基于智能手机传感的烟草叶片淀粉光快速检测。

IF 3.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Reports Pub Date : 2025-02-25 DOI:10.1038/s41598-025-90569-0

Wenchen Li, Yunfei Sha, Junwei Xiong, Yumei Chen, Yaqiong Zhang, Jianhao Zhang, Lan Xu, Weiying Lu

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引用次数: 0

摘要

在低成本、即时、通用、高通量（LIGHt）智能手机比色法的框架下，建立了一种快速高效的烟草叶片中总淀粉蒽酮硫酸比色法检测方法。LIGHt智能手机比色法平均相对误差为5.74%，相对标准偏差（RSD）为2.58 ~ 4.31%，检出限为1.53µg/mL，平均回收率为95.72%。结果表明，LIGHt智能手机比色法在测定淀粉浓度方面的性能与常规可见分光光度法相当，验证了这种不需要特定仪器的新型比色法的可行性。该方法在植物叶片快速质量检测及其他食品和药品相关质量控制实践中具有可行性和应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

LIGHt-based rapid detection of starch in tobacco leaves by smartphone sensing.

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LIGHt-based rapid detection of starch in tobacco leaves by smartphone sensing.

A rapid and efficient detection method to detect the total starch in tobacco leaves using smartphone-based anthrone-sulfuric acid colorimetry is established under the framework of the low-cost, immediate, general-purpose, and high-throughput (LIGHt) smartphone-based colorimetry. The LIGHt smartphone colorimetry resulted average relative error of 5.74%, with a relative standard deviation (RSD) ranging from 2.58 to 4.31%, a detection limit of 1.53 µg/mL, and an average recovery rate of 95.72%. The results demonstrated that the LIGHt smartphone colorimetry perform comparably to the regular visible spectrophotometry in determining starch concentration, validating the feasibility of this novel colorimetric method, which requires no specific instruments. The LIGHt-based method indicated the feasibility and potential for application in the field of rapid quality detection of plant leaves and other food and medicinal-related quality control practices.

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来源期刊

Scientific Reports Natural Science Disciplines-

CiteScore

7.50

自引率

4.30%

发文量

19567

审稿时长

3.9 months

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