Coupled Gold Nanoparticles with Aptamers Colorimetry for Detection of Amoxicillin in Human Breast Milk Based on Image Preprocessing and BP-ANN

作者全名："Ye, Ziqian; Du, Jinglong; Li, Keyu; Zhang, Zhilun; Xiao, Peng; Yan, Taocui; Han, Baoru; Zuo, Guowei"

作者地址："[Ye, Ziqian; Li, Keyu; Zhang, Zhilun; Xiao, Peng; Zuo, Guowei] Chongqing Med Univ, Dept Lab Med, Key Lab Diagnost Med Designated, Chinese Minist Educ, Chongqing 400016, Peoples R China; [Du, Jinglong; Yan, Taocui; Han, Baoru] Chongqing Med Univ, Med Data Sci Acad, Coll Med Informat, Chongqing 400016, Peoples R China"

通信作者："Zuo, GW (通讯作者)，Chongqing Med Univ, Dept Lab Med, Key Lab Diagnost Med Designated, Chinese Minist Educ, Chongqing 400016, Peoples R China.; Han, BR (通讯作者)，Chongqing Med Univ, Med Data Sci Acad, Coll Med Informat, Chongqing 400016, Peoples R China."

来源：FOODS

ESI学科分类：AGRICULTURAL SCIENCES

WOS号：WOS:000901044500001

JCR分区：Q1

影响因子：5.2

年份：2022

卷号：11

期号：24

开始页：　

结束页：　

文献类型：Article

关键词：breast milk; amoxicillin; colorimetric methods; image preprocessing; back propagation-artificial neural network

摘要："Antibiotic residues in breast milk can have an impact on the intestinal flora and health of babies. Amoxicillin, as one of the most used antibiotics, affects the abundance of some intestinal bacteria. In this study, we developed a convenient and rapid process that used a combination of colorimetric methods and artificial intelligence image preprocessing, and back propagation-artificial neural network (BP-ANN) analysis to detect amoxicillin in breast milk. The colorimetric method derived from the reaction of gold nanoparticles (AuNPs) was coupled to aptamers (ssDNA) with different concentrations of amoxicillin to produce different color results. The color image was captured by a portable image acquisition device, and image preprocessing was implemented in three steps: segmentation, filtering, and cropping. We decided on a range of detection from 0 mu M to 3.9 mu M based on the physiological concentration of amoxicillin in breast milk and the detection effect. The segmentation and filtering steps were conducted by Hough circle detection and Gaussian filtering, respectively. The segmented results were analyzed by linear regression and BP-ANN, and good linear correlations between the colorimetric image value and concentration of target amoxicillin were obtained. The R2 and MSE of the training set were 0.9551 and 0.0696, respectively, and those of the test set were 0.9276 and 0.1142, respectively. In prepared breast milk sample detection, the recoveries were 111.00%, 98.00%, and 100.20%, and RSDs were 6.42%, 4.27%, and 1.11%. The result suggests that the colorimetric process combined with artificial intelligence image preprocessing and BP-ANN provides an accurate, rapid, and convenient way to achieve the detection of amoxicillin in breast milk."

基金机构：Intelligent Medical Project of Chong-qing Medical University; Intelligent Medical Project of Chongqing Medical University; Special project of intelligent medicine for Postgraduates of Chongqing Medical University; [ZHYX202206]; [ZHYXQNRC202101]; [YJSZHYX202115]

基金资助正文：Baoru Han has received a research grant from the Intelligent Medical Project of Chong-qing Medical University (No. ZHYX202206). Jinglong Du has received a research grant from the Intelligent Medical Project of Chongqing Medical University (No. ZHYXQNRC202101). Zhilun Zhang has received a research grant from the Special project of intelligent medicine for Postgraduates of Chongqing Medical University (No. YJSZHYX202115).