Development and Validation of a Simple Method to Quantify Contents of Phospholipids in Krill Oil by Fourier-Transform Infrared Spectroscopy

Recent advances in photoelectric methods application for cooking oil quality and safety evaluation: a review

Cooking oil is used daily in consumed food and culinary applications; therefore, its safety and quality are very important. Notably, susceptibility to contamination at each processing stage poses threats to living organisms. This review discusses the parameters of oil quality, as well as the role of the various non-destructive photoelectric techniques with respect to its quality and safety, including near-infrared spectroscopy (NIR), mid-infrared spectroscopy, Fourier transform near-infrared spectroscopy, Raman spectroscopy and fluorescence spectroscopy. Data on cooking oil quality, such as values of the following parameters, notably peroxides, thiobarbituric acid, anisidine, iodine, trans-fat and fatty acid profile, carbonyl compounds, adulteration and total polar components, are also demonstrated. Photoelectric methods are rapid and efficient tools for the preliminary screening of cooking oil when aiming to determine its quality before its entry into the food chain. Primarily, NIR has been used to predict most of the cooking oil safety and quality parameters, and thus is considered as the most convenient non-destructive method to be recommended. Accordingly, deep insight into state-of-the-art photoelectric/spectral technologies and the varieties of techniques available provides an opportunity to detect and predict the safety parameters of products prior to their processing and distribution. In this review, we highlight these perspectives with particular emphasis on the cooking oil. © 2025 Society of Chemical Industry.

Molecular and energetic analysis of the interaction and specificity of Maximin 3 with lipid membranes: In vitro and in silico assessments

In this study, the interaction of antimicrobial peptide Maximin 3 (Max3) with three different lipid bilayer models was investigated to gain insight into its mechanism of action and membrane specificity. Bilayer perturbation assays using liposome calcein leakage dose-response curves revealed that Max3 is a selective membrane-active peptide. Dynamic light scattering recordings suggest that the peptide incorporates into the liposomal structure without producing a detergent effect. Langmuir monolayer compression assays confirmed the membrane inserting capacity of the peptide. Attenuated total reflection-Fourier transform infrared spectroscopy showed that the fingerprint signals of lipid phospholipid hydrophilic head groups and hydrophobic acyl chains are altered due to Max3-membrane interaction. On the other hand, all-atom molecular dynamics simulations (MDS) of the initial interaction with the membrane surface corroborated peptide-membrane selectivity. Peptide transmembrane MDS shed light on how the peptide differentially modifies lipid bilayer properties. Molecular mechanics Poisson-Boltzmann surface area calculations revealed a specific electrostatic interaction fingerprint of the peptide for each membrane model with which they were tested. The data generated from the in silico approach could account for some of the differences observed experimentally in the activity and selectivity of Max3.

Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures

Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead to delays in receiving appropriate treatment. Mid infrared (IR) spectroscopy is capable of measuring the concentrations of two diagnostic nRDS biomarkers, lecithin (L) and sphingomyelin (S) with the potential for point of care (POC) diagnosis and monitoring. The effects of varying other lipid species present in lung surfactant on the mid IR spectra used to train machine learning models are explored. This study presents a lung lipid model of five lipids present in lung surfactant and varies each in a systematic approach to evaluate the ability of machine learning models to predict the lipid concentrations, the L/S ratio and to quantify the uncertainty in the predictions using the jackknife + -after-bootstrap and variant bootstrap methods. We establish the L/S ratio can be determined with an uncertainty of approximately ±0.3 mol/mol and we further identify the 5 most prominent wavenumbers associated with each machine learning model.

The characteristics and biological activity enhancements of melatonin encapsulations for skin care product applications

Melatonin (MLT) exhibits antioxidant, ultraviolet protection, anti-inflammatory, and anti-aging properties. However, its effectiveness is limited by instability, a short half-life, and incompatible absorption. In this research, we encapsulated melatonin (MLT) in transfersomes (MT) and niosomes (MN) to enhance their properties and investigate their effects through in vitro cell assays using murine macrophages cells and human foreskin fibroblasts cells. The vesicle morphology, vesicle size, polydispersity index, zeta potential, entrapment efficiency (EE%), attenuated total reflectance-Fourier transform spectroscopy (ATR-FTIR) spectra, along with in vitro release, permeation profiles, and stability study were also evaluated. The results showed that both encapsulations displayed spherical morphology at the nanometric scale, their great physical stability and provided an EE% range of 58-78%. The MLT incorporation into the vesicle was confirmed by the ATR-FTIR spectra. Additionally, the encapsulation' release profiles fitted with the Higuchi model, indicating controlled release of melatonin. Furthermore, MT showed greater permeability than MN and MS including melatonin deposition. In cell assays, MT exhibited significantly higher nitric oxide inhibition and stimulation of collagen compared to MN and MS. Therefore, MT demonstrated the highest possibility for anti-inflammatory and collagen-stimulating activities that could be applied in pharmaceutical or anti-aging cosmetic products.

