Investigation on taste characteristics and sensory perception of soft-boiled chicken during oral processing based on electronic tongue and electronic nose

The sensory perception of food is a dynamic process,which is closely related to the release of flavor substances during oral processing.It’s not only affected by the food material,but also subjected to the individual oral environment.To explore the oral processing characteristics of soft-boiled chicken,the sensory properties,texture,particle size,viscosity,characteristic values of electronic nose and tongue of different chicken samples were investigated.The correlation analysis showed that the physical characteristics especially the cohesiveness,springiness,resilience of the sample determined oral processing behavior.The addition of chicken skin played a role in lubrication during oral processing.The particle size of the bolus was heightened at the early stage,and the fluidity was enhanced in the end,which reduced the chewing time to the swallowing point and raised the aromatic compounds signal of electronic nose.But the effect of chicken skin on chicken thigh with relatively high fat content,was opposite in electronic nose,which had a certain masking effect on the perception of umami and sweet taste.In conclusion,fat played a critical role in chicken oral processing and chicken thigh had obvious advantages in comprehensive evaluation of soft-boiled chicken,which was more popular among people.

The ceRNA Network Indicates Its Immune Function in Peripheral Blood Leukocytes of Half-Smooth Tongue Sole(Cynoglossus semilaevis)After Stimulation with Chitosan Oligosaccharide

As an efficient immunostimulant,chitosan oligosaccharide(COS)can enhance the immunity of teleosts;however,the underlying molecular mechanisms still require elucidation.Competing endogenous RNAs(ceRNAs)are vital regulators in the immune response,but their roles in half-smooth tongue sole(Cynoglossus semilaevis)remain unclear.In this study,for the first time,we studied whole-transcriptome expression profiles and analyzed ceRNA networks in peripheral blood leukocytes of half-smooth tongue sole treated with COS.A total of 19 circRNAs(DE-circRNAs),18 miRNAs(DE-miRNAs)and 50 previously identified lncRNAs(DElncRNAs)were differentially expressed after COS stimulation.The DE-lncRNAs and DE-miRNAs targeted numerous immunity-related genes,and were enriched in important pathways,including MAPK and Toll-like receptor signaling pathways,suggesting the immunoregulatory roles of COS.Furthermore,we constructed circRNA-miRNA-mRNA and lncRNA-miRNA-mRNA regulatory networks using DE-circRNAs,DE-miRNAs,DE-lncRNAs,and DE-mRNAs.Additionally,a ceRNA network with immunity-related DEmRNAs was constructed,showing that 3 DE-circRNAs,12 DE-lncRNAs,and 29 DEGs exhibited crosstalk through 9 DE-miRNAs.Intriguingly,a DE-miRNA in the ceRNA network,miR-144-3p,was targeted by DE-lncRNA tnrc6a,and negatively regulated the genes of inhibitor of nuclear factor kappa B kinases(IKKs)(ikbkg,ikbkb,and ikbip)and c3ar1.Ikbkg,ikbkb,and c3ar1 were significantly up-regulated in macrophages stimulated by LPS.It could be inferred that ncRNAs participated in the immune and inflammatory response by acting as ceRNAs after COS stimulation in teleosts.These findings indicate that COS could enhance the immunity of teleosts by regulating ncRNAs,and lay the foundation for further practical application of COS in aquaculture.

The activation of adenosine monophosphate–activated protein kinase inhibits the migration of tongue squamous cell carcinoma cells by targeting Claudin-1 via epithelial–mesenchymal transition

Background:The role of Claudin-1 in tongue squamous cell carcinoma(TSCC)metastasis needs further clarification,particularly its impact on cell migration.Herein,our study aims to investigate the role of Claudin-1 in TSCC cell migration and its underlying mechanisms.Methods:36 TSCC tissue samples underwent immunohistochemical staining for Claudin-1.Western blotting and immunofluorescence analyses were conducted to evaluate Claudin-1 expression and distribution in TSCC cells.Claudin-1 knockdown cell lines were established using short hairpin RNA transfection.Migration effects were assessed through wound healing assays.Furthermore,the expression of EMTassociated molecules was measured via western blotting.Results:Claudin-1 expression decreased as TSCC malignancy increased.Adenosine monophosphate–activated protein kinase(AMPK)activation led to increased Claudin-1 expression and membrane translocation,inhibiting TSCC cell migration and epithelial–mesenchymal transition(EMT).Conversely,Claudin-1 knockdown reversed these inhibitory effects on migration and EMT caused by AMPK activation.Conclusions:Our results indicated that AMPK activation suppresses TSCC cell migration by targeting Claudin-1 and EMT pathways.

