The Journal of Light Scattering, Volume. 36, Issue 1, 44(2024)

Non-destructive detection of soluble solid content based on visible-near infrared spectroscopy

WU Hongzhang, CAI Hongxing*, REN Yu, WANG Tingting, ZHOU Jianwei, LI Dongliang, and QU Guannan
Author Affiliations
  • [in Chinese]
  • show less
    References(21)

    [1] [1] Escribano S,Biasi W V, Lerud R, Slaughter D C, et al. Non-destructive prediction of soluble solids and dry matter content using NIR spectroscopy and its relationship with sensory quality in sweet cherries[J].Postharvest Biol Technol,2017,128:112-120.

    [2] [2] Xu X, Xu H, Xie L.Effect of measurement position on prediction of apple soluble solids content (SSC) by an on-line near-infrared (NIR) system[J].J Food Meas Charact, 2019,13:506-512.

    [3] [3] Jiang H, Jiang X,Ru Y, Chen Q, et al. Sweetness Detection and Grading of Peaches and Nectarines by Combining Short- and Long-Wave Fourier-Transform Near-Infrared Spectroscopy[J]. Anal Lett, 2020,54(7):1125-1144.

    [4] [4] Wei K, Ma C, Sun K, Liu Q, et al.Relationship between optical properties and soluble sugar contents of apple flesh during storage[J].Postharvest Biol Technol,2020,159:111021.

    [5] [5] Liu Y, Zhang Y, Jiang X, et al. Detection of the quality of juicy peach during storage by visible/near infrared spectroscopy[J]. Vib Spectrosc, 2020,111:103152.

    [6] [6] Yu J, Wang H, Sun X, et al. Parameter optimization in soluble solid content prediction of entire bunches of grape based on near infrared spectroscopic technique[J]. J Food Meas Charact, 2017,11:1676-1680.

    [7] [7] Rodrigo P, Jéssica S, Ricardo M, et al. Non-invasive setup for grape maturation classification using deep learning[J].J Science of Food Agr,2021,101(5):2042-2051.

    [9] [9] Arruda A, Campos F, Reis A.Determination of soluble solid content in market tomatoes using near-infrared spectroscopy[J].Food Control, 2021,26:108068.

    [10] [10] Maraphum K, Ounkaew A,Kasemsiri P. Wavelengths selection based on genetic algorithm (GA) and successive projections algorithms (SPA) combine with PLS regression for determination the soluble solids content in NamDokMai mangoes based on near infrared spectroscopy[J].Eng Technol Appl Sci, 2020,49(1):119-126.

    [11] [11] Ruggiero L, Amalfitano C, Divaio C. Use of near-infrared spectroscopy combined with chemometrics for authentication and traceability of intact lemon fruits[J].Food Chem, 2022,375:131822.

    [12] [12] Sheng G, Jian X.Design and test of portable comprehensive quality non-destructive detector for grape bunches based on spectrum[J]. Future Foods,2022,2(3):275-283.

    [13] [13] Pampuri A,Tugnolo A, Giovenzana V, et al.Application of a Cost-Effective Visible/Near Infrared Optical Prototype for the Measurement of Qualitative Parameters of Chardonnay Grapes[J]. Appl Sci, 2022,10(12):4853.

    [14] [14] Beghi R, Giovenzana V, Marai Simoneet al.Rapid monitoring of grape withering using visible near-infrared spectroscopy[J].J Science Food Agr, 2015,95(15):3144-3149.

    [15] [15] Schaare P N, Fraser D G.Comparison of reflectanceinteractance and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwifruit (Actinidia chinensis) [J]. Postharvest Biol Tec,2000, 20(2):175-184.

    [16] [16] Fu X, Ying Y, Lu H, et al. Comparison of diffuse reflectance and transmission mode of visible-near infrared spectroscopy for detecting brown heart of pear[J]. Journal of Food Engineering, 2007,83(3):317-323.

    [17] [17] Wang A, Hu D, Xie L. Comparison of detection modes in terms of the necessity of visible region (VIS) and influence of the peel on soluble solids content (SSC) determination of navel orange using VIS-SWNIR spectroscopy[J]. Journal of Food Engineering,2014,126:126-132.

    [18] [18] Wang Q, Tang Y, Duan Yi. Sugar Content Detection of Red Globe Grape Based on QGA-PLSR Method and Near-infrared Spectroscopy[J]. Advance Journal of Food Science and Technology,2016,11(4):344-349.

    [19] [19] Xia Z, Wu D, Nie P, et al. Non-invasive measurement of soluble solid content and pH in Kyoho grapes using a computer vision technique[J]. Analytical Methods, 2018,8(15):3242-3248.

    [20] [20] Xu S, Lu H, Ference Christopher. Visible/near Infrared Reflection Spectrometer and Electronic Nose Data Fusion as an Accuracy Improvement Method for Portable Total Soluble Solid Content Detection of Orange[J]. Applied Sciences, 2019,9(18):3761.

    [21] [21] Wu D, He Y, Nie P, et al. Hybrid variable selection in visible and near-infrared spectral analysis for non-invasive quality determination of grape juice[J].Analytica chimica acta, 2010,659(1-2):229-237.

    [22] [22] Kanchanomai C, Ohashi S, Naphrom D, et al. Non-destructive analysis of Japanese table grape qualities using near-infrared spectroscopy[J].Hortic Environ Biote,2020,61(4):725-733.

    Tools

    Get Citation

    Copy Citation Text

    WU Hongzhang, CAI Hongxing, REN Yu, WANG Tingting, ZHOU Jianwei, LI Dongliang, QU Guannan. Non-destructive detection of soluble solid content based on visible-near infrared spectroscopy[J]. The Journal of Light Scattering, 2024, 36(1): 44

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 27, 2023

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: Hongxing CAI (caihx@cust.edu.cn)

    DOI:10.13883/j.issn1004-5929.202401006

    Topics