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
  • [31] Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation
    Carra, Jessica Bassetto
    Fabris, Marcieli
    Dieckow, Jeferson
    Brito, Osmar Rodrigues
    Siqueira Vendrame, Pedro Rodolfo
    Dos Santos Tonial, Larissa Macedo
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2019, 50 (04) : 421 - 434
  • [32] Non-destructive continuous measurement of sucrose content in sugar beet using near-infrared spectroscopy
    Komiyama, Seiichi
    Honda, Hiroyuki
    Iketani, Satoru
    Abe, Tamayo
    Nakamichi, Koji
    Sasaki, Makoto
    Takeuchi, Kaoru
    JOURNAL OF THE JAPANESE SOCIETY FOR FOOD SCIENCE AND TECHNOLOGY-NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI, 2023, 70 (05): : 187 - 194
  • [33] Non-destructive assessment of highbush blueberry fruit maturity parameters and anthocyanins by using a visible/near infrared (vis/NIR) spectroscopy device: A preliminary approach
    Ribera-Fonseca, A.
    Noferini, M.
    Rombola, A. D.
    JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2016, 16 (01): : 174 - 186
  • [34] Non-destructive quality measurements of apples by means of NIR-spectroscopy
    Peirs, A
    Lammertyn, J
    Nicolaï, B
    De Baerdemaeker, J
    PROCEEDINGS OF THE XXV INTERNATIONAL HORTICULTURAL CONGRESS, PT 7, 2000, (517): : 435 - 440
  • [35] Non-destructive evaluation of soluble solid content in fruits with various skin thicknesses using visible-shortwave near-infrared spectroscopy
    Pratiwi, Evia Zunita D.
    Pahlawan, Muhammad F. R.
    Rahmi, Diah N.
    Amanah, Hanim Z.
    Masithoh, Rudiati E.
    OPEN AGRICULTURE, 2023, 8 (01):
  • [36] Non-destructive methods for mango ripening prediction: Visible and near-infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV)
    O'Brien, C.
    Falagan, N.
    Kourmpetli, S.
    Landahl, S.
    Terry, L. A.
    Alamar, M. C.
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2024, 212
  • [37] Non-destructive determination of carbohydrate reserves in leaves of ornamental cuttings by near-infrared spectroscopy (NIRS) as a key indicator for quality assessments
    Lohr, Dieter
    Tillmann, Peter
    Druege, Uwe
    Zerche, Siegfried
    Rath, Thomas
    Meinken, Elke
    BIOSYSTEMS ENGINEERING, 2017, 158 : 51 - 63
  • [38] Rapid and non-destructive analysis for the identification of multi-grain rice seeds with near-infrared spectroscopy
    Chen, Jiemei
    Li, Mingliang
    Pan, Tao
    Pang, Liwen
    Yao, Lijun
    Zhang, Jing
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 219 : 179 - 185
  • [39] Non-destructive and rapid analysis of chemical compositions in Thai steamed pork sausages by near-infrared spectroscopy
    Ritthiruangdej, Pitiporn
    Ritthiron, Ronnarit
    Shinzawa, Hideyuki
    Ozaki, Yukihiro
    FOOD CHEMISTRY, 2011, 129 (02) : 684 - 692
  • [40] Non-destructive predictions of sugar contents in litchis based on near-infrared spectroscopy and stochastic configuration network
    Hu, Shiqi
    Hong, Weijie
    Xie, Junjie
    Zhou, Hengrui
    Wang, Le
    Zhou, Hongbiao
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2024, 18 (09) : 8063 - 8077