A Smartphone-Enabled Colorimetric Microneedle Sensing Platform for Rapid Detection of Ascorbic Acid in Fruits

被引:1
|
作者
Li, Rui [1 ]
Liu, Zhiqing [2 ,3 ]
Xiong, Youpeng [1 ]
Zhang, Xianghan [4 ]
Chen, Long [1 ]
Li, Danya [1 ]
Huang, Chao [1 ]
Yu, Shui [1 ]
Jia, Xin [1 ]
机构
[1] Shihezi Univ, Sch Chem & Chem Engn, State Key Lab Incubat Base Green Proc Chem Engn, Shihezi 832003, Peoples R China
[2] Xinjiang Univ, Key Lab Oil & Gas Fine Chem, Minist Educ, Urumqi 830046, Peoples R China
[3] Xinjiang Univ, Sch Chem Engn & Technol, Xinjiang Uygur Autonomous Reg, Urumqi 830046, Peoples R China
[4] Shihezi Univ, Coll Mech & Elect Engn, Shihezi 832003, Peoples R China
基金
中国国家自然科学基金;
关键词
colorimetric; microneedle; rapid detection; ascorbic acid; smartphone application; VITAMIN-C; NANOMATERIALS; CARBON; PLANTS;
D O I
10.1021/acsami.4c15637
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Achieving rapid extraction and detection of analytical solutions from plant tissues to circumvent cumbersome procedures and reduce the dependence on detection instruments remains a challenge. Herein, a colorimetric microneedle integrated platform was developed for the rapid extraction and detection of plant fluids for testing purposes. Colorimetric microneedle patches (CMPs) offer a swift and effective method to swiftly extract and detect ascorbic acid (AA) within 10 min from various fruit crops like mango, nectarine, apple, pear, and kiwifruit, facilitated by a smartphone application. CMPs are constructed for the rapid and sensitive analysis of AA with good linearity amid the range 0.05-25 mu M and a low limit of detection of 30 nM. The novel CMPs demonstrate significant potential as a rapid detection platform for AA in plants. CMPs offer significant advantages over traditional ultraviolet spectrophotometry, such as simplified operational procedures and accelerated extraction and detection processes. This establishes robust groundwork for conducting in situ extraction and molecular detection of diverse crops across a spectrum of application scenarios.
引用
收藏
页码:63941 / 63950
页数:10
相关论文
共 50 条
  • [41] Smartphone-enabled composite of cellulose nanocrystals for rapid and selective mercury detection in cosmetics and water: insights from density functional theory studies
    Subaihi, Abdu
    Alharbi, Ahmed
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2024,
  • [42] A colorimetric platform using highly active Prussian blue composite nanocubes for the rapid determination of ascorbic acid and acid phosphatase
    Liu, Lu
    Liu, Guang
    Lv, Yi
    Mu, Xiaomei
    Zhao, Shulin
    Tian, Jianniao
    MICROCHIMICA ACTA, 2024, 191 (11)
  • [43] Rapid and portable quantification of HIV RNA via a smartphone-enabled digital CRISPR device and deep learning
    Ngo, Hoan T.
    Akarapipad, Patarajarin
    Lee, Pei-Wei
    Park, Joon Soo
    Chen, Fan-En
    Trick, Alexander Y.
    Wang, Tza-Huei
    Hsieh, Kuangwen
    SENSORS AND ACTUATORS REPORTS, 2024, 8
  • [44] Transdermal Polymeric Microneedle Sensing Platform for Fentanyl Detection in Biofluid
    Joshi, Pratik
    Riley, Parand R.
    Mishra, Rupesh
    Machekposhti, Sina Azizi
    Narayan, Roger
    BIOSENSORS-BASEL, 2022, 12 (04):
  • [45] Smartphone-enabled mesoporous silica nanotube chemosensors for quick and selective mercury detection in water and cosmetics
    Almahri, Albandary
    El-Metwaly, Nashwa M.
    ARABIAN JOURNAL OF CHEMISTRY, 2024, 17 (10)
  • [46] A Smartphone-Enabled Imaging Device for Chromotropic Acid-Based Measurement of Nitrate in Soil Samples
    Lavanya, Veerabhadrappa
    Nayak, Anshuman
    Roy, Partha Deb
    Dasgupta, Shubhadip
    Dey, Subhadip
    Li, Bin
    Weindorf, David C.
    Chakraborty, Somsubhra
    SENSORS, 2023, 23 (17)
  • [47] Machine learning enabled microneedle-based colorimetric pH sensing patch for wound health monitoring and meat spoilage detection
    Kadian, Sachin
    Kumari, Pratima
    Sahoo, Siba Sundar
    Shukla, Shubhangi
    Narayan, Roger J.
    MICROCHEMICAL JOURNAL, 2024, 200
  • [48] Colorimetry/Smartphone Dual-Mode Sensing Platform Based on Nanorod-Shaped Ni-Fe MOFs for Ascorbic Acid Detection
    Liu, Aixiang
    Song, Weifang
    Zhang, Chao
    Shang, Hongyuan
    ACS APPLIED NANO MATERIALS, 2024, 7 (11) : 13400 - 13406
  • [49] Integration of a Smartphone Application with a μPAD for Rapid Colorimetric Detection of Glucose
    Golcez, Tansu
    Kilic, Volkan
    Sen, Mustafa Comma
    2019 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2019, : 441 - 444
  • [50] A portable smartphone sensing platform for simple, rapid, and visual detection of SO2 in food
    Xue, Baoli
    Yue, Chenyang
    Tan, Hongxia
    Du, Fangkai
    Jiang, Lirong
    Zeng, Lintao
    FOOD CONTROL, 2025, 172