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
Multidisciplinary Sciences
Ayesha Zeb, Waqar Shahid Qureshi, Abdul Ghafoor, Amanullah Malik, Muhammad Imran, Alina Mirza, Mohsin Islam Tiwana, Eisa Alanazi
Summary: This research evaluates the potential of short-wave NIR spectroscopy and direct sweetness classification approach for Pakistani cultivars of orange. The study finds a good correlation between NIR spectra and sensory assessment, suggesting that a direct classification approach is more suitable for machine-learning-based orange sweetness classification.
SCIENTIFIC REPORTS
(2023)
Article
Food Science & Technology
Thayane R. B. Farias, Elenilson G. Alves Filho, Lorena M. A. Silva, Edy S. De Brito, Sueli Rodrigues, Fabiano A. N. Fernandes
Summary: The study showed that cold plasma technologies could alter the sugar and organic acid content of apple products, with glow discharge plasma leading to a decrease in sucrose and an increase in glucose, fructose, and malic acid, while dielectric barrier discharge plasma resulted in sugar reduction and increased malic acid content.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Food Science & Technology
Atsushi Ikegaya
Summary: This study found that there are significant variations in the ratios of major free sugars and major organic acids in strawberry juice, and these differences affect the perceived intensities of sweetness and sourness.
JOURNAL OF FOOD SCIENCE
(2023)
Article
Chemistry, Applied
Giuseppe Ferrara, Andrea Melle, Valerio Marcotuli, Davide Botturi, Olaniyi Amos Fawole, Andrea Mazzeo
Summary: A portable NIR device, the SCiO (TM) molecular sensor, was used to non-destructively determine ripening parameters of Primitivo wine grape cultivar. The calibration models provided similar results for two different training methods and were validated with good performance.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Plant Sciences
A. Silber, T. Goldberg, O. Shapira, U. Hochberg
Summary: This study assessed the effects of N fertigation regime on nutrient uptake and distribution in mango leaves and fruit. It found that deficient N conditions resulted in low vegetation and fruit yield, while excess N concentration enhanced vegetative growth but reduced fruit yield.
PLANT PHYSIOLOGY AND BIOCHEMISTRY
(2022)
Article
Food Science & Technology
Teodora Basile, Antonio Domenico Marsico, Rocco Perniola
Summary: The study utilized NIR spectroscopy to analyze the hardness and sweetness of grapes, with chemometric analysis conducted using open-source software for user-friendly results.
Article
Engineering, Multidisciplinary
Razieh Pourdarbani, Sajad Sabzi, Mohammad H. Rohban, Gines Garcia-Mateos, Jitendra Paliwal, Jose Miguel Molina-Martinez
Summary: This study focuses on the spectrochemical estimation of pH and titratable acidity (TA) of Fuji apples at different ripening stages. A novel approach using hybrid machine learning methods is proposed for near-infrared (NIR) spectral analysis. The results demonstrate that the models based on spectral bands and selected wavelengths are comparable in predicting the acidity properties of the apples.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Optics
Yong Chen, Chaoyuan Cui, Yun Wu
Summary: The study utilized a multi-population genetic algorithm for variable selection, proposing a hybrid method combining CARS and MPGA. The results demonstrated that this method was the most effective, with high model accuracy and minimal number of variables needed.
Article
Multidisciplinary Sciences
Razieh Pourdarbani, Sajad Sabzi, Juan I. Arribas
Summary: This study used spectroscopy to nondestructively estimate fruit properties during the ripening stages of apples, with results showing that an artificial neural network-cultural algorithm can accurately estimate acidity, tissue firmness, and starch content. Evaluation of the proposed method based on optimal NIR wavelength values selected by a genetic optimization tool was successful in estimating the fruit properties.
Article
Horticulture
Javed Iqbal, Sidra Kiran, Shabir Hussain, Rana Khalid Iqbal, Umber Ghafoor, Uzma Younis, Tayebeh Zarei, Misbah Naz, Sevda Ghasemi Germi, Subhan Danish, Mohammad Javed Ansari, Rahul Datta
Summary: The quality of mango fruit is crucial for storage and economic value, and low organic matter in the soil is a major challenge for mango growers. Biochar shows potential in improving soil properties and enhancing mango quality and yield. Further studies on different soil types, climates, and mango varieties are needed to confirm the effectiveness of biochar in improving mango fruit quality and yield in alkaline soils.
