Article
Food Science & Technology
Eva M. Achata, Carlos Esquerre, K. Shikha Ojha, Brijesh K. Tiwari, Colm P. O'Donnell
Summary: In this study, beef jerky samples were dried under different conditions with and without ultrasound treatment, and their moisture content was predicted using near infrared hyperspectral imaging and chemometrics. The developed moisture content prediction models show potential for process control applications, with different optimal models for ultrasound treated and non-treated samples.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2021)
Article
Food Science & Technology
Mariem Khouja, Ricardo N. M. J. Pascoa, Diana Melo, Anabela S. G. Costa, M. Antonia Nunes, Abdelhamid Khaldi, Chokri Messaoud, M. Beatriz P. P. Oliveira, Rita C. Alves
Summary: This study investigated the feasibility of using near-infrared spectroscopy to analyze the lipid content and profile of pine seeds, as well as to discriminate between different pine species. Different chemometric models were applied, and the results showed that near-infrared spectroscopy is a suitable analytical technique for lipid analysis and species discrimination of pine seeds.
Article
Pharmacology & Pharmacy
Adam J. J. Rish, Samuel R. R. Henson, Yang Liu, James K. K. Drennen, Carl A. A. Anderson, Md. Anik Alam
Summary: As continuous manufacturing processes develop, near-infrared spectroscopy has become an important tool in process monitoring. Traditional Partial Least Squares (PLS) models require significant time and resources for development, leading to the increasing interest in calibration-free/minimal calibration approaches. This study demonstrates the success and value of iterative optimization technology algorithms for monitoring potency trends and API content in a continuous manufacturing system, with improved prediction performance using a novel wavelength method.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Food Science & Technology
Silvia Grassi, Lorenzo Strani, Cristina Alamprese, Nicolo Pricca, Ernestina Casiraghi, Giovanni Cabassi
Summary: This study proposes a process analytical technology approach using near infrared spectroscopy and multivariate statistical process control charts for the control of milk coagulation. The results demonstrate the effectiveness of this method in monitoring coagulation times and detecting possible failures.
Article
Food Science & Technology
Frederick Lia, Marion Zammit-Mangion, Claude Farrugia
Summary: This study utilized synchronized excitation-emission spectroscopy to authenticate and discriminate Maltese extra virgin olive oils. Different chemometric methods were employed to determine the origin of the oil samples. The research findings showed that higher classification accuracy could be achieved under specific pre-treatments and variable selection procedures.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2022)
Review
Chemistry, Analytical
Sarmento J. Mazivila, Joao L. M. Santos
Summary: This review summarizes the important results obtained from the combination of multivariate curve resolution-alternating least-squares (MCR-ALS) with spectroscopic and chromatographic data in real-time process monitoring. It also discusses the progress and evolving stages in process analytical chemistry (PAC) and process analytical technology (PAT) using MCR-ALS.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2022)
Review
Chemistry, Multidisciplinary
G. Gullifa, L. Barone, E. Papa, A. Giuffrida, S. Materazzi, R. Risoluti
Summary: There is a growing interest in cost-effective and nondestructive analytical techniques, and portable near-infrared spectrometers have been recognized as powerful instruments for nondestructive, online, or in situ analysis. Chemometrics plays a fundamental role in obtaining useful results from NIR spectra. This review provides starting references of portable NIR applications in the period 2019-2022 to demonstrate the potential of this analytical approach.
FRONTIERS IN CHEMISTRY
(2023)
Article
Food Science & Technology
Teodora Basile, Antonio Domenico Marsico, Rocco Perniola
Summary: In this study, non-destructive NIR spectroscopy and machine learning techniques were used to predict texture parameters and total soluble solids content in intact grape berries. The multivariate models built using artificial neural networks and partial least squares regressions showed improved prediction accuracy after eliminating uninformative spectral ranges. A high prediction accuracy was achieved for total soluble solids content and springiness, while qualitative models were obtained for hardness and chewiness. Unfortunately, a satisfactory calibration model could not be established for cohesiveness. The size of the grape berries is closely related to their textural parameters, requiring a time-consuming sorting step before texture measurement.
