Article
Chemistry, Analytical
Adam Kolobaric, Rebecca Orrell-Trigg, Seth Orloff, Vanessa Fraser, James Chapman, Daniel Cozzolino
Summary: This study evaluated the ability of a droplet collar accessory attached to a portable NIR instrument in characterizing the artificial contamination of methanol in commercial whisky samples. The results showed that the new sample presentation attachment can analyze the adulteration of whisky with methanol, but it was not effective in predicting low levels of methanol adulteration.
Article
Food Science & Technology
Shengyu Hao, Jie Yuan, Qian Wu, Xinying Liu, Jichun Cui, Hongzhuan Xuan
Summary: In this study, fluorescence spectroscopy combined with chemometrics was used to detect wolfberry honey adulteration. The main parameters, including fluorescence intensity, peak positions, and fluorescence lifetime, were analyzed with principal component analysis. The results showed that peak position and fluorescence intensity could differentiate wolfberry honey from other honeys or syrups. Three-dimensional spectra and fluorescence lifetime fitting plots were effective in distinguishing honey from syrups. The method was simple, fast, non-destructive, and had great potential for detecting honey adulteration.
Article
Biochemical Research Methods
Jingjing Tai, Huang Hu, Xiaoji Cao, Xinle Liang, Yanbin Lu, Hong Zhang
Summary: In this study, sarcoplasmic proteins were analyzed to distinguish between livestock and poultry meats using enolase as a potential biomarker protein. The glycosylation sites and glycans of enolase were found to be species-specific. Discrimination models based on glycopeptide contents showed high explanatory power and accuracy, with the animal-derived meat identification model performing best in identifying closely related species.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Alissa Drees, Johannes Brockelt, Lina Cvancar, Markus Fischer
Summary: The present study aimed to develop a routinely applicable method for quantitating shell material in cocoa nibs. Using FT-NIRS analysis of mixtures of cocoa nibs with shell material, support vector machine regression models were created. The models enabled the prediction of cocoa shell content in a mixing ratio range of 0-20% with an RMSE of 2.05% and a R2 of 0.88, and in a range of 0-10% with an RMSE of 1.70% and a R2 of 0.72. This suggests that the method is suitable for rapid determination of cocoa shell content in cocoa nibs.
Article
Materials Science, Characterization & Testing
Nitin Nagesh Kulkarni, Shweta Dabetwar, Jason Benoit, Tzuyang Yu, Alessandro Sabato
Summary: This study improves the accuracy of infrared thermography (IRT) in detecting voids underneath roadways by comparing and validating three advanced image-processing techniques. Among them, sparse principal component thermography (S-PCT) allows determining the physical size of voids with an accuracy above 95%. This research provides a foundation for advancing the use of IRT as a more accurate and cost-effective method for road condition monitoring.
NDT & E INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Indrani Mukherjee, Umesh Kumar Singh
Summary: This study evaluates the sources and controlling factors of groundwater contaminants in an agroeconomic region of the Lower Ganga Basin. The findings indicate that the dissolution of fluoride-bearing minerals and semi-arid climate regulate fluoride concentrations in groundwater, while the extensive use of inorganic nitrogenous fertilizers and livestock manure contribute to elevated nitrate levels. The health risk analysis reveals that fluoride exposure is more prevalent in residents of all age groups compared to nitrate, and both contaminants pose higher non-carcinogenic health risks to infants and children.
GEOSCIENCE FRONTIERS
(2022)
Article
Chemistry, Applied
Samal Yeganeh-Zare, Khalil Farhadi, Saber Amiri
Summary: The study focuses on substituting apple juice concentrate with cheaper sweeteners and utilizes HPLC-RID analysis to detect adulteration. The results show that the glucose/fructose ratio and maltose content are the best indicators for detecting the adulteration of apple juice concentrate. A specific set of carbohydrates is used as discriminating factors to detect adulteration at a limit of 10%.
