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一頭牛日式燒肉適合多人分享嗎?》公益路美食新手指南|10家必吃推薦 |
| 休閒生活|旅人手札 2026/04/22 06:18:10 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人,臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」,從精緻西餐到創意火鍋,從日式丼飯到義式早午餐,每走幾步,就會有完全不同的特色料理餐廳。 這次我特別花了一整個月,實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店,也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準,整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你,找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型,從高質感牛排館到巷弄系早午餐,每一間都有自己獨特的風格。為了讓整體比較更客觀,我依照以下四大面向進行評比,並搭配實際用餐體驗來打分。
整體而言,我希望這份評比不只是「哪家好吃」,而是幫你在不同情境下(約會、家庭聚餐、朋友小聚、商業午餐)都能快速找到合適的選擇。畢竟,美食不只是味覺的滿足,更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段,從火鍋、燒肉到中式料理與早午餐,每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單,橫跨平價、創意、高級各路風格。
一頭牛日式燒肉|炭香濃郁的和牛饗宴,約會聚餐首選
走在公益路上,很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面,搭配昏黃燈光與暖色調的內裝,讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大,但桌距規劃得宜,每桌皆設有獨立排煙設備,烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂,絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網,讓人完全不用分心。整場用餐過程就像一場表演,從視覺、嗅覺到味覺都被滿足。 綜合評分
地址:408臺中市南屯區公益路二段162號電話:04-23206800 小結語一頭牛日式燒肉不僅是「吃肉的地方」,更像是一場五感盛宴。從進門那一刻到最後一道甜點,都能感受到他們對細節的用心。 TANG Zhan 湯棧|文青系火鍋代表,麻香湯底與視覺美感並重
在公益路這條美食戰線上,TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址:408臺中市南屯區公益路二段248號電話:04-22580617 官網:https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度,又結合現代風格與細節服務,讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店,湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店|明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂,那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主,陽光灑進室內,讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧,建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味,選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口,米芯保留微Q口感;而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香,口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹,無論是一個人帶電腦工作、或朋友聚餐,都能找到舒服角落。餐點上桌速度穩定,服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」,很適合想遠離忙碌日常的人。 綜合評分
地址:40861臺中市南屯區公益路二段18號電話:04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇,而是以「剛剛好」的份量與風味,陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店,NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物|平價卻用心的湯頭系火鍋,家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上,加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐,但靠著實在的湯頭與親切的服務,默默吸引許多回頭客。每到用餐時間,總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底,湯頭清澈卻不單薄,越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向,桌距寬敞、座位舒適,帶小孩來也不覺擁擠。店員態度親切,補湯、收盤都很勤快,給人一種「被照顧著」的安心感。 綜合評分
地址:403臺中市西區公益路288號電話:0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤,而是用最簡單的湯頭與新鮮食材,傳遞出家常卻不平凡的溫度。 印月餐廳|中式料理的藝術演繹,宴客與家庭聚會首選
說到臺中公益路的中式料理代表,印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名,把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設,每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏,都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法,讓人感受到「被款待」的尊榮感。 綜合評分
地址:408臺中市南屯區公益路二段818號電話:0422511155 小結語印月餐廳是一間「不只吃飯,更像品味生活」的地方。 KoDō 和牛燒肉|極致職人精神,專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗,一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉,以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址:403臺中市西區公益路260號電話:0423220312 官網:https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳,而是一場體驗。 永心鳳茶|在茶香裡用餐的優雅時光,臺味早午餐的新詮釋
走進 永心鳳茶公益店,彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤,無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」,都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和,對茶品介紹詳盡。上餐節奏剛好,不急不徐。 綜合評分
地址:40360臺中市西區公益路68號三樓(勤美誠品)電話:0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓|老饕級江浙功夫菜,穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主,兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址:408臺中市南屯區公益路二段95號電話:0423202322 官網:https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司|低調奢華的無菜單日料,職人手藝詮釋旬味極致
在熱鬧的公益路上,一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase(無菜單料理) 形式,每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘,節奏緩慢但沉穩。 綜合評分
地址:408臺中市南屯區公益路二段25號電話:0423206368 官網:https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂|人氣爆棚的和牛燒肉聖地,肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳,茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐,價格約落在 $700–$1000 間,份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快,整場用餐流程流暢無壓力。 綜合評分
