The use of infrared spectroscopy in combination with chemometrics for quality control and authentication of edible fats and oils: A review

Edible fats and oils provide a significant contribution in our diet and daily life, as cooking or frying oil, or as components used in food, pharmaceutical, and cosmetics products. Fats and oils are characterized by specific values, including acid value, saponification value, iodine value, and peroxide value, as well as the oxidation products which occur during storage due to oxidative and hydrolytic deterioration. Currently, due to the high price of edible fats and oils, some unethical producers adulterate high-value edible oils like olive oil with low-priced oils like palm and corn oils; therefore the authentication analysis of edible fats and oils must be assured by introducing reliable and fast methods like infrared spectroscopy. Fourier transform infrared (FTIR) spectroscopy is an ideal technique for monitoring the quality control of fats and oils due to its property as a “fingerprint spectra technique,” which allows analysts to differentiate among fats and oils. FTIR spectra signals of fats and oils are very complex. Fortunately, a statistical technique called chemometrics can be used to handle the complex FTIR spectral data. Chemometrics in combination with FTIR spectroscopy has been widely used in many aspects of monitoring quality control of edible fats and oils including their authenticity.     

Applications of emulsified systems in elemental analysis by spectroanalytical techniques

Emulsified systems are characterized by an immiscible liquid dispersed in another liquid in the form of droplets. These systems can be classified according to the size of the dispersed droplets obtained in coarse emulsions (0.5–50 µm) or microemulsions (0.01–0.10 µm). These systems have several properties that make them interesting in several fields of technology, and the emulsion formed by oil droplets dispersed in an aqueous phase (O/A) is the most used in analytical determinations due to its low viscosity and organic load. This paper discusses the characteristics of emulsified systems, their obtention, stabilization, properties and use in the development of analytical methods for elemental analysis in matrices with high organic content such as oils, fatty foods and fuel matrices.     

Solid-stabilized emulsion formation using stearoyl lactylate coated iron oxide nanoparticles

Iron oxide nanoparticles can exhibit highly tunable physicochemical properties that are extremely important in applications such as catalysis, biomedicine and environmental remediation. The small size of iron oxide nanoparticles can be used to stabilize oil-in-water Pickering emulsions due to their high energy of adsorption at the interface of oil droplets in water. The objective of this work is to investigate the effect of the primary particle characteristics and stabilizing agent chemistry on the stability of oil-in-water Pickering emulsions. Iron oxide nanoparticles were synthesized by the co-precipitation method using stoichiometric amounts of Fe²⁺ and Fe³⁺ salts. Sodium stearoyl lactylate (SSL), a Food and Drug Administration approved food additive, was used to functionalize the iron oxide nanoparticles. SSL is useful in the generation of fat-in-water emulsions due to its high hydrophilic–lipophilic balance and its bilayer-forming capacity. Generation of a monolayer or a bilayer coating on the nanoparticles was controlled through systematic changes in reagent concentrations. The coated particles were then characterized using various analytical techniques to determine their size, their crystal structure and surface functionalization. The capacity of these bilayer coated nanoparticles to stabilize oil-in-water emulsions under various salt concentrations and pH values was also systematically determined using various characterization techniques. This study successfully demonstrated the ability to synthesize iron oxide nanoparticles (20–40 nm) coated with SSL in order to generate stable Pickering emulsions that were pH-responsive and resistant to significant destabilization in a saline environment, thereby lending themselves to applications in advanced oil spill recovery and remediation.     

