Sha Yunfei, Chen Yumei, Li Wenchen, Zhang Jianhao, Wang Jiale, Fei Ting, Wu Da, Lu Weiying
Key Laboratory of Cigarette Smoke, Technology Center of Shanghai Tobacco Group Co. Ltd, Shanghai, 200082, China.
Institute of Food and Nutraceutical Science, Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Heliyon. 2024 Aug 2;10(15):e35596. doi: 10.1016/j.heliyon.2024.e35596. eCollection 2024 Aug 15.
An efficient and rapid method for the detection of total soluble protein in tobacco leaves, utilizing a smartphone-based colorimetric approach has been developed. The proposed low-cost, immediate, general-purpose, and high-throughput (LIGHt) smartphone colorimetric screening assay integrates commercially available microplates, enabling on-site, high-throughput screening of tobacco leaf quality. The study involves preparing protein standard solutions and constructing standard curves using both spectrophotometric and smartphone-based methods. The LIGHt smartphone colorimetry yielded an average relative standard deviation of 10.6 %, a limit of detection of 2 μg/mL, and an average recovery of 93 %. The results demonstrated a comparable performance between intensities from the blue channel and the absorbance values in reflecting protein concentrations, validating the feasibility of utilizing smartphone colorimetry for protein concentration determination. Our approach demonstrates the potential for practical implementation in the field, providing a cost-effective and user-friendly solution for rapid quality assessment in the tobacco industry. The LIGHt smartphone colorimetry enhances quality control practices in the tobacco sector and offers a promising tool for on-site production quality testing in various industries, such as fruits and vegetables.
已开发出一种利用基于智能手机的比色法高效快速检测烟草叶片中总可溶性蛋白的方法。所提出的低成本、即时、通用且高通量（LIGHt）智能手机比色筛选测定法集成了商用微孔板，能够对烟草叶片质量进行现场高通量筛选。该研究包括制备蛋白质标准溶液，并使用分光光度法和基于智能手机的方法构建标准曲线。LIGHt智能手机比色法的平均相对标准偏差为10.6%，检测限为2μg/mL，平均回收率为93%。结果表明，蓝色通道的强度与吸光度值在反映蛋白质浓度方面具有可比的性能，验证了利用智能手机比色法测定蛋白质浓度的可行性。我们的方法展示了在该领域实际应用的潜力，为烟草行业的快速质量评估提供了一种经济高效且用户友好的解决方案。LIGHt智能手机比色法加强了烟草行业的质量控制实践，并为水果和蔬菜等各行业的现场生产质量检测提供了一个有前景的工具。
