新鲜苹果汁可溶性固形物含量的傅里叶变换近红外光谱检测

用傅里叶变换近红外(FTNIR)光谱透射方式对新鲜苹果汁溶性固形物含量(SSC)进行了快速定量分析。实验共测定了60个果汁样品的SSC,并采集了样品的近红外光谱数据。42个样品用来建模,剩下的18个用来验证模型的性能。对实验室测得的SSC与FTNIR光谱数据进行相关性分析,以TQ 6.2.1定量分析软件中集成的主成分回归法(PCR)和偏最小二乘回归法(PLS)建立了检测模型。该研究对比了不同光谱范围内建立的检测模型的性能。根据预测平方根误差(RMSEP)和相关系数(r2)进行不同模型的预测性能,最好的新鲜苹果汁SSC预测模型的RMSEP＝0.603 0Brix,r2＝0.997。结果表明FT-NIR可以作为一种可靠、准确、快速的无损检测方法来评价新鲜果汁的可溶性固形物含量。     

分辨率对近红外光谱和定量分析的影响研究

近红外光谱分析技术是近年来发展最快的定性和定量分析技术之一,在较多领域得到了广泛应用。文章利用近红外光谱技术建立了杨梅汁酸度的定量分析模型,研究了不同分辨率对杨梅汁光谱和定量模型的影响。结果显示,分辨率对杨梅汁近红外光谱和其酸度的定量分析结果有较大的影响。高分辨率采集的光谱比低分辨率采集的光谱粗糙,扫描的速度较慢,所需的数据存储空间较大;不同分辨率下光谱的均方根噪声和平均吸光度在α＝0.05水平上差异显著;分辨率为4 cm-1时所建立的杨梅汁酸度模型的精度最高,模型的相关系数达到了0.994 04,校正均方根误差(RMSEC)和交互验证均方根误差(RMSECV)分别为0.023 3和0.153。但是考虑到扫描速度和数据存储空间,在不丢失样品信息的前提下采集光谱时建议将分辨率设为8 cm-1。     

可见光/近红外光谱技术快速测定橙汁柠檬酸含量

为了快速无损测定橙汁的柠檬酸含量,提出了一种用可见光/近红外光谱技术进行检测的新方法。选用高效液相色谱法作为光谱柠檬酸测定的标定方法。采用平滑点数为5的移动平滑法对原始光谱进行预处理消除噪声。由于采集的光谱数据量非常大,为了减少建模时间,建模之前采用小波变换对经过预处理的大量光谱数据进行降维压缩,并在Matlab7.01中通过自编程序实现此变换。利用光谱专用分析软件Unscrambler 9.5,对压缩后的新变量进行分析,建立偏最小二乘(PLS)校正模型。考虑到不同小波基及分解尺度对数据压缩的影响,采用预测平方和PRESS值最小的评价标准,选择最佳的小波基Db4及分解尺度5。用于本实验的样本总数为40,其中30个样本进行建模,10个用于预测。用校正集相关系数(r)和标准偏差(SEC)作为校正模型的评价指标,预测结果采用预测相关系数(r)和预测标准偏差(SEP)来评定。文章将基于小波变换的PLS模型与直接建立的PLS模型进行了比较,偏最小二乘法结合小波变换的模型预测相关系数为r=0.901, 预测标准偏差SEP=0.937;而由PLS建立的模型其预测相关系数r=0.849,预测标准偏差SEP=1.662。由此可见,由偏最小二乘法结合小波变换所得模型效果优于单独使用偏最小二乘法的结果。     

生物样品中速可眠及代谢产物的分析

应用气相色谱／质谱（ＧＣ／ＭＳ）法对一例速可眠中毒病人生物样品进行分析鉴定。样品经酸化、乙醚提取,然后于ＧＣ／ＭＳ分析,在患者胃内容物和血中检出速可眠,在眼药３３ｈ尿内可检出速可眠原型药物以及四个代谢产物。并用外标法对生物样品中速可眠进行定量测定,对临床救治起到了积极作用。     

