Safety climate in Pakistani universities' laboratories: an assessment of individual factors.

Objectives. Current research aims to identify factors that affect the occupational safety climate in university laboratories despite their perception as low-risk areas compared to industrial environments. Methods. A safety climate survey was conducted in science laboratories across various engineering universities in Pakistan. The survey questionnaire was administered to 406 personnel, and a quantitative method for analysis was selected to examine the socio-demographic variables. A 5-point Likert scale (1 = strongly disagree to 5 = strongly agree) was used to perceive responses from participants. Additionally, a scale reliability test was conducted, and multivariate analysis of variance was performed to determine the relationship between selected dependent and independent variables. Results. The study found an overall safety climate score of 3.16 ± 0.55, indicating a moderate to high perception of safety on a scale of 1-5. Parameters such as role in the laboratory, departments/disciplines, accident experience and safety training significantly affected the safety climate score, while gender, age group, duration in university and accident witnessing did not. Conclusion. Upper management involvement, safety communication and direct supervision are crucial for improving the safety climate of university laboratories. The study recommends the consideration of the identified significant safety climate dimensions in laboratory safety policy-making at academic institutes.

Physicochemical Attributes and Antioxidant Potential of Kernel Oils from Selected Mango Varieties.

The current study appraises the variations in the yield and physicochemical and antioxidant attributes among kernel oils from the seven most widely consumed varieties of Pakistani mangoes, namely, Anwar Ratul, Dasehri, Fajri, Laal Badshah, Langra, Safed Chaunsa, and Sindhri. The yield of mango kernel oil (MKO) among the tested varieties of mangoes varied significantly (p < 0.05), ranging from 6.33% (Sindhri) to 9.88% (Dasehri). Physicochemical properties, including the saponification value, refractive index, iodine no., P.V, % acid value, free fatty acids, and unsaponifiable matter, for MKOs were noted to be 143.00-207.10 mg KOH/g, 1.443-1.457, 28.00-36.00 g/100 g, 5.5-2.0 meq/kg, 1.00-7.7%, 0.5-3.9 mg/g, and 1.2-3.3%, respectively. The fatty acid composition determined by GC-TIC-MS revealed the presence of 15 different fatty acids with variable contributions of saturated (41.92-52.86%) and unsaturated (47.140-58.08%) fatty acids. Among unsaturated fatty acids, values of monounsaturated and polyunsaturated fatty acids ranged from 41.92 to 52.85 and 7.72 to 16.47%, respectively. Oleic acid (25.69-48.57%), stearic acid (24.71-38.53%), linoleic acid (7.72-16.47%), and palmitic acid (10.00-13.26%) were the prominent fatty acids. The total phenolic content (TPC) and DPPH radical scavenging (IC50) capacity of MKOs varied from 7.03 to 11.00 mg GAE/g and 4.33 to 8.32 mg/mL, respectively. The results of most of the tested attributes varied significantly (p < 0.05) among the varieties selected. It can be concluded from the findings of this research work that MKOs from the tested varieties are potential sources of valuable ingredients for the development of nutrapharmaceuticals due to their potent antioxidant properties and high oleic fatty acid profile.

Erratum: Publisher Correction: Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic.

[This corrects the article DOI: 10.1007/s40964-022-00373-9.].

Comparative study of hypoglycaemic and antioxidant potential of methanolic seed extract and oil of Nigella sativa on alloxanized diabetic rabbits.

The present study was aimed to investigate the comparative antidiabetic potential of Nigella sativa seed extract and oil in an in vivo trial using rat animal model. The levels of antioxidants analysed in this study included catalase, vitamin C and bilirubin. NS methanolic extract and its oil were tested for their hypoglycemic effect against alloxanized diabetic rabbits (120mg/kg). The crude methanolic extract and the oil (2.5ml/kg/day) were given orally for 24 days that resulted in a significant reduction in glycaemia, particularly during the first 12 days of treatment (reductions of 58.09% and 73.27%, respectively), whereas the oil treated group normalised the levels of catalase (-69.23%), vitamin C (27.30%) and bilirubin (-51.48%) and the extract treated group normalised the levels of catalase (-65.38), vitamin C (24.15%) and bilirubin (-26.19%) at the end of the trial. The results have shown that the seed oil more significantly normalized the levels of serum catalase, serum ascorbic acid and total serum bilirubin as compared to the methanolic extract of Nigella sativa, so Nigella sativa seed oil (NSO) may be used as part of antidiabetic remedies against diabetes and utilized as a nutraceutical.

Additive manufacturing for biomedical applications: a review on classification, energy consumption, and its appreciable role since COVID-19 pandemic.

The exponential rise of healthcare problems like human aging and road traffic accidents have developed an intrinsic challenge to biomedical sectors concerning the arrangement of patient-specific biomedical products. The additively manufactured implants and scaffolds have captured global attention over the last two decades concerning their printing quality and ease of manufacturing. However, the inherent challenges associated with additive manufacturing (AM) technologies, namely process selection, level of complexity, printing speed, resolution, biomaterial choice, and consumed energy, still pose several limitations on their use. Recently, the whole world has faced severe supply chain disruptions of personal protective equipment and basic medical facilities due to a respiratory disease known as the coronavirus (COVID-19). In this regard, local and global AM manufacturers have printed biomedical products to level the supply-demand equation. The potential of AM technologies for biomedical applications before, during, and post-COVID-19 pandemic alongwith its relation to the industry 4.0 (I4.0) concept is discussed herein. Moreover, additive manufacturing technologies are studied in this work concerning their working principle, classification, materials, processing variables, output responses, merits, challenges, and biomedical applications. Different factors affecting the sustainable performance in AM for biomedical applications are discussed with more focus on the comparative examination of consumed energy to determine which process is more sustainable. The recent advancements in the field like 4D printing and 5D printing are useful for the successful implementation of I4.0 to combat any future pandemic scenario. The potential of hybrid printing, multi-materials printing, and printing with smart materials, has been identified as hot research areas to produce scaffolds and implants in regenerative medicine, tissue engineering, and orthopedic implants.

Modelling the Mechanical Attributes (Roughness, Strength, and Hardness) of Al-alloy A356 during Sand Casting.

Sand-casting is a well established primary process for manufacturing various parts of A356 alloy. However, the quality of the casting is adversely affected by the change in the magnitude of the control variables. For instance, a larger magnitude of pouring velocity induces a drop effect and a lower velocity increases the likelihood of cold-shut and mis-run types of defects. Similarly, a high pouring temperature causes the formation of hot tears, whereas a low temperature is a source of premature solidification. Likewise, a higher moisture content yields microcracks (due to gas shrinkages) in the casting and a lower moisture content results in the poor strength of the mold. Therefore, the appropriate selection of control variables is essential to ensure quality manufactured products. The empirical relations could provide valuable guidance in this regard. Additionally, although the casting process was optimized for A356 alloy, it was mostly done for a single response. Therefore, this paper aimed to formulate empirical relations for the contradictory responses, i.e., hardness, ultimate tensile strength and surface roughness, using the response surface methodology. The experimental results were comprehensively analyzed using statistical and scanning electron microscopic analyses. Optimized parameters were proposed and validated to achieve castings with high hardness (84.5 HB) and strength (153.5 MPa) with minimum roughness (5.8 µm).