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Ze Wu, Peng Zhang, Wei Xiao, Qian Chen, Wangrun Lin, Peipei Chen, Kangwei Chen, Qiangqiang Fu, Zhijian Wang, Lei Zheng. Development of a Smartphone-Integrated Handheld Automated Biochemical Analyzer for Point-of-Care Testing of Urinary Albumin[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2024.101041
Citation: Ze Wu, Peng Zhang, Wei Xiao, Qian Chen, Wangrun Lin, Peipei Chen, Kangwei Chen, Qiangqiang Fu, Zhijian Wang, Lei Zheng. Development of a Smartphone-Integrated Handheld Automated Biochemical Analyzer for Point-of-Care Testing of Urinary Albumin[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2024.101041

Development of a Smartphone-Integrated Handheld Automated Biochemical Analyzer for Point-of-Care Testing of Urinary Albumin

doi: 10.1016/j.jpha.2024.101041
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This work funding by National Natural Science Foundation of China (82202625), Science and Technology Projects in Guangzhou (2060206), President Foundation of Nanfang Hospital, Southern Medical University (2021B012, 2021C050), National Science Fund for Distinguished Young Scholars (82025024) and Key project of the National Natural Science Foundation of China (82230080)

  • Received Date: Apr. 01, 2024
  • Accepted Date: Jul. 09, 2024
  • Rev Recd Date: Jun. 26, 2024
  • Available Online: Jul. 15, 2024
  • The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.
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