超声波强化提取对茯苓水溶性多糖结构影响的研究

以茯苓菌核为原料,采用正交实验法确定超声波辅助热水浸提茯苓水溶性多糖的最佳提取条件,并对超声波辅助提取中药多糖的机理进行初步研究。用苯酚硫酸法测定糖含量,傅立叶变换红外光谱仪(FTIR)分析糖类官能团,气相色谱法测定单糖组成,原子力显微镜观察多糖结构,并将测定结果与传统热水法浸提所得茯苓多糖进行对比。实验结果表明:采用超声波辅助热水浸提可以使水溶性茯苓多糖的提取率达到2.71%(传统热水浸提法提取率为1.49%),传统热水浸提得茯苓多糖(PPTH)与超声波辅助热水浸提得茯苓多糖(PPUH)具有相同的单糖组成,都包含核糖、木糖、甘露糖、果糖、半乳糖和葡萄糖,二者的红外吸收谱也基本相同,原子力显微镜扫描分析显示,PPTH整体呈现网状结构,而PPUH主要以长短不一的近棒状结构存在。     

Green ultrasound-assisted extraction of carotenoids from pomegranate wastes using vegetable oils

The objective of this work was to develop a new process for pomegranate peels application in food industries based on ultrasound-assisted extraction of carotenoids using different vegetable oils as solvents. In this way, an oil enriched with antioxidants is produced. Sunflower oil and soy oil were used as alternative solvents and the effects of various parameters on extraction yield were studied. Extraction temperature, solid/oil ratio, amplitude level, and extraction time were the factors investigated with respect to extraction yield. Comparative studies between ultrasound-assisted and conventional solvent extraction were carried out in terms of processing procedure and total carotenoids content. The efficient extraction period for achieving maximum yield of pomegranate peel carotenoids was about 30 min. The optimum operating conditions were found to be: extraction temperature, 51.5 °C; peels/solvent ratio, 0.10; amplitude level, 58.8%; solvent, sunflower oil. A second-order kinetic model was successfully developed for describing the mechanism of ultrasound extraction under different processing parameters.     

基于共聚焦拉曼光谱技术的油菜菌核病早期判别分析

油菜菌核病是一种真菌性病害,可造成油菜产量严重减少,而快速准确地进行病原物的早期侵染对于植物病害防治意义重大。采用共聚焦拉曼光谱(500～2 000 cm-1波数范围内)技术结合化学计量学方法对油菜菌核病早期侵染进行判别分析。采用共聚焦拉曼光谱仪采集健康和接种12 h核盘菌的油菜叶片表面拉曼光谱,应用小波变换(wavelet transform,WT)进行拉曼光谱预处理以去除荧光背景。并利用基于全谱范围的偏最小二乘判别分析(partial least squares-discriminant analysis,PLS-DA)的回归系数(regression coefficient,RC)进行特征峰的识别,选出983,1 001,1 205,1 521,1 527,1 658,1 670和1 758 cm-1共八个特征峰用于建立PLS-DA模型进行油菜菌核病的早期侵染判别,其识别准确率为100%。结果表明：拉曼光谱技术结合化学计量学方法能够实现油菜叶片中菌核病早期侵染的检测,这为后续探究核盘菌与油菜叶片互作过程以及为进一步的病害早期监测和预防提供理论参考。     

Effects of ultrasound on the structural and functional properties of sheep bone collagen

The study evaluated the effect of an ultrasound-assisted treatment on the structural and functional properties of sheep bone collagen (SBC). The type and distribution of SBC were analyzed by proteome (shotgun) technology combined with liquid chromatography-tandem mass spectrometry. Compared with pepsin extraction, the ultrasound-assisted treatment significantly increased the collagen extraction rate by 17.4 pp (P < 0.05). The characteristic functional groups and structural integrity of collagen extracted by both methods were determined via Fourier transform infrared spectroscopy, ultraviolet absorption spectroscopy, and fluorescence spectroscopy. Circular dichroism spectra revealed that the ultrasound-assisted pretreatment reduced α-helix content by 1.6 pp, β-sheet content by 21.9 pp, and random coils content by 28.4 pp, whereas it increased β-turn content by 51.9 pp (P < 0.05), compared with pepsin extraction. Moreover, ultrasound-assisted treatment collagen had superior functional properties (e.g., solubility, water absorption, and oil absorption capacity) and foaming and emulsion properties, compared with pepsin extraction. Furthermore, the relative content of type I collagen in ultrasound-assisted extracted SBC was highest at 79.66%; only small proportions of type II, VI, X, and XI collagen were present. Peptide activity analysis showed that SBC had potential antioxidant activity, dipeptidyl peptidase 4 inhibitory activity, and angiotensin-converting enzyme inhibitory activity; it also had anticancer, antihypertensive, anti-inflammatory, and immunomodulatory effects.     

基于近红外光谱技术的油菜叶片丙二醛含量快速检测方法研究

应用近红外光谱技术实现了油菜叶片中丙二醛(MDA)含量的快速无损检测.对90个油菜叶片样本进行光谱扫描,用60个样本建模,30个样本验证.经过平滑、变量标准化、一阶及二阶求导、去趋势等预处理后,建市了MDA预测的偏最小二乘法(PLS)模型.将PLS提取的有效特征变馈(LV)和连续投影算法(SPA)提取的有效波长作为最小二乘-支持向量机(LS-SVM)的输入变量,分别建立了LV-LS-SVM和SPA-LS-SVM模型.以预测集的预测相关系数(r),预测标准偏差(RMSEP)作为模型评价指标.结果表明,油菜叶片中MDA含量预测的最优模型为LV-LS-SVM模型,LV-LS-SVM在去趋势处理后的预测效果为r=0.999 9,RMSEP=0.530 2;在二阶求导处理后的预测效果为r=0.999 9,RMSEP=0.395 7.说明应用光谱技术检测油菜叶片中MDA的含最是可行的,并能获得满意的预测精度,为油菜大田生长状况的动态连续监测提供了新的方法.     

High-intensity ultrasound-based process strategies for obtaining edible sunflower (Helianthus annuus L.) flour with low-phenolic and high-protein content

The sunflower Helianthus annuus L. represents the 4th largest oilseed cultivated area worldwide. Its balanced amino acid content and low content of antinutrient factors give sunflower protein a good nutritional value. However, it is underexploited as a supplement to human nutrition due to the high content of phenolic compounds that reduce the sensory quality of the product. Thus, this study aimed at obtaining a high protein and low phenolic compound sunflower flour for use in the food industry by designing separation processes with high intensity ultrasound technology. First, sunflower meal, a residue of cold-press oil extraction processing, was defatted using supercritical CO₂ technology. Subsequently, sunflower meal was subjected to different conditions for ultrasound-assisted extraction of phenolic compounds. The effects of solvent composition (water: ethanol) and pH (4 to 12) were investigated using different acoustic energies and continuous and pulsed process approaches. The employed process strategies reduced the oil content of sunflower meal by up to 90% and reduced 83% of the phenolic content. Furthermore, the protein content of sunflower flour was increased up to approximately 72% with respect to sunflower meal. The acoustic cavitation-based processes using the optimized solvent composition were efficient in breaking down the cellular structure of the plant matrix and facilitated the separation of proteins and phenolic compounds, while preserving the functional groups of the product. Therefore, a new ingredient with high protein content and potential application for human food was obtained from the residue of sunflower oil processing using green technologies.     

Utilization of natural deep eutectic solvents and ultrasound-assisted extraction as green extraction technique for the recovery of bioactive compounds from date palm (Phoenix dactylifera L.) seeds: An investigation into optimization of process parameters

