Reaction of CuCl2 with 2-amino-5-fluoropyridine and HCl in aqueous solution yields bis(2-amino-5-fluoropyridinium) tetrachlorocuprate(II), (5FAP)2CuCl4, (1). The complex crystallizes in the monoclinic space group P21/c with cell dimensions a = 6.926(7) A, b = 21.73(2) A, c = 10.911(10) A, beta = 100.19(2) degrees , V = 1616(3) A3, and R1 = 0.0424 based on 2640 independent reflections. The crystal packing shows that each tetrachlorocuprate ion has four nearest-neighbor Cu(II) ions through three types of Cu-Cl...Cl-Cu potential magnetic interactions: one short Cl...Cl distance (d1 = 3.657 A) and two longer Cl...Cl distances (d2 = 4.073 A) that form a layered distorted honeycomb structure. The third nearest neighbor (d3 = 4.239 A) links these layers into a three-dimensional structure. Both powder and single-crystal magnetic susceptibility measurements on 1, over the temperature range of 1.8-325 K, show significant antiferromagnetic interactions. Attempts to analyze the data using a variety of models showed a best fit to the strong-rung ladder model, with 2Jrung = -17.170(14) and 2Jrail = -5.94(5) K [-11.92(1) and -4.13(3) cm(-1), respectively] for the powder, although a comparable result is obtained using an alternate chain model. However, neither of these two models is compatible with a layered distorted honeycomb crystal packing structure. A first-principles bottom-up theoretical study using the 165 K crystallographic data reproduces the macroscopic properties and reveals that at low temperature the crystal has a 3D magnetic topology (all three magnetic pathways are significant) and a singlet ground state.

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The synthesis, crystal structure, and magnetic properties (from a combined experimental and First-Principles Bottom-Up theoretical study) of the new compound catena-dichloro(2-Cl-3Mpy)copper(II), 1, [2-Cl-3Mpy=2-chloro-3-methylpyridine] are described and rationalized. Crystals of 1 present well isolated magnetic 1D chains (no 3D order was experimentally observed down to 1.8 K) and magnetic frustration stemming from competing ferromagnetic nearest-neighbor (J(NN)) interactions and antiferromagnetic next-nearest neighbor (J(NNN)) interactions, in which α=J(NNN)/J(NN) <-0.25. These magnetic interactions give rise to a unique magnetic topology: a two-leg zigzag ladder composed of edge-sharing up-down triangles with antiferromagnetic interactions along the rails and ferromagnetic interactions along the zigzag chain that connects the rails. Crystals of 1 also present a random distribution of the 2-Cl-3Mpy groups, which are arranged in two different orientations, each with a 50 % occupancy. This translates into a random static structural disorder within each chain by virtue of which the value of the J(NN) magnetic interactions can randomly take one of the following three values: 53, 36, and 16 cm(-1). The structural disorder does not affect the J(NNN) value, which in all cases is approximately -9 cm(-1). A proper statistical treatment of this disorder provides a computed magnetic susceptibility curve that reproduces the main features of the experimental data.

SUMMARYA theoretical model was built predicting the relationship between microfibril angle and lignin content at the Angstrom (A) level. Both theoretical and statistical examination of experimental data supports a square root transformation of lignin to predict microfibril angle. The experimental material used came from 10 longleaf pine (Pinuspalustris) trees. Klason lignin (n=70), microfibril angle (n=70), and extractives (n=100) were measured and reported at different ring numbers and heights. All three traits were strongly influenced by ring age from pith while microfibril angle and extractives exhibited more of a height effect than lignin. As such, the multivariate response of the three traits were different in the axial direction than the radial direction supporting that care needs to be taken when defining juvenile wood within the tree. The root mean square error of calibration (RMSEC) for microfibril angle of the theoretical model (RMSEC = 9.8) was almost as low as the least squares regression model (RMSEC = 9.35). Microfibril angle calibrations were also built from NIR absorbance and showed a strong likeness to theoretical and experimental models (RMSEC = 9.0). As a result, theoretical and experimental work provided evidence that lignin content played a significant role in how NIR absorbance relates to microfibril angle. Additionally, the large variation in extractives content coupled with sampling procedure proved important when developing NIR based calibration equations for lignin and microfibril angle.

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