地址:403臺中市西區公益路268號電話:0423281167 官網:https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質+輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後,臺中公益路不只是一條美食街,而是一段生活風景線。 有的餐廳講究細膩與儀式感,像 一頭牛日式燒肉 與 一笈壽司,讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心,像 加分昆布鍋物、永心鳳茶,讓人明白吃飯不只是為了飽足,而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店,則用穩定的品質與熱絡的氛圍,成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店,構成了公益路最動人的縮影 有華麗的,也有溫柔的;有傳統的,也有創新的。 每一家都在自己的風格裡發光,讓人吃到的不只是料理,而是一種生活的溫度與節奏。 對我而言,這不僅是一場美食旅程,更是一趟關於「臺中味道」的回憶之旅。 FAQ:關於臺中公益路美食常見問題Q1:公益路哪一區的餐廳最集中? Q2:需要提前訂位嗎? 最後的話若要用一句話形容這趟美食之旅,我會說: TANG Zhan 湯棧真的有那麼好吃嗎? 如果你也和我一樣喜歡用味蕾探索一座城市,那就把這篇公益路美食攻略收藏起來吧。永心鳳茶適合多人分享嗎? 無論是約會、慶生、家庭聚餐,或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。印月餐廳尾牙拍照效果好嗎? 下一餐,不妨從這10家開始。一笈壽司真的有那麼好吃嗎? 打開手機、約上朋友,讓公益路成為你生活裡最容易抵達的小確幸。一頭牛日式燒肉值得專程去嗎? 如果你有私心愛店,也歡迎留言分享,KoDō 和牛燒肉年末聚餐推薦嗎? 你的推薦,可能讓我下一趟美食旅程變得更精彩。一笈壽司適合辦尾牙嗎? Can DNA-nanoparticle motors get up to speed with motor proteins? Credit: Illustration by Takanori Harashima Researchers leverage their understanding of molecular motors to improve nanoscale artificial motors, aiming to bridge the speed gap between artificial motors and motor proteins. DNA-nanoparticle motors are exactly what they sound like: tiny artificial motors that harness the structures of DNA and RNA to generate motion through enzymatic RNA degradation. In simple terms, they convert chemical energy into mechanical motion by biasing Brownian motion. These motors operate via a mechanism known as the “burnt-bridge” Brownian ratchet. In this process, the motor moves forward as it “burns” the molecular bonds (or “bridges”) it encounters along its substrate. This degradation biases the random motion, effectively propelling the motor in one direction. DNA-nanoparticle motors are highly programmable and have potential applications in molecular computation, diagnostics, and targeted transport. However, they lack the speed and efficiency of their natural counterparts, motor proteins, which presents a significant challenge. This is where researchers come in to analyze, optimize, and rebuild a faster artificial motor using single-particle tracking experiment and geometry-based kinetic simulation. The Speed Bottleneck “Natural motor proteins play essential roles in biological processes, with a speed of 10-1000 nm/s. Until now, artificial molecular motors have struggled to approach these speeds, with most conventional designs achieving less than 1 nm/s,” said Takanori Harashima, researcher and first author of the study. Researchers published their work in Nature Communications on January 16th, 2025, featuring a proposed solution to the most pressing issue of speed: switching the bottleneck. The experiment and simulation revealed that the binding of RNase H is the bottleneck in which the entire process is slowed. RNase H is an enzyme involved in genome maintenance and breaks down RNA in RNA/DNA hybrids in the motor. The slower RNase H binding occurs, the longer the pauses in motion, which is what leads to a slower overall processing time. By increasing the concentration of RNase H, the speed was markedly improved, showing a decrease in pause lengths from 70 seconds to around 0.2 seconds. However, increasing motor speed came at the cost of processivity (the number of steps before detachment) and run-length (the distance the motor travels before detachment). Researchers found that this trade-off between speed and processivity/run-length could be improved by a larger DNA/RNA hybridization rate, bringing the simulated performance closer to that of a motor protein. Trade-Offs and Optimizations The engineered motor, with redesigned DNA/RNA sequences and a 3.8-fold increase in hybridization rate, achieved a speed of 30 nm/s, 200 processivity, and a 3 μm run-length. These results demonstrate that the DNA-nanoparticle motor is now comparable to a motor protein in performance. “Ultimately, we aim to develop artificial molecular motors that surpass natural motor proteins in performance,” said Harashima. These artificial motors can be very useful in molecular computations based on the motion of the motor, not to mention their merit in the diagnosis of infections or disease-related molecules with a high sensitivity. The experiment and simulation done in this study provide an encouraging outlook for the future of DNA-nanoparticle and related artificial motors and their ability to measure up to motor proteins as well as their applications in nanotechnology. Reference: “Rational engineering of DNA-nanoparticle motor with high speed and processivity comparable to motor proteins” by Takanori Harashima, Akihiro Otomo and Ryota Iino, 16 January 2025, Nature Communications. DOI: 10.1038/s41467-025-56036-0 Takanori Harashima, Akihiro Otomo, and Ryota Iino of the Institute for Molecular Science at National Institutes of Natural Sciences and the Graduate Institute for Advanced Studies at SOKENDAI contributed to this research. This work was supported by JSPS KAKENHI, Grants-in-Aid for Transformative Research Areas (A) (Publicly Offered Research) “Materials Science of Meso-Hierarchy” (24H01732) and “Molecular Cybernetics” (23H04434), Grant-in-Aid for Scientific Research on Innovative Areas “Molecular Engine” (18H05424), Grant-in-Aid for Early-Career Scientists (23K13645), JST ACT-X “Life and Information” (MJAX24LE), and Tsugawa foundation Research Grant for FY2023. Recent research discovers that our ability to distinguish similar memories improves over time due to the dynamic nature of engrams, brain cells involved in memory storage. This finding provides key insights into the treatment of memory disorders. Credit: SciTechDaily.com Neuroscientists demonstrate how the brain improves its ability to distinguish between similar experiences, findings that could lead to treatments for Alzheimer’s disease and other memory disorders. Think of a time when you had two different but similar experiences in a short period. Maybe you attended two holiday parties in the same week or gave two presentations at work. Shortly afterward, you may find yourself confusing the two, but as time goes on that confusion recedes and you are better able to differentiate between these different experiences. New research published today (January 19) in Nature Neuroscience reveals that this process occurs on a cellular level, findings that are critical to the understanding and treatment of memory disorders, such as Alzheimer’s disease. Dynamic Engrams Store Memories The research focuses on engrams, which are neuronal cells in the brain that store memory information. “Engrams are the neurons that are reactivated to support memory recall,” says Dheeraj S. Roy, PhD, one of the paper’s senior authors and an assistant professor in the Department of Physiology and Biophysics in the Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo. “When engrams are disrupted, you get amnesia.” In the minutes and hours that immediately follow an experience, he explains, the brain needs to consolidate the engram to store it. “We wanted to know: What is happening during this consolidation process? What happens between the time that an engram is formed and when you need to recall that memory later?” Dheeraj Roy, PhD, assistant professor in the Department of Physiology and Biophysics in the Jacobs School of Medicine and Biomedical Sciences at UB, is a senior author on a new paper that explains aspects of how memory works at the cellular level. Credit: Sandra Kicman/Jacobs School of Medicine and Biomedical Sciences The researchers developed a computational model for learning and memory formation that starts with sensory information, which is the stimulus. Once that information gets to the hippocampus, the part of the brain where memories form, different neurons are activated, some of which are excitatory and others that are inhibitory. When neurons are activated in the hippocampus, not all are going to be firing at once. As memories form, neurons that happen to be activated closely in time become a part of the engram and strengthen their connectivity to support future recall. “Activation of engram cells during memory recall is not an all or none process but rather typically needs to reach a threshold (i.e., a percentage of the original engram) for efficient recall,” Roy explains. “Our model is the first to demonstrate that the engram population is not stable: The number of engram cells that are activated during recall decreases with time, meaning they are dynamic in nature, and so the next critical question was whether this had a behavioral consequence.” Dynamic Engrams Are Needed for Memory Discrimination “Over the consolidation period after learning, the brain is actively working to separate the two experiences and that’s possibly one reason why the numbers of activated engram cells decrease over time for a single memory,” he says. “If true, this would explain why memory discrimination gets better as time goes on. It’s like your memory of the experience was one big highway initially but over time, over the course of the consolidation period on the order of minutes to hours, your brain divides them into two lanes so you can discriminate between the two.” Roy and the experimentalists on the team now had a testable hypothesis, which they carried out using a well-established behavioral experiment with mice. Mice were briefly exposed to two different boxes that had unique odors and lighting conditions; one was a neutral environment but in the second box, they received a mild foot shock. A few hours after that experience, the mice, who typically are constantly moving, exhibited fear memory recall by freezing when exposed to either box. “That demonstrated that they couldn’t discriminate between the two,” Roy says. “But by hour twelve, all of a sudden, they exhibited fear only when they were exposed to the box where