Non-destructive method to predict Barhi dates quality at different stages of maturity utilising near-infrared (NIR) spectroscopy

被引:25
|
作者
Alhamdan, Abdullah M. [1 ]
Atia, Ahmed [1 ]
机构
[1] King Saud Univ, Dept Agr Engn, CDIT, Riyadh, Saudi Arabia
关键词
Near-infrared (NIR); Non-destructive; Barhi fruits; Dates; Maturation; SOLUBLE SOLIDS CONTENT; APPLE FRUIT; REFLECTANCE SPECTROSCOPY; HYPERSPECTRAL IMAGES; DIFFUSE-REFLECTANCE; INTERNAL QUALITY; SUGAR CONTENT; FIRMNESS; SPECTROMETRY; CALIBRATION;
D O I
10.1080/10942912.2017.1387794
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Barhi dates cultivar (Phoenix dactylifera L.) at Khalal stage of maturity was characterised by its sweetness, crunchiness, and bright yellow colour. Non-destructive and quick tools are necessary to evaluate fruit quality during post-harvest operations. Near-infrared (NIR) spectroscopy is an effective method to detect quality parameters for several fruits. In this study, NIR was utilised to correlate quality parameters (total soluble solids, moisture content, and b* colour) at five stages of maturity (from Khalal (green, to yellow), and Rutab (brown) with spectrum analysis. Barhi quality parameters were found to correlate well using NIR with a high coefficient of determination (R-2) 0.97 for TSS; 0.94 for MC; and fair of 0.64 for b* colour. It can be concluded that NIR is an effective non-destructive tool to predict fruit quality of Barhi at different stages of maturity during various %post-harvest operations.
引用
收藏
页码:S2950 / S2959
页数:10
相关论文
共 50 条
  • [41] Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy
    Zhang, Jing
    Li, Mingliang
    Pan, Tao
    Yao, Lijun
    Chen, Jiemei
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 164
  • [42] Non-Destructive Quality Evaluation of 80 Tomato Varieties Using Vis-NIR Spectroscopy
    Duckena, Lilija
    Alksnis, Reinis
    Erdberga, Ieva
    Alsina, Ina
    Dubova, Laila
    Duma, Mara
    FOODS, 2023, 12 (10)
  • [43] Non-destructive evaluation of the gonad weight and index of Japanese sea urchins using near-infrared spectroscopy
    Kimura, Yuki
    Kimiya, Takashi
    Yoshida, Shuhe
    Ito, Mizuki
    Hoshina, Yuchie
    Nishikawa, Masazumi
    JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI, 2023, 70 (10): : 495 - 503
  • [44] The Non-destructive Method to Determine Soluble Solids Content in BW Orange Fruit Using Near Infrared Spectroscopy
    Suhandy, Diding
    AGRITECH, 2010, 30 (01): : 32 - +
  • [45] Model development for non-destructive determination of rind biochemical properties of 'Marsh' grapefruit using visible to near-infrared spectroscopy and chemometrics
    Olarewaju, Olaoluwa Omoniyi
    Magwaza, Lembe Samukelo
    Nieuwoudt, Helene
    Poblete-Echeverria, Carlos
    Fawole, Olaniyi Amos
    Tesfay, Samson Zeray
    Opara, Umezuruike Linus
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 209 : 62 - 69
  • [46] Comparative Analysis of Non-Destructive Prediction Model of Soluble Solids Content for Malus micromalus Makino Based on Near-Infrared Spectroscopy
    Gao, Qiang
    Wang, Meili
    Guo, Yangyang
    Zhao, Xiaoqiang
    He, Dongjian
    IEEE ACCESS, 2019, 7 : 128064 - 128075
  • [47] Non-destructive prediction of soluble solid contents in Fuji apples using visible near-infrared spectroscopy and various statistical methods
    Lee, Ahyeong
    Shim, Jaeseung
    Kim, Balgeum
    Lee, Hoyoung
    Lim, Jongguk
    JOURNAL OF FOOD ENGINEERING, 2022, 321
  • [48] Non-destructive prediction of hardening pericarp disorder in intact mangosteen by near infrared transmittance spectroscopy
    Teerachaichayut, Sontisuk
    Terdwongworakul, Anupun
    Thanapase, Warunee
    Kiji, Kazuaki
    JOURNAL OF FOOD ENGINEERING, 2011, 106 (03) : 206 - 211
  • [49] Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy
    Jha, Shyam Narayan
    Jaiswal, Pranita
    Narsaiah, K.
    Gupta, Mansha
    Bhardwaj, Rishi
    Singh, Ashish Kumar
    SCIENTIA HORTICULTURAE, 2012, 138 : 171 - 175
  • [50] Rapid and non-destructive discrimination of special-grade flat green tea using Near-infrared spectroscopy
    Li, Chunlin
    Guo, Haowei
    Zong, Bangzheng
    He, Puming
    Fan, Fangyuan
    Gong, Shuying
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 206 : 254 - 262