Article
Chemistry, Inorganic & Nuclear
Shihao Wu, Heng Liang, Yan Li, Wanfang Zou, Zhijian Liao, Wei Wang, Xinyu Ye
Summary: In this paper, a novel Y2Mg2Ga2-xSi2O12:xCr(3+) (YMGS:xCr(3+), x = 0.005-0.08) phosphor was developed, which exhibited broadband emission from 650 nm to 1000 nm under 440 nm excitation. The phosphor showed a peak wavelength at 790 nm and a wide full width at half-maximum (FWHM) of up to 180 nm, making it suitable for NIR spectroscopic technology. The NIR pc-LED device, combining the YMGS:0.04Cr(3+) phosphor with a commercial blue chip, achieved a near-infrared output power of 14 mW and a photoelectric conversion efficiency of 5% at a drive current of 100 mA.
DALTON TRANSACTIONS
(2023)
Article
Engineering, Environmental
Bo-Mei Liu, Xiao-Xuan Guo, Lu-Yu Cao, Lin Huang, Rui Zou, Zhi Zhou, Jing Wang
Summary: Researchers developed a high-efficiency blue-light-excitable MgO:Cr3+,Ni2+ phosphor by introducing Cr3+ sensitizers, which emits near-infrared light at 1335 nm with high purity and narrow full width at half-maximum. The material exhibits a high internal quantum efficiency and excellent thermal stability, and the fabricated pc-LED device shows high optical power in the near-infrared region.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Automation & Control Systems
Rabie Reda, Taoufiq Saffaj, Hatim Derrouz, Salah Eddine Itqiq, Ilham Bouzida, Ouadi Saidi, Brahim Lakssir, El Mestafa El Hadrami
Summary: CalReg model outperformed other tested models in predicting certain soil properties, MBL performed the best for other properties, while BPNN showed superior performance in yet another set of properties. The results suggest that CalReg helps improve the accuracy of soil property prediction, showcasing potential for accurately determining selected soil properties in the laboratory when combined with NIRS.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Article
Food Science & Technology
Zhiyang (Stan) Tu, Joseph Irudayaraj, Youngsoo Lee
Summary: This study aimed to enhance the understanding of applying NIR spectroscopy in spray-dried samples by comparing two sample preparation strategies and two spectrometers. The results showed that the sample preparation strategies had little impact on NIR calibration model development. Although the benchtop NIR spectrometer outperformed the portable NIR spectrometer, the portable NIR spectrometer still demonstrated reliable performance for moisture analysis.
Article
Chemistry, Multidisciplinary
Jinmeng Xiang, Jiming Zheng, Xiaoqi Zhao, Xue Zhou, Changheng Chen, Minkun Jin, Chongfeng Guo
Summary: The near-infrared phosphor-converted light-emitting diodes (NIR pc-LEDs) have promising applications in fields such as non-destructive detection, bio-imaging and modern agriculture. This study successfully synthesized a broadband NIR-emitting phosphor CZGO: Cr3+, and improved its performance by introducing Yb3+. The fabricated NIR pc-LED device showed satisfactory performance in night vision and bio-imaging.
MATERIALS CHEMISTRY FRONTIERS
(2022)
Article
Horticulture
Giuseppe Ferrara, Valerio Marcotuli, Angelo Didonna, Anna Maria Stellacci, Marino Palasciano, Andrea Mazzeo
Summary: Near infrared (NIR) spectroscopy has been used in the agricultural industry to predict quality parameters. The study found that using a SCiO sensor and NIR spectroscopy, it is possible to accurately predict ripening parameters of table grapes, such as total soluble solids (TSS), titratable acidity, and pH. This rapid and economic sensor can be applied in vineyards for quick assessment of grape quality, as well as for fast sorting and screening throughout the supply chain.
