is a popular IELTS Academic Reading passage that explores the revolutionary field of combinatorial chemistry . This technique has transformed how pharmaceutical and biotechnology industries discover new drugs and materials by using automated systems to create vast "libraries" of chemical compounds simultaneously. Key Concepts in the Reading Passage
Based on common versions of this test, such as those found on Kanan.co and IELTSMaterial , here are the answers for the section: a buzz in the world of chemistry reading answers with
The text is a common IELTS Academic Reading passage that discusses the emergence of combinatorial chemistry . This branch of synthetic organic chemistry has become a significant "buzzword" or "in vogue" term within the pharmaceutical and biotechnology industries. Key Reading Answers is a popular IELTS Academic Reading passage that
or highly popular in the pharmaceutical and biotechnology industries. High-Throughput Synthesis: This branch of synthetic organic chemistry has become
“For years, we asked the data for answers. But the real reading answers came with a buzz — from six-legged chemists who never went to grad school.”
The primary goal is speed and efficiency. In the past, materials development was driven by slow trial and error. Combinatorial chemistry, often paired with newer technologies like , is helping to streamline this process, overcoming the old trade-offs between accuracy and cost.
| Statement | Answer | Explanation | |-----------|--------|--------------| | 1. Single-atom catalysts were first created using platinum nanoparticles. | | Paragraph B says SACs use isolated atoms, not nanoparticles. The first demonstration used platinum atoms, not nanoparticles. | | 2. Mechanochemistry has been universally accepted as reproducible. | False | Paragraph C states critics argue it lacks reproducibility; a 2019 study only partially settled the debate. Not universally accepted. | | 3. Artificial photosynthesis devices currently operate at over 10% efficiency. | False | Paragraph D: “efficiencies remain below 5%.” So 10% is false. | | 4. Machine learning models can perfectly predict stereochemistry. | False | Paragraph E: “it struggles with stereochemistry and novel substrates” – so not perfect. | | 5. The public has always viewed chemistry with enthusiasm. | Not Given | Paragraph F mentions public perception “tainted by pollution” but does not say “always.” No historical data given. |