{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T10:05:06Z","timestamp":1772791506785,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,11,22]],"date-time":"2017-11-22T00:00:00Z","timestamp":1511308800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Near-infrared (NIR) spectroscopy was applied for the determination of total soluble solid contents (SSC) of single Ruby Seedless grape berries using both benchtop Fourier transform (VECTOR 22\/N) and portable grating scanning (SupNIR-1500) spectrometers in this study. The results showed that the best SSC prediction was obtained by VECTOR 22\/N in the range of 12,000 to 4000 cm\u22121 (833\u20132500 nm) for Ruby Seedless with determination coefficient of prediction (Rp2) of 0.918, root mean squares error of prediction (RMSEP) of 0.758% based on least squares support vector machine (LS-SVM). Calibration transfer was conducted on the same spectral range of two instruments (1000\u20131800 nm) based on the LS-SVM model. By conducting Kennard-Stone (KS) to divide sample sets, selecting the optimal number of standardization samples and applying Passing-Bablok regression to choose the optimal instrument as the master instrument, a modified calibration transfer method between two spectrometers was developed. When 45 samples were selected for the standardization set, the linear interpolation-piecewise direct standardization (linear interpolation-PDS) performed well for calibration transfer with Rp2 of 0.857 and RMSEP of 1.099% in the spectral region of 1000\u20131800 nm. And it was proved that re-calculating the standardization samples into master model could improve the performance of calibration transfer in this study. This work indicated that NIR could be used as a rapid and non-destructive method for SSC prediction, and provided a feasibility to solve the transfer difficulty between totally different NIR spectrometers.<\/jats:p>","DOI":"10.3390\/s17112693","type":"journal-article","created":{"date-parts":[[2017,11,22]],"date-time":"2017-11-22T10:47:38Z","timestamp":1511347658000},"page":"2693","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Comparison of Benchtop Fourier-Transform (FT) and Portable Grating Scanning Spectrometers for Determination of Total Soluble Solid Contents in Single Grape Berry (Vitis vinifera L.) and Calibration Transfer"],"prefix":"10.3390","volume":"17","author":[{"given":"Hui","family":"Xiao","sequence":"first","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangli","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Tu","sequence":"additional","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5587-3544","authenticated-orcid":false,"given":"Leiqing","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Food Science and Technology, Nanjing Agriculture University, Nanjing 21009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,22]]},"reference":[{"key":"ref_1","first-page":"2090","article-title":"Research on the sugar content measurement of grape and berries by using Vis\/NIR spectroscopy technique","volume":"28","author":"Wu","year":"2008","journal-title":"Spectrosc. 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