基于荧光光谱的轻质油乳化物油水比估测研究

海面溢油在其风化迁移过程中,会形成不同溢油乳化物,对海洋环境造成极大危害。科学量化溢油乳化物,有助于溢油污染应急处理和灾损评估。已有对溢油乳化物展开的研究由于缺乏系统的实验数据、理化与光学参数,尚不清楚不同类型油水乳化物的精细光谱响应特征与变化规律,无法给出不同类型溢油乳化物光谱与海水表层油水比的数据关系。通过轻质油乳化物的室内实验,采用激光诱导荧光技术手段,从不同类型,不同表层油水比的溢油乳化物荧光光谱响应差异和变化规律入手,以乳化柴油相关数据作建模样本,乳化煤油相关数据作验证样本,开展统计分析,并分别设计了油包水、水包油两种类型下的表层油水比估测模型。数据处理过程中,为了消除LIF系统本身对接收到的荧光信号强度的影响,利用水的拉曼散射信号对乳化液的荧光信号进行归一化处理,将两者的比值作为后续的分析数据。具体数据研究表明：油包水型乳化溢油的荧光峰值对数和表层含水率对数之间可建立非线性回归模型;水包油型乳化溢油的荧光峰值和表层含水率之间也可建立非线性回归模型。非线性拟合相关系数均在0.9以上,即模型具有较高质量,且模型中的实际系数依赖于不同油种,不同的特征荧光峰。由此可见,不同乳化油种的不同特征荧光峰与表层油水比之间虽具有相同的变化趋势,但变化的程度有所不同。在此基础上,采用参数查找表的方式,建立了轻质油乳化物油水比的估测方法,可根据荧光相对强度最后反演得到表层油水比。该方法在一定程度上可对海面轻质油乳化物实现有效量化,为将来海面溢油乳化物更加实时准确的定量分析提供理论基础和依据, 也为海面溢油污染应急处理提供技术参考,因此具有重要研究意义和实用价值。     

New Raman Spectroscopic Data of the Almahata Sitta Meteorite

The archaeological site of Pintia (Padilla de Duero/Peñafiel, Valladolid), considered one of the first cities on the Iberian Peninsula, has yielded very interesting archaeological records regarding the different functional areas that involve the oppidum. Pottery, metal, and bone/skeletal remains are very well preserved, being optimal for analysis and study of the ancient food contained, such as milk-based products, animal fats, beer, and wine. The combination of Raman Microscopy (RM) with other analytical techniques such as Light Microscopy (LM) and Environmental Scanning Electron Microscopy equipped with Energy Dispersive X-ray Spectroscopy (ESEM-EDX) becomes a powerful tool to obtain information on the possible content in the ceramic receptacles from historical-archaeological heritage. It can lead to an interpretation of their specific use or functionality. In this work, a unique sample preparation was used for all techniques, which lead to a very simple procedure and documentation. The degradation and aging of natural fibers and the presence of organic matter with low crystallinity and calcium oxalate–related residuals can be studied by these combined techniques. The archaeological residuals can be separated from modern contamination coming from agriculture processes, surrounding land minerals, or fresh vegetal matter.     

Effect of high hydrostatic pressure and high dynamic pressure on stability and rheological properties of model oil-in-water emulsions

Both static and dynamic high pressure applications provide interesting modifications in food structures which lead to new product formulations. In this study, the effects of two different treatments, high hydrostatic pressure (HHP) and high dynamic pressure (HDP), on oil-in-water emulsions were identified and compared. Microfluidization was selected from among the HDP homogenization techniques. The performance of each process was analyzed in terms of rheological modifications and emulsion stability improvements compared with the coarse emulsions. The stability of the emulsions was determined comparatively by using an analytical photo-centrifuge device employing novel analysis technology. Whey protein isolate (WPI) in combination with a food polysaccharide (xanthan gum, guar gum or locust bean gum) were used as emulsifying and stabilizing ingredients. The effective disruption of oil droplets and the degradation of polysaccharides by the shear forces under high pressure in HDP microfluidization yielded finer emulsions with lower viscosities, leading to distinctive improvements in emulsion stability. On the other hand, improvements in stability obtained with HHP treatment were due to the thickening of the emulsions mainly induced by protein unfolding. The corresponding increases in viscosity were intensified in emulsion formulations containing higher oil content. Apart from these, HHP treatment was found to be relatively more contributive to the enhancements in viscoelastic properties.     

