Fluorescence Spectroscopy for the Monitoring of Food Processes

Surfactant-Based Polymer Microchip Electrophoresis of Ciprofloxacin Hydrochloride Monohydrate in Unfiltered Milk With Fluorescence Detection

This work describes a cross-shaped PMMA ME system capable of detecting ciprofloxacin hydrochloride monohydrate (CPFH) in unfiltered milk samples. The cross-shaped PMMA ME system utilizes a BGE consisting primarily of the surface-active agent SDS to solubilize milk fat and improve the zeta potential of the PMMA microchannel surface. A theoretical lumped-element circuit model for cross-shaped ME is introduced in this work to calculate the migration time of CPFH. This manuscript improves the capabilities of PMMA-based ME for CPFH in milk using an SDS-based BGE. The presented ME system has a faster migration time, higher mean output voltage, and thinner full-width at half-maximum than previously reported dairy-based biosensor systems. Most notably, the migration time of the new system is under 10 min, being the time associated with the milking of cattle. The system is also found to be able to detect the presence of milk fat. Discussion is included of potential future integration with existing high-sensitivity methodologies to place the overall ME system's limit of detection below an established target. To the authors' knowledge, this is the first reported account of a PMMA ME system capable of detecting CPFH in unfiltered milk.

A simple light path modifying device to reduce scattering in front-face fluorescence spectra

This technical note presents a device to diminish scattering signal in front-face fluorescence spectra while obtaining fluorescence signal. The beam path in a commercial fluorescence spectrometer was modified by two deflecting mirrors, leading reflections away from the sensor. This light path modifying (LPM) device was tested with two fluid and three solid substances, where the scattering-to-fluorescence ratio improved by a factor of 1.7 to 7.6. The spectra obtained with the LPM were much clearer, and distortion of the fluorescence peaks was avoided. Scans of quinine sulphate complied well with reference spectra.

Application of DNA-fueled molecular machines in food safety testing

Food is consumed by humans, which is indispensable to human life. Therefore, considerable attention of the whole society has been paid to food safety. Over the last few years, dramatic social development has brought new challenges to food safety, making developing new and quick methods for on-site food safety testing an important necessity. As a result, DNA-fueled molecular machines, characterized by high efficiency, accuracy, and sensitivity in testing, have come into the spotlight, based on which sensors can be constructed to detect toxic and harmful substances in food products. This study reviewed recent research on several DNA-fueled molecular machines, including DNA tweezers, DNA walkers, and DNA origami, for rapidly detecting toxic and harmful substances. Based on the above studies, the sensitivity and timeliness of several DNA molecular machines were summarized and compared, and the development prospect of DNA fuel molecular machines in the field of food safety detection was prospected.

Fluorescence lifetime imaging microscopy as a tool to characterize spice powder variations for quality and authenticity purposes: A ginger case study

Spices are usually ground for applications and the resulting particle size of the powders is an important product attribute in view of the release of flavour. However, inhomogeneity of the original material may lead to variations in the physicochemical characteristics of the particles. This variation and its linkage to particle size may be examined by particular imaging techniques. This study aimed to explore the potential of Fluorescence Lifetime Imaging Microscopy (FLIM) to characterize spice powders according to particle size variations and correlation with their pigment contents to reveal the chemical information contained within the FLIM data. Ginger powder was used as a representative powder model. The FLIM profiles of the individual samples and populations revealed that FLIM coupled with the phasor approach has the capacity to characterize spice powder according to particle size. Meanwhile, Principal Component Analysis of pre-processed FLIM data revealed clustering of particle size groups. Further correlation analysis between the pigment compound contents and FLIM data of the ginger powders indicated that FLIM reflected chemical information of ginger powder and was able to visualize endogenous fluorophores. The current study revealed the potential of FLIM to characterize ginger powder particles. This approach may be extrapolated to other spice powder products. The new knowledge is a step further in paving the way for the application of innovative techniques, already prevalent in other domains, to food quality and authentication.

Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review

Fluorescence spectroscopy, color imaging and multispectral imaging (MSI) have emerged as effective analytical methods for the non-destructive detection of quality attributes of various white meat products such as fish, shrimp, chicken, duck and goose. Based on machine learning and convolutional neural network, these techniques can not only be used to determine the freshness and category of white meat through imaging and analysis, but can also be used to detect various harmful substances in meat products to prevent stale and spoiled meat from entering the market and causing harm to consumer health and even the ecosystem. The development of quality inspection systems based on such techniques to measure and classify white meat quality parameters will help improve the productivity and economic efficiency of the meat industry, as well as the health of consumers. Herein, a comprehensive review and discussion of the literature on fluorescence spectroscopy, color imaging and MSI is presented. The principles of these three techniques, the quality analysis models selected and the research results of non-destructive determinations of white meat quality over the last decade or so are analyzed and summarized. The review is conducted in this highly practical research field in order to provide information for future research directions. The conclusions detail how these efficient and convenient imaging and analytical techniques can be used for non-destructive quality evaluation of white meat in the laboratory and in industry.

Characterization of Desi Ghee Extracted by Different Methods Using Fluorescence Spectroscopy

In the current study, the effect of ghee extraction methods (direct cream DC, milk butter MB and milk skin MS) on its molecular composition has been investigated using Fluorescence spectroscopy. The excitation wavelength of 300 nm was found the best to produce pronounced spectral signatures of beta-carotene, vitamins and conjugated linoleic acid (CLA) in both cow and buffalo ghee types. Principal component analysis (PCA) has been applied on the spectral data to visualize the classification among ghee samples extracted by three methods. Both cow and buffalo ghee contain spectral signatures of vitamin A, E, K, D and CLA which has been verified through plotting loading vectors. The analysis of loading plots has been suggested that for cow ghee, MS extraction method conserve relatively higher concentration of beta carotene while DC and MB methods are a good choice for preserving relatively more concentrations of vitamins D, E and K. Similarly, for buffalo ghee, MS extraction method appear with higher concentration of CLA, whereas DC extraction method looks to preserve relatively higher concentration of vitamin A while MB method retains relatively low concentration of CLA and vitamins as compared to other two methods.

Electrification of Biotechnology: Status quo

Interfacing microbial, enzymatic, and electrochemical transformations has led to the new field of electrobiotechnology. Among the plethora of applications (including electric energy generation via pollutant removal), the synthesis of chemicals and energy carriers (e.g. H₂) has sparked great interest. The linked transformation of chemical and electric energy may allow the joint utilization of renewable feedstock and sustainable electricity to gain commodities and fuels. The overall field is now referred to as bioelectrosynthesis and is a focus of this book. Starting with the rationale for using bioelectrosynthesis in a bioeconomy, this chapter provides a brief introduction to the field of electrobiotechnology. Subsequently, the chapter discusses the framework for bioelectrosynthesis, which is based on enzymes as well as microorganisms, and provides a definition of bioelectrosynthesis. The chapter concludes with a short overview on the history of the field. Graphical Abstract.