Fruit Wastes as a Valuable Source of Value-Added Compounds: A Collaborative Perspective

The by-products/wastes from agro-food and in particular the fruit industry represents from one side an issue since they cannot be disposed as such for their impact on the environment but they need to be treated as a waste. However, on the other side, they are a source of bioactive healthy useful compounds which can be recovered and be the starting material for other products in the view of sustainability and a circular economy addressing the global goal of “zero waste” in the environment. An updated view of the state of art of the research on fruit wastes is here given under this perspective. The topic is defined as follows: (i) literature quantitative analysis of fruit waste/by-products, with particular regards to linkage with health; (ii) an updated view of conventional and innovative extraction procedures; (iii) high-value added compounds obtained from fruit waste and associated biological properties; (iv) fruit wastes presence and relevance in updated databases. Nowadays, the investigation of the main components and related bioactivities of fruit wastes is being continuously explored throughout integrated and multidisciplinary approaches towards the exploitation of emerging fields of application which may allow to create economic, environmental, and social value in the design of an eco-friendly approach of the fruit wastes.     

成都平原典型地区水果-土壤重金属污染特征研究

为摸清成都平原土壤-水果系统中重金属污染水平和富集特征,通过对成都平原典型地区333个水果作物及其根部表层土壤中Hg、As、Pb、Cd、Cu、Cr和土壤理化指标的测定,结果表明：（1）研究区土壤养分整体呈现出有效磷和碱解氮较丰富,有机质和速效钾较缺乏的特征,可通过增施有机肥、地面覆草、施用绿肥等方式提升土壤肥力水平。（2）研究区土壤重金属存在部分点位超标,以Cd的超标率最高。土壤重金属单因子评价污染等级为清洁,土壤综合污染指数评价污染等级为中度污染,其主要贡献为Cd。研究区重金属存在一定程度的富集,Cd和Hg的污染指数高,潜在生态风险强,应重点关注土壤Cd污染和Hg含量水平的增加趋势,将Cd污染作为下一步土壤风险管控和修复治理的重点目标。（3）研究区水果Pb、Cd的超标率分别为5.7%、7.8%,不同水果Pb、Cd的超标率差异显著,草莓Cd的超标率最高。研究区水果中重金属未对成人构成非致癌健康风险,而水果中的As和Cu对儿童构成了非致癌健康风险,As和Cu对水果重金属非致癌总指数的贡献超过70%,应特别关注水果中As和Cu的管控,以免造成较大的食源性危害。（4）重金属在水果与土壤中的含量水平关联性较低,水果中重金属的含量与水果富集重金属的能力关联度极高,应进一步查明水果重金属与土壤重金属形态的关系,并结合调整水果种植结构、筛选重金属低积累水果品种等方式降低水果重金属的健康风险。     

气相色谱-质谱法分析山楂果中的有机酸

山楂(Hawthorn),别名红果,蔷薇科山楂属(Crataegus)植物,山楂果营养丰富,是最早被列入食药兼用的水果之一,具有消食化滞,行气散瘀等功效。山楂果中起消食导滞作用的有效成分是有机酸。本文对文献的实验条件进行合理改进,用GC—MS法对河南辉县和桐柏山两地山楂果中有机酸成分进行了系统分析,各有机酸成分得到有效分离;并利用选择离子方法测定了其中8种主要有机酸的含量,以期对山楂果的食用、药用价值以及开发研制功能性保健食品提供科学依据。     

Development of Analytical Strategies for the Determination of Olive Fruit Bioactive Compounds Using UPLC-HRMS and HPLC-DAD. Chemical Characterization of Kolovi Lesvos Variety as a Case Study