Overview of catalytic methods for production of next generation biodiesel from natural oils and fats

Production of biodiesel from natural oils and fats can be achieved using various technologies briefly discussed in this review. A particular appealing concept for production of green diesel is selective catalytic deoxygenation of renewables leading to diesel fuel products. This reaction can be performed over Pd on active carbon supports with saturated and unsaturated fatty acids and their derivatives.     

Sustainable emerging high-intensity sonication processing to enhance the protein bioactivity and bioavailability: An updated review

High-intensity ultrasound (HIU) is considered one of the promising non-chemical eco-friendly techniques used in food processing. Recently (HIU) is known to enhance food quality, extraction of bioactive compounds and formulation of emulsions. Various foods are treated with ultrasound, including fats, bioactive compounds, and proteins. Regarding proteins, HIU induces acoustic cavitation and bubble formation, causing the unfolding and exposure of hydrophobic regions, resulting in functional, bioactive, and structural enhancement. This review briefly portrays the impact of HIU on the bioavailability and bioactive properties of proteins; the effect of HIU on protein allergenicity and anti-nutritional factors has also been discussed. HIU can enhance bioavailability and bioactive attributes in plants and animal-based proteins, such as antioxidant activity, antimicrobial activity, and peptide release. Moreover, numerous studies revealed that HIU treatment could enhance functional properties, increase the release of short-chain peptides, and decrease allergenicity. HIU could replace the chemical and heat treatments used to enhance protein bioactivity and digestibility; however, its applications are still on research and small scale, and its usage in industries is yet to be implemented.     

Analysis of Argan Oil Adulteration Using Infrared Spectroscopy

The determination of argan oil adulteration by other vegetable oils is a real analytical challenge. The authentication of argan oil needs fast and simple analytical techniques for quality control and testing. This study focuses on the detection and quantification of argan oil adulteration with different edible oils, using midinfrared spectroscopy with chemometrics. Chemometric treatment of MIR spectra has been assessed for the classification and quantification of argan oil adulteration with sunflower or soybean oils. The potential of MID spectroscopy combined with partial least squares regression (PLS) as a rapid analytical technique for the quantitative determination of adulterants in argan oil has been demonstrated. A PLS model has been established to predict the concentration of soybean and sunflower oil as adulterants in the calibration range between 0% and 30% (w/w) in argan oil with good prediction performances in the external validation.     

植物油和动物脂肪在THz波段的吸收和色散

由超短激光脉冲产生的THz脉冲是具有较宽频带的电磁辐射，属于远红外波段，该波段电磁波与物质的相互作用是个崭新的研究领域.文章应用THz光谱技术研究了5种植物油和两种动物脂肪的THz光谱，得到了这些材料在0．2—1．6THz频率范围的折射率和吸收系数.结果表 明，不同种类的油脂具有不同的折射率，其中植物油的折射率随频率的增加而略有降低，其 值在1．46—1．66之间.吸收系数在0．2—1．2THz随频率的增加而增大.动物脂肪的折射率 随频率变化基本不变，并且随温度升高而增大，其值在1．4—1．52之间.吸收系数在0．2— 1．2THz随频率的增加而增大.该研究结果对于THz时域光谱技术应用于生物成像及生物医学 有重要的意义. 关键词： THz光谱技术 折射率 吸收系数 植物油 动物脂肪     