Green synthesis of nanolipo-fibersomes using Nutriose® FB 06 for delphinidin-3-O-sambubioside delivery: Characterization, physicochemical properties, and application

Anthocyanins are potential bioactive compounds with less bioavailability due to instability in physicochemical and physiological harsh environments. This study synthesized a "nanolipo-fibersomes (NLFS)" using Lipoid® S75 and Nutriose® FB 06 (dextrinization of wheat starch) through a self-assembly technique with probe sonication. We aimed to encapsulate delphinidin-3-O-sambubioside (D3S) successfully and evaluate physicochemical and controlled release properties with improved antioxidant activity on palmitic acid (PA)-induced colonic cells (Caco-2 cells). D3S-loaded nanolipo-fibersomes (D3S-NLFS) were nanosized (<150 nm), spherical shaped, and homogenously dispersed in solution with promising encapsulation efficiency (~ 89.31 to 97.31 %). Particles formation was further verified by FTIR. NLFS were well-stable in thermal, storage, and gastrointestinal mimic environments. NLFS exhibited better-controlled release and mucoadhesive properties compared to nanoliposomes (NL). The NLFS showed better cellular uptake than NL, which was correlated to higher mucoadhesive properties. Furthermore, D3S-NLFS exhibited promising protective effects against PA-induced cytotoxicity, O2•- radicals generation, mitochondrial dysfunctions, and GSH depletion, while the free D3S was ineffective. Among D3S-loaded nanoparticles, D3S-NLFS 3 was the most efficient nanocarrier followed by D3S-NLFS 2, D3S-NLFS 1, and D3S-NL, respectively. The above data suggest that nanolipo-fibersomes can be considered as promising nanovesicles for improving colonic delivery of hydrophilic compounds with controlled release properties and greater antioxidant activity.

Detection and Quantification of Adulteration in Krill Oil with Raman and Infrared Spectroscopic Methods

Raman and infrared spectroscopy, used as individual and low-level fused datasets, were evaluated to identify and quantify the presence of adulterants (palm oil, PO; ω-3 concentrates in ethyl ester, O3C and fish oil, FO) in krill oil. These datasets were qualitatively analysed with principal component analysis (PCA) and classified as adulterated or unadulterated using support vector machines (SVM). Using partial least squares regression (PLSR), it was possible to identify and quantify the adulterant present in the KO mixture. Raman spectroscopy performed better (r² = 0.98; RMSEP = 2.3%) than IR spectroscopy (r² = 0.91; RMSEP = 4.2%) for quantification of O3C in KO. A data fusion approach further improved the analysis with model performance for quantification of PO (r² = 0.98; RMSEP = 2.7%) and FO (r² = 0.76; RMSEP = 9.1%). This study demonstrates the potential use of Raman and IR spectroscopy to quantify adulterants present in KO.

Marine Fish-Derived Lysophosphatidylcholine: Properties, Extraction, Quantification, and Brain Health Application

Long-chain omega-3 fatty acids esterified in lysophosphatidylcholine (LPC-omega-3) are the most bioavailable omega-3 fatty acid form and are considered important for brain health. Lysophosphatidylcholine is a hydrolyzed phospholipid that is generated from the action of either phospholipase PLA1 or PLA2. There are two types of LPC; 1-LPC (where the omega-3 fatty acid at the sn-2 position is acylated) and 2-LPC (where the omega-3 fatty acid at the sn-1 position is acylated). The 2-LPC type is more highly bioavailable to the brain than the 1-LPC type. Given the biological and health aspects of LPC types, it is important to understand the structure, properties, extraction, quantification, functional role, and effect of the processing of LPC. This review examines various aspects involved in the extraction, characterization, and quantification of LPC. Further, the effects of processing methods on LPC and the potential biological roles of LPC in health and wellbeing are discussed. DHA-rich-LysoPLs, including LPC, can be enzymatically produced using lipases and phospholipases from wide microbial strains, and the highest yields were obtained by Lipozyme RM-IM®, Lipozyme TL-IM®, and Novozym 435®. Terrestrial-based phospholipids generally contain lower levels of long-chain omega-3 PUFAs, and therefore, they are considered less effective in providing the same health benefits as marine-based LPC. Processing (e.g., thermal, fermentation, and freezing) reduces the PL in fish. LPC containing omega-3 PUFA, mainly DHA (C22:6 omega-3) and eicosapentaenoic acid EPA (C20:5 omega-3) play important role in brain development and neuronal cell growth. Additionally, they have been implicated in supporting treatment programs for depression and Alzheimer’s. These activities appear to be facilitated by the acute function of a major facilitator superfamily domain-containing protein 2 (Mfsd2a), expressed in BBB endothelium, as a chief transporter for LPC-DHA uptake to the brain. LPC-based delivery systems also provide the opportunity to improve the properties of some bioactive compounds during storage and absorption. Overall, LPCs have great potential for improving brain health, but their safety and potentially negative effects should also be taken into consideration.