The green extraction of bioactive compounds from date seeds was investigated using seven natural deep eutectic solvents (NADES) coupled with ultrasound-assisted extraction (UAE). The seven NADESs mainly consisted of choline chloride as hydrogen bond acceptors (HBA) and four sugars, two organic acids, and one polyalcohol as hydrogen bond donors (HBD) were utilized in this study. When the extraction efficiency of the NADESs was compared to that of the conventional solvents, all the NADESs showed superior bioactive compounds recovery efficacy. The lactic acid-based NADES had the highest extraction efficiency and was further optimized using the response surface method and Box-Behnken design. A four-factors including extraction time (10, 20, and 30 min), ultrasound amplitude (70, 80, and 90 %), % NADES content (30 %, 50 %, and 70 %) and solid-to-solvent ratio (1:30, 1.5:30, and 2:30 g/ml) each at three levels (−1, 0 and 1) using Box-Behnken design was applied. The % NADES content and the solid-to-solvent ratio were the major factors influencing the extraction efficiency of the total phenolic content (TPC) and the 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity. The optimum extraction conditions included an extraction time of 15 min, ultrasound amplitude of 90 %, % NADES content of 70 % and solid-to-liquid ratio of 1:30 g/ml. The experimental values for TPC and DPPH at optimum extraction conditions were 145.54 ± 1.54 (mg GAE/g powder) and 719.19 ± 2.09 (mmol TE/g powder), respectively. The major phenolic compounds observed in the date seeds extracted using ChCl-LA were 3,4-dihydroxybenzoic acid, catechin and caffeic acid. This study reveals that the extraction of date seeds with NADES in combination with UAE technique was able to recover significantly higher amounts of phenolic compounds which could find useful applications in the food, pharmaceutical, and cosmetics industries.     

Foodomics revealed the effects of ultrasonic extraction on the composition and nutrition of cactus fruit (Opuntia ficus-indica) seed oil

Cactus is a tropical fruit with a high nutritional value; however, little information is available regarding the comprehensive utilization of its byproducts. This study aimed to explore the composition and nutritional value of cactus fruit seed oil (CFO) and reveal the effects of ultrasound-assisted extraction and traditional solvent extraction on oil quality. Foodomics analysis showed that CFO extracted using a traditional solvent is rich in linolenic acid (9c12cC18:2, 57.46 ± 0.84 %), α-tocopherol (20.01 ± 1.86 mg/100 g oil), and canolol (200.10 ± 1.21 μg/g). Compared to traditional solvent extraction, ultrasound-assisted extraction can significantly increase the content of lipid concomitants in CFO, whereas excessive ultrasound intensity may lead to the oxidation of oils and the formation of free radicals. Analysis of the thermal properties showed that ultrasound had no effect on the crystallization or melting behavior of CFO. To further demonstrate the nutritional value of CFO, a lipopolysaccharide (LPS)-induced lipid metabolism imbalance model was used. Lipidomics analysis showed that CFO significantly reduced the content of oxidized phospholipids stimulated by LPS and increased the content of highly bioactive metabolites such as ceramides, thus alleviating LPS-induced damage in C. elegans. Hence, CFO is a functional oil with high value, and ultrasound-assisted extraction is advocated. These findings provide new insights into the comprehensive utilization of cactus fruits.     

Ultrasound induced green solvent extraction of oil from oleaginous seeds

Ultrasound-assisted extraction of rapeseed oil was investigated and compared with conventional extraction for energy efficiency, throughput time, extraction yield, cleanness, processing cost and product quality. A multivariate study enabled us to define optimal parameters (7.7 W/cm² for ultrasonic power intensity, 40 °C for processing temperature, and a solid/liquid ratio of 1/15) for ultrasound-assisted extraction of oil from oilseeds to maximize lipid yield while reducing solvent consumption and extraction time using response surface methodology (RSM) with a three-variable central composite design (CCD). A significant difference in oil quality was noted under the conditions of the initial ultrasound extraction, which was later avoided using ultrasound in the absence of oxygen. Three concepts of multistage cross-current extraction were investigated and compared: conventional multistage maceration, ultrasound-assisted maceration and a combination, to assess the positive impact of using ultrasound on the seed oil extraction process. The study concludes that ultrasound-assisted extraction of oil is likely to reduce both economic and ecological impacts of the process in the fat and oil industry.     

连续投影算法在油菜叶片氨基酸总量无损检测中的应用

应用近红外光谱技术结合连续投影算法(SPA)实现了油菜叶片氨基酸总量(TAA)的快速无损检测.对150个油菜样本进行光谱扫描,通过比较不同预处理,建立油菜叶片氨基酸总量预测的最优偏最小二乘法(PLS)模型.同时应用SPA提取有效波长,作为多元线性回归(MLR),PLS和最小二乘-支持向最机(LS-SVM)的输入变量,分别建立SPA-MLR,SPA-PLS和SPA-ISSVM模型.以决定系数(R2)和均方根误差(RMSE)作为模型评价指标.结果表明,SPA-MLR和SPA-PLS均优于全波段的PLS模型,SPA-LS-SVM获得了最优的预测结果,其预测的R2和RMSEP分别为0.983 0和0.396 4,获得了满意的预测精度.说明应用光谱技术枪测油菜叶片TAA是可行的,并能获得满意的预测精度,为进一步应用光谱技术进行油菜生长对逆境胁迫的反应及大田监测提供了新的方法.     