Article
Engineering, Multidisciplinary
Yang S. Leong, Pin Jern Ker, Muhamad Haziq Hasnul, Mahdi A. Khamis, M. A. Hannan, Md. Zaini Jamaludin, Hui Mun Looe
Summary: This study focuses on monitoring the insulation system of power transformers using optical techniques and measuring inhibitor concentration in transformer oil through near-infrared spectroscopy. The development of new optical components and a mathematical model has led to a proposed prototype for onsite testing and online monitoring of inhibitor content concentration in transformer oil, showing promising results in performance comparison and verification.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Chemistry, Inorganic & Nuclear
Meng Zhao, Shengqiang Liu, Hao Cai, Fangyi Zhao, Zhen Song, Quanlin Liu
Summary: Efficient and tunable broadband near-infrared emissions have been realized by utilizing the compositional flexibility of antimonate double perovskites, with Ca2ScSbO6:Cr3+ exhibiting the highest internal quantum efficiency and thermal stability.
INORGANIC CHEMISTRY FRONTIERS
(2022)
Article
Automation & Control Systems
Mark Wohlers, Andrew Mcglone, Eibe Frank, Geoffrey Holmes
Summary: This research proposes a method to increase the robustness of convolutional neural networks in modelling near-infrared spectroscopy (NIRS) through the use of a simple data augmentation technique. The performance of convolutional neural network regression is compared to partial least squares regression (PLSR) using kiwifruit data collected from multiple handheld devices over three seasons and mango data collected from a single device over four seasons. The results indicate that data augmentation for NIR spectra can prevent overfitting, and augmenting the training data to mimic spectra collected over multiple devices leads to improved performance over PLSR.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Food Science & Technology
Maninder Meenu, Yaqian Zhang, Uma Kamboj, Shifeng Zhao, Lixia Cao, Ping He, Baojun Xu
Summary: In this study, near-infrared (NIR) spectroscopy combined with Chemometrics was used to predict the beta-glucan content in oats rapidly and non-destructively. The results showed that the wavelength region 700-1300 nm is sufficient for predicting beta-glucan content accurately.
Article
Food Science & Technology
Ragya Kapoor, Amir Malvandi, Hao Feng, Mohammed Kamruzzaman
Summary: This study aimed to explore the commercial applications of fruit and vegetable powders as edible coatings to enhance various functional and nutritional characteristics of apple slices. The results showed that miniature NIR spectroscopy was able to effectively monitor the drying process and discriminate between coated and uncoated apple slices based on differences in sugar and water absorption bands.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Anna A. Paltseva, Maha Deeb, Erika Di Iorio, Luana Circelli, Zhongqi Cheng, Claudio Colombo
Summary: The successful use of visible and near-infrared reflectance spectroscopy analysis combined with principal component regression and partial least-square regression was applied to detect different forms of lead. Linear discriminant analysis was used to classify soil into different categories of lead contamination risks. Different models were used to predict and compare total and bioaccessible lead concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Materials Science, Ceramics
Yanan Li, Shujie Gai, Hui Zhu, Jian Yin, Wenyuan Guo, Maxim S. Molokeev, Xiangyang Lu, Mao Xia, Zhi Zhou
Summary: In this study, the strategy of replacing Ge4+ with smaller Si4+ was adopted to selectively occupy the site of Bi3+ activator in the small ring and achieve near-infrared light-emitting in Zn-2(Ge,Si)O-4. The designed phosphor exhibited a broad near-infrared emission range from blue to NIR by controlling the crystal field engineering. This work provides new insights for the development of Bi3+-activated near-infrared emitting phosphors and sheds light on the potential near-infrared luminous mechanism of Bi3+.
CERAMICS INTERNATIONAL
(2023)
Article
Agronomy
Karen Brigitte Mejia-Correal, Victor Marcelo, Enoc Sanz-Ablanedo, Jose Ramon Rodriguez-Perez
Summary: In this study, partial least square regression models were developed using diffuse spectroscopy measurements to estimate the total soluble solids (TSS) content in different grape varieties. The most suitable spectral range for TSS prediction was found to be 400-700 nm (visible light), and the regression models for red grapes were generally more accurate than those for white grapes. The methodology of using diffuse spectroscopy and regression models based on reflectance values proved to be a non-invasive and efficient technique for determining optimal grape maturity for harvest.
Article
Soil Science
Jun Wu, Daqian Guo, Guo Li, Xi Guo, Liang Zhong, Qing Zhu, Jiaxin Guo, Yingcong Ye
Summary: This study investigates the use of visible-near-infrared spectroscopy in predicting soil organic carbon content. The study shows that selecting spectral variables and conducting stratified calibration based on soil type can improve the accuracy of predictions.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2022)
Article
Food Science & Technology
Attilio Matera, Giuseppe Altieri, Francesco Genovese, Paolo Polidori, Silvia Vincenzetti, Annamaria Perna, Amalia Simonetti, Mahdi Rashvand Avei, Augusto Calbi, Giovanni Carlo Di Renzo
Summary: The high temperature short time treatment of raw donkey milk using an innovative continuous low flow rate pasteurization plant resulted in decreased levels of lysozyme, beta-lactoglobulin, and antioxidant capacity, while maintaining stable levels of vitamins. This approach shows potential for improving the nutritional quality of donkey milk.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Agronomy
Mahdi Rashvand, Giuseppe Altieri, Francesco Genovese, Zhiguo Li, Giovanni Carlo Di Renzo
Summary: The paper reviews the use of finite element method in the design and evaluation of agricultural machinery and food industry equipment, highlighting its importance in minimizing damage to agricultural products.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Article
Chemistry, Applied
Giuseppe Altieri, Mahdi Rashvand, Orkhan Mammadov, Attilio Matera, Francesco Genovese, Giovanni Carlo Di Renzo
Summary: This study improved the predictive performance of donkey milk in terms of protein, lactose, and dry-matter content using spectroscopic models, by adding interaction terms and achieving higher accuracy in prediction.
JOURNAL OF NEAR INFRARED SPECTROSCOPY
(2022)
Article
Agriculture, Multidisciplinary
Attilio Matera, Giuseppe Altieri, Francesco Genovese, Luciano Scarano, Giuseppe Genovese, Giovanni Carlo Di Renzo
Summary: The postharvest management of fresh figs is crucial for maintaining their quality, and an innovative packaging system with a breathable device (BD) has shown effectiveness in extending their storage period. Compared to sealed and macro-perforated film-based tray packaging, the BD system has lower rot decay incidence and better storage performance.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Engineering, Chemical
Mahdi Rashvand, Giuseppe Altieri, Francesco Genovese, Attilio Matera, Orkhan Mammadov, Zhiguo li, Giovanni Carlo Di Renzo
Summary: This paper utilizes the finite element method (FEM) to quantitatively analyze the mechanical damage of olive caused by the hand-held rotary harvester (RH). The effects of two different materials (Ethylene Propylene Rubber and Neoprene) of the RH head component on olive damage were studied. The experimental and simulation results show that the Ethylene Propylene Rubber head produces less stress and bruise volume than the Neoprene head. The correlation between the quality characteristics of olive oil and the measured and simulated bruise volume was also investigated.
JOURNAL OF FOOD PROCESS ENGINEERING
(2023)
Article
Food Science & Technology
Mahdi Rashvand, Attilio Matera, Giuseppe Altieri, Francesco Genovese, Tobi Fadiji, Umezuruike Linus Opara, Mohammad Amin Mohamadifar, Aberham Hailu Feyissa, Giovanni Carlo Di Renzo
Summary: MAP technology is a well-proven method to extend the shelf life of fresh produce by avoiding anaerobiosis activities. The design of a successful MAP system depends on various factors, and mathematical modeling has been used to achieve optimal conditions. Research should focus on optimizing the effective factors for specific parameters and developing comprehensive mathematical models for optimal MAP design.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2023)
Article
Food Science & Technology
Mahdi Rashvand, Giuseppe Altieri, Attilio Matera, Francesco Genovese, Giovanni Carlo Di Renzo
Summary: This study aims to discriminate olive oil samples based on their chemical and dielectric properties. Three cultivars of olives (Oily, Yellow, and Fishemi) at different ripening stages were tested, and the quality characteristics of the extracted olive oil were measured. The dielectric parameters of the EVOO were measured using a laboratory developed low-frequency device.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2023)
Article
Agricultural Engineering
Mahdi Rashvand, Giuseppe Altieri, Zhiguo li, Abbas Akbarnia, Francesco Genovese, Attilio Matera, Giovanni Carlo Di Renzo
Summary: This research investigates the mechanical damage to olive fruit caused by a rotary olive harvesting machine. The study explores the influence of impactor rod geometrical properties and speed on the damage. The findings have significant implications for the design and optimization of such harvesting machines.
