Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis

NK Mahanti, R Pandiselvam, A Kothakota… - Trends in Food Science …, 2022 - Elsevier
Background Fruits are vulnerable to mechanical damages and physiological disorders
caused by the static and dynamic forces acting on them during transportation and abiotic …

Enhancing traceability of wheat quality through the supply chain

M Nadimi, E Hawley, J Liu, K Hildebrand… - … Reviews in Food …, 2023 - Wiley Online Library
With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …

Prediction of wheat flours composition using fourier transform infrared spectrometry (FT-IR)

CM Golea, GG Codină, M Oroian - Food Control, 2023 - Elsevier
Physicochemical characteristics of seventy wheat flours of different species namely Einkorn
(Triticum monococcum), Spelt (Triticum spelta) and common wheat (Triticum aestivum) were …

[HTML][HTML] In silico NIR spectroscopy–A review. Molecular fingerprint, interpretation of calibration models, understanding of matrix effects and instrumental difference

KB Beć, J Grabska, CW Huck - Spectrochimica Acta Part A: Molecular and …, 2022 - Elsevier
Quantum mechanical calculations are routinely used as a major support in mid-infrared
(MIR) and Raman spectroscopy. In contrast, practical limitations for long time formed a …

Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years

H Xuesong, C Pu, L Jingyan, X Yupeng… - Applied Spectroscopy …, 2024 - Taylor & Francis
In recent years, spectral analysis methods have developed rapidly. A key feature is the use
of chemometric methods to process spectral data for performing qualitative and quantitative …

[HTML][HTML] Spectra-structure correlations in NIR region of polymers from quantum chemical calculations. The cases of aromatic ring, C= O, C≡ N and C-Cl functionalities

KB Beć, J Grabska, J Badzoka, CW Huck - Spectrochimica Acta Part A …, 2021 - Elsevier
Near-infrared (NIR) spectroscopy is a valued analytical tool in various applications involving
polymers. However, complex nature of NIR spectra imposes difficulties in their direct …

A review of the emerging technologies and systems to mitigate food fraud in supply chains

I Fernando, J Fei, S Cahoon… - Critical Reviews in Food …, 2024 - Taylor & Francis
Food fraud has serious consequences including reputational damage to businesses, health
and safety risks and lack of consumer confidence. New technologies targeted at ensuring …

[HTML][HTML] Navigating the complexity: Managing multivariate error and uncertainties in spectroscopic data modelling

B Giussani, G Gorla, J Ezenarro, J Riu… - TrAC Trends in Analytical …, 2024 - Elsevier
Spectroscopy and chemometrics, supported by computer science, have yielded promising
outcomes, as evidenced by trends observed in literature searches. However, while …

Fusion of convolutional neural network with XGBoost feature extraction for predicting multi-constituents in corn using near infrared spectroscopy

X Zou, Q Wang, Y Chen, J Wang, S Xu, Z Zhu, C Yan… - Food Chemistry, 2025 - Elsevier
Near-infrared (NIR) spectroscopy has been widely utilized to predict multi-constituents of
corn in agriculture. However, directly extracting constituent information from the NIR spectra …

[HTML][HTML] Prediction of pea composites physicochemical traits and techno-functionalities using FTIR spectroscopy

MHR Bhuiyan, L Liu, A Samaranayaka, M Ngadi - LWT, 2024 - Elsevier
This study aimed to test the feasibility of applying FTIR spectroscopy in order to create
models that can predict quality attributes of pea composites. FTIR spectroscopy data were …