Lactiplantibacillus plantarum AR113 alleviates microbiota dysbiosis of tongue coating and cerebral ischemia/reperfusion injury in rat

Stroke is one of the leading causes of death and disability worldwide.However,information on stroke-related tongue coating microbiome(TCM)is limited,and whether TCM modulation could benefit for stroke prevention and rehabilitation is unknown.Here,TCM from stroke patients(SP)was characterized using molecular techniques.The occurrence of stroke resulted in TCM dysbiosis with significantly reduced species richness and diversity.The abundance of Prevotella,Leptotrichia,Actinomyces,Alloprevotella,Haemophilus,and TM7_[G-1]were greatly reduced,but common infection Streptococcus and Pseudomonas were remarkably increased.Furthermore,an antioxidative probiotic Lactiplantibacillus plantarum AR113 was used for TCM intervention in stroke rats with cerebral ischemia/reperfusion(I/R).AR113 partly restored I/R induced change of TCM and gut microbiota with significantly improved neurological deficit,relieved histopathologic change,increased activities of antioxidant enzymes,and decreased contents of oxidative stress biomarkers.Moreover,the gene expression of antioxidant-related proteins and apoptosis-related factors heme oxygenase-1(HO-1),superoxide dismutase(SOD),glutathione peroxidase(GSH-Px),nuclear factor erythroid 2-related factor 2(Nrf2),NAD(P)H:quinone oxidoreductase-1(NQO-1),and Bcl-2 was significantly increased,but cytochrome C,cleaved caspase-3,and Bax were markedly decreased in the brain by AR113 treatment.The results suggested that AR113 could ameliorate cerebral I/R injury through antioxidation and anti-apoptosis pathways,and AR113 intervention of TCM may have the application potential for stroke prevention and control.

Deep learning-based recognition of stained tongue coating images

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

Tongue image feature correlation analysis in benign lung nodules and lung cancer

Objective To analyze the differences in the correlation of tongue image indicators among patients with benign lung nodules and lung cancer.Methods From July 1;2020 to March 31;2022;clinical information of lung cancer patients and benign lung nodules patients was collected at the Oncology Department of Longhua Hos-pital Affiliated to Shanghai University of Traditional Chinese Medicine and the Physical Ex-amination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chi-nese Medicine;respectively.We obtained tongue images from patients with benign lung nod-ules and lung cancer using the TFDA-1 digital tongue diagnosis instrument;and analyzed these images with the TDAS V2.0 software.The extracted indicators included color space pa-rameters in the Lab system for both the tongue body(TB)and tongue coating(TC)(TB/TC-L;TB/TC-a;and TB/TC-b);textural parameters[TB/TC-contrast(CON);TB/TC-angular second moment(ASM);TB/TC-entropy(ENT);and TB/TC-MEAN];as well as TC parameters(perAll and perPart).The bivariate correlation of TB and TC features was analyzed using Pearson’s or Spearman’s correlation analysis;and the overall correlation was analyzed using canonical correlation analysis(CCA).Results Samples from 307 patients with benign lung nodules and 276 lung cancer patients were included after excluding outliers and extreme values.Simple correlation analysis indi-cated that the correlation of TB-L with TC-L;TB-b with TC-b;and TB-b with perAll in lung cancer group was higher than that in benign nodules group.Moreover;the correlation of TB-a with TC-a;TB-a with perAll;and the texture parameters of the TB(TB-CON;TB-ASM;TB-ENT;and TB-MEAN)with the texture parameters of the TC(TC-CON;TC-ASM;TC-ENT;and TC-MEAN)in benign nodules group was higher than lung cancer group.CCA further demon-strated a strong correlation between the TB and TC parameters in lung cancer group;with the first and second pairs of typical variables in benign nodules and lung cancer groups indicat-ing correlation coefficients of 0.918 and 0.817(P<0.05);and 0.940 and 0.822(P<0.05);re-spectively.Conclusion Benign lung nodules and lung cancer patients exhibited differences in correla-tion in the L;a;and b values of the TB and TC;as well as the perAll value of the TC;and the texture parameters(TB/TC-CON;TB/TC-ASM;TB/TC-ENT;and TB/TC-MEAN)between the TB and TC.Additionally;there were differences in the overall correlation of the TB and TC be-tween the two groups.Objective tongue diagnosis indicators can effectively assist in the diag-nosis of benign lung nodules and lung cancer;thereby providing a scientific basis for the ear-ly detection;diagnosis;and treatment of lung cancer.

Acute severe hypokalemia caused by treatment of tongue squamous cell carcinoma with docetaxel and cisplatin:A case report

BACKGROUND The tongue squamous cell carcinoma(TSCC)is an oral malignant tumor arising from the squamous epithelium of the tongue mucosa,characterized by a high malignant degree,invasive growth,early lymph node metastasis,and poor prognosis.Paclitaxel,represented by docetaxel,is now the standard first-line treatment for head and neck squamous cell carcinoma.Docetaxel,which belongs to the class of drugs known as paclitaxel,is an antitumor drug that inhibits cell mitosis and proliferation.Its adverse effects include myelosuppression,hair loss,gastrointestinal reactions,fluid retention,and allergic reactions.However,hypokalemia is rare,most cases are mild or moderate,and severe hypokalemia is seldom reported.symptoms of adverse effects early.It is necessary to be considerate regarding individual differences between patients when selecting chemotherapy regimens and adhere to the principle of individualized treatment.Following multiple cycles of chemotherapy,patients should be aware of the accumulation of toxic side effects and receive blood tests reviewed within 24 hours of completion.It is essential to monitor electrolyte levels in patients suffering from severe gastrointestinal reactions to avoid complications that may result in death.

Comparative study on the efficacy of transoral robotic surgery and non-robotic surgery for tongue base tumors

Objective:To compare the efficacy of transoral robotic surgery(TORS)and non-robotic surgery(NRS)in the treatment of tongue base tumors.Methods:A total of 45 patients with tongue base tumors treated in our hospital were selected,and they were divided into the TORS group and NRS group according to different surgical methods.The surgical indicators and postoperative complications of patients in the two groups were compared and analyzed.Results:Compared with the NRS group,the operative time,bleeding volume and length of hospital stay were less in the TORS group,and the postoperative recurrence rate was less in the TORS group than that in the NRS group.The incidence rate of dysphagia and restricted mouth opening in the TORS group was lower than that in the NRS group within 30 d after surgery,and the difference was statistically significant(P<0.05).Conclusion:TORS has better minimally invasive advantages in the treatment of tongue base tumors,including less intraoperative bleeding,smaller trauma,shorter length of hospital stay and faster recovery.

Current Research Status of MicroRNAs in Squamous Cell Carcinoma of the Tongue

Tongue squamous cell carcinoma (TSCC) is the most invasive type of oral malignant tumor, posing a serious threat to human life and health. Its pathogenesis is complex and has a high degree of malignancy. Recurrence and metastasis often lead to poor prognosis. MicroRNAs are a type of single stranded small molecule RNA with only 18 - 25 nucleotides, which can regulate the expression of various genes and participate in the occurrence and development of tumors. Studies have found that microRNA expression profiling can serve as a reliable and stable biological indicator for early diagnosis and prognosis of tumors. This article provides a review of the research status of MicroRNAs in squamous cell carcinoma of the tongue.

