This paper is a follow-up study of 329 children in factory-run nurseries in urban Shanghai. The investigation lasted for a period of one year for each index-child, focusing on the conditions of nutrition, development and diseases of the children of various ages.Comparison between nutritionl findings and RDA of China disclosed that calorie intake of most of the index-child groups were 80-85% of RDA, the only exception being the 6-12 months group where the average calorie intake showed 90%. Protein intake of all groups was over 80% of RDA. Fe intake was lower than RDA, except for 18-month-old and over.Weight and height of the children were compared with the anthropo-metric data established in 1985 (1985 data) for Shanghai children under six years of age. It was found that the average weight and height appeared differently according to their age. Average weight of children under one year old was slightly higher than 1985 data, while average height was lower than 1985 data once the children reached 10 months old. Average weight, however, became lower than the 1985 data after the children were two years old. Over 60% of the index between 6-18 months old suffered from anemia (IDA).Accordingly, it is requested that calorie and iron intake should be supplemented.

Objective To establish the rapid identification method of Hedysari Radix wild and cultivated products by integrating the identification characteristics of TCM traits obtained by intelligent senses such as electronic nose and colorimeter based on the multivariate statistical analysis method;To provide new ideas and methods for the formulation of commodity specification standards and the application research of market quality control for Hedysari Radix.Methods Totally 29 batches of samples of Hedysari Radix were detected based on colorimeter and electronic nose technology to obtain their sensory information,and the effective components of Hedysari Radix were determined by high performance liquid chromatography(HPLC)and other methods for joint analysis.After establishing the optimal experimental conditions of Hedysari Radix electronic nose,multivariate statistical analysis methods,such as principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and clustering analysis,were used to establish the identification model of Hedysari Radix wild and cultivated commodities.Results The optimum test conditions of Hedysari Radix electronic nose(particle size of 65 mesh):the sample weight was 2.0 g,the optimum temperature of the sample was 50℃,and the time was 25 min.A single intelligent sensory result could not quickly and accurately identify the two,but the fusion information could quickly identify the wild and cultivated commodities of Hedysari Radix,and the chemical composition had a certain correlation with the color and taste.Conclusion Electronic nose and colorimeter can quickly and accurately distinguish wild and cultivated Hedysari Radix after multivariate statistical analysis,which is simple and feasible.The combined analysis of its related properties and active components can be used for the quality evaluation of Hedysari Radix.