Digital Image Method Smartphone-Based for Furfural Determination in Sugarcane Spirits

被引:0
|
作者
Mathews de Oliveira Krambeck Franco
Willian Toito Suarez
Vagner Bezerra dos Santos
机构
[1] Universidade Federal de Viçosa–UFV,Departamento de Química, Centro de Ciências Exatas e Tecnologia
[2] Universidade Federal do Pará–UFPA,Faculdade de Química, Instituto de Ciências Exatas e Naturais
来源
Food Analytical Methods | 2017年 / 10卷
关键词
Furfural; Sugarcane spirits; Cachaça; Digital image; Smartphone; Spot test;
D O I
暂无
中图分类号
学科分类号
摘要
A novel, simple, and low-cost analytical procedure for in situ furfural determination in sugarcane spirit (cachaça) samples based on the combination of a colorimetric spot test and a digital image-based (DIB) method is proposed. Cachaça is the most consumed beverage in Brazil and the fourth in the world, and furfural is a contaminant that depreciates the quality and safety of this product. The proposed method is based on the reaction of furfural with aniline in acid medium, in which the colorimetric product was acquired using spot test; a digital image was captured with a smartphone camera. The digital images were decomposed by an RGB approach using a free software. The dynamic linear range to determine furfural was linear from 1.67 to 10.0 mg/100 mL (anhydrous ethanol; r = 0.998) with limits of detection and quantification of 0.34 and 1.15 mg/100 mL, respectively. The method was developed and applied for determination of furfural in unaged cachaça samples with satisfactory results. The recovery of furfural ranged from 85.7 to 106 %. The DIB method coupled to spot test is a viable and important alternative to determine some analytes such as furfural during the production of alcoholic beverages. In fact, the method is accurate, fast, and reproductive with a low waste generation (600 μL/spot test), being useful analytical tools for laboratory with limited financial resource and for green chemistry purposes.
引用
收藏
页码:508 / 515
页数:7
相关论文
共 50 条
  • [31] Development of an Environmentally Friendly Extraction Method Using Smartphone-Based Digital Images for the Determination of Total Sulfonamides in Meat Samples
    Maroubo, Lais A.
    Melchert, Wanessa R.
    JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2022, : 846 - 856
  • [32] An android smartphone-based digital image colorimeter for detecting acid fuchsine dye in aqueous solutions
    Khalid, Hawraz Sami
    Fakhre, Nabil Adil
    JOURNAL OF THE IRANIAN CHEMICAL SOCIETY, 2023, 20 (12) : 3043 - 3057
  • [33] An android smartphone-based digital image colorimeter for detecting acid fuchsine dye in aqueous solutions
    Hawraz Sami Khalid
    Nabil Adil Fakhre
    Journal of the Iranian Chemical Society, 2023, 20 : 3043 - 3057
  • [34] EXPLORING SMARTPHONE-BASED DIGITAL ENDPOINTS FOR RHEUMATIC CONDITIONS
    Araujo, R.
    Matias, P.
    Studenic, P.
    Valada, M.
    Graca, R.
    Nakhost Lotfi, N.
    Belo, D.
    Nunes, F.
    ANNALS OF THE RHEUMATIC DISEASES, 2023, 82 : 805 - 805
  • [35] Image acquisition with smartphone-based LED array microscope
    Koda, Kazuko
    Uenoyama, Shu
    Sugimoto, Ryo
    Maruyama, Ryoji
    Arimoto, Hidenobu
    Watanabe, Wataru
    BIOMEDICAL IMAGING AND SENSING CONFERENCE, 2018, 10711
  • [36] Smartphone-based digital phenotyping has promise as a method to detect mood changes in adolescents
    Van Meter, Anna
    Emedom-Nnamdi, Patrick
    Huang, Debbie
    Onnela, J. P.
    BIPOLAR DISORDERS, 2022, 24 : 41 - 41
  • [37] Smartphone-based Image Captioning for Visually and Hearing Impaired
    Makav, Burak
    Kilic, Volkan
    2019 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO 2019), 2019, : 950 - 953
  • [38] A Smartphone-Based Image Analysis Technique for Ballast Aggregates
    Zhang, Bin
    Lee, Seung Jae
    Qian, Yu
    Tutumluer, Erol
    Bhattacharya, Sumana
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2016: PROJECTS AND PRACTICES FOR PROSPERITY, 2016, : 623 - 630
  • [39] Smartphone-Based Method for Detecting Periodontal Disease
    Askarian, Behnam
    Tabei, Fatemehsadat
    Tipton, Grace Anne
    Chong, Jo Woon
    2019 IEEE HEALTHCARE INNOVATIONS AND POINT OF CARE TECHNOLOGIES (HI-POCT), 2019, : 53 - 55
  • [40] Digital Image Colorimetry Smartphone Determination of Acetaminophen
    James, Heather
    Honeychurch, Kevin C.
    JOURNAL OF CHEMICAL EDUCATION, 2023, 101 (01) : 187 - 196