Critical Reviews in Food Science and Nutrition, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21
Published: July 27, 2024
Food fraud, a pervasive issue in the global food industry, poses significant challenges to consumer health, trust, and economic stability, costing an estimated $10–15 billion annually. Therefore, there is rising demand for developing portable miniature sensors that facilitate authentication throughout supply chain. This review explores recent advancements applications of sensors, including portable/miniature near-infrared (NIR) spectroscopy, e-nose colorimetric based on nanozyme within After briefly presenting architecture mechanism, this discusses application these authentication, addressing opportunities integrating deploying ensure authenticity. reveals enhanced utility NIR e-nose, nanozyme-based ensuring authenticity enabling informed decision-making
Language: Английский
Citations
5Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring
Advances in food and nutrition research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0Rediscovering similarity analysis of analytical signal: a not well-known mainstay of chemometrics
TrAC Trends in Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 118166 - 118166
Published: Jan. 1, 2025
Language: Английский
Citations
0Incorporating Random Tree Statistical Learning Classifier to Authenticate PDO Kalamata Olive Oil Blended with Aigialeia Olive Oil from the Geographic Region of Peloponnese in Greece
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Journal Year: 2025, Volume and Issue: 21, P. 127 - 136
Published: March 14, 2025
Authentication of Protected Designation Origin (PDO) Kalamata olive oil is required to assess its quality in the marketplace compared with other varieties. Concretely, located southern Greece geographic county Messenia, which part region Peloponnese and famous for extra virgin produced from Koroneiki variety. Intuitively, PDO oil, established by Council regulation (EC) No 510/2006, owes special characteristics geographical environment, tree variety, human factor. However, authentication a challenging task when it blended varieties, such as Aigialeia variety that cultivated Achaia, also Peloponnese. Subsequently, process achieved adopting potentiality certain statistical machine learning models. Specifically, this paper, random classification model authenticate Aigialeia. adopted authenticates based on synchronous excitation-emission fluorescence (SyEE) spectroscopy applied data samples. Experiments performed evaluate efficiency classifier. observed results promise define originality exploiting unique characteristics.
Language: Английский
Citations
0NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil
Computational and Structural Biotechnology Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
This study investigates the potential of 1H NMR spectroscopy for predicting key chemical and sensory attributes in olive oil. By integrating data with traditional analyses evaluation, we developed multivariate models to evaluate predictive power spectra coupled machine learning algorithms 50 distinct oil quality parameters, including physicochemical properties, fatty acid composition, total polyphenols, tocopherols, attributes. We applied Random Forest regression correlate these achieving promising results, particularly major acids, tocopherols. have also found collected be highly effective classifying cultivars years harvest. Our findings highlight as a rapid, non-destructive, environmentally friendly tool assessment. introduces novel approach that combines spectral analysis analytical essential qualitative parameters leveraging proxies, this methodology offers alternative assessment techniques, enabling rapid determination several related attributes, geographical origin samples.
Language: Английский
Citations
0Applying Spectroscopies, Imaging Analyses, and Other Non-Destructive Techniques to Olives and Extra Virgin Olive Oil: A Systematic Review of Current Knowledge and Future Applications
Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1160 - 1160
Published: July 16, 2024
Given its huge economic, nutritional, and social value, extra virgin olive oil (EVOO) is an essential food. This flagship product of the countries bordering Mediterranean basin one most frauded products worldwide. Although traditional chemical analyses have demonstrated to be reliable tools for drupes EVOO quality assessment, they present several drawbacks; urgent need fast non-destructive techniques thus motivated this review. lack comprehensive reviews in literature, our first aim was summarize current knowledge regarding applying spectroscopies, imaging analyses, other olives EVOO. The second highlight innovative futuristic applications outline future research prospects within strategic production chain. With respect drupes, interesting results were obtained using RGB NIR spectroscopy, particularly portable devices specific digital cameras in-field or in-mill monitoring. Nevertheless, it important that spectroscopy integrated with flesh hardness measurements, given higher reliability parameter compared skin color. Finally, EVOO, although useful visible imagining, UV–Visible, NIR, Mid-Infrared spectroscopies been found, online monitoring strikes us as being technique improving chain near future.
Language: Английский
Citations
3Miniaturized Near-Infrared spectrophotometers in forensic analytical science − a critical review
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 315, P. 124297 - 124297
Published: April 15, 2024
Language: Английский
Citations
2Authentication of Argentinean extra-virgin olive oils using three-way fluorescence and two-way near-infrared data fused with multi-block DD-SIMCA
Food Chemistry, Journal Year: 2024, Volume and Issue: 463, P. 141127 - 141127
Published: Sept. 3, 2024
Language: Английский
Citations
2Screening tools combined with multivariate data analysis to predict or confirm virgin olive oil classification by the Panel test
European Journal of Lipid Science and Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 13, 2024
Abstract A particular aspect of quality control virgin olive oil (VOO) is the mandatory application, together with chemical and instrumental determinations, a standardized official method for sensory assessment. The latter, known as Panel test, carried out by trained assessors contributes to classification VOOs into three commercial categories (extra virgin, lampante). One drawback this related large number samples be analyzed, compared work capacity panel, especially during selection purchase companies that blend market oils conducted authorities verify declared category. For reason, it helpful develop validate robust rapid screening methods, based on volatile fingerprints, preclassify each sample one categories. Considering strict relation between compounds main attributes (fruity defects), gas‐chromatographic fingerprint can right choice. In paper, comparison two emerging techniques, namely, headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) flash‐gas chromatography (FGC), applied set 49 VOOs, using calibrations previously built larger samples, presented. correctly classified respect category determined was satisfactory comparable (92% HS‐GC‐IMS, 94% FGC), confirming effectiveness both methods robustness predictive models. Practical Applications : demand tools reduce assessed test has increased in recent years. validation models their joint adoption well bodies could nonconformities increase batches VOO being controlled, thus better protecting consumer. Therefore, desirable have different available analyze compounds, associated calibration models, along detailed instructions alternatives suit equipment individual laboratories.
Language: Английский
Citations
1Estimation of peanut quality based on free fatty acids and peroxide value by application of FTNIR and chemometrics approach
Food Chemistry Advances, Journal Year: 2024, Volume and Issue: 4, P. 100735 - 100735
Published: May 21, 2024
The possibility of rapid estimation moisture, protein, fat, free fatty acid (FFA), and peroxide value (PV) content in peanut kernel was studied by Fourier transform near-infrared spectroscopy (FTNIR) the diffuse reflectance mode to estimate nutritional quality peanut. protein fresh damaged seeds peanuts ranging from 3 9 %, 45 57 23 27 % respectively, were used for calibration model building based on partial least squares (PLS) regression. samples had major peaks at wavenumbers 5308.53, 4954.98, 4464.03, 4070.85, 7475.63, 8230.21, 6178.13 per cm. First second derivate mathematical preprocessing also applied order eliminate multiple baselines different chemical parameters FFA lowest validation errors (0.579 0.738) followed (0.736 0.765). with root mean square error cross-validation 0.76 a maximum correlation coefficient (R2) 96.8 obtained. comprehensive results signify that FT-NIR can be rapid, non-destructive quantification peanuts.
Language: Английский
Citations
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