食用植物油中反式脂肪酸含量的激光拉曼光谱检测

油脂中的反式脂肪酸(TFA)有害人们的身体健康,有必要对其含量进行监测。共收集各类食用植物油样本79个,涉及9个品种和27个品牌,分配到校正集和预测集的样本数分别为53个和26个。采用QE65000拉曼光谱仪采集79个样本的拉曼光谱,利用自适应迭代惩罚最小二乘法去除样本拉曼光谱的荧光背景;在此基础上,采用多种归一化方法对样本拉曼光谱进行处理,并对拉曼光谱的建模波数范围进行初选;再利用竞争性自适应重加权采样(CARS)方法筛选与食用植物油TFA含量相关的光谱变量,并应用偏最小二乘(PLS)回归将食用植物油TFA的特征变量光谱强度与气相色谱测定的TFA真实含量进行关联,建立食用植物油中TFA含量的定量预测模型。研究结果表明,多种归一化方法中,有4种归一化方法均能提高PLS定量预测模型的性能,其中Area normalization方法的效果最优;经建模波数范围初选,波数范围由686~2 301 cm-1缩减为737~1 787 cm-1,确定较优的建模波数范围为737~1 787 cm-1;经CARS方法筛选,共有31个光谱变量被选择,其选择的光谱变量主要分布在1 265,1 303,1 442及1 658 cm-1拉曼振动峰附近,且974 cm-1拉曼振动峰两侧均有光谱变量被选择;此外,CARS方法的PLS建模结果优于常用的无信息变量消除及连续投影算法。由此可知,激光拉曼光谱技术结合化学计量学方法检测食用植物油中的TFA含量是可行的。归一化方法、建模波数范围初选及竞争性自适应重加权采样(CARS)方法能有效提高TFA定量预测模型的预测精度和稳定性,优化后的TFA定量预测模型的校正集及预测集的相关系数和均方根误差分别为0.949,0.953和0.188%,0.191%。与未优化的预测模型相比,预测均方根误差由0.361%下降为0.191%,下降幅度为47.1%;建模所用的变量数由683个下降为31个,仅占原变量数的4.54%。     

红外光谱的陆生动物油脂中反刍动物成分鉴别分析

为有效应对违法掺加导致的饲料安全隐患,完善饲用油脂的高效检测手段,满足饲料质量安全的监管需求,以来源可靠的不同种属动物油脂为研究对象,通过在非反刍动物油脂中掺加不同比例（1%,5%,10%,20%,30%和40% W/W）的反刍动物油脂获得试验样品,首次系统应用傅里叶变换红外光谱结合化学计量学方法探讨了陆生动物油脂中掺加反刍成分的鉴别分析方法与模型。研究表明基于掺加比例1%～40%样品集,偏最小二乘判别分析模型正确判别率为100%,无假阳性和假阴性样品;进一步研究发现,基于陆生动物油脂中反刍成分低掺加比例0.1%～40%,0.2%～40%,0.4%～40%,0.6%～40%和0.8%～40%样品集,偏最小二乘判别分析模型的正确判别率均低于100%。且随着最低掺加比例的降低,假阳性与假阴性样品数明显增多,其正确判别率逐步降低。因此,陆生动物油脂中掺加反刍成分判别分析检量限约为1%;进一步通过脂肪酸组成与差异性分析、红外光谱特征波段和特征化学键对比分析探讨其判别分析机理。非反刍动物油脂光谱3 006 cm-1处吸收峰（代表=C-H(cis-)的拉伸振动）和914 cm-1处吸收峰（代表=HC=CH-(cis-)的弯曲振动）明显高于反刍动物油脂样品,主要表征了顺式脂肪酸和不饱和脂肪酸的显著差异。非反刍动物油脂光谱965 cm-1处吸收峰（代表-HC=CH-(trans-)的弯曲振动）明显低于反刍动物油脂样品,主要表征了反式脂肪酸和饱和脂肪酸的显著差异。掺加比例为1%的混合样品中反式C=C键含量显著高于其他低掺加比例的样品,而不同掺加比例样品的顺式C=C键含量和C-H(-CH₂-)键含量均无显著性差异。因此,基于红外光谱的陆生动物油脂中反刍动物成分鉴别分析主要是基于反式C=C键结构的信息表征。综上所述,红外光谱可作为一种兼顾检测效率与检测精度的技术应用于陆生动物油脂中反刍成分的鉴别分析。     

Correlation of porous and functional properties of food materials by NMR relaxometry and multivariate analysis