BIOSYSTEMS ENGINEERING
(2023)
Article
Food Science & Technology
Attilio Matera, Lucia Sepe, Silvia Vincenzetti, Roberta Tolve, Nicola Condelli, Salvatore Claps, Francesco Genovese, Annamaria Ricciardi, Teresa Zotta, Teresa Scarpa, Maria Antonietta Di Napoli, Giulia Francesca Cifuni, Paolo Polidori, Giuseppe Santini, Luciano Scarano, Giuseppe Altieri, Giovanni Carlo Di Renzo, Sofia Renzi, Marilisa Giavalisco, Fernanda Galgano
Summary: Feed production systems should consider more sustainable solutions to reduce pressure on finite resources. A study found that a diet enhanced with microencapsulated condensed tannins (MCTs) had a positive effect on milk quality by reducing urea content and preserving n-3 and n-6 fatty acids. However, MCTs negatively impacted the amount of B group vitamins. MCTs may be a promising feed supplement that improves milk chemical quality while enhancing environmental sustainability.
INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY
(2023)
Article
Engineering, Chemical
Mahdi Rashvand, Giuseppe Altieri, Rouzbeh Abbaszadeh, Attilio Matera, Francesco Genovese, Aberham Hailu Feyissa, Giovanni Carlo Di Renzo
Summary: In this study, fresh and in-packaged apricots were treated with DBD cold plasma and stored to simulate shelf life. The effects of DBD treatment on quality attributes were investigated and artificial neural network and support vector regression were used to predict CO2 and ethylene production. The results showed that intelligent methods are effective tools for predicting quality parameters of fresh fruits.
JOURNAL OF FOOD PROCESS ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Mauro Viccaro, Adele Coppola, Maria Consiglia D'Angelo, Francesco Genovese, Severino Romano, Mario Cozzi
Summary: Understanding food waste behavior among young people is crucial for achieving sustainable development goals. This study extends the theory of planned behavior by incorporating personal norms and environmental concern, and finds that these factors play different roles in influencing food waste behavior among different generations.
Article
Food Science & Technology
Mahdi Rashvand, Attilio Matera, Giuseppe Altieri, Francesco Genovese, Mehrad Nikzadfar, Aberham Hailu Feyissa, Giovanni Carlo Di Renzo
Summary: The study investigated the effect of cold plasma on a bio-nanocomposite film. Cold plasma was generated using a dielectric barrier discharge system. The treatment improved the thermal stability, crystallization, mechanical properties, and barrier properties of the film. It also resulted in a decrease in oxygen and CO2 concentration in packed strawberries, indicating its potential for fruit preservation.
FOOD AND BIOPROCESS TECHNOLOGY
(2023)
Review
Horticulture
Maria Concetta Strano, Giuseppe Altieri, Maria Allegra, Giovanni Carlo Di Renzo, Giuliana Paterna, Attilio Matera, Francesco Genovese
Summary: Citrus spp. are the largest fruit source for human consumption in the Mediterranean basin. However, postharvest losses caused by diseases and metabolic disorders can reach 30 to 50% of total production. This article critically reviews the current knowledge about sustainable strategies and advanced postharvest handling and storage technologies, in order to reduce losses and preserve quality.
