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The carbon, nitrogen and hydrogen isotopic compositions in lamb meat and wool samples under two feeding regimes from five different regions of China were determined by IRMS, which is to investigate their potential for assigning the lamb meat according to geographical origins. The δ(13)C, δ(15)N and δ(2)H values in lamb tissues had significant differences among different regions, with the δ(13)C value is highly related to that of the lamb feeds (p<0.01) and the δ(2)H value is significantly correlated with lamb drinking water (p<0.05). Moreover, δ(13)C, δ(15)N and δ(2)H values of lamb muscle are all highly correlated with the wool samples. A total correct classification of 88.9% and 83.8% were obtained from the combination of C, N and H isotopes of lamb muscle and wool, respectively. These results demonstrate that multi-element isotopes are effective in identifying the geographical origin of lamb meat. Moreover, both muscle and hair tissue can be used for lamb traceability., (Copyright © 2016. Published by Elsevier Ltd.)

This study aims to investigate whether isotopic signatures can be used to develop reliable fingerprints for discriminating the geographical origin of Chinese winter wheat, and to evaluate the discrimination effects of δ(13)C, δ(15)N and δD, alone or with (87)Sr/(86)Sr. In this study, the values of δ(13)C, δ(15)N and δD, and the (87)Sr/(86)Sr ratios of wheat and provenance soils from three regions were determined. Significant differences were found in all parameters of wheat and (87)Sr/(86)Sr in soil extract (reflecting the bioavailable fraction of soil) among different regions. A significantly positive correlation was observed between the (87)Sr/(86)Sr ratios of wheat and soil extracts. An overall correct classification rate of 77.8% was obtained for discriminating wheat from three regions based on light stable isotopes (δ(13)C, δ(15)N, and δD). The correct classification rate of 98.1% could be obtained with the combination of the (87)Sr/(86)Sr ratio and the light stable isotopic values., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Near infrared spectroscopy (NIRS) combined with chemometric analysis was investigated for its potential to classify the geographical origin and predict δ(13)C and δ(15)N values of lamb meat samples (n=99) from three pastoral regions and two agricultural regions of China. Principal component analysis (PCA), discriminant partial least squares analysis (D-PLS), linear discriminant analysis (LDA) and partial least squares regression (PLSR) were used for data analysis. D-PLS and LDA correctly classified 100% of the both pastoral and agricultural region samples, and gave a total correct classification of 88.9% and 75% to the five individual region samples, respectively. The best PLSR calibration models for predicting δ(13)C and δ(15)N of lamb meat were obtained with the determination coefficient (R(2)) 0.76 and 0.87, respectively. These results show that NIRS combined with chemometrics can be used as a rapid and effective method to discriminate the geographical origin and estimate the δ(13)C and δ(15)N of lamb meat., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

The angular distributions of the 12C(11B,11B)12C and 12C(11B,12C)11B reactions have been measured at an incident energy of 50 MeV by using the high resolution Q3D magnetic spectrometer of the HI-13 tandem accelerator at China Institute of Atomic Energy, Beijing. The optical potential parameters of the 11B + 12C system are determined by fitting the angular distribution of the elastic scattering and then used to predict the cross sections of the elastic transfer reaction leading to the ground state in l 2C based on distorted-wave Born approximation (DWBA) analysis. Taking into account the interference between the elastic scattering and the elastic transfer processes, the proton spectroscopic factor of the, 12C ground state is extracted to be 2.15 ± 0.23 by constraining the geometrical parameters r0 and a using the rms radius of the valence proton in the 12C ground state. [ABSTRACT FROM AUTHOR]

The 13C(9Be,8Li)14N angular distribution was measured with a 9Be beam of 40 MeV. The proton spectroscopic factor of the 9Be ground state was extracted to be 0.73 ± 0.15 by the normalization of the calculated differential cross sections with the distorted-wave Born approximation (DWBA) to the experimental data. The spectroscopic factor was compared to existing theoretical and experimental values. [ABSTRACT FROM AUTHOR]