Development and validation of tongue imaging-based radiomics tool for the diagnosis of insomnia degree:a two-center study

Background:Traditional Chinese medicine(TCM)is commonly used for the diagnosis and treatment of insomnia,with tongue diagnosis being particularly important.The aim of our study was to develop and validate a novel tongue imaging-based radiomics(TIR)method for accurately diagnosing insomnia severity.Methods:This two-center analysis prospectively enrolled 399 patients who underwent tongue imaging between July and October 2021 and divided them into primary and validation cohorts by study center.Here,we referred to the Insomnia Severity Index(ISI)standard and the degree of insomnia was evaluated as absent,subthreshold,moderate,or severe.For developed the TIR diagnostic tool,a U-Net algorithm was used to segment tongue images.Subsequently,seven imaging features were selected from the extracted high-throughout radiomics features using the least absolute shrinkage and selection operator algorithm.Then,the final radiomics model was developed in the primary cohort and tested in the independent validation cohort.Finally,we assessed and compared the diagnostic performance differences between TCM tongue diagnosis and our TIR diagnostic tool with the ISI gold standard.The confusion matrix was calculated to evaluate the diagnostic performance.Results:Seven tongue imaging features were selected to build the TIR tool,with showing good correlations with the insomnia degree.The TIR method had an accuracy of 0.798,a macro-average sensitivity of 0.78,a macro-average specificity of 0.906,a weighted-average sensitivity of 0.798,and a weighted specificity of 0.916,showing a significantly better performance compared to the average performance of three experienced TCM physicians(mean accuracy of 0.458,P<0.01).Conclusions:The preliminary study demonstrates the potential application of TIR in the diagnosis of insomnia degree and measurement of sleep health.The integration of quantitative imaging analysis and machine learning algorithms holds promise for advancing both of TCM and precision sleep medicine.

Sternocleidomastoid flap for reconstruction of tongue small cell carcinoma: A case report

BACKGROUND The management of tongue carcinoma is excision and radical neck dissection followed with reconstruction.This is a case report of a patient with tongue squamous cell carcinoma(SCC)who underwent the procedure with sternocleidomastoid(SCM)flap reconstruction.CASE SUMMARY A 52-year-old woman without smoking history complained tongue ulcer since 3 years ago.Based on the histopathological examination,the patient was diagnosed with T2N2M0 right tongue SCC and underwent wide excision of tumor;right mandibular;neck dissection and were reconstructed with SCM flap.CONCLUSION SCC of the tongue requires wide excision and dissection of the neck and mandible if infiltration into the surrounding lymph nodes has been found.The SCM flap reconstruction could be used post-surgery.

A fishbone lodged in the tongue:a case report

Fishbones are relatively common foreign bodies found in the throat,with the tonsils and tongue base being frequent locations for them to lodge.However,foreign bodies within the tongue are clinically infrequent,and their displacement is intricately linked to the shape of the object,duration of lodgement,and the fiber orientation during tongue muscle movement.This article reports a case of a foreign body lodged in the tongue,treated at Xianning Central Hospital in April 2024.

Establishing and validating a spotted tongue recognition and extraction model based on multiscale convolutional neural network

Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligence(AI)to study the spotted tongue recognition of traditional Chinese medicine(TCM).Methods A model of spotted tongue recognition and extraction is designed,which is based on the principle of image deep learning and instance segmentation.This model includes multiscale feature map generation,region proposal searching,and target region recognition.Firstly,deep convolution network is used to build multiscale low-and high-abstraction feature maps after which,target candidate box generation algorithm and selection strategy are used to select high-quality target candidate regions.Finally,classification network is used for classifying target regions and calculating target region pixels.As a result,the region segmentation of spotted tongue is obtained.Under non-standard illumination conditions,various tongue images were taken by mobile phones,and experiments were conducted.Results The spotted tongue recognition achieved an area under curve(AUC)of 92.40%,an accuracy of 84.30%with a sensitivity of 88.20%,a specificity of 94.19%,a recall of 88.20%,a regional pixel accuracy index pixel accuracy(PA)of 73.00%,a mean pixel accuracy(m PA)of73.00%,an intersection over union(Io U)of 60.00%,and a mean intersection over union(mIo U)of 56.00%.Conclusion The results of the study verify that the model is suitable for the application of the TCM tongue diagnosis system.Spotted tongue recognition via multiscale convolutional neural network(CNN)would help to improve spot classification and the accurate extraction of pixels of spot area as well as provide a practical method for intelligent tongue diagnosis of TCM.