The porous properties of food materials are known to determine important macroscopic parameters such as water-holding capacity and texture. In conventional approaches, understanding is built from a long process of establishing macrostructure-property relations in a rational manner. Only recently, multivariate approaches were introduced for the same purpose. The model systems used here are oil-in-water emulsions, stabilised by protein, and form complex structures, consisting of fat droplets dispersed in a porous protein phase. NMR time-domain decay curves were recorded for emulsions with varied levels of fat, protein and water. Hardness, dry matter content and water drainage were determined by classical means and analysed for correlation with the NMR data with multivariate techniques. Partial least squares can calibrate and predict these properties directly from the continuous NMR exponential decays and yields regression coefficients higher than 82%. However, the calibration coefficients themselves belong to the continuous exponential domain and do little to explain the connection between NMR data and emulsion properties. Transformation of the NMR decays into a discreet domain with non-negative least squares permits the use of multilinear regression (MLR) on the resulting amplitudes as predictors and hardness or water drainage as responses. The MLR coefficients show that hardness is highly correlated with the components that have T2 distributions of about 20 and 200 ms whereas water drainage is correlated with components that have T2 distributions around 400 and 1800 ms. These T2 distributions very likely correlate with water populations present in pores with different sizes and/or wall mobility. The results for the emulsions studied demonstrate that NMR time-domain decays can be employed to predict properties and to provide insight in the underlying microstructural features.     

Influence of bleaching by ultrasound on fatty acids and minor compounds of olive oil. Qualitative and quantitative analysis of volatile compounds (by SPME coupled to GC/MS)

The effects of bleaching using high power ultrasound (20 kHz) on the quality of olive oil were considered in this study, in order to verify the modifications that can occur in fatty acid composition and minor compounds. During the treatment of olive oil under ultrasonic waves, a rancid odour has been detected. Treated olive oils show no significant changes in their chemical composition but the presence of some volatile compounds, due to ultrasonic treatment. Some off-flavour compounds (hexanal, hept-2-enal and 2(E),4(E)-decadienal) resulting from the sonodegradation of olive oil have been identified. A wide variety of analytical techniques (GLC, HPLC and GC/MS) were used to follow the quality of bleached olive oils with ultrasonic waves by the determination of the amounts of certain minor compounds such as sterols and tocopherols. Steradienes, resulting from the dehydration of sterols, were detected with small quantities especially in severe conditions of sonication. Solid phase micro-extraction (SPME) coupled to gas chromatography was known to be a sensitive technique to follow changes in the oxidative state of vegetable oils by measuring the amount of volatile materials produced during the refining process.     

以香草素为内标之气相层析光谱法定量牛樟木精油指标成分松油醇的快速分析方法

牛樟精油具有独特浓郁的香气,其中以α-松油醇(α-terpineol)为牛樟精油主要成分。由于樟树精油制品可依种类、变种、亚种等不同而有不同成分,以松油醇最具独特性,可作为牛樟木精油品质重要指标成分,应用以区别牛樟树与冇樟以及香樟等木材精油的方法,因此建立市售牛樟木精油指标成分α-松油醇含量的简便快速又准确的检验方法便有其必要性。该研究拟以市售精油液体样品,不经任何前处理,加入适当之内标准溶液溶解后,直接注入气相层析光谱仪中,配合适当的分离管柱及气相层析条件,以期建立简便快速又准确的牛樟木精油指标成分α-松油醇之定量方法。毛细管柱气相层析具有高解析度及高灵敏度等优点,仍为现代最重要分析技术之一,因此研究建立了以香草素为内标准定量牛樟木精油指标成分α-松油醇(α-terpineol)之气相色谱层析法的快速分析方法。牛樟木精油液体样品,加入适当量之香草素内标准溶液混合溶解后,即可直接注入配有广口径之毛细管柱(megabore column)气相色谱仪中分析,相当简便,每分析一个样品仅需约30 min。结果显示松油醇之最低定量浓度（limit of quantitation, LOQ）为1 μg·mL-1左右。在添加回收试验中添加松油醇1.0及10.0 mg 于市售冇樟精油及牛樟精油中,其回收率在98%~103%,变异系数均在10.8%以下,显示该方法的精密度相当高。以该研究建立的方法分析15件市售牛樟精油中松油醇含量,结果显示,市售牛樟木精油的松油醇含量最高约51.6%及最低为21.3%左右,此结果显示以定量松油醇作为市售牛樟精油品质指标是一快速、准确且可行的方法。     

