Results 61 to 70 of about 69,792 (323)
Application of Electrical Properties to Differentiate Lard From Tallow and Palm Oil [PDF]
, 2013 This study aimed to differentiate lard from tallow and palm oil based on its electrical properties, namely conductance, impedance and capacitance. These properties were measured at spectra frequencies of 4.20 to 5.00 MHz in room temperature (26-27 oC ...
Djatna, T. (T) +4 more
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Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee
Chemie Ingenieur Technik, EarlyView.Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt +6 more
wiley +1 more source
Journal of Food ProtectionThe study was carried out keeping in view the recently emerging concern of adulteration of natural honey on the honey markets. This study intended to investigate honey adulteration detection using physical and chemical composition to achieve a foreign ...
Teferi Damto +2 more
doaj +1 more source
Rapid detection of adulteration in red dates (Ziziphus jujuba mill.) powder by Fourier-transform infrared spectroscopy combined with chemometrics analysis [PDF]
BIO Web of ConferencesFood adulteration presents a major challenge in the food industry, impacting product quality and consumer trust. This study investigates the use of Fourier Transform Infrared (FTIR) spectroscopy combined with chemometric methods, Principal Component ...
Crystal Tai Wern Chze +4 more
doaj +1 more source
After Heparin: Protecting Consumers From the Risks of Substandard and Counterfeit Drugs [PDF]
, 2011 Based on case studies, examines globalization and quality management trends in pharmaceutical manufacturing, barriers to Federal Drug Administration oversight, and the security of pharmaceutical distribution.
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Milk Adulteration Identification using Hyperspectral Imaging and ML.
Journal of Dairy ScienceMilk adulteration poses a global concern, with developing countries facing higher risks due to unsatisfactory monitoring systems and policies. Surprisingly, this common issue has often been overlooked in many countries.
Muhammad Aqeel +3 more
semanticscholar +1 more source
Food Chemistry International, EarlyView.ABSTRACT In this study, honey produced from Apocynum venetum L. was collected from BC (Bachu County), SY (Shaya County), and YL (Yuli County) in Xinjiang. The basic physical and chemical properties of the honey, and the contents of total phenols, total flavonoids, and amino acids were analyzed, and 16 types of polyphenols were quantified using triple ...
Na Zhang +5 more
wiley +1 more source
Milk adulteration detection method based on Raman spectroscopy and spatiotemporal attention networks
Shipin yu jixieObjectiveTo enhance the milk adulteration detection accuracy.MethodsThis study proposes a milk adulteration detection method by integrating Raman spectroscopy with a spatiotemporal attention network (STAN).
LIU Yanmei, ZHAO Baofeng, MA Huilian
doaj +1 more source
Shipin yu jixie, 2023 Objective: A COI sequence-based full-length DNA barcoding technology was established to identify adulteration of seven animal-derived components （including pigs, cows, sheep, chickens, ducks, geese and rabbits） in edible blood products.
LI Jiong +4 more
doaj +1 more source
Exploring Deep Learning to Predict Coconut Milk Adulteration Using FT-NIR and Micro-NIR Spectroscopy
Italian National Conference on SensorsAccurately identifying adulterants in agriculture and food products is associated with preventing food safety and commercial fraud activities. However, a rapid, accurate, and robust prediction model for adulteration detection is hard to achieve in ...
Agustami Sitorus, Ravipat Lapcharoensuk
semanticscholar +1 more source