Tongue image segmentation and tongue color classification based on deep learning

Objective To propose two novel methods based on deep learning for computer-aided tongue diagnosis,including tongue image segmentation and tongue color classification,improving their diagnostic accuracy.Methods LabelMe was used to label the tongue mask and Snake model to optimize the labeling results.A new dataset was constructed for tongue image segmentation.Tongue color was marked to build a classified dataset for network training.In this research,the Inception+Atrous Spatial Pyramid Pooling(ASPP)+UNet(IAUNet)method was proposed for tongue image segmentation,based on the existing UNet,Inception,and atrous convolution.Moreover,the Tongue Color Classification Net(TCCNet)was constructed with reference to ResNet,Inception,and Triple-Loss.Several important measurement indexes were selected to evaluate and compare the effects of the novel and existing methods for tongue segmentation and tongue color classification.IAUNet was compared with existing mainstream methods such as UNet and DeepLabV3+for tongue segmentation.TCCNet for tongue color classification was compared with VGG16 and GoogLeNet.Results IAUNet can accurately segment the tongue from original images.The results showed that the Mean Intersection over Union(MIoU)of IAUNet reached 96.30%,and its Mean Pixel Accuracy(MPA),mean Average Precision(mAP),F1-Score,G-Score,and Area Under Curve(AUC)reached 97.86%,99.18%,96.71%,96.82%,and 99.71%,respectively,suggesting IAUNet produced better segmentation than other methods,with fewer parameters.Triplet-Loss was applied in the proposed TCCNet to separate different embedded colors.The experiment yielded ideal results,with F1-Score and mAP of the TCCNet reached 88.86% and 93.49%,respectively.Conclusion IAUNet based on deep learning for tongue segmentation is better than traditional ones.IAUNet can not only produce ideal tongue segmentation,but have better effects than those of PSPNet,SegNet,UNet,and DeepLabV3+,the traditional networks.As for tongue color classification,the proposed network,TCCNet,had better F1-Score and mAP values as compared with other neural networks such as VGG16 and GoogLeNet.

Application of artificial intelligence in tongue diagnosis of traditional Chinese medicine:A review

Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal organs.Due to continuing computer technological advances,especially the artificial intelligence(AI)methods have achieved significant success in tackling tongue image acquisition,processing,and classification,novel AI methods are being introduced in traditional Chinese medicine tongue diagnosis medical practices.Traditional tongue diagnose depends on observations of tongue characteristics,such as color,shape,texture,moisture,etc.by traditional Chinese medicine physicians.The appearance of the tongue color,texture and coating reflects the improvement or deterioration of patient’s conditions.Moreover,AI can now distinguish patient’s condition through tongue images,texture or coating,which is all possible increasingly with help from traditional Chinese medicine physicians under the traditional Chinese medicine tongue theory.AI has enabled humans to do what was previously unimagined:traditional Chinese medicine tongue diagnosis with feeding a large amount of tongue image and tongue texture/coating data to train the AI modes.This review focuses on the research advances of AI in TCM tongue diagnosis thus far to identify the major scientific methods and prospects.In this article,we tried to review the AI application in resolving the tongue diagnosis of traditional Chinese medicine on color correction,tongue image extraction,tongue texture/coating segmentation.

Advances in Tongue Diagnosis Objectification of Traditional Chinese Medicine

Tongue diagnosis is a non-invasive,efficient,and accurate method for determining a person’s physical condition,and plays an essential role in disease diagnosis and health management.However,tongue diagnosis is easily influenced by the subjective experience of the practitioner and the light environment.In addition,tongue diagnosis lacks clear quantitative indicators and objective records.This all limits the transmission and development of tongue diagnosis.Therefore,the acquisition and analysis of tongue information using image equipment,image processing and computer vision have become a hot research topic for the objectification of tongue diagnosis.This paper reviews the research progress of tongue diagnosis objectification in Traditional Chinese medicine.The tongue image acquisition,color correction,segmentation,feature extraction and analysis,and disease prediction included in the study of tongue diagnosis objectification are reviewed.The shortcomings of current automated tongue diagnosis systems and future research ideas are also summarized to provide a reference for further development of tongue diagnosis objectification.