Article
Food Science & Technology
Chuanmao Zheng, Jieqing Li, Honggao Liu, Yuanzhong Wang
Summary: This study presents a fast and non-invasive method for the authentication of geographical indication (GI) of food or medicinal plants. Using infrared spectroscopy analysis and data fusion, accurate certification models were established, demonstrating that specific bands can serve as fingerprint regions for verifying the origin.
Article
Food Science & Technology
Rafael C. Castro, David S. M. Ribeiro, Joao L. M. Santos, Ricardo N. M. J. Pascoa
Summary: This study proposes a method based on NIR spectroscopy and chemometric tools for the authentication, identification and quantification of cinnamon adulterants. The results reveal that NIR spectroscopy can accurately authenticate, identify and quantify adulterants in cinnamon samples in a rapid and low-cost manner.
Article
Agronomy
Angela Melado-Herreros, Sonia Nieto-Ortega, Idoia Olabarrieta, Monica Gutierrez, Alberto Villar, Jaime Zufia, Nathalie Gorretta, Jean-Michel Roger
Summary: This study developed a classification model to segregate avocados using Vis-NIR spectroscopy and PLS-DA, achieving a satisfactory accuracy of 62%. The ripening index was found to significantly impact classification, with the region of 400-1100 nm influencing the model significantly.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2021)
Article
Chemistry, Applied
Yujie Wang, Menghui Li, Luqing Li, Jingming Ning, Zhengzhu Zhang
Summary: In this study, a micro near-infrared (NIR) spectrometer was used for the qualitative and quantitative evaluation of tea, achieving optimal discriminant and predictive performance through chemometrics analysis. This study provided a portable and low-cost method for in-situ assessing tea quality.
Article
Chemistry, Analytical
Daniele C. G. C. Kunze, Tereza C. M. Pastore, Hugo S. Rocha, Priscila Veras Dos Anjos Lopes, Rafaela Dornelas Vieira, Vera T. R. Coradin, Jez W. B. Braga
Summary: The combination of NIRS technology and multivariate methods can differentiate wood from different forest species and determine their provenance. By using external parameter orthogonalization (EPO), the effect of moisture on wood spectra can be minimized, resulting in improved analysis efficiency and reduced outlier rates. EPO and soft-PLS-DA are effective strategies for enabling the application of NIR technology in field conditions, such as in monitoring illegal timber trade.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Cristina Manis, Cristina Malegori, Eugenio Alladio, Marco Vincenti, Paolo Garofano, Filippo Barni, Andrea Berti, Paolo Oliveri
Summary: This study introduces a novel nondestructive analytical strategy using hyperspectral imaging and multivariate regression methods to accurately determine the date of biological fluids such as semen and urine, as well as blood traces. The results have significant implications for limiting the number of suspects and clarifying the sequence of events in a crime.
Article
Biotechnology & Applied Microbiology
Christopher Gillespie, Dhanuka P. Wasalathanthri, Diana B. Ritz, George Zhou, Keith A. Davis, Thomas Wucherpfennig, Nadine Hazelwood
Summary: The study evaluated the business value of PAT technologies in biotherapeutic development, highlighting the different values various PAT tools hold in upstream and downstream processes. The results aim to assist current practitioners and newcomers in prioritizing and steering their projects towards success.
BIOTECHNOLOGY AND BIOENGINEERING
(2022)
Article
Chemistry, Analytical
Elena Naumovska, Gabriel Kofi Nzulu, Laura Mazzei, Arnaud Le Febvrier, Kristina Komander, Martin Magnuson, Max Wolff, Per Eklund, Maths Karlsson
Summary: Results from an infrared spectroscopy study on hydrated nanocrystalline films of BaZr1-xScxO3-x/2 with different Sc concentrations show variations in the O-H stretching bands, indicating different proton configurations. Higher Sc concentrations exhibit a distinct O-H stretching band, while lower Sc concentrations show a broader, weaker band.
VIBRATIONAL SPECTROSCOPY
(2024)