Determination of natural turmeric dyes using near-infrared spectroscopy

被引:0
|
作者
Sun, Jieqing [1 ]
Zhang, Yuanyuan [1 ]
Zhang, Yuanming [1 ]
Zhao, Haiguang [1 ]
Han, Guangting [1 ]
Via, Brian K. [2 ]
Jiang, Wei [1 ]
机构
[1] Qingdao Univ, Coll Text & Clothing, State Key Lab Biofibers & Ecotext, Qingdao 266000, Shandong, Peoples R China
[2] Auburn Univ, Coll Forestry Wildlife & Environm, Auburn, AL 36849 USA
关键词
Natural dye; Curcuminoid compounds; Near-infrared; Quantitative analysis; CURCUMINOIDS; SPECTRA;
D O I
10.1016/j.indcrop.2024.119817
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Turmeric extracted from natural plants serves as a commonly natural dye but currently faces quality challenges due to the absence of standardization. Rapid determination of natural turmeric dye contents before the dyeing process is paramount. In this study, to determine the content of total and separate curcuminoid compounds, 155 samples of turmeric dyes were analyzed using both high-performance liquid chromatography and near-infrared technology. The near-infrared spectra within the range of 8000-5000 cm(-1) were selected, and after method optimization, the spectral preprocessing method of Savitzky-Golay smoothing (SG) + standard normal variate transformation (SNV) / multiplicative scatter correction (MSC) + first derivative (1st-Der) were used to construct the partial least squares (PLS) quantitative prediction models. Method validation results showed that the optimized model revealed exceptional prediction accuracy. In general, the total curcuminoid compounds quantitative prediction model demonstrated higher accuracy than that of the separate compounds, with R-2 > 0.99 and RPD > 10. In contrast, the separate curcuminoid compounds quantitative prediction model has R-2 > 0.97 and RPD > 6. Both models are suitable for turmeric dyes, and as fast and flexible detection methods, they are suitable for industrial production.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Evaluation of Carbohydrate Concentrations in Phalaenopsis Using Near-infrared Spectroscopy
    Chuang, Yung-Kun
    Yang, I-Chang
    Tsai, Chao-Yin
    Hou, Jiunn-Yan
    Chang, Yung-Huei
    Chen, Suming
    JOURNAL OF THE AMERICAN SOCIETY FOR HORTICULTURAL SCIENCE, 2018, 143 (06) : 494 - 502
  • [32] Unlocking the Secrets of Terminalia Kernels Using Near-Infrared Spectroscopy
    Bobasa, Eshetu
    Netzel, Michael
    Anh Dao Thi Phan
    Smyth, Heather
    Sultanbawa, Yasmina
    Cozzolino, Daniel
    APPLIED SPECTROSCOPY, 2021, 75 (07) : 834 - 838
  • [33] Fast compositional analysis of ramie using near-infrared spectroscopy
    Jiang, Wei
    Han, Guangting
    Zhang, Yuanming
    Wang, Mengmeng
    CARBOHYDRATE POLYMERS, 2010, 81 (04) : 937 - 941
  • [34] CLUSTER ANALYSIS OF CITRUS GENOTYPES USING NEAR-INFRARED SPECTROSCOPY
    Liao, Qiuhong
    Huang, Yanbo
    He, Shaolan
    Xie, Rangjin
    Lv, Qiang
    Yi, Shilai
    Zheng, Yongqiang
    Tian, Xi
    Deng, Lie
    Qian, Chun
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2013, 19 (03) : 347 - 359
  • [35] Detection of jaggery syrup in honey using near-infrared spectroscopy
    Mishra, Sunita
    Kamboj, Uma
    Kaur, Harpreet
    Kapur, Pawan
    INTERNATIONAL JOURNAL OF FOOD SCIENCES AND NUTRITION, 2010, 61 (03) : 306 - 315
  • [36] Characterization of connective tissues using near-infrared spectroscopy and imaging
    Afara, Isaac O.
    Shaikh, Rubina
    Nippolainen, Ervin
    Querido, William
    Torniainen, Jari
    Sarin, Jaakko K.
    Kandel, Shital
    Pleshko, Nancy
    Toyras, Juha
    NATURE PROTOCOLS, 2021, 16 (02) : 1297 - 1329
  • [37] Near-Infrared Spectroscopy in the Critical Setting
    Drayna, Patrick C.
    Abramo, Thomas J.
    Estrada, Cristina
    PEDIATRIC EMERGENCY CARE, 2011, 27 (05) : 432 - 439
  • [38] DEVELOPMENT OF A PORTABLE TISSUE OXIMETER USING NEAR-INFRARED SPECTROSCOPY
    SHIGA, T
    TANABE, K
    NAKASE, Y
    SHIDA, T
    CHANCE, B
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1995, 33 (04) : 622 - 626
  • [39] Rapid selection of Andrographis paniculata medicinal plant materials based on major bioactive using near-infrared spectroscopy
    Kasemsumran, Sumaporn
    Apiwatanapiwat, Waraporn
    Ngowsuwan, Krairuek
    Jungtheerapanich, Sunee
    CHEMICAL PAPERS, 2021, 75 (11) : 5633 - 5644
  • [40] Rapid Determination of Both Structural Polysaccharides and Soluble Sugars in Sorghum Biomass Using Near-Infrared Spectroscopy
    Feng Xu
    Ling Zhou
    Ke Zhang
    Jianming Yu
    Donghai Wang
    BioEnergy Research, 2015, 8 : 130 - 136