The applications of laser-induced breakdown spectroscopy(LIBS) on classifying complex natural organics are relatively limited and their accuracy still requires improvement.In this work,to study the methods on classifi...The applications of laser-induced breakdown spectroscopy(LIBS) on classifying complex natural organics are relatively limited and their accuracy still requires improvement.In this work,to study the methods on classification of complex organics,three kinds of fresh leaves were measured by LIBS.100 spectra from 100 samples of each kind of leaves were measured and then they were divided into a training set and a test set in a ratio of 7:3.Two algorithms of chemometric methods including the partial least squares discriminant analysis(PLS-DA) and principal component analysis Mahalanobis distance(PCA-MD) were used to identify these leaves.By using 23 lines from 16 elements or molecules as input data,these two methods can both classify these three kinds of leaves successfully.The classification accuracies of training sets are both up to 100% by PCA-MD and PLS-DA.The classification accuracies of the test set are 93.3% by PCA-MD and 97.8% by PLS-DA.It means that PLS-DA is better than PCA-MD in classifying plant leaves.Because the components in PLS-DA process are more suitable for classification than those in PCA-MD process.We think that this work can provide a reference for plant traceability using LIBS.展开更多
OBJECTIVE:To study the features of the distribution and differentiation ofTraditional Chinese Medicine(TCM)syndromes in patients with diabetic peripheral neuropathy(DPN).METHODS:We collected clinical data on illness c...OBJECTIVE:To study the features of the distribution and differentiation ofTraditional Chinese Medicine(TCM)syndromes in patients with diabetic peripheral neuropathy(DPN).METHODS:We collected clinical data on illness course,age,fasting blood glucose,saccharogenic hemoglobin,TCM syndromes,tongue,and pulse of238 DPN patients.Differentiated main syndromes(Yin deficiency and exuberant heat,invasion of spleen by damp-heat,deficiency of both Qi and Yins,and deficiency of both Yin and Yang)and accompanying syndromes(blood stasis and phlegm-dampness)of diabetes were also recorded.The features of DPN syndromes were then analyzed.RESULTS:Among the four main syndromes of diabetes,deficiency of both Yin and Yang was the most common in the 238 DPN patients,of which89%-96%had blood stasis.CONCLUSION:The method of differentiating syndromes of diabetes can be applied to DPN patients.Deficiency of both Yin and Yang,often accompanied by blood stasis,is commonly seen.展开更多
基金supported by the Fundamental Research Funds for the Central Universities of Ministry of Education of China(No.JB190501)Science and Technology Innovation Team of Shaanxi Province(No.2019TD-002)National Natural Science Foundation of China(No.11774277)。
文摘The applications of laser-induced breakdown spectroscopy(LIBS) on classifying complex natural organics are relatively limited and their accuracy still requires improvement.In this work,to study the methods on classification of complex organics,three kinds of fresh leaves were measured by LIBS.100 spectra from 100 samples of each kind of leaves were measured and then they were divided into a training set and a test set in a ratio of 7:3.Two algorithms of chemometric methods including the partial least squares discriminant analysis(PLS-DA) and principal component analysis Mahalanobis distance(PCA-MD) were used to identify these leaves.By using 23 lines from 16 elements or molecules as input data,these two methods can both classify these three kinds of leaves successfully.The classification accuracies of training sets are both up to 100% by PCA-MD and PLS-DA.The classification accuracies of the test set are 93.3% by PCA-MD and 97.8% by PLS-DA.It means that PLS-DA is better than PCA-MD in classifying plant leaves.Because the components in PLS-DA process are more suitable for classification than those in PCA-MD process.We think that this work can provide a reference for plant traceability using LIBS.
基金Supported by the National Fund of Natural Sciences(No.81173445)
文摘OBJECTIVE:To study the features of the distribution and differentiation ofTraditional Chinese Medicine(TCM)syndromes in patients with diabetic peripheral neuropathy(DPN).METHODS:We collected clinical data on illness course,age,fasting blood glucose,saccharogenic hemoglobin,TCM syndromes,tongue,and pulse of238 DPN patients.Differentiated main syndromes(Yin deficiency and exuberant heat,invasion of spleen by damp-heat,deficiency of both Qi and Yins,and deficiency of both Yin and Yang)and accompanying syndromes(blood stasis and phlegm-dampness)of diabetes were also recorded.The features of DPN syndromes were then analyzed.RESULTS:Among the four main syndromes of diabetes,deficiency of both Yin and Yang was the most common in the 238 DPN patients,of which89%-96%had blood stasis.CONCLUSION:The method of differentiating syndromes of diabetes can be applied to DPN patients.Deficiency of both Yin and Yang,often accompanied by blood stasis,is commonly seen.