they were uncomfortable during their very first experience. They were able to discriminate between the two. The animal is telling us that they know this box is the scary one but five hours earlier they couldn’t do that.” Using a light-sensitive technique, the team was able to detect active neurons in the mouse hippocampus as the animal was exploring the boxes. The researchers used this technique to tag active neurons and later measure how many were reactivated by the brain for recall. They also conducted experiments that allowed a single engram cell to be tracked across experiences and time. “So I can tell you literally how one engram cell or a subset of them responded to each environment across time and correlate this to their memory discrimination,” explains Roy.” The team’s initial computational studies had predicted that the number of engram cells involved in a single memory would decrease over time, and the animal experiments bore that out. “When the brain learns something for the first time, it doesn’t know how many neurons are needed and so on purpose a larger subset of neurons is recruited,” he explains. “As the brain stabilizes neurons, consolidating the memory, it cuts away the unnecessary neurons, so fewer are required and in doing so helps separate engrams for different memories.” What Is Happening With Memory Disorders? The findings have direct relevance to understanding what is going wrong in memory disorders, such as Alzheimer’s disease. Roy explains that to develop treatments for such disorders, it is critical to know what is happening during the initial memory formation, consolidation and activation of engrams for recall. “This research tells us that a very likely candidate for why memory dysfunction occurs is that there is something wrong with the early window after memory formation where engrams must be changing,” says Roy. He is currently studying mouse models of early Alzheimer’s disease to find out if engrams are forming but not being correctly stabilized. Now that more is known about how engrams work to form and stabilize memories, researchers can examine which genes are changing in the animal model when the engram population decreases. “We can look at mouse models and ask, are there specific genes that are altered? And if so, then we finally have something to test, we can modulate the gene for these ‘refinement’ or ‘consolidation’ processes of engrams to see if that has a role in improving memory performance,” he says. Reference: “Dynamic and selective engrams emerge with memory consolidation” by Douglas Feitosa Tomé, Ying Zhang, Tomomi Aida, Olivia Mosto, Yifeng Lu, Mandy Chen, Sadra Sadeh, Dheeraj S. Roy and Claudia Clopath, 19 January 2024, Nature Neuroscience. DOI: 10.1038/s41593-023-01551-w Now at the Jacobs School, Roy conducted the research while a McGovern Fellow at the Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University. Roy is one of three neuroscientists recruited to the Jacobs School this year to launch a new focus on systems neuroscience in the school’s Department of Physiology and Biophysics. Co-authors on the paper are from Imperial College in London; the Institute of Science and Technology in Austria; the McGovern Institute for Brain Research at MIT; and the Center for Life Sciences & IDG/McGovern Institute for Brain Research at Tsinghua University in China. The work was funded by the President’s PhD Scholarship from Imperial College London; Wellcome Trust; the Biotechnology and Biological Sciences Research Council; the Simons Foundation; the Engineering and Physical Sciences Research Council; the School of Life Sciences and the IDG/McGovern Institute for Brain Research. Roy was supported by the Warren Alpert Distinguished Scholar Award and the National Institutes of Health. A praying mantis (Hierodula sp.) – bites into the plates of the sensor. Credit: Volker Lannert/University of Bonn An Insect Bite Force Sensor System Has Been Developed by Researchers at the University of Bonn How hard can an insect bite? Strong chewing capabilities make it simpler to successfully break tougher food and defeat adversaries. The University of Bonn’s Department of Biology has developed the forceX mobile system, which measures the biting forces of small animals, and the forceR software, which analyzes the data. This makes it possible to comprehend the evolution of biting forces, such as those of insects. The results were recently published in the journal Methods in Ecology and Evolution. The praying mantis in the scientist’s palm wriggles a bit. The insect protects itself by biting down on the two metal plates that transmit pressure to a piezo crystal as it approaches the sensor. An amplifier transmits the voltage produced by the