Biomolecules from Plant Wastes Potentially Relevant in the Management of Irritable Bowel Syndrome and Co-Occurring Symptomatology

During and following the processing of a plant’s raw material, considerable amounts are wasted, composted, or redistributed in non-alimentary sectors for further use (for example, some forms of plant waste contribute to biofuel, bioethanol, or biomass production). However, many of these forms of waste still consist of critical bioactive compounds used in the food industry or medicine. Irritable bowel syndrome (IBS) is one of the most common functional gastrointestinal disorders. The primary treatment is based on symptomatology alleviation and controlled dietary management. Thus, this review aimed to describe the possible relevance of molecules residing in plant waste that can be used to manage IBS and co-occurring symptoms. Significant evidence was found that many forms of fruit, vegetable, and medicinal plant waste could be the source of some molecules that could be used to treat or prevent stool consistency and frequency impairments and abdominal pain, these being the main IBS symptoms. While many of these molecules could be recovered from plant waste during or following primary processing, the studies suggested that enriched food could offer efficient valorization and prevent further changes in properties or stability. In this way, root, stem, straw, leaf, fruit, and vegetable pomaces were found to consist of biomolecules that could modulate intestinal permeability, pain perception, and overall gastrointestinal digestive processes.     

固相萃取-气相色谱/负化学电离-质谱法测定酸水解植物蛋白及酱油中的3-氯-1,2-丙二醇

建立了酸水解植物蛋白及酱油中3-氯-1,2-丙二醇(3-MCPD)的固相萃取-气相色谱/质谱测定方法。样品经Aoisa-HBL固相萃取柱萃取,正己烷-乙酸乙酯净化提取,七氟丁酰咪唑衍生,衍生物经气相色谱/负化学电离-质谱（GC/NCI-MS）选择离子模式(SIM)检测,外标法定量。3-MCPD的定量检测限为0.5 μg/kg,平均回收率为92.2%～97.4%,相对标准偏差为3.6%～10.9%。该方法检测灵敏度高,定性定量准确。     

液相色谱-串联质谱检测蔬菜和茶叶中吡虫啉的残留量

介绍了利用液相色谱-串联质谱（LC-MS/MS）快速、准确地测定蔬菜、茶叶产品中吡虫啉残留量的方法。前处理方法为用乙腈提取,再用弗罗里硅土和活性炭混合柱净化。用多反应监测技术确定吡虫啉的两对离子(m/z 256.0/209.3,m/z 256.0/175.2)为定性离子对,m/z 209.3为定量离子。方法的定量限为0.01 mg/kg,线性范围为0.01～0.5 mg/L,加标回收率为76%～90%,相对标准偏差（RSD）为7.4%～11.0%。     

GC/MS法快速测定食用植物油中脂肪酸含量

脂肪酸以甘油三酯的形式存在于植物油中,我们先用KOH-甲醇方法将它转化为甲酯,用正交设计法探索出最佳的酯交换条件,整个过程5分钟可完成。然后用GC/MS/MSD进行定性定量分析。测定了8种食用植物油中六种脂肪酸的含量。     

粮谷和油籽中丰索磷残留量的气相色谱及气相色谱／质谱分析

介绍应用气相色谱和气相色谱－质谱法测定及确证粮谷和油籽中丰索磷的残留含量，试样采用水－丙酮提取，提取液经液－液分配后，再以弗罗里硅土柱净化，气相色谱，火焰光度检测器测定，外标法定量，并用气相色谱－质谱针对丰索磷的选择监测离子的种类和丰度比进行敢阳性确证。     

高效凝胶过滤色谱法分离测定豆薯种子蛋白

用高效凝胶蛋白往分离豆薯种子蛋白租提液,结合光电二极管阵列检测器对分离的蛋白峰进行紫外光谱扫描来确认蛋白的纯度,测定了3种蛋白的分子量,采用邻苯二甲醛（OPA）柱后衍生法测定了豆薯种子蛋白的氨基酸含量。     

不同环境蔬菜中铅污染的研究

用原子吸收分光光度计石墨炉法分析了公路附近的蔬菜中铅的含量。结果表明,蔬菜中铅的含量还与其距离公路的远近有关,蔬菜与空气接触程度也有关;不同种类蔬菜中的铅污染有差异。     

洛阳市郊区叶菜中重金属含量抽样分析及评价

为了研究洛阳市郊区蔬菜中重金属污染状况,采用火焰原子吸收法对郊区李楼乡和孙旗屯乡抽取的叶菜样品中重金属Cu、Zn、Pb、Cd含量进行了测定。结果表明,8个蔬菜样品中Cu含量在0.393 9～0.970 7 mg/kg之间,Zn含量在1.395 0～10.080 0 mg/kg之间,均未超过国家蔬菜卫生限量标准;Pb含量在0.100 0～0.248 6 mg/kg之间,其中有3个样品Pb含量超出国家蔬菜卫生限量标准;Cd含量有5个样品未检出,其余3个样品也不超国标。经用单因子和综合因子污染指数评价,洛阳市郊区叶菜类蔬菜重金属污染大部分已处于警戒级到轻度污染,因此,应加强蔬菜中重金属污染的预防与治理工作。     

Optimization of a New Extraction Technique for Analysis of Verbenone and cis-Verbenol in Pine Seeds

Results from a systematic study of the factors affecting extraction of cis-verbenol and verbenone from pine seeds are presented. Five extraction conditions were investigated: extraction solvent, method of extraction, extraction temperature, volume of solvent, and the ratio of the mass of sample to the amount of extraction solvent. The resulting optimized method uses magnetic-stirring-assisted extraction of pine seeds (5 g) with ethyl acetate (75 mL) for 20 min, at room temperature. RSDs were less than 5% for both compounds. GC–FID was used for quantification of cis-verbenol and verbenone in the extracts.     

Determination of edible oil parameters by near infrared spectrometry

A chemometric method has been developed for the determination of acidity and peroxide index in edible oils of different types and origins by using near infrared spectroscopy (NIR) measurements. Different methods for selecting the calibration set, after an hierarchical cluster analysis, were applied. After discrimination of olive oils from maize, seed and sunflower, the prediction capabilities of partial least squares (PLS) multivariate calibration of NIR data were evaluated. Several preprocessing alternatives (first derivative, multiplicative scatter correction, vector normalization, constant offset elimination, mean centering and standard normal variate) were investigated by using the root mean square error of validation (RMSEV) and prediction (RMSEP), as control parameters. Under the best conditions studied, the validation set provides RMSEP values of 0.034 and 0.037% (w/w) for acidity in (I) olive oil group and (II) sunflower, seed and maize oils group. RMSEP values for peroxide in both sample groups, expressed as mequiv. O₂ kg⁻¹, were, respectively 1.87 and 0.79. The limit of detection of the methodology developed was 0.03% for acidity in both groups of edible oils (I and II), and 0.9 and 0.8 mequiv. O₂ kg⁻¹ for peroxide in the olive oil and other edible oils groups, respectively. In fact, the methodology developed is proposed for direct acidity quantification and for the screening of peroxide index in edible oils, requiring less than 30 s per sample without any previous treatment.