Ultrasound-assisted desolventizing of fragrant oil from red pepper seed by subcritical propane extraction

In the present study, ultrasound was used to remove the residual solvent from the fragrant oil of red pepper seed obtained by subcritical propane extraction. The physical and chemical characteristics, particularly the volatile flavor compounds present of the oil before and after ultrasound-assisted desolventizing were comprehensively analyzed to determine the effect of the desolventizing process on product quality. The results showed that the maximum loss of residual solvent was achieved at a temperature of 90 °C maintained for 70 min with ultrasound applied during the entire process. After this treatment only a small amount of solvent (2.3% based on the total residual solvent originally present) remained in the oil. Although it was hypothesized that ultrasound treatment could result in the loss of volatile components, the analytical results showed no obvious reduction in the components associated with the typical aroma of the oil. After ultrasonic treatment, the oil also had good oxidation stability and quality. Additionally, after ultrasonic desolventizing, the oil samples were more suitable for cooking because they could more effectively minimize oxidation. Thus, these results demonstrate that this new ultrasonic technique is an effective and efficient method for removing the solvent remaining in fragrant oil after subcritical propane extraction.     

Comparison of ultrasound-assisted extraction with conventional extraction methods of oil and polyphenols from grape (Vitis vinifera L.) seeds

Ultrasound-assisted extraction (US) carried out at 20 KHz, 150 W for 30 min gave grape seed oil yield (14% w/w) similar to Soxhlet extraction (S) for 6 h. No significant differences for the major fatty acids was observed in oils extracted by S and US at 150 W. Instead, K₂₃₂ and K₂₆₈ of US- oils resulted lower than S-oil. From grape seeds differently defatted (S and US), polyphenols and their fractions were extracted by maceration for 12 h and by ultrasound-assisted extraction for 15 min. Sonication time was optimized after kinetics study on polyphenols extraction. Grape seed extracts obtained from seeds defatted by ultrasound (US) and then extracted by maceration resulted the highest in polyphenol concentration (105.20 mg GAE/g flour) and antioxidant activity (109 Eq αToc/g flour).     

柳芽中总黄酮含量的测定

以芦丁为对照品,采用超声辅助法提取柳芽中的总黄酮,分光光度法测定其含量.样品浓度在0-0.3mg·mL-1范围内线性关系良好,相关系数r=0.9999,柳芽中黄酮含量为3.08％,该方法简便、准确,可用于柳芽中总黄酮的含量测定.     

基于近红外光谱油分检测的玉米单倍体鉴别方法研究

目前,在单倍体育种技术中,可先使用低场核磁共振方法定量测得玉米单倍体与二倍体的油分,再依据二者油分差异鉴别单倍体,该方法在实际育种工作中已取得初步应用,但核磁共振鉴别单倍体方法存在速度慢、价格贵、维护难等缺点,难以获得大范围应用。近红外光谱技术有诸多优点并在各领域取得广泛应用,相关研究也表明该技术可用于玉米单倍体的定性鉴别,但是目前该方法用于鉴别单倍体实验研究时涉及的玉米品种相对较少,对于某些品种识别效果较差,且内部机理类似于黑盒,难以指明单倍体、二倍体两类种子是依据何种物质的差别进行区分,有时难以获得农业领域专家认可。根据花粉直感效应的原理,玉米单倍体与二倍体存在明显的油分区别,通过油分鉴别单倍体原理直观明白,易于被业内专家接受。因此,提出了一种先定量得到油分,再依据定量分析所得油分进行分类的方法,即首先使用玉米单籽粒的近红外光谱定量回归分析得到各籽粒的油分含量,再利用定量分析所得的油分值,并使用最小平方误差方法对单倍体、二倍体混合籽粒进行定性分类。实验结果表明近红外定量分析方法的识别精度与核磁共振方法相当,与几种定性分析方法比较,在训练集规模相同时,近红外定量分析方法所得识别率优于几种定性分析方法,进一步表明近红外定量分析方法鉴别单倍体具有一定优势,可满足育种行业精度要求,能够为尽快实现单倍体工程化育种提供保障。     

