2026-10-23T18:47:26Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/requestoai:gumushane-rdlopen.rawdatalibrary.net:gumushane/148412026-10-23T18:18:56Zopenairedrivercom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10171In situ monitoring of sugar content in breakfast cereals using a novel ft-nir spectrometerAykas, Didem PerenBall, ChristopherMenevseoglu, AhmedRodriguez-Saona, Luis E.Breakfast cerealFT-NIRHandheld sensorNutrition facts labelPLSRSugar contentThis research demonstrates simultaneous predictions of individual and total sugars in breakfast cereals using a novel, handheld near-infrared (NIR) spectroscopic sensor. This miniaturized, battery-operated unit based on Fourier Transform (FT)-NIR was used to collect spectra from both ground and intact breakfast cereal samples, followed by real-time wireless data transfer to a commercial tablet for chemometric processing. A total of 164 breakfast cereal samples (60 store-bought and 104 provided by a snack food company) were tested. Reference analysis for the individual (sucrose, glucose, and fructose) and total sugar contents used high-performance liquid chromatography (HPLC). Chemometric prediction models were generated using partial least square regression (PLSR) by combining the HPLC reference analysis data and FT-NIR spectra, and associated calibration models were externally validated through an independent data set. These multivariate models showed excellent correlation (Rpre ≥ 0.93) and low standard error of prediction (SEP ≤ 2.4 g/100 g) between the predicted and the measured sugar values. Analysis results from the FT-NIR data, confirmed by the reference techniques, showed that eight store-bought cereal samples out of 60 (13%) were not compliant with the total sugar content declaration. The results suggest that the FT-NIR prototype can provide reliable analysis for the snack food manufacturers for on-site analysis.Multidisciplinary Digital Publishing Institute (MDPI)2020Articlehttps://rdlopen.rawdatalibrary.net/r/gumushane/14841https://doi.org/10.3390/app102487742076-3417enApplied Sciences (Switzerland)info:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/14841