2022
DOI: 10.1016/j.lwt.2022.113876
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Quantitative determination of quality control parameters using near infrared spectroscopy and chemometrics in process monitoring of tapioca sweetener production

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Cited by 6 publications
(3 citation statements)
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“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. 157–166…”
Section: Quantitative Methods For Monitoring Photopolymerization Reac...mentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. 157–166…”
Section: Quantitative Methods For Monitoring Photopolymerization Reac...mentioning
confidence: 99%
“…In addition, when testing thin films, the molecular absorption coefficients in near-infrared are quite small, requiring a larger sample volume to obtain an unintended signal. [157][158][159][160][161][162][163][164][165][166] The basic analysis of the reflectivity suitability of NIR spectroscopy for on-line monitoring of the conversion rate of very thin, both transparent and pigment-containing, acrylate coatings on various substrates (i.e., PP film, paper, wood, MDF) was performed by Scherzer et al 30,167,168,311 This technique can be successfully used to monitor the conversion of double acrylate bonds in thin layers around a few μm under UV exposure, both on a laboratory scale and on a semi-technical coating line. [169][170][171] In addition, a very good linear correlation has been found between the results of the NIR technique and those of the FTIR spectroscopy and the HPLC technique for the determination of monomer conversions, although chromatographic methods show higher conversion values than spectroscopic methods.…”
Section: Near-infrared Spectroscopymentioning
confidence: 99%
“…demonstrated its potential for classifying and quantifying the extent of adulteration in honey samples. In a previous study, we demonstrated that NIR spectroscopy, in combination with the partial least squares regression (PLSR) technique, can quantify the main quality control parameters of tapioca sweetener products but cannot distinguish between different types of syrup products 15 . In addition, the syrup industry requires a systematic approach, starting with the quick and efficient identification of syrup product types to ensure that syrup products meet the required standards and industry specifications.…”
Section: Introductionmentioning
confidence: 99%