Article
Spectroscopy
S. M. Obeidat, A. Y. Hammoudeh, N. Q. Abo-Alfool
Summary: Attenuated total reflection Fourier transform infrared spectroscopy coupled with principal component analysis was successfully used to investigate expensive and low-priced engine oil samples. Different viscosity grades of oil samples from various commercial brands were accurately distinguished using this method.
JOURNAL OF APPLIED SPECTROSCOPY
(2022)
Article
Agricultural Engineering
Feifei Tao, Li Liu, Christopher Kucha, Michael Ngadi
Summary: This study investigated the use of a low-cost, ultra-compact, handheld microNIR spectrometer to detect adulteration of wheat flour. Various classification models were established, achieving high accuracy in differentiating pure and adulterated flour samples, showcasing the potential of spectroscopy in food quality testing.
BIOSYSTEMS ENGINEERING
(2021)
Article
Food Science & Technology
Magdalena Gajek, Aleksandra Pawlaczyk, Elzbieta Mackiewicz, Jadwiga Albinska, Piotr Wysocki, Krzysztof Jozwik, Malgorzata Iwona Szynkowska-Jozwik
Summary: The study analyzed 205 samples of whisky to distinguish between authentic and fake products based on their elemental profiles. Elements such as Mn, K, P, and S were identified as key markers for detecting whisky adulteration related to the aging process. Fake samples showed significantly lower levels of manganese, potassium, and phosphorus, while sulfur levels were higher compared to authentic samples.
Article
Chemistry, Analytical
Andre Olean-Oliveira, Heitor F. Trevizan, Celso X. Cardoso, Marcos F. S. Teixeira
Summary: This paper presents a systematic study on the electrochemical impedance of various alcohols using a sensor based on nickel-salen metallopolymer. The application of principal component analysis (PCA) was used for the identification of contaminants in alcoholic beverages. The reactivity of alcohols on the device was found to be directly related to pKa values and polarity index through electrochemical impedance analysis. A system that differentiates different types of alcohols based on impedimetric variables was successfully established using multivariate analysis.
Article
Chemistry, Multidisciplinary
Martina Mattia, Paola Tuccimei, Giancarlo Ciotoli, Michele Soligo, Claudio Carusi, Elisa Rainaldi, Mario Voltaggio
Summary: The article explores the application of radon deficit as a tracer of contamination, in order to assess the degree and evolution of NAPL contamination in soil and groundwater. By statistically analyzing radon data, NAPL concentration in groundwater, and the depth of the groundwater table, the factors and attenuation processes affecting the contamination sites are identified.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Jiafeng Pang, Kairong Lin, Wenhui Gan, Sike Hu, Wei Luo
Summary: Contamination assessment and source analysis are crucial for managing urban waterways. This study utilized an improved water quality index (WQI-DET) to analyze the water quality of the Fenjiang River in Foshan City, China. The results identified COD and NH3-N as the main factors contributing to water quality deterioration, with NH3-N showing a significant impact in recent years. Human activities were found to have a more significant influence on water quality than natural factors.
Article
Engineering, Chemical
Babak Foroughi, Javad Rahbar Shahrouzi, Ramin Nemati
Summary: An automatic distillation apparatus and online image processing were utilized to detect gasoline adulteration. The study revealed significant impacts of additives on super gasoline. By employing principal component analysis and artificial neural network, accurate prediction of adulterants' volume percentage was achieved.
CHEMICAL ENGINEERING & TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Haolan Yang, Liangying Bao, Yifei Liu, Shuting Luo, Fengyan Zhao, Guangyu Chen, Fang Liu
Summary: This study proposes a multi-dimensional analysis method utilizing Fourier-transform mid-infrared spectroscopy and diode-array near-infrared spectroscopy in combination with chemometric techniques, successfully identifying and quantifying salt-adulterated honeysuckle. Through the PLS-DA model, the authentication of different levels of salt adulteration in honeysuckle samples was achieved, with optimal PLS regression models obtained by synergy interval PLS and backward interval PLS algorithms.