Article
Agriculture, Multidisciplinary
Sandra Marin-San Roman, Juan Fernandez-Novales, Cristina Cebrian-Tarancon, Rosario Sanchez-Gomez, Maria Paz Diago, Teresa Garde-Cerdan
Summary: The use of near-infrared spectroscopy (NIR) was evaluated to estimate the aromatic composition and total soluble solids (TSS) of Tempranillo Blanco grape berries during ripening. The results showed that NIR spectroscopy can successfully be used in a non-destructive, fast, and contactless manner to estimate the aromatic composition and TSS of Tempranillo Blanco berries. This study provides valuable information for grape wines production.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Agriculture, Multidisciplinary
Zhiming Guo, Yiyin Zhang, Junyi Wang, Yuanyuan Liu, Heera Jayan, Hesham R. El-Seedi, Stella M. Alzamora, Paula L. Gomez, Xiaobo Zou
Summary: Transfer and updating of NIR spectroscopy model for fruit internal quality using IoT and DL has been achieved. A model transfer platform was built, including a low-power handheld terminal and cloud data system. An AE neural network model was developed for spectral correction and model transfer, resulting in improved accuracy and reduced error in NIR detection of SSC in apples.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
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
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)
Review
Food Science & Technology
Shyam Narayan Jha, Pranita Jaiswal, Manpreet Kaur Grewal, Mansha Gupta, Rishi Bhardwaj
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2016)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Anjan Borah, Anuj Gautam, Manpreet Kaur Grewal, Gaurav Jindal
Article
Food Science & Technology
Rahul K. Anurag, M. Manjunatha, Shyam Narayan Jha, Leena Kumari
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2016)
Article
Agronomy
K. Narsaiah, Robin A. Wilson, K. Gokul, H. M. Mandge, S. N. Jha, Sheetal Bhadwal, Rahul K. Anurag, R. K. Malik, S. Vij
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2015)
Article
Food Science & Technology
Neelam Upadhyay, Pranita Jaiswal, Shyam Narayan Jha
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2016)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Anjan Borah
Article
Food Science & Technology
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Ramya Hg
INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY
(2018)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Anjan Borah, H. G. Ramya
Article
Chemistry, Physical
Neelam Upadhyay, Pranita Jaiswal, Shyam Narayan Jha
JOURNAL OF MOLECULAR STRUCTURE
(2018)
Article
Engineering, Chemical
S. N. Jha, K. Narsaiah, P. Jaiswal, R. Bhardwaj, M. Gupta, R. Kumar, R. Sharma
JOURNAL OF FOOD ENGINEERING
(2014)
Article
Food Science & Technology
Manpreet Kaur Grewal, S. N. Jha, R. T. Patil, A. S. Dhatt, Amandeep Kaur, P. Jaiswal
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2015)
Article
Food Science & Technology
Manpreet Kaur Grewal, Pranita Jaiswal, S. N. Jha
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2015)
Article
Food Science & Technology
Mridula Devi, Kalyani Sharma, Shyam Narayan Jha, Simran Arora, Shadanan Patel, Yogesh Kumar, Rajesh Kumar Vishwakarma
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2020)
Article
Engineering, Chemical
Kalyani Sharma, Shadanan Patel, Shyam Narayan Jha, Mridula Devi, Rajesh Kumar Vishwakarma
Summary: This study developed a simple feeding system for discharging roasted makhana seeds of different sizes at consistent mass flow rates. By rotating the orifice plate placed at an off-center distance in the horizontal bottom, controlled flow rates can be sustained even with small aperture size. Mass flow rates increase with the increase in rotational rate, aperture size, and off-center distance.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Agronomy
Shyam Narayan Jha, Pranita Jaiswal, Leena Kumari, Jaspreet Kaur, H. G. Ramya, S. Lawnia
Summary: Patulin, a dangerous mycotoxin, is difficult to inactivate due to its stability to heat treatment. ATR-FTIR spectroscopy with chemometrics showed potential in detecting patulin in apple juice by modulating pH. The study successfully classified different levels of patulin using developed models and demonstrated effective discrimination between contaminated and uncontaminated juice samples.
AGRICULTURAL RESEARCH
(2021)