人体词“舌”和“tongue”语义转移的认知构架

人体词"舌",对应英文词"tongue",在漫长的语言演变过程中,主要借助隐喻和转喻的作用,其语义均由原型义延伸变化,产生了如下义项:基于突显和邻近原则的"言语"、"性格"、"情感"转喻所指;基于形貌相似的"舌状物"隐喻所指;基于隐喻转喻互动的"实体"隐转喻所指。上述语义转移是一个以辐射型为主、连锁型为辅的综合型过程,其中"功能特征"是主要的词义取象源。数据统计表明"tongue"功能表达要多于"舌"。

Black hairy tongue syndrome

Black hairy tongue (BHT) is a benign medical condition characterized by elongated filiform lingual papillae with typical carpet-like appearance of the dorsum of the tongue. Its prevalence varies geographically, typically ranging from 0.6% to 11.3%. Known predisposing factors include smoking, excessive coffee/black tea consumption, poor oral hygiene, trigeminal neuralgia, general debilitation, xerostomia, and medication use. Clinical presentation varies but is typically asymptomatic, although aesthetic concerns are common. Differential diagnosis includes pseudo-BHT, acanthosis nigricans, oral hairy leukoplakia, pigmented fungiform papillae of the tongue, and congenital melanocytic/melanotic nevi/macules. Clinical diagnosis relies on visual observation, detailed history taking, and occasionally microscopic evaluation. Treatment involves identification and discontinuation of the offending agent, modifications of chronic predisposing factors, patient&#x02019;s re-assurance to the benign nature of the condition, and maintenance of adequate oral hygiene with gentle debridement to promote desquamation. Complications of BHT (burning mouth syndrome, halitosis, nausea, gagging, dysgeusia) typically respond to therapy. Prognosis is excellent with treatment of underlying medical conditions. BHT remains an important medical condition which may result in additional burden on the patient and health care system and requires appropriate prevention, recognition and treatment.

Onshore warm tongue and offshore cold tongue in the western Yellow Sea in winter:the evidence

A winter onshore warm tongue extending from the Yellow Sea Warm Current to the southern Jiangsu coast, and an of fshore cold tongue extending from the southern Jiangsu coast to the southwest of Jeju Island(South Korea), are newly identified based on the sea-surface temperature from satellite remote sensing, and further confirmed by the distribution of suspended sediments. In addition, there are two obvious thermal fronts associated with the onshore warm tongue and off shore cold tongue. The narrow gap between the two thermal fronts is supposed to be the pathway for the off shore transport of cold coastal water and suspended sediments. The concurrence of onshore warm and of fshore cold tongues suggests the concurrence of onshore and off shore currents in the western Yellow Sea in winter, which seems to be inconsistent with the previously accepted view that, in winter, the Yellow Sea Coastal Current flows from the Old Huanghe Delta to the southwest of Jeju Island. This distinctive phenomenon helps establish an updated view of the circulation in the western Yellow Sea in winter.

Application of Thermal Science to Tongue Inspection in Traditional Chinese Medicine

The study on Traditional Chinese Medicine (TCM)by the technology and method of thermal science is a new cut in point in interdisciplinary science, and its purpose is to study the tongue inspection in TCM from the view of the bio heat transfer theory. In this paper human tongues were studied with the infrared thermal imaging technology. And the characteristic relationship between temperature distribution and age, tongue color as well as infrared thermal tongue image concerning the characteristic of viscera was analyzed by the experimental data,which confirms that the change in temperature distribution in different positions of the tongue is related to the diseases of different internal organs of the body. From a series of invasive experiments in animals, the blood perfusion rate was measured with the equipment of CBI 8000 Doppler Blood Flow Meter and MP 100 Physiologic Research System for the first time and the characteristic relationship curve between the temperature on the surface of the tongue and the blood perfusion rate was obtained. From the experiments the temperature on the surface of the tongue reflects objectively the tongue color which is influenced by the blood perfusion rate. This will help to develop some new cognition in the theory of TCM.