MICROCHEMICAL JOURNAL
(2021)
Review
Food Science & Technology
R. Pandiselvam, N. U. Sruthi, Ankit Kumar, Anjineyulu Kothakota, Rohit Thirumdas, S. V. Ramesh, Daniel Cozzolino
Summary: Classical methods for assessing the quality of food grains are either destructive or time-consuming, calling for an alternative approach. Spectroscopic techniques, such as FT-IR, NIR, and Raman spectroscopy, have been extensively studied for efficient determination of grain quality. This review focuses on the working principles and recent applications of these techniques in the grain industry, including quality discrimination, adulterant detection, process optimization, and production monitoring, while also highlighting challenges, limitations, advantages, and future trends.
FOOD REVIEWS INTERNATIONAL
(2023)
Article
Food Science & Technology
Eshetu M. Bobasa, Sukirtha Srivarathan, Anh Dao Thi Phan, Michael E. Netzel, Daniel Cozzolino, Yasmina Sultanbawa
Summary: The study evaluated the influence of blanching on the content of vitamin C and ellagic acid (EA) in Kakadu plum fruits during storage. The results showed that vitamin C decreased over the storage period, while EA content remained stable. The KP fruits also demonstrated excellent antioxidative properties and protected against fatty acid oxidation.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2023)
Editorial Material
Food Science & Technology
Daniel Cozzolino
Article
Food Science & Technology
Daniel Cozzolino, Daniel Bures, Louwrens C. Hoffman
Summary: This study evaluated the use of a hand-held near infrared spectrophotometer and a similarity index (SI) method to identify meat samples from different animal species. Lamb, emu, camel, and beef samples obtained from a commercial abattoir were analyzed using the spectrophotometer. The results indicated that the combination of SI and NIR spectroscopy can distinguish meat samples from different species. This method has potential for improvement in the meat and food industries due to its rapidity, portability, affordability, and user-friendly nature.
Article
Chemistry, Multidisciplinary
P. Rajapaksha, R. Orrell-Trigg, D. Shah, S. Cheeseman, K. B. Vu, S. T. Ngo, B. J. Murdoch, N. R. Choudhury, H. Yin, D. Cozzolino, Y. B. Truong, A. F. Lee, V. K. Truong, J. Chapman
Summary: Antimicrobial resistance is a global health challenge, which requires innovative nanomaterials and antimicrobial strategies. In this study, a broad-spectrum antimicrobial nanomaterial combining light-responsive ZnO nanoparticles and reduced graphene oxide was developed for water depollution. The nanocomposite demonstrated strong antimicrobial efficacy against methicillin-resistant Staphylococcus aureus, Escherichia coli, and Salmonella typhimurium bacteria, and also showed potential for photocatalytic degradation of dye.
MATERIALS TODAY CHEMISTRY
(2023)
Review
Chemistry, Analytical
B. Dayananda, S. Owen, A. Kolobaric, J. Chapman, D. Cozzolino
Summary: The availability of advanced instrumentation has greatly advanced the field of analytical chemistry, enabling the development of new applications. However, direct interpretation of recorded data is often not straightforward, necessitating pre-processing techniques. This paper provides an overview of the most commonly used pre-processing methods in instrumental analytical methods, such as spectroscopy and chromatography. It also highlights the importance of pre-processing techniques in data analysis, interpretation, and the development of accurate chemometric models.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2023)
Review
Food Science & Technology
Ali Ali Redha, Luciana Torquati, Faye Langston, Geoffrey R. Nash, Michael J. Gidley, Daniel Cozzolino
Summary: Cruciferous vegetables and oilseeds are rich in glucosinolates that can transform into isothiocyanates upon enzymic hydrolysis. Monitoring and assessing glucosinolates and isothiocyanates content in the food value chain is important. Infrared spectroscopy has been used as a nondestructive and low-cost method to determine glucosinolates and isothiocyanates in vegetables and oilseeds, but further evaluation and interpretation of the results are needed.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Food Science & Technology
Gayatri Mishra, Prashant Sahni, Ravi Pandiselvam, Brajesh Kumar Panda, Dolly Bhati, Naveen Kumar Mahanti, Anjineyulu Kothakota, Manoj Kumar, Daniel Cozzolino
Summary: Texture is a crucial sensory attribute affecting consumer acceptance of food. However, traditional texture measurement methods have limitations in terms of subjectivity and time consumption. This has led to the exploration of nondestructive texture analysis techniques, such as micro-deformation, acoustic, and optical methods, which are feasible for in-line applications. This review provides an overview of the working principles, recent applications, and challenges associated with the commercialization of nondestructive texture analysis techniques.