新疆紫穗槐中总黄酮的提取与含量测定

用超声波辅助乙醇溶液浸提法和索氏提取法提取新疆地方植物药材紫穗槐中黄酮化合物并进行含量测定.以芦丁为对照品,NaNO2-Al(NO3)3-NaOH体系为显色剂,利用分光光度法在510nm处测定提取物中的总黄酮的含量.校准曲线为A=11.825C-0.0139,r=0.9992.超声提取法所得总黄酮的含量以芦丁计算为2....     

高光谱成像技术的油菜叶片氮含量及分布快速检测

应用高光谱成像技术实现了油菜苗-花-角果整个生命期叶片氮含量的快速检测和氮素水平分布的可视化。采集三个生长时期共计420个叶片样本的高光谱图像信息(380～1 030 nm),提取图像中感兴趣区域的平均光谱数据,经过不同光谱预处理后,利用连续投影算法(SPA)选择特征波长,将提取的12个特征波长(467,557,665,686,706,752,874,879,886,900,978和995 nm)作为自变量,叶片氮含量作为因变量,分别建立偏最小二乘法(PLS)和最小二乘-支持向量机(LS-SVM)模型。SPA-PLS和SPA-LS-SVM模型对叶片氮含量的预测相关系数R_P分别为0.807和0.836,预测均方根误差RMSEP分别为0.387和0.358。高光谱图像中的每一个像素点都有对应的光谱反射值,利用结构简单、更易提取回归系数的SPA-PLS模型,快速计算出12个特征波长下高光谱图像中每个像素点对应的氮含量预测值,结合像素点的空间位置生成氮素浓度的叶面分布图。可视化分布图详细且直观的反应出同一叶片内部或不同叶片之间氮含量的差异。结果表明,应用高光谱成像技术分析整个油菜生长期的叶片氮含量及其可视化分布是可行的。     

A novel strategy for producing nano-particles from date seeds and enhancing their phenolic content and antioxidant properties using ultrasound-assisted extraction: A multivariate based optimization study

Date seeds from the date palm fruit are considered as a waste and they are known to contain several bioactive compounds. Producing nanoparticles from the date seeds can enhances their effectiveness and their utilization as novel functional food ingredients. In this study, date seed nanoparticles (DSNPs) synthesized using acid (HCl) hydrolysis method (HCl concentration of 38% and hydrolysis time of 4 days) was found to have particle size between 50 and 150 nm. The obtained DSNPs were characterized by measuring particle size and particle charge (Zetasizer), morphology using scanning electron microscope (SEM), and determination of the functional groups using fourier-transform infrared spectroscopy (FTIR). DSNPs were further treated with green extraction technology [ultrasound-assisted extraction (UAE)] using water-based and methanol-based solvent for optimizing the extraction of the bioactive compounds by implementing response surface methodology (RSM). The UAE of DSNPs were analysed for set of responses including total phenolic content (TPC), total flavonoid content (TFC), 1,1-diphenyl-2-picrlthydrazyl (DPPH) radical scavenging activity, ferric ion reducing antioxidant power (FRAP), and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity. Three-factor and four-factor Box-Behnken design (BBD) of three models (Synthesis of DSNPs, UAE with water, and UAE with methanol) was performed. The results showed that in UAE of DSNPs using water-based solvent, the key independent factors effecting the TPC and TFC and antioxidant activities were S:L ratio (40:1 mg/ml) and treatment time (9 min). Whereas the methanol-based UAE of DSNPs was mostly affected by US amplitude/power (90%) and methanol concentration (80%). All models were further optimized using response optimizer in Minitab and the generated predicted values were very comparable to the actual obtained results which confirm the significance and validity of all RSM models used. The phenolic compounds identified from DSNPs consisted mainly of 3,4-Dihydroxy benzoic acid, ferulic acid, and p-coumaric acid. The present study demonstrated a successful method for synthesising DSNPs as well as documented the optimum UAE conditions to maximize the extraction of polyphenolic compounds from DSNPs and enhancing their antioxidant activities to be used in food application.     