Influence of Lanolin and White Soft Paraffin on the Determination of Vitamin a in Fats

Pharmaceutical interaction of the most frequently used substances with fats: lanolin, white soft paraffin and vitamin A palmitate was studied. The mixtures were examined by TLC with different ratios of lanolin and vitamin A palmitate, and white soft paraffin and vitamin A palmitate. Vitamin A in the mixtures was determined by the UV spectrophotometric method according to BP 93. It was established that the rise of lanolin concentration resulted in an increased apparent content of vitamin A in fats as a consequence of lanolin absorption at the wave length of maximum absorption of vitamin A. By an increase of white soft paraffin concentration, an apparent decreased in the content of vitamin A in fats was obtained. Therefore, the suggested UV spectrophotometric method for vitamin A determination has a limited application on fats with high content of lanolin and white soft paraffin.     

Deterioration of edible oils during food processing by ultrasound

During food emulsification and processing of sunflower oil (most used edible oil), a metallic and rancid odour has been detected only for insonated oil and foods. Some off-flavour compounds (hexanal and hept-2-enal) resulting from the sono-degradation of sunflower oil have been identified. A wide variety of analytical techniques (GC determination of fatty acids, UV spectroscopy, free fatty acids and GC/MS) were used to follow the quality of insonated sunflower oil and emulsion. Different edible oils (olive, sunflower, soybean, em leader ) show significant changes in their composition (chemical and flavour) due to ultrasound treatment.     

NMR properties of petroleum reservoir fluids

NMR well logging of petroleum reservoir require the measurement of the NMR response of water, oil, and gas in the pore space of rocks at elevated temperatures and pressures. The viscosity of the oil may range from less than 1 cp to greater than 10,000 cp. Also, the oil and gas are not a single component but rather a broad distribution of components. The log mean T1 and T2 relaxation time of dead (gas free) crude oils are correlated with viscosity/temperature and Larmor frequency. The relaxation time of live oils deviate from the correlation for dead crude oils. This deviation can be correlated with the methane content of the oil. Natural gas in the reservoir has components other than methane. Mixing rules are developed to accommodate components such as ethane, propane, carbon dioxide, and nitrogen. Interpretation of NMR logs uses both relaxation and diffusion to distinguish the different fluids present in the formation. Crude oils have a broad spectrum of components but the relaxation time distribution and diffusion coefficient distribution are correlated. This correlation is used to distinguish crude oil from the response of water in the pores of the rock. This correlation can also be used to estimate viscosity of the crude oil.     

Nondestructive analysis of single rapeseeds by means of Raman spectroscopy

The value of different vegetable oils can be correlated with the content of polyunsaturated fatty acids, especially omega‐3‐fatty acids such as linolenic acid, because of their contribution to healthy nutrition. One expression for the degree of unsaturation is the iodine value normally measured with gas chromatography. The use of Raman spectroscopy allows a rapid calculation of the iodine value and, in addition, only in a minimal sample volume. Therefore, this method can be used in single rapeseeds in order to predict the iodine value before harvesting. Additionally, the method can also be used for breeding investigations. Here, the lipid content and composition of a plant can be predicted by measuring the seedling without destruction. Copyright © 2006 John Wiley & Sons, Ltd.     

核磁共振分析技术在石化领域中的应用

运用高分辨核磁共振技术解决了许多难以使用其他仪器方法测定的石化产品或催化材料的结构及组成分析问题. 分析实验表明,核磁共振技术在石化工业发展中已经成为强有力的研究分析工具.