JOURNAL OF TEXTURE STUDIES
(2023)
Review
Chemistry, Analytical
Ni Dongdong, Daniel Cozzolino
Summary: The main role of precision nutrition is to personalize nutrition recommendations based on various factors such as historical diet, phenotype data, genotype, microbiome, proteome, and metabolome. Recent advances in digital technologies and data analytics have allowed for the development of practical and robust analytical tools in personalized nutrition. This review focuses on the application of non-destructive techniques, specifically vibrational spectroscopy combined with data analytics, in analyzing metabolites and biomarkers in biofluids other than blood in human nutrition.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Green & Sustainable Science & Technology
Rahul Sreekumar, Nanjappa Ashwath, Daniel Cozzolino
Summary: The aim of this study was to assess the biogeographic variability in the contents of fruit, kernel, kernel-oil, and press-cake of beauty leaf tree (C. inophyllum L.) accessions collected from multiple locations in Australia. The results showed that the NIR spectra of crushed kernels helped differentiate different genotypes, making it a useful tool for genotype screening and seed preservation.
Article
Food Science & Technology
Maninder Meenu, Daniel Cozzolino, Baojun Xu
Summary: Oats from different parts of China, Canada, and the United States were investigated for their phenolic and flavonoid content as well as antioxidant potential. NIR spectra combined with PLSR were used to develop calibration models for the non-destructive prediction of these attributes. However, more diverse samples are needed to establish robust calibration models for accurate prediction.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2023)
Article
Food Science & Technology
Ali Ali Redha, Hung T. Hong, Luciana Torquati, Geoffrey R. Nash, Michael J. Gidley, Daniel Cozzolino
Summary: A liquid chromatography-mass spectrometry method was developed to accurately identify and quantify broccoli sulforaphane. The method demonstrated highly reproducible retention time and a sharp sulforaphane peak, indicating high sensitivity and selectivity.
FOOD ANALYTICAL METHODS
(2023)
Article
Food Science & Technology
Ali Ali Redha, Faye Langston, Geoffrey R. Nash, John R. Bows, Luciana Torquati, Michael J. Gidley, Daniel Cozzolino
Summary: This study evaluates the application of mid-infrared spectroscopy for the determination of glucosinolates (GSLs) in commercial broccoli. The results showed that MIR spectroscopy can be used to determine some specific GSLs in broccoli. The models developed demonstrated that the variations in broccoli composition can influence the cross-validation models for GSLs.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Food Science & Technology
Ramanah Visnupriyan, Bernadine Flanagan, Karen Harper, Daniel Cozzolino
Summary: This study uses mid-infrared spectroscopy to rapidly measure the concentration of maltose and % digested starch during in-vitro digestion experiments. The method shows potential to decrease the time and effort required for determining maltose concentration and % digested starch.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Shanmugam Alagappan, Anran Dong, Deirdre Mikkelsen, Louwrens C. Hoffman, Sandra Milena Olarte Mantilla, Peter James, Olympia Yarger, Daniel Cozzolino
Summary: This study investigated the ability of NIR spectroscopy combined with chemometrics to predict yeast and mould counts (YMC) in BSFL. The results showed that NIR spectroscopy can be used to monitor YMC in feed and assist in the selection of suitable processing methods and control systems for feed or larvae quality control.