quality group) according to the sensory evaluation. The results of electronic tongue were consistent with the sensory evaluation. The response of electronic tongue sensors corresponding to different taste properties to the three groups of tea infusion was different. Further, the metabolomics were studied by ultra-performance liquid chromatog-raphy-quadrupole orbital trap mass spectrometry. A total of 116 compounds were detected, including 26 amino acids and their derivatives, 15 catechins and their polymers, 16 phenolic acids, 15 nucleotides and their derivatives, 20 flavonoids (alcohols) and their glycosides, 6 alkaloids, 11 organic acids, 2 sugars and 5 other classes. In addition, three groups of Dianhong tea infusions were well distinguished by using orthogonal partial least squares regression analysis (R2Y =0.985, #2=0.902). In addition, based on VIP>1.2 and significance P<0.05, a total of 7 key differential components affecting different grades of tea infusions were screened out, specifically, arginine, gallatechin, epicatechin, uric acid, abscisic acid, niacin, adenosine-5 '-diphosphate. The results provided theoretical support for quality evaluation and quality control of different grades of Dianhong tea infusions. [ABSTRACT FROM AUTHOR]

Intelligent perception technology is an advanced bionic technology that simulates human sensory organs using sensor technology to capture various sensory attributes of samples. By combining intelligent recognition algorithms and signal processing, it enables the comprehensive anthropomorphic evaluation of sample quality. As a modern extension and supplement to traditional sensory evaluation techniques, intelligent perception technology offers technical characteristics such as fast detection speed, no sample pretreatment, easy operation, and real-time online analysis, etc. It serves as a powerful tool for in-depth perception of sensory quality in food. This paper provides an overview of several key intelligent perception technologies in food industry, including electronic tongue technology for simulating taste, electronic nose technology for simulating smell, texture analyzers for simulating touch, and electronic vision systems for simulating sight. Additionally, the article summarizes the application and research progress of intelligent perception technology in food quality evaluation, while also discussing the potential development possibilities of intelligent sensing technology in static sensory, dynamic sensory, and emotional perception representation. With rapid advancements in interdisciplinary fields such as biology, materials science, and computer science, intelligent perception technology is expected to evolve from distinguishing and identifying the overall sensory characteristics of samples to detecting and representing food preferences and emotions, thereby providing new impetus for the development of the food industry. [ABSTRACT FROM AUTHOR]

The performance of an electronic tongue can be optimized by varying the number and types of sensors in the array and by employing data-processing methods. Sensor selection is typically performed empirically, with sensors picked up either by analyzing their characteristics or through trial and error, which does not guarantee an optimized sensor array composition. This study focuses on developing a method for sensor selection for an electronic tongue using simulated sensor data and Lasso regularization. Simulated sensor responses were calculated using sensor parameters such as sensitivity and selectivity, which were determined in the individual analyte solutions. Sensor selection was carried out using Lasso regularization, which removes redundant or highly correlated variables without much loss of information. The objective of the optimization of the sensor array was twofold, aiming to minimize both quantification errors and the number of sensors in the array. The quantification of toxins belonging to one of the groups of marine toxins—paralytic shellfish toxins (PSTs)—using arrays of potentiometric chemical sensors was used as a case study. Eight PSTs corresponding to the toxin profiles in bivalves due to the two common toxin-producing phytoplankton species, G. catenatum (dcSTX, GTX5, GTX6, and C1+2) and A. minitum (STX, GTX2+3), as well as total sample toxicity, were included in the study. Experimental validation with mixed solutions of two groups of toxins confirmed the suitability of the proposed method of sensor array optimization with better performance obtained for the a priori optimized sensor arrays. The results indicate that the use of simulated sensor responses and Lasso regularization is a rapid and efficient method for the selection of an optimized sensor array. [ABSTRACT FROM AUTHOR]

Copyright of Packaging & Food Machinery is the property of Packaging & Food Machinery Magazine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Sweetness in food delivers a delightful sensory experience, underscoring the crucial role of sweeteners in the food industry. However, the widespread use of sweeteners has sparked health concerns. This underscores the importance of developing and screening natural, health-conscious sweeteners. Our study represents a groundbreaking venture into the discovery of such sweeteners derived from egg and soy proteins. Employing virtual hydrolysis as a novel technique, our research entailed a comprehensive screening process that evaluated biological activity, solubility, and toxicity of the derived compounds. We harnessed cutting-edge machine learning methodologies, specifically the latest graph neural network models, for predicting the sweetness of molecules. Subsequent refinements were made through molecular docking screenings and molecular dynamics simulations. This meticulous research approach culminated in the identification of three promising sweet peptides: DCY(Asp-Cys-Tyr), GGR(Gly-Gly-Arg), and IGR(Ile-Gly-Arg). Their binding affinity with T1R2/T1R3 was lower than −15 kcal/mol. Using an electronic tongue, we verified the taste profiles of these peptides, with IGR emerging as the most favorable in terms of taste with a sweetness value of 19.29 and bitterness value of 1.71. This study not only reveals the potential of these natural peptides as healthier alternatives to traditional sweeteners in food applications but also demonstrates the successful synergy of computational predictions and experimental validations in the realm of flavor science. [ABSTRACT FROM AUTHOR]