In this study, an overall survey regarding the determination of several bioactive compounds in olive fruit is presented. Two methodologies were developed, one UPLC-Q-TOF-MS method for the determination of olive fruit phenolic compounds and one HPLC-DAD methodology targeting the determination of pigments (chlorophylls and carotenoids), tocopherols (α-, β, -γ, δ-) and squalene. Target and suspect screening workflows were developed for the thorough fingerprinting of the phenolic fraction of olives. Both methods were validated, presenting excellent performance characteristics, and can be used as reliable tools for the monitoring of bioactive compounds in olive fruit samples. The developed methodologies were utilized to chemical characterize the fruits of the Kolovi olive variety, originating from the island of Lesvos, North Aegean Region, Greece. Twenty-five phenolic compounds were identified and quantified in Kolovi olives with verbascoside, hydroxytyrosol, oleacein and oleomissional found in significantly high concentrations. Moreover, 12 new bioactive compounds were identified in the samples using an in-house suspect database. The results of pigments analysis suggested that Kolovi variety should be characterized as low pigmentation, while the tocopherol and squalene content was relatively high compared to other olive varieties. The characterization of Kolovi olive bioactive content highlighted the high nutritional and possible economic value of the Kolovi olive fruit.     

Flow injection for the determination of Se(IV) and Se(VI) by hydride generation atomic absorption spectrometry with microwave oven on-line prereduction of Se(VI) to Se(IV)

An on-line flow injection system has been developed for the selective determination of Se(IV) and Se(VI) in citric fruit juices and geothermal waters by hydride generation atomic absorption spectrometry with microwave-aided heating prereduction of Se(VI) to Se(IV). The samples and the prereductant solutions (4 mol l⁻¹ HCl for Se(IV) and 12 mol l⁻¹ HCl for Se(VI)) which circulated in a closed-flow circuit were injected by means of a time-based injector. This mixture was displaced by a carrier solution of 1% v/v of hydrochloric acid through a PTFE coil located inside the focused microwave oven and mixed downstream with a borohydride solution to generate the hydride. The linear ranges were 0–120 and 0–100 μg l⁻¹ of Se(IV) and Se(VI), respectively. The detection limits were 1.0 μg l⁻¹ for Se(IV) and 1.5 μg l⁻¹ for Se(VI). The precision (about 2.0–2.5% RSD) and recoveries (96–98% for Se(IV) and 94–98% for Se(VI)) were good. Total selenium values were also obtained by electrothermal atomic absorption spectrometry which agreed with the content of both selenium species. The sample throughput was about 50 measurements per hour. The main advantage of the method is that the selective determination of Se(IV) and Se(VI) in citric fruit juices and geothermal waters is performed in a closed system with a minimum sample manipulation, exposure to the environment, minimum sample waste and operator attention.     

Photoautotrophic and Mixotrophic Cultivation of Polyhydroxyalkanoate-Accumulating Microalgae Consortia Selected under Nitrogen and Phosphate Limitation

Microalgae consortia were photoautotrophically cultivated in sequencing batch photobioreactors (SBPRs) with an alteration of the normal growth and starvation (nutrient limitation) phases to select consortia capable of polyhydroxyalkanoate (PHA) accumulation. At the steady state of SBPR operation, the obtained microalgae consortia, selected under nitrogen and phosphate limitation, accumulated up to 11.38% and 10.24% of PHA in their biomass, which was identified as poly(3-hydroxybutyrate) (P3HB). Photoautotrophic and mixotrophic batch cultivation of the selected microalgae consortia was conducted to investigate the potential of biomass and PHA production. Sugar source supplementation enhanced the biomass and PHA production, with the highest PHA contents of 10.94 and 6.2%, and cumulative PHA productions of 100 and 130 mg/L, with this being achieved with sugarcane juice under nitrogen and phosphate limitation, respectively. The analysis of other macromolecules during batch cultivation indicated a high content of carbohydrates and lipids under nitrogen limitation, while higher protein contents were detected under phosphate limitation. These results recommended the selected microalgae consortia as potential tools for PHA and bioresource production. The mixed-culture non-sterile cultivation system developed in this study provides valuable information for large-scale microalgal PHA production process development following the biorefinery concept.