Analysis of the lipid extraction performance in a cascade process for Scenedesmus almeriensis biorefinery

BACKGROUND

Microalgae have attracted considerable interest due to their ability to produce a wide range of valuable compounds. Pulsed Electric Fields (PEF) has been demonstrated to effectively disrupt the microalgae cells and facilitate intracellular extraction. To increase the commercial viability of microalgae, the entire biomass should be exploited with different products extracted and valorized according to the biorefinery scheme. However, demonstrations of multiple component extraction in series are very limited in literature. This study aimed to develop an effective lipid extraction protocol from wet Scenedesmus almeriensis after PEF-treatment with 1.5 MJ·kgDW-1. A cascade process, i.e., the valorization of several products in row, was tested with firstly the collection of the released carbohydrates in the water fraction, then protein enzymatic hydrolysis and finally lipid extraction. Biomass processed with high pressure homogenization (HPH) on parallel, served as benchmark.

RESULTS

Lipid extraction with ethanol:hexane (1:0.41 vol/vol) offered the highest yields from the different protocols tested. PEF-treatment promoted extraction with almost 70% of total lipids extracted against 43% from untreated biomass. An incubation step after PEF-treatment, further improved the yields, up to 83% of total lipids. Increasing the solvent volume by factor 2 offered no improvement. In comparison, extraction with two other systems utilizing only ethanol at room temperature or elevated at 60 °C were ineffective with less than 30% of total lipids extracted. Regarding cascade extraction, carbohydrate release after PEF was detected albeit in low concentrations. PEF-treated samples displayed slightly better kinetics during the enzymatic protein hydrolysis compared to untreated or HPH-treated biomass. The yields from a subsequent lipid extraction were not affected after PEF but were significantly increased for untreated samples (66% of total lipids), while HPH displayed the lowest yields (~ 49% of total lipids).

CONCLUSIONS

PEF-treatment successfully promoted lipid extraction from S. almeriensis but only in combination with a polar:neutral co-solvent (ethanol:hexane). After enzymatic protein hydrolysis in cascade processing; however, untreated biomass displayed equal lipid yields due to the disruptive effect of the proteolytic enzymes. Therefore, the positive impact of PEF in this scheme is limited on the improved reaction kinetics exhibited during the enzymatic hydrolysis step.

Hyperparathyroidism and new onset diabetes after renal transplantation

BACKGROUND

Secondary hyperparathyroidism persists after renal transplantation in a substantial number of patients. Primary hyperparathyroidism and secondary hyperparathyroidism are both associated with abnormalities in glucose metabolism, such as insufficient insulin release and glucose intolerance. The association of hyperparathyroidism and diabetes after renal transplantation has, as far as we know, not been studied. Our aim was to investigate whether hyperparathyroidism is associated with new-onset diabetes mellitus after transplantation (NODAT) during the first year posttransplantation.

STUDY DESIGN

In a retrospective study, we analyzed data on patient characteristics, treatment details, and parathyroid hormone (PTH) in 245 adult nondiabetic patients who underwent renal transplantation between January 2000 and June 2011.

RESULTS

The first year cumulative incidence of NODAT was 15%. The first serum PTH value after transplantation was above normal range in 74% of the patients. In multiple logistic regression analysis, PTH levels above twice normal range (>13.80 pmol/L) were significantly associated with NODAT (odds ratio [OR], 4.25; 95% confidence interval [CI], 1.13-15.92; P = .03) compared with PTH within normal range (≤6.9 pmol/L). Age between 45 and 65 years (OR, 2.80; 95% CI, 1.07-7.36; P = .04) compared with age <45 years was also associated with NODAT.

CONCLUSION

We found a strong association between hyperparathyroidism and NODAT in the first year after renal transplantation. Both conditions are common and have a negative impact on graft and patient survivals. Our results should be confirmed in prospective studies.

Can DXA predict fractures in renal transplant patients?

Renal transplant patients have a high prevalence of osteopenia, osteoporosis and fractures. The aim of the study was to investigate whether dual-energy x-ray absorptiometry (DXA) is of value to predict fractures. In 1995-2007, 238 renal transplant patients underwent 670 DXA investigations. Osteopenia (46.0%), osteoporosis (13.9%) and absolute bone mineral density (BMD) (median 0.9, range 0.4-2.0 g/cm(2)) in the hip region were used to evaluate fracture risk. Data on fractures were collected at the occasion of each DXA, and a questionnaire was filled in by 191 patients at regular outpatient visits. Reported fractures were verified by consultation of medical records. In all, 46 patients had 53 fractures. Cumulative hazard of fracture was significantly different among normal BMD, osteopenia and osteoporosis in the hip (p < 0.0001). A Cox proportional hazard analysis also including age, gender and diabetic nephropathy showed significantly increased fracture risk for osteoporosis (3.5 times, CI 1.8-6.4, p = 0.0001) as well as for osteopenia (2.7 times, 1.6-4.6, p = 0.0003). A significantly increased risk was also found with absolute BMD estimates below the median. Osteopenia and an absolute bone density below 0.9 g/cm(2) in the hip region confer an increased risk of fracture.