crystal, which is load-dependent, to a laptop. On the screen, many curves can be seen, some of which jerkily climb abruptly, reach a plateau, and then fall back to zero. Depending on how quickly an insect reaches the maximum power at which it may bite, the rise and fall may sometimes be flatter. The bite curves of a praying mantis – measured by the forceX system which can be seen on the laptop. In the background, Peter T. Rühr is performing the measurement. Credit: Volker Lannert/University of Bonn Hardly Any Data on Bite Force “There is hardly any data available on how hard insects can bite,” says Peter T. Rühr, a doctoral student at the Institute of Evolutionary Biology and Ecology at the University of Bonn. With their sensor system “forceX”, the researchers want to investigate how the mandibles, musculature, and head shape of insects have evolved to meet the challenges of their respective environments. “It may not always be advantageous to be able to bite hard, because maintaining the ability to bite strong demands higher energetic costs,” Rühr says. The bite force may depend, for example, on what food an insect feeds on or whether it needs the mandibles to defend itself. A light trap is used to catch insects in the dark and then measure their bite force. Credit: Peter T. Rühr/University of Bonn The team under the direction of Professor Dr. Alexander Blanke, who has been awarded a Starting Grant by the European Research Council (ERC), improved upon the systems already in existence for measuring bite forces. To determine if the mandibles of the insect being studied are in touch with the metal plates of the sensor at the proper area, the University of Bonn researchers employed a stereo microscope, which is similar to a powerful magnifying glass. The top plate uses a rocker to transmit the force to the sensor while the bottom plate remains stationary. Flexible Adjustment to Mandible Size Is Possible “Depending on the size and opening angle of the mandibles, we use differently sized, interchangeable bite plates,” says Rühr, explaining the advancements. “This allows the sensor to be adjusted over a relatively wide range to meet the particular requirements of the animals.” The complete system is battery-powered and can therefore be used for mobile measurements – even in the “wild”. A stag beetle (Lucanidae sp.) – biting the metal plates of the sensor. Credit: Peter T. Rühr/University of Bonn For stinging insects, the researchers use a holder made of plastic. The animals disappear completely in the vial, with only the head with its mouthparts protrudes from a small hole in the front. Rühr: “This allows us to better position the insects without having to hold them in our hands.” Usually, the animals do not need much persuasion before they bite. They feel uncomfortable in the unfamiliar environment and fight back with defensive bites. If this instinctive behavior fails to materialize, the researchers stroke the insect heads with a delicate brush – at the latest then the insects will close their jaws. High Accuracy of the Measurement For publication in Methods in Ecology and Evolution, the researchers determined the accuracy of the system: They did this by attaching different weights, ranging from one gram to almost one kilogram, to the movable metal plate. A total of 1,600 repetitions show that the deviation between measurements is a maximum of 2.2 percent. “That is very accurate,” says Rühr. The system can also be used to measure the force of scorpion or crab claws, for example. The mobile forceX system – fits comfortably in the trunk of a car. Power is supplied by rechargeable batteries. Credit: Peter T. Rühr/University of Bonn Rühr and Blanke built the system during their time at the University of Cologne, in part with the local precision engineering workshop. At the University of Bonn, they further optimized it and performed the accuracy measurements. The manuscript also describes the new “forceR” software, with which the bite force values and shapes of the bite curves can be evaluated and compared. The researchers do not want to bring the bite force sensor system to market. “Rather, the results presented in ‘Methods in Ecology and Evolution’ provide the basis for replicates,” Rühr says. Essential parts of the sensor can even be reproduced using a 3D printer. Reference: “forceX and forceR: A mobile setup and r package to measure and analyse a wide range of animal closing forces” by Peter T. Rühr and Alexander Blanke, 29 May 2022, Methods in Ecology and Evolution. DOI: 10.1111/2041-210X.13909 The study was funded by the European Research Council (ERC) and the German Research Foundation (DFG). RRG455KLJIEVEWWF |
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