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International Eye Science ; (12): 1000-1003, 2021.
Article in Chinese | WPRIM | ID: wpr-876743

ABSTRACT

@#Hydroxychloroquine and chloroquine play more and more important roles in the treatment of rheumatism, skin diseases and autoimmune diseases. Irreversible macular diseases,retinopathy and even permanent blindness are common side effects of them. High dose per kilogram of body weight, duration of treatment, presence or absence of keratosis and renal or liver dysfunction are all related to this. Therefore, the examination of the two kinds of drug lesions is also relatively complicated. FAF and SD-OCT are required for wide field examination. For patients with complicated retinopathy, multifocal electroretinogram and the like are also required for diagnosis. The specific examination methods need to be determined by clinical ophthalmologists according to the patient's medication and preliminary examination.

2.
China Journal of Chinese Materia Medica ; (24): 1592-1597, 2021.
Article in Chinese | WPRIM | ID: wpr-879066

ABSTRACT

For the field detection problems of critical quality attribute(CQA) of moisture content in traditional Chinese medicine(TCM) manufacturing process, big brand TCM Tongren Niuhuang Qingxin Pills were used as the carrier, to establish a moisture content NIR field detection model with or without cellophane in real world production with use of near infrared(NIR) spectroscopy combined with stoichiometry. With the moisture content determined by drying method as reference value, the partial least square method(PLS) was used to analyze the correlation between the spectrum and the moisture reference value. Then the spectral pretreatment methods were screened and optimized to further improve the accuracy and stability of the model. The results showed that the best quantitative model was developed by the spectral data pretreatment of standard normal variate(SNV) with the latent variable factor number of 2 and 7 of Tongren Niuhuang Qingxin Pills with or without cellophane samples. The prediction coefficient of determination(R_(pre)~2) and standard deviation of prediction(RMSEP) of the model with cellophane samples were 0.765 7 and 0.157 2%; R_(pre)~2 and RMSEP of the model without cellophane samples were 0.772 2 and 0.207 8%. The NIR quantitative models of moisture content of Tongren Niuhuang Qingxin Pills with and without cellophane both showed good predictive performance to realize the rapid, accurate and non-destructive quantitative analysis of moisture content in such pills, and provide a method for the field quality control of the critical chemical attributes of moisture in the manufacturing of big brand TCM.


Subject(s)
Drugs, Chinese Herbal , Least-Squares Analysis , Medicine, Chinese Traditional , Spectroscopy, Near-Infrared
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