Ultrasound-assisted extraction of xyloglucan from apple pomace

Ultrasound-assisted extraction was evaluated as a simpler and more effective alternative to conventional extraction method for the isolation of xyloglucan from apple pomace. The apple pomace samples were extracted under indirect sonication in an ultrasound cleaning bath. The ultrasound extraction was compared with the conventional method, on the productions of xyloglucan. It was found that the ultrasound-assisted extraction of xyloglucan was about three times faster than the traditional extraction method. Response surface methodology was employed to study the effect of liquid:solid ratio, KOH concentration and ultrasound-assisted extraction time on the yield of xyloglucan from apple pomace. Regression analysis was performed on the data obtained. The most relevant variable was the quadratic of liquid:solid ratio. The coefficient determination (R²) was good for the second-order model. The optimum combination was determined as a liquid:solid ratio of 34.4:1 (v/w), a KOH concentration of 3.3 M and an ultrasound-assisted extraction time of 2.5 h.     

Physicochemical,structural, and digestive properties of pea starch obtained via ultrasonic-assisted alkali extraction

As a new and clean extraction technology, ultrasonic extraction has been demonstrated with great potential in the preparation of modified starch. In order to increase its added value, it is necessary to modify pea starch to enlarge its application. In this study, the efficiency of combining ultrasonic with alkali in the extraction of pea starch was evaluated and compared to conventional alkali extraction. Ultrasonic-assisted alkali extraction conditions were optimized using single-factor experiments and response surface methodology. The results revealed that maximum yield of pea starch (54.43 %) was achieved using ultrasound-assisted alkali extraction under the following conditions: sodium hydroxide solution with a concentration of 0.33 %, solid/alkali solution ratio of 1:6 (w/v), ultrasonic power of 240 W, temperature of 42 °C, and extraction time of 22 min. The ultrasound-assisted alkali extraction yielded 13.72 % greater pea starch than conventional alkali extraction. On the other hand, morphological, structural, and physicochemical properties of the obtained starch isolates were evaluated. The ultrasound-assisted alkali extraction resulted in pea starch with greater amylose content, water-solubility, swelling power, and viscosity compared with conventional alkali extraction. Furthermore, ultrasonication influenced the morphological properties of pea starch granules, while the molecular structure and crystal type were not affected. Moreover, the ultrasonic-assisted extraction produced starch with a slightly greater resistant starch content. Therefore, ultrasonic-assisted extraction can be suggested as a potential method for extracting pea starch with improved functional properties.     

Ultrasound-assisted green extraction methods: An approach for cosmeceutical compounds isolation from Macadamia integrifolia pericarp

This study aimed was to examine the potential of several green extraction methods to extract cosmetic/cosmeceutical components from Macadamia integrifolia pericarps, which were a by-product of the macadamia nut industry. M. integrifolia pericarps were extracted by conventional solvent extraction process using 95% v/v ethanol and various green extraction methods, including infusion, ultrasound, micellar, microwave, and pulsed electric field extraction using water as a clean and green solvent. The extracts were evaluated for total phenolic content using Folin-Ciocalteu method. The antioxidant activities were evaluated by 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), ferric reducing/antioxidant power, and ferric-thiocyanate method. The anti-skin ageing activities were investigated by means of collagenase, elastase, and hyaluronidase inhibition using enzyme-substrate reaction assay. The irritation profile of the extracts was evaluated by the hen’s egg test-chorioallantoic membrane (HET-CAM) test. The results noted that ultrasound-assisted extraction yielded the significantly highest extract amount with the significantly highest total phenolic content (p < 0.05), especially when the extraction time was 10 min. The aqueous extract from ultrasound-assisted extraction possessed the most potent antioxidant and anti-skin ageing activities (p < 0.05). Its antioxidant activities were comparable to ascorbic acid and Trolox, whereas the anti-skin ageing activities were equivalent to epigallocatechin-3-gallate and oleanolic acid. Besides, the extract was safe since it induced no irritation in the HET-CAM test. Therefore, ultrasound-assisted extraction was suggested as an environmentally friendly extraction method for M. integrifolia pericarp extraction and further application in the cosmetic/cosmeceutical industries.