Evaluation of the chemical profile from four germplasms sources of Pruni Semen using UHPLC-LTQ-Orbitrap-MS and multivariate analyses

Pruni Semen,the seed of several unique Prunus plants,is a traditional purgative herbal material.To determine the authentic sources of Pruni Semen,46 samples from four species were collected and analyzed.Ten compounds including multiflorin A(Mul A),a notable purative compound,were isolated and identified by chemical separation and nuclear magnetic resonance spectroscopy.Seventy-six communal components were identified by ultra-high performance liquid chromatography with linear ion trap-quadrupole Orbitrap mass spectrometry,and acetyl flavonoid glycosides were recognized as characteristic constituents.The flavonoids were distributed in the seed coat and cyanogenic glycosides in the kernel.Based on this,methods for identifying Pruni Semen from different sources were established using chemical fingerprinting,quantitative analysis of the eight principal compounds,hierarchical cluster analysis,principal component analysis,and orthogonal partial least squares discriminant analysis.The results showed that the samples were divided into two categories:one is the small seeds from Prunus humilis(Ph)and Prunus japonica(Pj),and the other is the big seeds from Prunus pedunculata(Pp)and Prunus triloba(Pt).The average content of Mul A was 3.02,6.93,0.40,and 0.29 mg/g,while the average content of amygdalin was 18.5,17.7,31.5,and 30.9 mg/g in Ph,Pj,Pp,and Pt,respectively.All the above information suggests that small seeds might be superior sources of Pruni Semen.This is the first comprehensive report on the identification of chemical components in Pruni Semen from different species.

Weathering and accumulation of trace elements in the soils of the Porali Plain, Balochistan: repercussions in agriculture

This study is thefirst attempt to assess the nature of the soil,especially on the western side of the Porali Plain in Balochistan;a new emerging agriculture hub,using weathering and pollution indices supplemented by multi-variate analysis based on geochemical data.The outcomes of this study are expected to help farmers in soil manage-ment and selecting suitable crops for the region.Twenty-five soil samples were collected,mainly from the arable land of the Porali Plain.After drying and coning-quarter-ing,soil samples were analyzed for major and trace ele-ments using the XRF technique;sieving and hydrometric methods were employed for granulometric analysis.Esti-mated data were analyzed using Excel,SPSS,and Surfer software to calculate various indices,correlation matrix,and spatial distribution.The granulometric analysis showed that 76%of the samples belonged to loam types of soil,12%to sand type,and 8%to silt type.Weathering indices:CIA,CIW,PIA,PWI,WIP,CIX,and ICV were calculated to infer the level of alteration.These indices reflect mod-erate to intense weathering;supported by K_(2)O/AI_(2)O_(3),Rb/K_(2)O,Rb/Ti,and Rb/Sr ratios.Assessment of the geo-ac-cumulation and Nemerow Pollution indices pinpoint rela-tively high concentrations of Pb,Ni,and Cr concentration in the soils.The correlation matrix and Principal Compo-nent Analysis show that the soil in this study area is mainly derived from the weathering of igneous rocks of Bela Ophiolite(Cretaceous age)and Jurassic sedimentary rocks of Mor Range having SEDEX/MVT type mineralization.Weathering may result in the undesirable accumulation of certain trace elements which adversely affects crops.

Metabolic Profiling of Human Colorectal Cancer Using High Resolution 1H Nuclear Magnetic Resonance Spectroscopy

Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution ^1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis （PCA）. Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositolltaurine and myo-inositol/（ornithine＋polyamine） appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR ~H NMR spectroscopy combined with multivariate analy- ses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations.